The Marketing Front Lines

Willo is a candidate screening platform that helps hiring teams assess candidates at scale using structured, AI-assisted assessments instead of resumes alone. What launched in 2020 as a one-way video interviewing tool has evolved into a screening platform whose candidates complete assessments in more than 195 countries, with North America now driving roughly 55% of the company's revenue.In a recent episode of The Marketers of Technology, we sat down with Rachel Thomson, Chief Marketing Officer at Willo, to learn how she runs an 18-person marketing team that is entirely outsourced across nine countries and six time zones, and rebuilt the company's category positioning around language pulled directly from sales calls.Topics Discussed:How Rachel structured an entirely outsourced, 18-person marketing team so it doesn't bottleneck through herWhy she rebuilt Willo's category positioning from sales call recordings instead of internal consensusHow segmenting ICP by hiring frequency, not company size, determines Willo's funnel architectureWhy Willo's biggest demand-gen campaign, CV Free, targets candidates instead of the employers who pay for the platformWhat it means to keep AI limited to surfacing a shortlist while employers retain the final hiring decisionGTM and Marketing Lessons:Structure an outsourced team so it runs like a department, not a vendor stack: Willo's 18-person marketing function spans nine countries and six time zones, and every person on it is an agency, fractional, or contractor. Rachel said the real work wasn't assembling the roster, it was forcing direct handoffs between functions: "It takes a bit of heavy lifting, bringing your team together and telling organic to speak to paid. But when that starts to work and they start speaking to each other, it's amazing to see."Rebuild category language from sales call data, not internal consensus: When Willo's product expanded past video interviews, Rachel didn't run a positioning workshop. She had the team listen to Gong recordings of live sales calls to hear exactly how customers were describing the product. Customers kept calling it "candidate screening," so that became the external category term, replacing whatever language the roadmap team had been using internally.Split ICP by hiring frequency, and let that decide your funnel: Willo's ICP work goes past firmographics. "At a real simple term, we have occasional hires and we have always hiring teams as well," Rachel said, drawing the line between a coffee shop hiring one barista a year and an enterprise hiring daily. That split is what routes a prospect to self-serve sign-up versus a sales-assisted demo.Fund demand-gen for the side of the market that never signs a contract: Willo's paying customer is the employer, but adoption depends on candidates agreeing to interview through the platform. As Rachel put it, "The candidate as well has to want to go through an interviewing process with tools like Willo. Otherwise, employers aren't going to come to us and say we need to buy this tool." The CV Free campaign was built to win over candidates, not buyers.Let AI own the shortlist, not the decision: Employers feed Willo a "blueprint," their values, job description, and scoring matrix, and every candidate response is scored against it. But Rachel was clear about where the line stays: "The human is always going to make the decision, so the employer is always going to make the decision. What Willo is going to do is just help them get there faster, fairer, and more confidently than ever before."Sponsors: Front Lines - Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

Ethicrithm is an AI advisory organization that helps enterprise companies build self-optimizing operations using the Palantir platform. The company partners with enterprise clients through forward-deployed engineers who sit inside customer operations to solve governance and organizational change management challenges at scale.In a recent episode of The Marketers of Technology, we sat down with Carrie-Anne Mercer, Chief Marketing Officer at Ethicrithm, to learn how she built differentiated positioning for a two-year-old startup inside a mature partner ecosystem dominated by global systems integrators.Topics Discussed:How Carrie-Anne identified Ethicrithm's positioning within the Palantir ecosystemWhy forward-deployed engineering became both a delivery model and a source of market intelligenceHow two ISG lens study citations as "product challengers" validated Ethicrithm's positioning strategyWhy Carrie-Anne built a custom brand health index instead of relying on off-the-shelf measurement toolsHow a self-serve maturity assessment generates qualified demand by letting prospects self-identify their gapsWhat it means to build trust in an ecosystem where third-party validation carries more weight than self-promotionCarrie-Anne's marketing philosophy: differentiation over claims of being betterHow a small marketing team selects for impact rather than volumeGTM and Marketing Lessons:Find your differentiation inside the customer's actual problem: Carrie-Anne said the company identified two specific areas where customers were struggling to scale the Palantir platform: governance and organizational change management. Because Ethicrithm's engineers were forward-deployed inside client operations, they could see these failure points firsthand. That direct proximity to the customer became the insight engine for positioning.Let customers self-identify before the sales conversation: Rather than leading with a pitch, Ethicrithm built a maturity assessment on their website that lets prospects see exactly where they stand. Carrie-Anne said, "We're not telling them where they're falling down, they're telling us where they're falling down, and it's almost as if they're raising their hand."Third-party validation is a trust amplifier in crowded ecosystems: ISG, a major analyst firm, named Ethicrithm a product challenger in two categories within their lens reports - notable for a company under two years old. Carrie-Anne used those citations as the anchor for subsequent campaigns, turning external endorsement into awareness and pipeline.Measure brand health like a competitive intelligence function: Carrie-Anne built a proprietary brand health index that tracks Ethicrithm against its five nearest competitors across eight weighted indicators including share of voice, SEO and AEO presence, visual identity, and messaging differentiation. She reviews this monthly and shares it with leadership to track competitive movement.Differentiate by being different, not just better: Carrie-Anne's core positioning philosophy is to avoid "me too" positioning. She said, "Don't try and claim to be better because everybody is saying me too. Try to be different. So find the areas that you're different at and build out positioning around that because there's going to be a gap in a customer need, and you can probably fill it in that way."Stay ready to pivot in a fast-moving AI market: Her advice to any marketing leader in AI is to sit on the edge of your seat and be ready to pivot at any time, because customer perceptions and behaviors around AI are shifting continuously.Sponsors: Front Lines - Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

VSimple is a workflow-as-a-service company serving dealer distribution networks, equipment companies (forklifts, heavy machinery, agricultural and construction equipment), and commercial interiors businesses across North America. About five years old, it started as a workflow automation platform for lagging technology adopters and recently launched an agentic AI layer focused on translating intake processes into revenue.In a recent episode of The Marketers of Technology, we spoke with Bronson Cordle, Vice President of Marketing at VSimple, about how he built a B2B marketing motion for an audience that does not click on Google ads.Topics Discussed:How Bronson's background in ministry and warehouse operations shaped his marketing philosophyWhy VSimple's ICP lives on Facebook, not LinkedInHow in-person events became VSimple's most effective trust-building channel for lagging technology adoptersHow multi-channel touch points cut VSimple's sales cycle roughly in halfWhy VSimple keeps a human graphic designer even as AI-generated creative becomes commonVSimple's new agentic AI offering and how Bronson is positioning it to buyers who have resisted change for yearsWhy Bronson believes marketing must always put the person first, not the metricThe growing problem of digital advertising fraud and AI-generated bot trafficGTM & Marketing Lessons:Find your ICP where they actually are, not where you expect them to be: Bronson said Meta ads perform "way better than I would like to admit" for VSimple's audience. Traditional equipment dealers and distribution companies are not heavy LinkedIn users. They are on Facebook watching sports and looking at photos of their grandchildren. Channel selection has to follow actual buyer behavior, not category convention.Relational selling compresses the sales cycle for skeptical buyers: VSimple reduced its sales cycle roughly in half by combining in-person events, a new offer structure, and account executives with genuine industry expertise. For buyers who have operated on paper for decades, trust is not built through ads. It is built through direct, human contact.Trade show presence is about trust, not impressions: VSimple attends industry association events with a standard 10x10 booth. The goal is not brand impressions. It is handshakes and conversations. The in-person channel is harder to scale and more resource-intensive, but it creates the kind of trust that eventually makes a skeptical buyer willing to hear a pitch.Human judgment still matters in AI-generated creative: Bronson keeps a dedicated graphic designer on the team even though the team uses AI tools. The workflow is AI for the first draft, human for the final product. He described needing "taste" and "curation" - the kind of judgment that produces better output faster than prompting alone.Marketing has to ask "would I do this?": When a team member proposed a quiz-based MQL capture flow, Bronson pushed back by asking whether their ICP would actually complete it. His test: before any lead capture mechanism, ask whether the target buyer would genuinely engage. If the answer is no, the mechanism is optimized for the marketer, not the buyer.Digital ad fraud is a growing operational problem: Bronson called this the most frustrating issue in his current marketing stack. AI-powered browser emulation has made it harder to distinguish genuine leads from automated traffic. His response is to keep the focus on the human being behind every metric.Sponsors: Front Lines - Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

Flowdesk is a regulated digital asset trading and technology firm offering liquidity solutions and over-the-counter trading to institutional clients including asset managers, banks, and institutional asset issuers.In a recent episode of The Marketers of Technology, we sat down with Tyler Fleischer, Vice President of Marketing at Flowdesk, to learn how he led a six-to-seven-month brand repositioning for a company that had built its business entirely through word of mouth, with no formal marketing function, before he arrived.Topics Discussed:How Tyler moved from financial media to crypto marketing at The TIE and then to FlowdeskWhy trust is the single most important marketing lever for an institutional finance businessHow Flowdesk grew through word of mouth and leadership networks before any formal brand existedWhy the company's internal and external descriptions of itself were inconsistent before the rebrandThe six-to-seven-month repositioning process: discovery sessions, new website, updated visual identity, and unified messagingWhy Flowdesk wants to appear in AI and LLM search results for institutional crypto trading solutionsHow Tyler operates as the sole marketer inside a company of roughly two hundred peopleWhy employee-led and founder-led content now outperforms branded channel content in B2BHow Flowdesk uses AI for reporting and marketing intelligence, not content creationWhat a holistic PR and comms strategy looks like for a regulated financial institution trying to reach traditional financeGTM & Marketing Lessons:Brand must match commercial reality: When Tyler joined Flowdesk, the company had strong commercial relationships but a brand and visual identity that did not reflect what the business had become. "We had really become a really trustworthy and the go-to partner for token issuers and asset issuers and institutional traders... mainly all through word of mouth," Tyler said. The mismatch between commercial credibility and brand presence was the trigger for the full repositioning.Internal alignment before external positioning: One of the most revealing problems Tyler identified was that employees described Flowdesk differently depending on who you asked. "There is a big problem, even people who weren't as close to the business internally are describing Flowdesk very differently than other people in the company." The website relaunch was as much an internal alignment tool as it was an external marketing play.Trust is not a campaign, it is a system: In institutional finance, clients evaluate counterparties based on proven track record, observed reputation, and whether other institutions they respect are already working with that firm. "You can mess up your reputation in the matter of five minutes while it takes five years to build a good reputation," Tyler said.Employee-led content over branded channels: Tyler sees a clear shift in B2B marketing where buyers prefer to hear directly from founders and employees rather than branded accounts. "Founder-led and employee-led content is crucial and really, really important for driving growth," he said.AI as an intelligence layer, not a content factory: Flowdesk uses AI primarily to build marketing dashboards, analyze what is working, and optimize spend. "The most powerful use case that we're leveraging is building that marketing intelligence layer... AI is really just making the data that we collect as marketers so much more useful and actionable," Tyler said.Earned media as trust infrastructure in finance: Tyler's primary goal heading into 2027 is building a full PR and comms strategy so that Flowdesk appears in the sources traditional finance institutions rely on. // Sponsors: Front Lines - Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

Strety builds EOS software for companies running on the Entrepreneurial Operating System, a business management framework that has been around for roughly 20 years. The software consolidates core EOS tools alongside performance, project, and engagement features, replacing the spreadsheets, Word documents, SharePoint folders, and project management apps that many EOS users piece together.In a recent episode of The Marketers of Technology, host Andres Figueira sat down with Samantha Ngo, Head of Marketing at Strety, to learn how she markets a product that sits inside a well-established methodology to buyers who range from farm owners to tech startups to 40-year-old manufacturing businesses.Topics Discussed:How Samantha pivoted from professional cooking to marketing, starting with e-commerce copywriting and freelance generalist workWhy Strety's ICP is broad by industry but very specific in one dimension: all buyers are already running on EOSHow customer stories became the foundation for ads, content, and community buildingThe cheerleader meme campaign that generated strong LinkedIn engagement at low costWhy new trials, not MQLs or pipeline, is Samantha's North Star metricHow Strety uses Claude connectors with HubSpot, Google Search Console, and Google Analytics for faster data analysisWhy Samantha does not use AI for original content creationHow Strety is building toward organic product video to serve the self-serve buyerThe 100-person customer summit in Park City, up from two user groups of 25Conference presence in Sydney and Birmingham with a lockbox raffle lead gen activationGTM and Marketing Lessons:Make the customer the hero, not the product: Samantha's first move at Strety was to write 10 case studies in her first two months. The goal was not just content creation. It was building a real perspective on how customers describe their problems and where the product fits into their story. Those conversations became the raw material for ads, content, and community building.Meme marketing works in dry software categories: Business operating system software reads as corporate and boring. Samantha ran a cheerleader meme on LinkedIn and Facebook that got strong engagement at lower cost than typical LinkedIn campaigns. North Star metrics should reflect where conversion actually happens: Samantha's North Star is new trials. Strety's conversion rates are strong once someone is inside the product, so all marketing energy points at getting people to try it, not just into the funnel. AI speeds up data work that used to take hours: Samantha runs Claude connectors with her major ad platforms, Google Search Console, Google Analytics, and HubSpot. She pulled a 90-day analysis of demo conversations in a single HubSpot chat session. Weekly Google Ads keyword optimization that was previously a manual process now returns as recommendations. Know where AI helps and where it does not: Samantha uses AI for data analysis, structured content like SEO and AEO, and case study drafts. She does not use it for original content. Self-serve buyers need to see the product before they reach the demo: Many buyers today will not book a call. Strety's product converts well on demo and in trial, but a significant share of buyers evaluates software without ever talking to a human. Events are lead gen infrastructure, not just brand: Strety runs booths at EOS conferences in Sydney and Birmingham. At both events, a lockbox raffle where attendees enter a code to try to unlock a box generates leads outside the standard badge-scan system and gives people a concrete reason to stop at the booth.// Sponsors: Front Lines -- Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

EverestLabs is building physical AI for material processing and recycling facilities - AI vision systems, robotics, and agentic AI that automate sorting and recovery in some of the most operationally chaotic environments in industrial processing.In a recent episode of Marketers of Technology, we sat down with Apurba Pradhan, Chief Product Officer and Head of Marketing at EverestLabs, to learn how the company markets AI and robotics to an industry where trust is the primary barrier to adoption, and where the real competition is not another vendor - it is inertia itself.Topics Discussed:How Apurba transitioned from design engineering and photonics into product marketing and eventually CPO and Head of MarketingWhy EverestLabs competes against inaction, not other AI and robotics vendorsHow the company builds trust with operators who are skeptical of automation and are not early adoptersWhy peer site visits and roadshows became the most effective sales tool, outperforming digital campaignsHow EverestLabs sells performance as a service, not hardware or softwareHow the company is scaling from 5-10% TAM penetration to broader market adoptionWhy EverestLabs entered Australia and is now expanding into the UKThe agentic AI roadmap and how EverestLabs plans to build additional products on top of their physical AI dataGTM and Technology Adoption Lessons:When the market does not trust the technology, peer proof beats everything: Apurba said the most effective marketing tool the company has found is hosting site visits and roadshows where skeptical operators meet other operators who are already running Everest Labs systems. No digital campaign competed with what a peer saying "this is working" could do for the sales cycle.Sell the outcome, not the components: Everest Labs does not sell AI, cameras, robotics, and software separately. They sell performance. Apurba was explicit: "We sell an outcome. And you know, in order to deliver that outcome, what do you need? You need AI, you need hardware first capturing data..." The all-inclusive subscription strips away the technical complexity the operator cannot manage.The real competition is inertia: Apurba described competition not as other AI vendors but as the habit of running plants manually. The question is not whether operators prefer another product, it is whether they trust automation at all. Understanding that framing shapes how Everest Labs positions every conversation.Subscription pricing that beats the status quo closes faster: Everest Labs structured its subscription so that it costs less than what operators are currently spending. "The ROI or the payback is nearly immediate." At that price point, the conversation shifts from cost to trust.// Sponsors: Front Lines -- Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

Parabilis provides revolving lines of credit to small and mid-sized businesses operating in the federal marketplace. The company was founded by former federal contracting executives in 2013, grew entirely through word of mouth for years, and brought on its first dedicated marketing leader in 2020.In a recent episode of Marketers of Technology, we sat down with Teresa Moon, Vice President of Communications and Marketing at Parabilis, to learn how she built a content and category creation strategy for a highly regulated, niche financial services company serving government contractors.Topics Discussed:How Teresa came to lead marketing at a finance company with no prior marketing backgroundWhy word of mouth alone could not sustain long-term growth for ParabilisHow Teresa translated her teaching and sales experience into a content strategy for a regulated industryWhy Parabilis created its own category ("federal market credit") instead of accepting the "alternative lender" labelHow Parabilis started appearing in ChatGPT and Claude before they were actively targeting those platformsWhy GEO (Generative Engine Optimization) became a meaningful differentiator for a niche lenderHow their podcast "Spilling the Tea on GovCon" humanizes the brand and builds trust with both government agencies and small businessesHow Teresa thinks about the intersection of marketing and sales for a boutique lenderMarketing Lessons:Category creation as a defensive move: Teresa said the finance and government contracting industries are both saturated. Rather than compete as an "alternative lender" — a label she said carries negative connotations — Parabilis created a new category called "federal market credit." That specificity allowed them to differentiate in both SEO and GEO contexts.Content built for education earns trust in regulated markets: Teresa came from a teaching background and approached marketing by asking how she could make complex financial topics digestible. She said her goal was to give potential clients enough information to "advocate for yourself." In financial services, where the conversation requires some vulnerability from the client, that approach reduced friction.Showing up in AI before you try: Parabilis started appearing in ChatGPT and Claude search results for terms like "federal contract financing" before they had any intentional GEO strategy. Teresa said that was because the content creation and thought leadership they had already done was being pooled by those platforms.Podcasting as business development: Parabilis runs a podcast called Spilling the Tea on GovCon that focuses on storytelling rather than finance or government topics directly. Teresa said the goal was to give government agencies and large businesses a forum to talk about their published objectives, which in turn softened those institutions toward Parabilis.Human interaction as a marketing asset: Teresa said that some of the best marketing executives understand the mechanics of KPIs and metrics but are not comfortable getting in front of a camera. She built her marketing approach around that willingness to show up personally, which she traced back to her time in multi-level marketing where she ran video series.// Sponsors: Front Lines — Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

HappySignals builds experience intelligence software for enterprise IT. Most IT tools measure technical performance: uptime, ticket volumes, resolution times. HappySignals measures what those tools miss: how employees actually experience the technology they use every day.In a recent episode of Marketers of Technology, we sat down with Audrey Agahan-Nurmisto, Vice President of Marketing at HappySignals, to talk about marketing a category that most IT buyers don't know they need yet, why a Love Island campaign became the highest-engagement LinkedIn content the company has ever run, and why she disagrees with the trend of cutting marketing headcount for AI.Topics Discussed:How Audrey built her B2B marketing career over 20-plus years, from marketing teams of one at startups to leading teams of twentyWhy HappySignals has to educate buyers on why measuring the human experience of IT matters before it can generate demandHow the team targets specific use cases tied to buyer goals as a more practical entry point than leading with the category storyThe Love Island campaign that caused internal debate but produced the highest LinkedIn engagement the company had seenHow a six-person marketing team markets to enterprise IT leaders across Europe, North America, and AustraliaHow HappySignals connected its messaging guide and brand guidelines to AI tools so sales can generate content without waiting on marketingThe two-week sprint model the team uses to stay focused and run experiments fasterHow the team is running parallel experiments across three markets to find which has the fastest inbound pathWhy Audrey thinks companies cutting marketing headcount for AI will need to rebuild those teams laterMarketing Lessons:Market education comes before demand: Audrey said the existing tools IT companies use already give them their own way of measuring technology, so HappySignals has to help buyers understand why measuring the human experience matters. Rather than leading with the category story, the team targets specific use cases tied to buyer goals - like mean time to resolution for IT tickets - as a practical entry point.Creativity in B2B requires the willingness to be wrong: The Love Island campaign announcing a partnership generated internal pushback. Some colleagues felt CIOs would find it unprofessional. It became the highest-engagement LinkedIn content the company had run. Audrey said: "you can't make everybody happy and we took a risk and we wanted to be really creative."AI works best with guardrails built in: HappySignals put its messaging guide and brand guidelines inside its AI tools so sales teams can create emails and decks without relying on marketing. The system produces on-brand content without marketing as the bottleneck.The homogenization problem with AI content: Audrey's concern about companies cutting teams for AI is not just quality - it's differentiation. "If everybody's using AI, they're getting like a lot of the same ideas." The companies that will stand out are the ones with people who can bring creative direction AI cannot replicate.Sprints keep a small team from spreading thin: The HappySignals marketing team runs two-week sprints aligned with the product team. The structure forces everyone to focus on one initiative at a time, which helps a team of six move faster than if each person were running separate workstreams simultaneously.// Sponsors: Front Lines - Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

Sam Ancliff is Head of Marketing at i-nexus and author of Building Tall, a marketing playbook he originally wrote as an internal guide for his team. i-nexus is strategy software that helps organizations align people and projects to their goals. Sam came to marketing by accident, starting his career in the British Army, then moving into recruitment, before discovering that what he loved was building his own brand.In a recent episode of The Marketers of Technology, Andres sat down with Sam to learn how he rebuilt the marketing function at i-nexus, identified a precise ICP inside a massive and largely undiscovered market, and developed a system for scaling demand without adding headcount.Topics Discussed:How Sam went from British Army linguist to accidental marketerWhy Sam wrote Building Tall as an internal playbook before it became a bookHow i-nexus identified German manufacturing companies as its primary ICPWhy Sam cut from 50 SQLs per month to 10 to fix a 7% conversion rateHow i-nexus is using a partner-first model to scale in Germany without growing headcountWhy Sam believes most organizations in their market are still running strategy on Excel spreadsheetsHow i-nexus plans to turn its website into an AI chatbotSam's goal: automate as much of his marketing job as possible by end of 2026GTM & Marketing Lessons:Start with the data before you pick the market: Sam did not guess which customers to go after. He pulled every data point he could access and looked for patterns across conversion rates, deployment ease, and customer growth. German manufacturing companies won on every measure. That became the ICP.Cutting volume is not failure if conversion was the problem: Sam went from sending sales 50 SQLs per month to around 10. On the surface that sounds like a step backward. But the prior conversion rate was 7%. Those 50 leads were costing the sales team 50 hours of discovery calls that went nowhere. The smaller number represented a genuine signal.Build one pillar before starting the next: The Building Tall system is about getting exceptional at one thing before adding adjacent efforts. Once i-nexus had the German manufacturing motion working, including content, campaigns, and partners, the US expansion became largely a translation exercise.Use partners to scale what headcount cannot: With a total company of about 25 people and a marketing team of 7, i-nexus cannot hire its way into new markets. The partner model in Germany lets i-nexus reach customers, handle referrals, and manage implementation without proportionally growing the team.Match the website experience to the product experience: Sam is rebuilding the i-nexus website as an AI chatbot because the product now surfaces data through AI insights. If the product is agentic, the marketing surface should introduce that way of working from the first interaction. Sam said people who bounce off the AI front page probably were not going to use the product anyway.// Sponsors: Front Lines — Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

SafetyWing is building a social safety net for people who live, work, and travel across borders — covering health insurance, income protection, disability, and life insurance that follows you around the world. The company was founded in 2017 and has insured over 400,000 people through its consumer products. Its Trustpilot rating sits at 4.3 stars. Its NPS score is 10x the insurance industry average.In a recent episode of Marketers of Technology, we sat down with Joey Flores, Head of Marketing at SafetyWing, to learn how a nine-year-old company built category leadership in global health insurance by rejecting fear-based marketing and betting on an aspirational brand identity.Topics Discussed:How SafetyWing builds trust across a product category where customers hope they never need the productWhy SafetyWing uses cartoon birds instead of the fear-based visual language that defines traditional insuranceHow "create, don't copy" shapes every marketing and brand decision at SafetyWingWhy the company launched a US-specific team health plan after years of global-first productsHow SafetyWing is using AI to compress the time between claim submission and resolutionThe ambassador program featuring extreme adventurers and what it reveals about SafetyWing's brand strategyHow the brand's distinctiveness shortens the customer recognition path in a crowded marketGTM and Technology Adoption Lessons:Brand distinctiveness as adoption infrastructure: Joey said the cartoon birds create a shortcut. "the birds are just so damn memorable, like, you don't expect it from an insurance company." Aspirational branding in a fear-driven category: Traditional insurance marketing creates urgency through fear of loss. SafetyWing chose the opposite. Joey explained: "We don't think of ourselves as an insurance company. Trust has to be rebuilt with each new product: SafetyWing's 4.3 Trustpilot score and 10x industry NPS are earned on existing products. But when the company launched income protection, Joey noted: "when we, when we roll out new products, for example, there's a bit of like doing that again, right? Like, okay, I trust you with my health. But like, you know, our newest product has income protection.Create, don't copy as a design constraint: When redesigning the homepage, the team came in with a standard three-plan pricing layout. A founder pushed back. Joey said: "every landing page I've ever been on has three plans next to each other. And the goal is always that you pick. The consumer will pick the middle plan... I was like, this is just like, I'm so tired of seeing this. It's like, can we do something else?" The principle is not novelty for its own sake. It is the recognition that best practices are defaults, and defaults are opportunities for differentiation.Ambassador programs as brand proof: Sponsoring Ria G., who is running 20,000 km from China to Portugal, completing her 66th consecutive ultra marathon at the time of recording, is not a traditional brand awareness play. It is a live demonstration of what SafetyWing makes possible.AI for claims process improvement: SafetyWing deployed AI to flag missing claim documents at the point of submission rather than days later after human review. Joey described the practical impact: "it doesn't just shorten it by the two days it took a human to review it, it may shorten it by the two weeks that they would have waited to sit down again and do it." US expansion as a distinct product bet: The global team health plan has been running for years. The US plan launched at the start of 2026 because US healthcare operates in a different regulatory and pricing environment.// Sponsors: Front Lines - Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

Aiode is a deep tech AI and music AI company that has built proprietary models enabling professional music creators to produce ethically sourced, performable music. The platform operates as a professional DAW-like environment - with knobs, timelines, and model configurations - rather than a text-based interface. Aiode's three core models include single musician models (virtual representations of real artists built with consent), a synergy model for production fills, and the Sample Remaker, which adapts any sample to the tempo and feel of a current project. Every model on the platform was trained on proprietary, licensed, or owned data, and musicians receive revenue share payments each time their model is used. The company is partnered with Abbey Road Studios and has passed 100,000 users.In a recent episode of Marketers of Technology, we sat down with Varda Caspi, Vice President Marketing of Aiode, to learn how she built the company's brand from zero - no brand, just a name - and positioned it as the ethical alternative in an AI music market that often treats data as a resource to be scraped.Topics covered:How Aiode's proprietary training approach gives users full ownership of everything they create on the platformThe "prosumer" target market - professional consumers who evaluate tools with B2B scrutiny but behave like B2C on retail habitsWhy Aiode set its three-year positioning before releasing the initial alphaHow a community-first strategy (Discord, thousands of one-on-one calls in year one) generated 100,000 users on a low budgetThe Abbey Road partnership and how third-party credibility anchors trust in a crowded AI marketWhy Aiode's platform produces only performable music and why that matters to professional producersGTM and marketing takeaways:Set positioning before you launch: Varda built Aiode's three-year brand framework before the alpha was releasedFlank the market leader: rather than competing head-on for the mass B2C market, Aiode targeted the prosumer - a segment that buys like a consumer but vets like a B2B buyerEngage critics directly: Aiode's community strategy included going to Discord and inviting skeptics, including people who opened with "music AI needs to die"Trust through association: the Abbey Road partnership gave Aiode immediate credibility with the professional audience it was targetingLet the business model prove the message: paying musicians revenue share on every model use made the "ethical AI" positioning verifiable, not just verbal

WindBorne Systems builds a network of autonomous weather balloons that stay aloft for 12 to 15 days and collect 30 to 50 times more data than traditional weather balloons, which are latex balloons that go up and pop after 90 minutes. The company sells weather data to the government and has partnerships with the Gates Foundation. WindBorne is the only in-situ weather data provider for the global forecasting system, meaning that when you check your phone for the weather, you are getting data from their balloon network.In a recent episode, we sat down with ⁠Ellie Yoon⁠, Head of Communications at ⁠WindBorne Systems⁠, to learn how a one-person comms team is building brand awareness, earning media coverage, and turning an entire company into a marketing function without a conventional marketing budget.Topics Discussed:How Ellie structures marketing when the product is weather data sold to governments and the company does not run conventional adsWhy she set a goal to get WindBorne balloons placed in science museums across the countryHow WindBorne earned a spot on TIME's Best Inventions of 2025 through relationship-building, not a PR campaignWhy she sent a company-wide message declaring that every employee is part of the marketing teamThe "Let's talk about the weather" hats and how they became a network of walking billboardsHow WindBorne's Met Gala-themed event at SF Climate Week built community without a big marketing budgetThe dinner table framework: how Ellie thinks about reaching three different audiences with three completely different reasons to care about better weather forecastingThe goal of putting 10,000 balloons in the air and what a 30-day weather forecast could mean for everyday decisionsWhy WindBorne's R&D balloon "The Elder" stayed up for 345 days and set the world record for longest stratospheric balloon flightGTM & Technology Adoption Lessons:When your product is invisible, make your hardware tangible: WindBorne sells data, but the balloons are physical and visible. Ellie recognized that "the moat is the very thing that brought me from New York to San Francisco, which is we have tangible hardware." Getting people to see a balloon go up in person changes how they understand the technology. Turn your employees into a distributed ambassador network: With limited budget and no billboard, Ellie created a hat that says "Let's talk about the weather" and built it into a credentialing system. Employees who speak at conferences or attend events get the hat. Build toward channels where your buyer is already present: When asked to drive inbound, Ellie chose science museums. The reasoning was specific. She needed name recognition before LinkedIn ads could work. Parents taking kids to SF Bay Area science museums are statistically likely to work in tech. Maintain media relationships, not just lists: The TIME Best Inventions 2025 recognition came from a reporter who had previously interviewed CEO John. Ellie keeps her media list updated weekly, tracks the last time she spoke with each reporter, and preps journalists for how fast John speaks. Declare accountability before assuming it exists: Ellie sent an internal message telling every WindBorne employee they were part of the marketing team. She said it changed people's behavior. The announcement created accountability for how employees pitch the company and represent it externally. Budget constraints as a forcing function: The limited marketing budget pushed Ellie toward approaches that turned out to be more durable than paid channels. The scarcity kept her oriented toward earned media, community events, and in-person presence. // Sponsors: Front Lines -- Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

Doktar Technologies is an Istanbul-based agri-intelligence company that builds AI-powered tools and programs to transform agriculture. The company's platform combines proprietary IoT hardware devices - deployed directly in agricultural fields - with integrated AI models that process field data and translate it into actionable insights. Doktar serves two main segments: large farmers and farming communities (B2C), and major corporate agribusiness clients including Nestle, Coca-Cola, Danone, Microsoft, and Cargill (B2B). The company measures its impact across five pillars: water management, soil health, biodiversity preservation, farmer livelihoods, and carbon reduction and removal.In a recent episode of Marketers of Technology, we sat down with Bengi Yeniaydin, Head of Marketing at Doktar Technologies, to learn how she rebuilt a leaderless marketing team from scratch, constructed a unified data-backed brand narrative for a complex AI and IoT platform, and why the most important thing a marketer can do in an AI-saturated content environment is stay calm and filter the noise.Topics Covered:How Doktar's platform combines IoT field devices with AI models to deliver measurable agricultural outcomes for farmers and corporate clientsThe challenge of building a complete, data-backed brand narrative where previously only fragmented product-level stories existedWhy Bengi's industrial engineering background drove a systematic, process-first approach to restructuring the marketing function after nearly two years without a leaderManaging a multidisciplinary six-person team across brand, content, growth, product marketing, events, and corporate communicationsHow Doktar avoids AI-generated content sameness by combining AI tools with mandatory whole-team review before any content is publishedDoktar's 2026 priorities: deepening data-backed storytelling, localizing the global narrative, and expanding presence across the Middle East, Europe, and AfricaGTM Takeaways:Sell outcomes, not features. Customers - whether individual farmers or Fortune 500 procurement teams - care about measurable impact, not product specifications or data accuracy claims. Bengi made this shift the foundation of Doktar's new brand narrative.Fix the process before fixing the messaging. Bengi's first moves at Doktar were structural: rebuilding tone guides, reassigning roles, reactivating stalled projects, and mapping the internal collaboration breakdown that was limiting external clarity.A global narrative needs local roots. Doktar's storytelling approach builds one cohesive impact story at the global level, then localizes it through farmer case studies and country-specific content for each new market.Resist AI content inflation. Bengi's team uses AI tools actively, but every piece of content goes through collective team review before publication. The goal is to preserve the company's voice and value proposition in a landscape where most AI-generated content sounds identical.Internal alignment drives external clarity. Breaking out of the marketing silo and working closely with sales, sustainability, and business development is what makes consistent, credible messaging possible for a small team covering multiple markets.

Lauren Esposito spent 13 years at Salesforce leading some of the company's most complex brand integration work -- helping more than 20 acquired companies come into the Salesforce ecosystem, building the first global brand marketing organization, and working on the launch of Agentforce. When she joined Asymbl as CMO, she walked into a different kind of challenge: a full repositioning of a Salesforce partner into an AI workforce orchestration company, with a team of three and four months to get it done.The answer was the company's own philosophy. Asymbl does not deploy AI as a set of tools. It hires AI as a workforce - with names, job descriptions, KPIs, and a human manager responsible for coaching each digital worker week over week. The rebrand was built by running that philosophy on the rebrand itself.In this episode, Lauren breaks down how the work got done, what the AI org chart at Asymbl actually looks like, what she is looking for in AI-fluent hires, and why she believes the biggest rebrand mistakes come from projecting too far ahead rather than staying grounded in what is true right now.Key topics covered:Why Asymbl repositioned from a tools-focused AI narrative to treating AI as digital workers with human managersHow Lauren executed a four-month rebrand with a team of three and a 60-day budget, using AI to cover the execution gapThe internal AI org chart: Casey (digital content guardian), Sim (mascot turned generative asset), the inbound prospecting worker, service workers tracking project risks, and a Slack-based digital worker made up of 50 agentsAI fluency in hiring: the new role type Asymbl is building - people who coach and manage AI rather than just use itThe governance reality: skills that get built and then locked down, integrations that go offline, and why mitigation planning is not optionalBuild vs. buy vs. borrow: why the question is not just "can we build this?" but "should we?"Community sharing -- an internal Slack channel where employees share what they have built -- as the fastest driver of adoptionRebrand advice: authenticity over tactics, and staying grounded in what is factually true rather than chasing trendsGTM Takeaways:Repositioning requires a "why" before a look. Lauren's first step was not naming a design agency. It was answering why the rebrand was necessary. The answer - Asymbl had developed a genuinely distinct philosophy around AI as a workforce - became the foundation for every brand decision that followed.Apply your own product to your own work. The only way a team of three could execute a four-month rebrand was to use the same AI workforce approach Asymbl sells to clients. Name your digital workers. Asymbl gives every AI worker a name and a place on the org chart. Lauren found that naming accelerates adoption: "when you kind of name these digital workers, it's the same thing as naming your mascot. All of a sudden you can assign it a role, a mental model in your head how to work with it, how to collaborate with it. And that adoption, right, just kind of sinks in almost naturally."Every AI worker needs a human manager. At Asymbl, every digital worker has a human manager responsible for coaching them week over week. This is not cosmetic structure - it is the accountability mechanism that keeps AI outputs aligned with business needs.Start with what you dread. The most practical advice Lauren offered for AI adoption: find the task that costs you the most energy and figure out how to offload parts of it first. Community beats mandates. An internal Slack channel where employees post what they have built drove more AI adoption at Asymbl than any structured program. Governance is a present problem, not a future one. Skills Lauren built got locked down. Her Claude-Slack integration went offline. She learned directly that over-reliance on AI systems carries real operational risk and that mitigation strategies need to exist before something breaks - because it will.

In this episode of The Marketing Front Lines, we speak with Alex Yakubov, VP of Marketing at Terra Security, a continuous offensive security company that maps and tests an attack surface spanning websites, AI systems, cloud, and networks. Yakubov explains why cybersecurity marketing is in complete flux, how Terra rebuilt its brand around terrain and earth imagery instead of the shields and AI-star visuals the category defaults to, and how she is rethinking demand gen, event strategy, and the marketing-sales relationship in a market where old playbooks stop working almost as fast as they start.Topics Discussed:The state of cybersecurity marketing amid constant AI-driven changeWhy Terra Security rebranded around terrain and earth imagery instead of shieldsRethinking demand gen around experience rather than volumeComparing the ROI of a trade show booth against an off-floor activationStructuring a healthy relationship between sales and marketingLessons For Cybersecurity Marketers:Design your brand around your actual differentiation, not category convention: Terra moved away from the shields and AI-star visuals that dominate cybersecurity branding and built its identity around terrain instead, mapping directly to a product built on an attack surface that never stops shifting. "Every grain of sand is a part of your attack surface." The rebrand also avoided fear-based imagery, using clean landscape photography to convey scale without leaning on FUD.Treat demand gen as an experience problem before a volume problem: Yakubov is wary of outsourced vendors that scrape or buy contact lists without a real relationship to the person on the other end. Her filter for any vendor or event is the experience it creates for the prospect and whether that experience earns the right to ask for five minutes of conversation. Gated white papers and webinars carry less weight now that buyers get their information from short LinkedIn clips, podcasts, and long-form video instead.Rethink event ROI beyond the size of the booth: For RSA, Terra skipped a show-floor booth and put its budget into an off-floor lunch activation, spending 80,000 dollars total, plus a separate 10,000 dollar CISO dinner co-hosted with an AWS security executive. Yakubov estimates the traditional booth-and-conference route would have cost roughly 150,000 dollars. A packed small booth can read as high demand, while a large booth with few visitors signals the opposite.Define sales and marketing roles like positions on a baseball field: Yakubov describes marketing, sales, and SDR functions as different positions that need to respect what the others can and cannot see. "I can't have the outfielder trying to play catcher." She keeps SDR functions reporting into sales rather than marketing, arguing the bandwidth required to manage SDRs properly belongs with sales leadership while marketing stays close on enablement and messaging. She frames the real competition in cybersecurity as the adversaries the industry defends against, not the other vendors in the space.—Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co—Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of Marketers of Technology, we speak with Sançar Sahin, Cofounder & CMO of readywhen. Readywhen acts as a chief of staff for small business owners: it connects to their tools, tracks commitments, and pushes back on priorities the way a senior employee would. Sançar's team assumed readywhen would sell to the same venture-backed ICP as his other company, Oli, but beta signups revealed a different buyer entirely: solo operators and small teams built around a single craft, from event planners to plumbers. That mismatch forced a rebuild of positioning, acquisition, and the answer to the objection every AI product now faces: why not just use Claude or ChatGPT?Topics Discussed:Finding your real ICP from behavioral signup patterns instead of firmographics Reframing the "why not just use Claude" objection as a category argument Building product defensibility through domain-specific modeling, not just retrieval Using expensive acquisition channels to buy branded search lift Positioning a vertical AI as judgment, not just automationLessons For B2B Marketers:Segment signups by behavior, not firmographics, to find your real ICP: readywhen's team expected the same venture-backed ICP as Oli. Beta data showed 99% of signups coming from one to five person businesses instead, sharing no industry but one trait: each was built around a single craft, whether events, plumbing, or stargazing tours. The lesson isn't "check your data." It's segmenting by what people do with the product, not who they are on paper, once your assumed ICP stops converting.Reframe "why not just use Claude" as a category argument, not a feature fight: rather than listing features Claude lacks, readywhen positions horizontal AI as a team of capable interns that execute instructions well but don't own outcomes, and itself as the senior hire that has an opinion about what happens next. That's a category claim, not a comparison chart, and it sidesteps a fight readywhen can't win on raw model capability.Prove the category difference with a paired scenario, not a claim: Sançar's billboard example is the clearest sales asset in the episode. Ask a horizontal AI to brainstorm a billboard campaign and it generates ideas. Ask readywhen and it surfaces three unanswered high-value inquiries and a client satisfaction trend first. Building one paired scenario like this does more convincing than any positioning deck, because it's falsifiable and specific.Build defensibility through a model of "what matters," not a bigger retrieval layer: readywhen's product lead is a computational neuroscientist, and the team built what Sançar calls a knowledge graph of a business: which commitments are load-bearing versus offhand, who a founder leans in or out with, tone of voice by context. That's a harder moat than connecting to more tools, because retrieval over Slack and Gmail answers "what happened" without judging "what matters."Treat expensive CPA channels as a branded-search bet, not a failed test: a month of LinkedIn influencer spend produced a higher cost per signup than other channels, but also a measurable lift in branded organic search. Readywhen counted that lift as the real return, since it's a harder metric to fake than signup volume and compounds after the campaign ends.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM//

In this episode of Marketers of Technology, we speak with Sharif Ismail, Vice President of Marketing and GTM Strategy at Spread AI, a Berlin based Series B company building AI native product lifecycle management software for automotive, aerospace, and defense. Sharif spent four years as an electrical engineer, then five years in product marketing at semiconductor equipment maker KLA, before joining Spread AI, where a single customer program can carry twenty to forty thousand tracked requirements. He breaks down field GTM when your buyer universe fits on two hands, the rule he repeats most about never taking a customer request at face value, and why he treats product marketing as earning Oracle status with both sides.Topics discussed:Why technical fluency compresses the cycle in requirements-heavy industriesRunning field GTM when your buyer universe is a handful of companies Where marketing, sales, and business development stop being separate The mechanics behind never doing exactly what a customer asks for Becoming the Oracle that product and customer both trust on the spotLessons for B2B marketers:Technical fluency only pays off where complexity is the actual bottleneck. At Spread AI, a single program can run twenty to forty thousand requirements across engineering, manufacturing, and regulatory teams. In that setting, a marketer who understands the product as well as an engineer can answer a customer on the spot instead of "having to involve three, four, five people." That is the specific condition under which technical depth becomes a GTM advantage, not a rule for every category.Map the room before you walk in, then commit to one person. Sharif's rule is to "focus ideally only one person in the room," usually the most senior stakeholder present, rather than spreading attention evenly. He avoids naming competitors directly in the room while still tracking exactly what system the customer already runs, so credibility comes from fluency, not direct comparison.In concentrated markets, relationship density beats acquisition scale. At KLA, semiconductor equipment had roughly ten to fifteen buyers worldwide, including TSMC, Samsung, and Micron, so "you can count your customers at two hands." At that scale, marketing's job shifts from lead generation to sitting in the room for product feedback, while sales runs the close on a separate, shorter timeline.Never say yes on the spot, and never say no on the spot either. Sharif's standing advice to junior marketers: do not do what the customer tells you to do, do what the customer actually wants. That means going back to the team, weighing three or four alternatives, and returning a day later with a specific counter-proposal. Done well, he says this gets you "credibility boosted by a factor two to three" versus simply agreeing on the spot.Earn Oracle status, it is not a title you are given. Product marketing sits between product and market, answering the customer's question on the spot and the product team's question about the customer without looping back to research it. Sharif is explicit this only comes after four to six months of direct customer contact and heavy personal use of the product, not a briefing document.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM//

In this episode of Marketers of Technology, we speak with Brett Li, Head of Marketing at Crossmint, a developer platform that lets fintechs, neo banks, and remittance providers deploy stablecoin rails through one API instead of assembling on-ramps, wallets, orchestration, and off-ramps themselves. Brett breaks down how Crossmint powers MoneyGram's US to Colombia remittance corridor, why MiCA licensing is shaping its market sequence, and how his thinking on category creation has reversed.Topics Discussed: The on-ramp, wallet, orchestration, off-ramp stack Crossmint consolidates into one APIPowering MoneyGram's US to Colombia corridor with a wallet that fully abstracts the stablecoinCard tokenization for consumer-facing agent payments versus stablecoins for agent-to-agent paymentsMiCA licensing and founder geography dictating an EU, Latam, US, Africa, Asia expansion sequenceCompeting against Stripe's portfolio approach versus point solutions in wallets and on-rampsReversing a career-long belief in manufacturing new market categoriesLessons for B2B fintech marketers:Abstract the mechanism, not just the friction. Crossmint's MoneyGram deployment lets a person in the US send dollars that land as pesos in a relative's Colombia account, on-ramped, wallet-held, off-ramped, without either party seeing a stablecoin at any point. The takeaway isn't "simplify the UX," it's that the message and the architecture are the same decision: every layer of the stack is a point where you choose to expose or hide the rail, and each choice is positioning, not just engineering.Let regulatory scarcity set your GTM sequence. Crossmint is one of a small number of MiCA-licensed providers in the EU, which is why Europe leads its rollout order, ahead of Latam, the US, Africa, and Asia. Once stablecoins move into money movement, they also fall under adjacent frameworks like PSD2. Licensing status isn't a compliance footnote, it's a scarcity-based moat that should determine which markets you lead with, since unlicensed competitors can't follow you in on the same timeline.Split your agent-payment thesis into two rails. Consumer-facing agents, like an AI shopping assistant buying on a person's behalf, route through card networks already tokenizing cards for agent use. Agent-to-agent and service-level payments, high-frequency, low-value, real-time, are where stablecoins fit. If you're marketing in agentic commerce, this is the segmentation logic to use, not "agents will use crypto" as a blanket claim.Retire the acronym-first playbook. Brett described an almost complete reversal from earlier roles, where the default move was inventing a category term and pushing the market to adopt it. His current position: ground messaging in language customers already use, rather than manufacturing vocabulary you then have to spend budget teaching the market.Know when your job shifts from persuasion to proof. Brett was direct that Crossmint isn't trying to convince the market stablecoins are worth exploring, since demand already exists. Marketing's job at this stage moves to demonstrating product quality well enough that one customer's results bring the next ten, and those ten bring the next hundred, a flywheel that only works once persuasion stops being the bottleneck.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co //Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM// 

In this episode of Marketers of Technology, we speak with Taylor Bornstein, Content Director at Bolt.new. Bolt.new is a prompt coding platform built on StackBlitz's WebContainers, which turns any browser into a full IDE running on local compute. The company launched with a tweet in October 2024 and went from nearly shuttering StackBlitz to $20 million in ARR in two months. Taylor joined as the fourth marketer in March and the team is now ten. She sells into two audiences with opposite clock speeds: enterprises deciding where AI build tooling belongs in a governed SDLC, and founders and domain consultants who clear no procurement gate at all.Topics Discussed:Defining Bolt.new as the sandbox enterprises ship from rather than a frontier model competitor Pricing against procurement latency instead of arguing against Shadow AI Using constrained product scope as a token budget control for enterprise buyers Sourcing displacement narratives from domain consultants rather than logo customers Running the Sorry, SaaS billboard in New York City and the blog that anchored it Expanding the PR spokesperson bench beyond a player-coach CEOLessons for B2B Tech Marketers:Frame Constrained Scope as Token Budget Control: Bolt.new's enterprise case rests on what the product cannot do. Taylor's example is a 300,000-person company issuing a general-purpose assistant to everyone, where real consumption goes to calendar triage, skincare questions and why the dog ate something. Bolt.new only builds apps, websites and slides, which she describes as herding token spend toward the work being paid for. Where token burn has become a budget line, narrow surface area is the pricing argument.Answer the Frontier Model Objection With Workflow Position: Buyers already running Claude and Codex asked why they needed another tool. Taylor's line is "it's the sandbox you ship from." The proof is deliberate non-lock-in: output stays usable outside the Bolt.new environment and teams push through the CLI from Cursor or Claude Code, on the reasoning that trapping enterprise buyers in a proprietary IDE serves neither party.Price Against Procurement Latency, Not Shadow AI: Taylor does not argue that employees should stop buying their own tools. Approval to edit a PDF can take three to four months at a large company, so people spend $20 to $25 of their own money to fix what irritates them daily. The pitch is that this happens either way and ungoverned adoption is the version that opens the org to vulnerabilities.Source Displacement Stories From Domain Consultants, Not Logos: Taylor's strongest proof point is a trucking solutions architect who customized the EDI-based integration software the industry runs on, where connecting APIs ran an extra $15,000 to $25,000 billed to his clients. He now sells his own suite, ten customers in a little over a year. Pair a Provocative Brand Asset With the Argument That Defends It: The Sorry, SaaS billboard came out of a May offsite, borrowing SaaS apocalypse language already in the press. Taylor drafted a paragraph and the designer cut it to two words. It went up in New York City and moved on Twitter. She published The Four Horsemen of the SaaS Apocalypse alongside it, which matters because the billboard overstates her actual position. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM //

In this episode of Marketers of Technology, we speak with Kevin Allen, Head of Marketing at ValidMind, an AI governance platform built for banks, insurers, and other regulated financial institutions. Kevin explains why ValidMind killed a working AI SDR program, how a regulation-specific campaign shipped in a single afternoon using AI coding tools, and why his team is staffed with people who sat on the buyer's side of the table before writing a line of marketing copy.Topics Discussed: Recruiting marketing hires from the buyer's own industry for instant credibility Killing a working AI SDR program over brand risk, not ROI Rebuilding pipeline around narrow account lists and owned events after abandoning automation Compressing a regulation-specific campaign from a multi-month build to a single afternoon Setting a personal sniff test for catching AI-generated copy before it ships Staffing a three-person marketing team for range over specializationLessons For B2B Tech Marketers:Recruit from your buyer's own former employers. ValidMind's bench includes former JPMorgan Chase, PayPal, American Express, and Discover employees. In a regulated vertical where buyers spot marketing speak instantly, this is a credibility unlock.Kill a working channel over brand risk, not ROI. ValidMind's AI SDR program found enough pipeline to justify the spend, but Kevin shut it down anyway: "there was more risk to the brand by putting out something that we didn't feel 100% behind." Most teams only kill channels that underperform. Treating brand exposure as its own kill criterion, separate from pipeline math, is the sharper filter.When automation fails, go narrower and physical, not broader. ValidMind rebuilt around accounts most likely to close within 12 months, then created or sponsored events to reach those named accounts in person. Kevin's framing: "the most effective way for us to market our product is for us to get in front of people, physically in front of people, shake their hand, look them in the eye and talk about it."Build the readiness-assessment-to-scored-quiz funnel yourself, on regulation day. When Canada's E23 regulation hit, Kevin used AI coding tools to build a readiness assessment, checklist, and scored quiz with a CTA to talk strategy, released sequentially as the "E23 bulletin." At IBM, the same asset needed a roughly five-day sell-through, a two-week engineering commitment, and two to three weeks of content work. Kevin built and tested the full sequence in one afternoon: regulation-driven campaigns can now ship inside the same news cycle that creates buyer urgency.Draw a hard line between AI-draftable copy and copy that needs your hand. Press releases and formulaic copy get an AI first draft, edited into brand voice. Technical blogs and product docs don't. His filter for catching AI output before it ships: spot reflexive not-this-but-that hedging, then cut it.Staff a lean team for range, not narrow specialists. With one product marketer, one integrated marketing specialist, and a fractional CMO as sounding board, ValidMind can't afford someone who only does SEO or only demand gen. At this headcount, cross-functional range is structural, not philosophy.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM//

In this episode of Marketers of Technology, we speak with Shoshana Browne, Director of Marketing and Strategic Operations at enSights, a B2B SaaS platform helping solar and storage asset owners manage distributed energy portfolios as revenue-generating businesses. Running enSights marketing as a team of one, Shoshana explains how the company answers the build-it-ourselves objection, rebuilt sales enablement content to move specific funnel stages, and tied content engagement directly to pipeline ahead of a Series B.Topics Discussed: Handling the build-vs-buy objection when prospects consider building on tools like Salesforce and ClaudeReframing product positioning from monitoring software to business management Regulatory and compliance data gaps that cause missed availability guarantees on energy assetsRebuilding sales enablement content to lift conversion at specific funnel stages Connecting LinkedIn engagement data to pipeline attribution through a digital agency partnership Shifting from demand generation to pipeline progression as a long sales cycle maturesLessons For B2B Tech Marketers: Handle the build-it-ourselves objection with cost structure, not defensiveness: when prospects say they will build the equivalent on Salesforce and Claude, enSights doesn't argue the initial build. The differentiator is what happens after: normalizing data across manufacturers with different interfaces, then integrating that layer into ticketing and maintenance workflows, work in-house teams underweight for years.Reposition around the business outcome, not the software category: enSights shifted from monitoring and performance software to business management, treating each energy asset as a revenue-generating business. Missing the regulatory and contract data tied to an asset can mean missing availability guarantees, a prioritization failure, not a technical one. Rebuild sales enablement content as a conversion lever: rebuilding demos and content for sales enablement improved one funnel stage by 11 points and another by 50%. A single rebuild, targeted at a known drop-off point, can outperform broader top-of-funnel spend. Expect differentiation language to get copied within months, and plan around it: after enSights rolled out new positioning, competitors used near-identical language within two months. The team keeps prospect-facing specifics under NDA while building trust through partnerships and thought leadership, since public language alone is not defensible. Attribute pipeline to content, don't just track engagement: working with agency Cleantech Growth Lab, enSights connects LinkedIn engagement into HubSpot to identify which accounts engaged before converting. Roughly 60% of SQLs and booked meetings had engaged with content beforehand, precise enough to reframe conversations with leadership. Shift from demand generation to pipeline progression once the year's bookable revenue is already in-system: with a longer sales cycle, most of what closes this year was already in pipeline by mid-year. Focus shifts to progressing existing deals through intimate formats like roundtables and webinars, worth naming for teams assuming H2 should still be led by top-of-funnel volume. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM //

In this episode of Marketers of Technology, we speak with Elliot King, Vice President of Marketing at Turtl, the AI-first revenue content platform for account-based marketing and B2B revenue teams. Elliot joined a legacy SaaS brand mid-transformation and rebuilt its go-to-market motion with two proprietary frameworks: the Spicy Five for strategic sequencing and the Spicy Box for tactical execution. Results: a 750% pipeline increase, three straight quarters of 75% revenue retention growth, and average deal size moving from under $10K to $180K.Topics Discussed:The Spicy Five framework for sequencing brand transformation and growthWhy AI has lowered the floor on B2B content without raising the ceiling for differentiationThe Spicy Box framework for creative work that cannot be ignoredDiversifying go-to-market motion from inbound-only into ABM, channel and cross-sellBuilding an outcome-based case study library instead of a features-based oneAn anonymized competitor audit that diagnoses category samenessLessons For B2B Marketers:Sequence transformation with a repeatable framework, not instinct. The Spicy Five runs in order: fall in love with the problem, add indisputable value, embrace difference at every level, become known for solving that problem, then scale the revenue engine. Differentiation happens before scale, since a distinct identity makes a diversified GTM motion legible instead of more noise.AI has changed the differentiation math. Elliot's sharpest point: AI hasn't raised the ceiling on B2B content, it's lowered the floor. Anyone can produce competent copy and design now, so "fine" is the new baseline, not an edge. Budget once spent chasing competence should shift toward manufacturing distinctiveness.Diagnose category sameness before designing a brand response. Elliot pulled nine competitor logos, anonymized them, and placed them beside Turtl's own. None were identifiable. If a brand can't survive an anonymized lineup test, no campaign spend builds recall. It's a cheap, repeatable audit worth running before any rebrand.Build differentiation as an operating system, using the Spicy Box: map the status quo, define its opposite, then choose the emotion the audience should feel. Applied to the Glass Slipper campaign at B2B Ignite, EMEA's largest B2B conference, the standard banner-and-notepad booth became the status quo to invert. The resulting activation (fairy godmother costume, custom Crocs, golden throne) mapped directly to the customer pain addressed: intent data purchased but never activated. The spectacle served a named frustration, not attention alone.Replace product metrics with an outcome-based evidence library. Turtl's case studies tie to client business outcomes: a $5.5M pipeline increase and $1M revenue improvement for 8x8, and $1.3M in influenced revenue for OneAdvanced. That evidence is the foundation creative work stands on.

In this episode of Marketers of Technology, we speak with Jessica Maria, CMO of RapidScale. RapidScale is a managed cloud services and professional services provider that advises, consults, and operates as an extension of clients' technical teams across public, private, and hybrid clouds, working primarily with regulated industries and companies carrying significant intellectual property. Since stepping into the CMO role, Jessica has led a brand evolution away from RapidScale's old "we help you navigate the chaos" positioning toward a partner-first identity built on trust, clarity, and humanity, a shift she validated through third-party client research rather than internal assumption. She unpacks how she thinks about brand as market conditioning, where AI belongs and where it never should in the content process, why the old SEO playbook is giving way to writing for AEO and GEO, and where RapidScale is putting its demand-gen dollars for 2026 and beyond.Topics Discussed:Reframing brand as market conditioning rather than a design exercise Evolving RapidScale's positioning from "we manage your complexity" to "we are your partner"Using third-party client research to validate brand claims instead of assuming themSetting hard rules for where AI belongs, and does not belong, in content creationShifting from traditional SEO toward writing for AEO and GEOMatching production value to message so authenticity does not read as performanceInvesting 2026 demand-gen budget in hyperpersonalization and thought leadershipLessons For B2B Tech Marketers:Define Brand as Market Conditioning, Not Design: Jessica pushes back on the idea that brand is logos, colors, or fonts. She defines it as how people think about a company when it is not in the room, and market conditioning as the ongoing work of reinforcing that perception at every touchpoint so a seller walks into what she calls a warm room with a prospect. For marketers still treating brand as a visual identity project, this reframes it as an operational discipline that has to show up consistently across every interaction, not just in a style guide.Let Third-Party Research Validate Your Positioning, Don't Assume It: When RapidScale worked with Cunningham Collective on brand research in 2025, client surveys and questionnaires came back with a consistent, unprompted result: clients called RapidScale their partner, not their vendor or supplier. Jessica treats that finding as the anchor for the entire brand shift, because it came from clients describing the relationship in their own words rather than from an internal brainstorm about what the company wanted to claim. The lesson for marketers is to test brand language against how customers actually talk before building a campaign around it.Draw a Hard Line on What AI Can and Cannot Touch: Jessica's rule is direct: if a company uses AI to find its point of view, it has already failed, because prospects can run that same search themselves in seconds. Where she does deploy AI is in understanding a market segment's pain points at depth, and in market or competitive intelligence, work that informs the point of view without generating it. The point of view itself, and the founder-facing content built on it, stays human.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of Marketers of Technology, we speak with Betsy McKibbin, Head of Marketing at Yoodli, an AI roleplay and coaching platform that helps revenue teams practice and scale conversations. Betsy explains how she turned Yoodli's own product into her team's internal enablement engine, building an AI version of herself that pushes new releases straight into a practice session instead of a written brief. She also breaks down the guerrilla marketing behind Yoodli's recent growth, the line she draws on what marketing owns as every function generates its own content with AI, and why she treats AI roleplay as a category that has to be sold before the product can be.Topics Discussed:Building an internal AI persona that turns release notes into a live practice sessionWhy agent workflows fail when they just add another summarization layerExpanding AI roleplay from sales enablement into retail, healthcare, legal, and financeScaling training consistency for teams from a handful of reps to 50,000 and upDrawing a hard boundary on what marketing owns as AI content generation spreads org-wideEducating a market on a category with no existing buying playbookLessons For B2B Tech Marketers:Collapse the release-to-practice gap instead of writing another brief: Betsy's team built Betsy AI, a persona inside Yoodli that scans Asana, Slack, and GitHub for what shipped, then delivers it to reps as a live roleplay they can immediately practice. The old cadence was a periodic brief handed to sales. The new cadence has to be constant, since releases ship daily and reps who last practiced last week are already behind. The shift is not the AI summary. It is that the update and the practice happen in one session, with no handoff between them.Kill the agent chain before it multiplies your content problem: Betsy's first version had agents generating a weekly report, which then got fed into other people's agents for further summarizing, adding a layer of content without closing any gap. She got value once she stopped optimizing for more content and used AI to compress the distance between a release shipping and a rep being able to speak to it correctly.Build enablement as an expanding funnel, not a one-time rollout: internal enablement was the first problem Yoodli solved. The next target is extending that instant-update-plus-practice loop to resellers and partners, and eventually customers, treating enablement as a distribution channel rather than a training checkbox.Move faster than your approval chain when news creates a free window: when a national broadcast crew set up two blocks from Yoodli's office, a marketer on the job two weeks grabbed a cardboard sign and got the company name into a live shot with no planning cycle. The lesson is not newsjacking. It is that the marketer had standing authority to act without sign-off, and speed turned a coincidence into a real spike in site visitors.Sell the category before you sell the platform: AI roleplay has no established evaluation process the way HR tech or project management software does, so Yoodli built resources to help buyers navigate the category itself. The bet is that earning trust as the guide to an unfamiliar space converts better long-term than leading with product features.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co //Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of Marketers of Technology, we speak with Leah Clark, Vice President of Marketing at Arize AI, an AI observability and evals platform for teams shipping agents and LLM applications. Leah breaks down how she measures offline channels with the same rigor as digital, why technical fluency is a marketing requirement rather than a nice to have, and how AI has compressed the marketing ops feedback loop from weeks to seconds.Topics Discussed:Why brand differentiation has to live outside the product roadmapMeasuring billboard and offline lift with the same rigor as a digital campaignSegmenting a business spanning open source downloads to Fortune 500 contractsWhy marketers should be as technically fluent as the engineers they supportHow AI tooling has changed the marketing ops feedback loopWhat career flexibility signals when you're hiring marketersLessons For B2B Tech Marketers:Root Differentiation in Founder DNA, Not the Roadmap: Arize's technical co-founders are obsessive about education and bringing non-experts along, and Leah built brand principles around that trait rather than features, since competitors eventually close any feature gap. When a market moves fast, resist mirroring competitor launches — audit what's true about your founders that competitors structurally cannot copy.Sell the Outcome, Not the Eval Dashboard: A former manager's line stuck with Leah: you don't sell car parts, you sell the car. Applied to observability, that means leading with the confidence to ship agents without silent failure, not the tracing features themselves — because the feature set is a moving target and the underlying problem is not.Segment by Usage Depth, Not Logo Size: Phoenix, Arize's open source layer, has millions of downloads and doubles as an acquisition channel, feeding a consumption-priced SaaS motion from small teams to Fortune 500s. Expansion revenue inside an account is a more useful north star than net new logos when pricing rewards usage growth.Make Product Fluency a Requirement, Not a Perk: Arize's co-founder and CEO personally onboarded Leah on the product early on, since marketing cannot position what it does not understand. Push for direct engineering access before accepting a technical marketing role, not after.Measure Offline Like Any Paid Channel: Arize ran billboards in San Francisco and New York and validated them by comparing homepage traffic, signups, and search volume in-market before and after launch — the same test-and-control logic you'd apply to paid social. Treat offline as testable, not a brand exercise you take on faith.AI Has Compressed the Ops Feedback Loop: Getting a data pull used to mean a multi week wait on data or marketing ops. Leah now queries an AI tool wired directly into Arize's analytics stack and gets the answer immediately — changing how fast a team can test and iterate on messaging.What "Has Tried Everything" Signals in a Hire: When a mid or senior candidate names a function they tried and ruled out — events, PMM, whatever it is — Leah reads that as self-awareness and range, not indecision. Worth borrowing as an interview probe: ask what they tried and ruled out, not just what they're good at.//Sponsors:Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership.www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.www.GlobalTalent.co//Don't Miss: New Podcast Series — How I HireSenior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of Marketers of Technology, we speak with Wolfram Wege, Chief Marketing Officer at OpenTAS, and Grant Price, Head of Narrative at Brandigans. OpenTAS builds digitalized business process solutions for the midstream to downstream supply chain of energy and chemicals, and its newest terminal management platform needed a category of its own in a market crowded with legacy systems. Wolfram and Grant walk through how a rebrand built around the slogan "complexity removed" let OpenTAS step away from the language of incremental software updates and instead pitch a wholesale replacement for the patchwork of tools terminal operators had stacked on top of each other for decades. From a board pitch modeled on Apple's 1984 ad to a print campaign built around a single flower breaking through concrete, they detail how a technical, orthodox industry responded to a marketing approach built on vision rather than feature lists.Topics Discussed:Defining a new category inside a saturated terminal management marketBuilding a rebrand around one bold slogan instead of a features listUsing the Apple 1984 ad as a framing device to pitch a risky rebrand to the boardDistilling four customer value propositions from original industry researchTranslating a technical product into a cinematic visual campaignPresenting the new brand at industry expos in Rotterdam and the US Sustaining a creative partnership that has lasted over two decadesLessons For B2B Tech Marketers:Define a Category Instead of Competing on Features: Rather than positioning against other terminal management solutions on functionality, OpenTAS created a new category, terminal management platform, built around removing legacy systems entirely instead of adding another one on top. The internal framing was a Gordian knot that could only be resolved by cutting it, not untangling it piece by piece.Hold the Line on Bold Language: When OpenTAS's product team suggested softening the slogan "complexity removed" to "complexity managed," Wolfram pushed back because the softer version stripped out the conviction that made the message land. Bold positioning loses its power the moment it gets hedged into safety.Borrow a Cultural Reference to De-Risk an Internal Pitch: Before presenting the new rebrand to the board, Wolfram opened with Apple's 1984 ad to prime the room for a disruptive move. Referencing a familiar, high-stakes creative risk made the board more receptive to taking one of their own.Ground the Creative Vision in Original Research: The four value propositions used across the entire campaign (including efficiency, simplicity, time saved, and security) came directly from a research paper identifying the most vulnerable pain points for terminal operators, not from an internal brainstorm. The research gave the creative team a defensible foundation before a single asset was built.Build a Visual Metaphor Strong Enough to Carry the Category: The campaign visualized the old, fragmented system as a disconnected high-rise building and the new platform as a single gold surface everything else sits on. That same contrast, plus a print ad built around a flower breaking through concrete, gave a traditionally dull industry something worth stopping to look at.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with Sarah Monette, Head of Marketing at Cosine, a UK-based AI coding agent built for highly regulated industries. Sarah joined Cosine three and a half months ago after stints at NetSuite, Nexthink, and Vertice, and walked in as a generalist marketer with zero ML background — now running all marketing functions at a 30-person, five-days-a-week in-office company. The conversation covers how she's building credibility in a space dominated by Anthropic and OpenAI, why in-person dinners are her highest-ROI channel in the age of AI-generated everything, and how she built a "GTM brain" that feeds her weekly strategic direction.Topics Discussed:Building trust at a deep-tech AI startup selling into defense and healthcareHow UK AI sovereignty became Cosine's category-defining narrativeLanding a UK government sovereign AI grant — and what the process actually looked likeWhy partnerships, not outbound, are the primary GTM motion for regulated enterpriseThe "Built for Engineers with Taste" campaign and the strategic value of divisive messagingRunning channel experiments across X, LinkedIn, and Reddit to find where enterprise buyers actually liveHow a developer-led head of growth uses unbranded micro-experiments to validate products before launchBuilding and operating a GTM brain: a running AI system fed weekly with news, product updates, and customer signalsUsing Cosine itself to audit the website, evaluate click paths, and rewrite marketing narrativeLessons For B2B Tech Marketers:Use Partnership-Led Trust to Break Into Regulated Enterprise When you're selling into defense or healthcare, you're not winning deals with content or cold outreach. Sarah's primary GTM motion at Cosine is building one or two deep partner relationships with consultancies or government-adjacent organizations that already hold the trust of her target accounts. Those partners then co-host dinners and facilitate warm introductions. The trust is transferred, not manufactured from scratch. The unlock was recognizing that the partner's credibility is the product in early enterprise sales.Turn a Macro Narrative Into a GTM Wedge Cosine operates at the intersection of AI sovereignty, UK national infrastructure, and regulated software engineering. When the US government restricted access to Fable 5, that geopolitical moment validated Cosine's entire positioning. Sarah didn't create that narrative — she made sure Cosine was already there when it mattered. The takeaway: identify the macro forces your product is aligned with and stay close to those conversations so you can move fast when the moment breaks.Run Divisive Campaigns on Purpose The first campaign Sarah ran at Cosine was "Built for Engineers with Taste" — messaging explicitly designed not to appeal to everyone. It was built around who the product is not for (including herself), which made it land harder with the people it was made for. As she put it: "If you're trying to please everyone, you're going to please no one." For early-stage B2B products with a narrow ICP, the cost of vague, inclusive messaging is invisibility. The cost of specific, polarizing messaging is just a smaller audience that converts at a higher rate.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with Mahesh Babu, CMO of Kodem. Kodem was founded by former members of the NSO Group, the team behind Pegasus, the first exploit ever used to hack the iPhone, and the company has built its entire go-to-market motion around that origin story without ever being able to say so publicly. In a security market crowded with venture-backed startups all fighting for the same ASPM budget, Mahesh built a three-pillar marketing framework, engineered a "backroom briefing" model to control exactly where and how the founder story gets told, and made a deliberate call to anchor the company to an incumbent category instead of trying to create a new one. This conversation is a masterclass in founder-led marketing under real constraints: how to sell trust instead of product, how to turn a story you can't publish into your best top-of-funnel asset, and how to hire for domain expertise over functional pedigree when the old marketing and sales playbooks stop working.Topics Discussed:Why security is a trust sale, not a product sale, and what that means for positioningBuilding a founder story around Kodem's Pegasus/NSO Group origins that can't be told on the websiteUsing invite-only "backroom briefings" to control where a polarizing story gets sharedThe three-pillar marketing framework: known team, trusted intelligence, educated prospectsWhy Kodem refused to brand itself ASPM despite 18 competitors racing into the categoryAnchoring to an incumbent category (code scanners) instead of paying to create a new oneThe "attack chaining" insight from Pegasus that became Kodem's core product narrativeHiring SDRs and product marketers with domain expertise instead of traditional marketing backgroundsLessons For Security Marketers:Treat a Polarizing Story as a Controlled Asset, Not a Liability. Kodem's founders built Pegasus, the exploit behind the first iPhone hack, a story with real reputational risk. Rather than avoid it or overexpose it, Mahesh drew a hard line between what appears publicly (nothing) and what gets shared once a prospect is in the room. That constraint became a feature: the mystery pulls people into events, and the story only fully lands face to face, which drives Kodem's entire events and outbound strategy.Build a Three-Pillar Framework Instead of Chasing Tactics. Kodem's marketing runs on three pillars: known team and trusted intelligence for top-of-funnel credibility, educated prospects and evangelist customers to shorten sales conversations, and repeat sales by non-experts as the ultimate test of product-market fit. Mahesh uses that last pillar as a literal metric, when the sales team closes deals without him or the founders on the call, that is proof the market message is fully baked.Anchor to an Incumbent Category Instead of Paying to Create One. With roughly 18 competitors all raising capital and calling themselves ASPM at the same time, Mahesh made the call to reject the buzzword entirely. Kodem anchors its pitch to code scanners and SCA/SAST, the tools prospects already own and understand, then uses the demo to show what those incumbent tools miss. Category creation was a deliberate line item Mahesh chose not to fund, treating a defined market as a distribution shortcut rather than a compromise.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of Marketers of Technology, we speak with Jordan Gadapee, Chief Marketing Officer at Vida Global, an AI agent platform that enables medium-to-enterprise-scale businesses to white-label and resell AI agents to their own customers. Jordan brings a brand-first background rooted in graphic design and Silicon Valley startups, and shares how Vida Global navigates one of the hardest challenges in B2B tech marketing right now: cutting through AI noise to actually educate buyers and drive qualified pipeline.Topics Discussed:Marketing an AI product in a category where every competitor claims to do the same thingWhy Vida Global leads with problems, not product featuresHow ABM content strategy drives pipeline in highly specialized verticals like telecomThe consultative sales model and why a 45-minute discovery interview is core to Vida Global's GTMBeing LLM-agnostic as both a product strategy and a marketing differentiatorWhy the "crawl, walk, run" deployment philosophy reduces churn and builds trustLessons For B2B Tech Marketers:Lead with the problem, not the product. In a market where every AI vendor claims to be the most powerful, most flexible, or cheapest option, Vida Global's marketing anchors on specific pain points — missed calls after hours, costly lead falloff, operational bottlenecks — and positions the AI agent as the solution. The goal is to make a prospective buyer say "that's happening to me" before they ever ask what Vida Global actually does.Content strategy as a vertical education engine. Rather than broad awareness plays, Vida Global builds content specifically for the verticals they serve — telecom being the clearest example. Jordan and two of Vida Global's co-founders came out of the telephony and messaging space, which gives them deep credibility. Their content strategy exploits that credibility gap: telcos understand copper, VoIP, and telecom compliance, but don't know where to start with AI. Vida Global creates content that fills exactly that gap — PDF guides, web interactives, short-form video — all oriented around education rather than conversion.Use a consultative intake process as a marketing asset. Vida Global's 45-minute discovery interview — used to assess how AI should be deployed for each customer — isn't just a sales qualification step. It's also a positioning tool. By building a rigorous intake process, Vida Global signals expertise and filters for customers who are serious about implementation. This reduces bad-fit deals while raising perceived value.LLM-agnosticism as a durable differentiator. In a market where model capabilities shift every few weeks, Vida Global made the deliberate product decision to be model-agnostic — customers can switch between OpenAI, Anthropic, Gemini, and others at the click of a button. The pitch isn't which model is best right now; it's about having the right AI for the right task and managing costs accordingly.The "crawl, walk, run" framing reduces buyer fear and accelerates deals. Vida Global addresses deployment risk directly in their messaging and sales process: start with low-hanging fruit, prove the value in weeks not months, then scale. This framing creates a natural expansion motion and a proof-of-concept step that shortens time-to-close.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of Marketers of Technology, we speak with Ishita Jaiswal, Head of Growth at Multimodal, an AI platform helping credit unions and community banks automate their core lending workflows. Selling AI into one of the most regulated, trust-sensitive verticals in existence forced Ishita to throw out most of the B2B SaaS marketing playbook and build something entirely different — a motion grounded in original research, institutional partnerships, and compounding trust rather than product-led growth or demand gen tactics. The result: a content and partnership engine that turned a quarterly research report into a pipeline of 17–18 live credit union trials, multi-year contracts that clients initiated, and a brand now recognized as the go-to AI vendor for community financial institutions.Topics Discussed:Why most B2B SaaS and AI marketing advice is useless in regulated industriesHow a quarterly research report opened the door to the largest credit union think tank in the USThe ICP focus pivot that tightened Multimodal's marketing and accelerated pipeline resultsBuilding trust through thought leadership, think tank partnerships, and original research publicationThe cultural and relationship dynamics of selling AI internationally to financial institutionsWhy riding the AI hype cycle is a dead end for most marketing leadersLessons for B2B Tech Marketers:Let Research Double as a Sales Funnel. Multimodal published a quarterly report on the state of agentic AI in credit unions and, as part of the research process, interviewed the incubation director at Filene Research Institute — the largest credit union think tank in the US. That outreach led to a formal proof-of-value program, which in turn gave them access to roughly two dozen credit unions trialing their platform live. The lesson: original research isn't just content. In trust-driven markets, it's a relationship-opening mechanism that no cold outreach can replicate.Narrow Your ICP Before Your Marketing Breaks You. For the first year-plus, Multimodal tried to market across all of financial services — investment banks, community banks, fintechs, insurance. Ishita is blunt about what happened: it weakened everything. When they made the deliberate decision to focus exclusively on credit unions and smaller community banks serving 144 million Americans, their messaging tightened immediately and they started seeing compounding results within two to three months — fast by enterprise standards in this space.Build Trust Infrastructure, Not Just Content. In financial services, trust isn't a brand attribute — it's a sales prerequisite. Multimodal built what Ishita describes as a "trust infrastructure": publishing original research, partnering with think tanks, running their own podcast to surface customer problems, and keeping security and compliance permanently front-of-mind in all communications. They also proactively own any incidents when they occur rather than minimizing them. This approach signals to compliance teams, CROs, and CFOs that Multimodal is a partner, not a vendor.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50–70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of Marketers of Technology, we speak with Trevor Lynn, Head of Marketing at Roboflow, a computer vision platform that gives developers and enterprises the tools to build visual AI on top of images, video, and camera streams. With over a million developers and 16,000 organizations on the platform, Roboflow sits at a unique intersection of infrastructure and application — and Trevor has been navigating the marketing challenge of making a technical, category-defining product legible in the noisiest AI environment in history.Topics Discussed:Marketing a technical, category-defining product in a crowded AI landscapeWinning mindshare when every enterprise can only absorb so many AI tools at onceUsing AI to synthesize hundreds of sales calls weekly for real-time messaging intelligenceBuilding a free tier strategy that converts developers into enterprise customersHow the physical world — not the screen — represents the largest untapped AI opportunityLessons For B2B Tech Marketers:Treat Every Sales Call as a Marketing Intelligence Asset. Roboflow's marketing team pipes hundreds of weekly sales call recordings through AI to surface messaging gaps, recurring objections, and competitive signals — not just for the sales team, but to act on within the same week. Trevor's frame: if your AI isn't connected to your sales motion, you're analyzing last quarter's data to make next quarter's decisions. Real-time market intelligence requires real-time synthesis, and that's now table stakes.The Free Tier Is Your Most Powerful Marketing Channel. With over 11,000 published research papers using Roboflow — because researchers could access the platform without a credit card — the free tier has seeded a global developer community that no paid campaign could replicate. Trevor is direct about the advantage: letting the product speak for itself before forcing a sales conversation is a competitive edge most enterprise marketing teams don't have. If your product has a usage-based free tier, building the entire top-of-funnel strategy around it is the right call.Build AI Infrastructure for Your Marketing Org Before You Build Campaigns. Trevor's primary piece of advice to other marketing leaders is to stop using AI as a content shortcut and start treating it as a strategic operating system. That means uploading your board-level marketing plan, your company vision, your metrics cadence, and feeding all of it into your LLM of choice — so that every initiative you touch gets evaluated against actual strategic priorities. The payoff: a weekly, unbiased audit of whether your team is executing on strategy or just fighting fires.Mindshare Is the Real Competition in Enterprise AI. Roboflow doesn't have many direct product competitors in computer vision, but Trevor frames the competitive landscape differently: every AI vendor is competing for the same enterprise budget cycle, the same internal champion, and the same organizational bandwidth to adopt something new. The marketing job isn't just explaining what you do — it's making the case that your tool deserves to be the one that gets implemented this quarter. That framing changes how you write content, sequence conversations, and build urgency.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of Marketers of Technology, we speak with Kim Pendergrass, VP of Marketing at Earlytrade, an early payment negotiation platform built for the US construction industry. Earlytrade operates as a two-sided marketplace connecting general contractors and subcontractors, enabling them to negotiate accelerated payment discounts at scale — addressing a systemic problem where subcontractors routinely wait 90 to 120 days for payment. Kim joined as the company's first-in marketing leader during its US expansion and has since led the team through a 7x growth in US footprint, a $25 million Series A close, and the early stages of building brand recognition in a niche, relationship-driven market.Topics Discussed:Marketing in a "paid when paid" industry with 90–120 day payment cyclesHow to position a vitamin product in a market dominated by painkiller urgencyBuilding brand awareness with a total addressable market of ~3,000 accountsWhy direct mail — not email or cold calls — is outperforming digital outreach in constructionStructuring a two-person marketing team to cover a full go-to-market motionHow Earlytrade vets and scales ERP partnerships with Trimble and SageBudgeting frameworks when every dollar must tie to revenue impactLessons For B2B Tech Marketers:Know Your Product's Category — and Market Accordingly. Kim uses a framework of painkiller, vitamin, or candy to anchor every strategic decision. Earlytrade is a vitamin: it makes businesses better, but nobody will stop operating without it. That classification shapes everything — it explains why inbound doesn't work ("nobody is Googling early payments in construction"), why category education is the primary job, and why the sales cycle requires repeated touchpoints before a prospect is ready to engage.Run Repeated Direct Mail Cadences to Cut Through Inbox Noise. With a known universe of roughly 3,000 target accounts, Earlytrade doesn't treat direct mail as a one-shot campaign. They run weekly sends on a rolling cadence so that by the time an SDR connects, the prospect already has context — "are you guys the ones sending me something on my desk every week? Are you the ones who sent the gumball machine?" That ambient presence dramatically lowers the cold-call barrier. The key insight: consistency matters more than creativity in the actual mailer.Resist Hyper-Personalization — It Reads as Creepy. In ABM at this scale, the temptation is to over-personalize. Kim draws a hard line: referencing a throwaway comment someone made four years ago on social media is not personalization, it's surveillance. The goal is to be recognizable and consistent, not intimate. This keeps the brand feeling trustworthy rather than intrusive when the sales team eventually makes contact.Validate Partnerships Against Joint Customers First. Earlytrade has strong ERP partnerships with Trimble and Sage — but those relationships didn't start with deep integrations. The first question Kim asks before investing in any partnership: do we already have joint customers, and are they asking for this? If the answer is yes, you layer in co-marketing and sales support. If the integration proves out, then you invest in engineering. Skipping that sequence is how companies sink resources into partnerships that never convert.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of Marketers of Technology, we speak with Thomas (Tom) Butta, Chief Commercial and Marketing Officer at Quantum XChange, a company building post-quantum cryptographic protection for the networks that carry the world's most sensitive data in motion. With presidential executive orders on quantum computing dropping the day before recording, Tom brings the rare perspective of a career-long challenger brand marketer who has spent decades entering nascent, technically complex markets before the mainstream knew it needed them — and turning that early-mover position into a durable content and trust advantage.Topics Discussed:Why inertia from the status quo is the most underestimated competitive force in early-category marketsThe "harvest now, decrypt later" threat making quantum security an urgent problem today, not a future oneHow category leaders win by owning the problem, not marketing the solutionBuilding a "trusted guide" go-to-market motion when enterprise buyers are overwhelmed and undertrainedThe difference between Silicon Valley inside-out product marketing and the outside-in, emotion-first approach that actually drives enterprise decisionsLessons For B2B Tech Marketers:Own the Problem Before You Pitch the Solution: Tom's core content philosophy is that category leaders own the problem, not the product. In a space like post-quantum cryptography, where even sophisticated buyers are still forming their understanding, Quantum XChange invests heavily in educational content — roadmaps, frameworks, threat briefings — with no pitch attached. The goal is to become the lens through which buyers think about the problem, so that by the time they evaluate solutions, you've already earned the selection.Treat Inertia as Your Real Competitor: In every early-category market Tom has entered, the most dangerous competitor wasn't another vendor — it was the status quo. Existing encryption methodologies have been in place for 50 years. Security teams are stretched. AI has already consumed every budget conversation. Marketers in emerging categories have to account for this gravitational pull and design campaigns that address it directly rather than simply promoting differentiation against named alternatives.Find the People Who Get It and Arm Them: Not every stakeholder in a target account is ready for the message. Tom's approach is to identify the individuals inside organizations who already see the threat clearly — often lone voices surrounded by colleagues with other priorities — and equip them with the content, data, and frameworks to make the internal case. Those people become de facto ambassadors, extending the company's reach through channels no ad budget can buy.Build the Playbook When One Doesn't Exist: When Tom joins a new category, his first question is who has the winning playbook — and his consistent finding is that no one does. His response is to create one: a structured value roadmap that maps the opportunity, outlines critical requirements, defines strategies, and helps customers size and measure their investment. Giving this away freely positions the company as the category's intellectual authority long before a procurement process begins.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with Rachel Sterling, CMO of Identity Digital, the world's largest domain registry operating nearly 300 top-level domains. Rachel comes to this role with deep roots in Big Tech — including a long tenure at Google and a stint at YouTube managing GDPR compliance — but now occupies a deliberately invisible corner of the internet: the infrastructure layer that makes online identity possible. What makes this conversation so compelling is how Rachel translates the abstract (domain registries, ICANN, agentic search) into a concrete, evolving marketing playbook. In an era where AI is flooding content discovery channels and eroding the click-based performance model marketers have relied on for a decade, Rachel is building a new framework — one centered on multi-audience content architecture, domain relevancy as an AI discoverability signal, and the embedded commerce opportunity now unfolding inside vibe-coding platforms and website builders.Topics Discussed:Why domains are becoming the trust anchor for online identity in an AI-saturated worldHow the .IO and .AI country code story reveals the gap between perceived and actual internet infrastructureWhat the ICANN "Next Round" (opened April 30th) means for the domain registry businessThe B2B2C content architecture Identity Digital uses to reach registrars, channel partners, and end users simultaneouslyLessons For B2B Tech Marketers:Rethink what your domain signals in the age of AI search. Rachel's core thesis is that when generative AI surfaces a blurb about your company in search results, the user may never actually visit your site. That means your domain now has to do a heavier branding lift than ever before. Choosing a top-level domain that extracts relevancy from both sides of the dot — the name and the extension — improves discoverability in agentic search results, not just in traditional SEO. For B2B companies, this is a positioning decision hiding in plain sight.Build content architecture for multiple distinct audiences, not one monolithic funnel. Identity Digital doesn't sell directly to end users — they sell to registrars, who sell to customers. Rachel's content strategy reflects that explicitly: one content layer for channel partners like Squarespace, GoDaddy, and Namecheap to activate their TLDs; a second layer for the registrars themselves as B2B partners; a third for direct customer merchandising through Name.com. Most B2B marketers treat their content as a single funnel. Rachel structures it as three separate, audience-specific programs running in parallel.Find your embedded distribution channel before competitors do. Rachel identified a behavioral shift that most domain registries missed: customers no longer search for "how do I buy a domain?" — they search for "how do I build a website?" and expect a domain to be available inside that workflow. Identity Digital's response is an API at name.com that lets vibe-coding platforms and website builders offer domain purchases natively, removing the DNS friction that historically killed conversions. The analogy to embedded fintech is exact — and the window to own this channel is now.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire — Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with George Kapellos, Global Marketing and Communications Director at Nyobolt, a Cambridge-based deep tech company pioneering high-power, fast-charging energy storage solutions for power-demanding industries including AI data centers, warehouse automation robots, electric vehicles, and humanoids. George runs marketing as a one-man team inside a 120-person organization — no department, no agency, just him, Claude, and a relentless inquisitiveness. He shares how he's building brand awareness for a product category that didn't exist five years ago, how he's tracking LLM rankings as a core marketing KPI, and why being the sole marketer in a deep tech company is one of the most interesting jobs in B2B.Topics Discussed:Marketing a new product category where customers don't yet know they need your productRunning B2B marketing solo inside a 120-person deep tech companyUsing AI (specifically Claude) to operate at B2C speed as a one-man marketing teamBuilding LLM visibility as a measurable, managed marketing channelGrowing a corporate LinkedIn from 11,000 to 15,000 followers in a year for a B2B hardware companyWhy the Cambridge tech ecosystem deserves more attention from marketersThe 50/50 traffic split between word-of-mouth/network and owned marketing channelsLessons For B2B Tech Marketers:Build LLM Rankings Into Your Measurement Stack Now: George monitors Nyobolt's position in AI-generated search results across Claude, ChatGPT, Gemini, and Perplexity every week using a structured prompt — "which are the top 10 companies in the world that produce this product" — and tracks their placement. Nyobolt consistently ranks #1-3. The mechanism: press releases generate news coverage, LLMs ingest that coverage, and the company surfaces in responses. This isn't accidental — it's a deliberate content and PR strategy built around how LLMs retrieve and rank companies. For any B2B marketer still treating LLM visibility as a vague future concern, George's playbook is a concrete starting point.When You're Marketing a New Category, Education IS the Pipeline: Nyobolt spent a year and a half in conversations with a major customer who kept saying they didn't need the product. Three weeks ago, that same customer came back looking to place an order with seven zeros. The lesson: in new product categories, the sales cycle is really an education cycle. George's job isn't just generating MQLs — it's systematically closing the gap between "we don't understand why we need this" and "we need as much as you can give us." Every press release, LinkedIn post, and event appearance is building the knowledge base that makes that conversion eventually inevitable.Operate at B2C Cadence Inside a B2B Company: George describes deliberately moving at a pace that his peers in B2B hardware would consider unusual — constant LinkedIn output, daily content, aggressive event presence. His logic: B2B buyers have to understand they need your product before they'll buy it, and that understanding only comes from sustained exposure. If you go quiet, you lose the education momentum. In 2025 alone, he's driven 24-25 MQL form submissions — significant volume for a hardware company selling units that cost thousands of dollars and take two years to close.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with Rebekah Bastian, CMO at mpathic, a company working with foundational AI model builders and enterprise AI application developers to prevent harmful or unwanted model behaviors. Rebekah's path to CMO came through product leadership — including 15 years at Zillow from the founding team — before taking on her first official marketing title at a 3D printing hardware company and then joining mpathic about seven months ago. At a company where the founding team is composed of psychologists, clinicians, and machine learning researchers producing genuinely novel work, her marketing challenge is precise: no deal should ever be lost because a qualified buyer hadn't heard of them yet.Topics Discussed:Why long-cycle enterprise deals with foundational model companies require awareness-first marketing rather than direct conversionHow the mPACT benchmark series works — testing leading foundational models across suicide-related conversations, eating disorder conversations, and misinformation susceptibilityWhy clinically-trained human annotators working through long-form, multi-turn conversations produce fundamentally different benchmark results than automated AI-driven evaluationThe Zillow playbook: building a dominant brand for years without an ad budget by becoming the most cited data source in every housing news story — and why that same approach is harder to execute nowRunning a three-person marketing team by treating subject-matter experts across the company as the editorial engineA strict internal rule for AI in content production: one stage only per piece — and why violating that rule is exactly where AI slop comes from//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with Maggie Pote, Head of Marketing and Community at Sandstone, an AI platform built to connect in-house legal teams with the broader business. Sandstone launched publicly in January 2026, and Maggie has spent the first five months building a brand in one of the most crowded, VC-saturated spaces in tech — legal AI. Rather than compete on features, she's taken a fundamentally different bet: build a brand the in-house counsel community actually wants to be part of.Topics Discussed:Why Maggie structured Sandstone's entire marketing motion around serving the community rather than selling the productHow out-of-home advertising (billboards, transit, airports) drove organic brand affinity in the first five months post-launchThe three-bucket marketing framework: performance marketing, community, and contentWhy monthly continuing legal education webinars — completely product-agnostic — became a core demand gen vehicleHow Sandstone designs in-person events to break the awkward name-tag happy hour moldThe case for going to market like a DTC brand even in B2B SaaSWhy brand is the last defensible moat in a world where anyone can vibe-code a feature in a weekendMaggie's 2026 north star: building a brand the in-house community trusts, whether or not they ever become a customerLessons for B2B Marketers:Frame the community problem, not the product problem. Maggie's insight that in-house counsel is an isolating job — where colleagues don't necessarily want to be close friends with the general counsel — became the organizing principle for Sandstone's entire marketing strategy. When you understand the emotional texture of your buyer's daily experience, you can build a brand that fills a real gap. That's a fundamentally different starting point than leading with product capabilities.Make the content completely product-agnostic. Sandstone publishes three blog posts per week on how to run a better legal department — with no Sandstone pitch attached. The same logic applies to their monthly continuing legal education webinars, which help attorneys earn required CLE credits while demystifying AI. The bet is that being a genuine resource for the community creates trust that converts on a longer timeline than any MQL nurture sequence.Go to market like a DTC brand. Maggie explicitly frames her target audience as consumers first, B2B buyers second. Five months into launch, Sandstone was running out-of-home campaigns across airports, transit, and billboards — and getting unsolicited photos from customers and prospects who felt compelled to share. That kind of earned excitement doesn't come from a white paper. It comes from a brand that people feel ownership over.Design events around the attendee experience, not your brand. Sandstone's Chicago happy hour featured a rooftop venue and an architecture expert giving a talk on the city's buildings — because Chicago's architecture is genuinely interesting and gives people something to engage with beyond the standard networking awkwardness. The brand stays in the background. The experience stays in the foreground. Attendees bring friends because they want to, not because they were asked to.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with Brady Nagel, Head of Marketing at Pact Labs, an on-chain infrastructure platform connecting stablecoins to fintechs and legacy financial institutions across the globe. Operating in one of the most trust-sensitive categories in B2B tech — Web3 and tokenized finance — Brady has had to build a marketing playbook that makes abstract, unfamiliar infrastructure legible to a skeptical enterprise audience. With nearly $2 billion in loans facilitated on-chain and active partnerships with players like Tether/USDT and blockchain networks Aptos and Celo, Pact is competing on credibility as much as capability. Brady shares how he's approached narrative construction, social proof architecture, and multi-channel presence in a space where trust is the product.Topics Discussed:Building credibility and trust in the Web3 and on-chain finance spaceUsing on-chain transparency as a marketing and trust assetCrafting a clear narrative when your company sits at the intersection of multiple emerging categoriesThe "empowerer vs. savior" positioning distinction and why it mattersHow thought leadership on X/Twitter functions as a top-of-funnel trust signal for enterprise buyersWhy narrative consistency across channels is a prerequisite for enterprise salesTargeting emerging markets — Africa and Latin America — where on-chain finance adoption is highestLessons For B2B Tech Marketers:Use Public Data as a Trust Asset, Not Just a Metric: In crypto, everything on-chain is publicly verifiable. Brady's team leans into this directly — pointing prospective clients to third-party data aggregation sites where Pact's loan volume is visible in real time. For B2B marketers operating in trust-deficit categories, this is a replicable framework: identify the third-party proof sources your buyers already consult and make it frictionless for them to find your numbers there, before the sales conversation even starts.Narrative Clarity is a Prerequisite for Channel Efficiency: Brady frames narrative construction not as a brand exercise but as a revenue lever. When Pact's message was still being refined, every conference appearance, press mention, and podcast was an undersell. Once the narrative locked — "we're the on-chain plumbers retrofitting legacy finance" — the same outbound activities started compounding. The insight: if you can't walk into a podcast or a press moment with a single clear line of who you are, you're leaving those distribution moments on the table.Position Around Empowerment, Not Rescue: Brady describes a deliberate positioning choice — Pact is the "empowerer," not the savior. The distinction isn't semantic. Fintechs and banks aren't coming to Pact because they're broken; they're coming because they want to stay relevant as tokenized finance accelerates. Framing the category conversation around "don't get left behind" rather than "you need fixing" changes the buyer's posture entirely — it's a choice, not a concession.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with ⁠Kusum Chanrai⁠, Marketing Advisor and former growth marketing leader at Culture Amp. Kusum built Culture Amp's organic growth engine from the ground up — turning a paid-dependent funnel into a machine where 20% of leads and customers came from organic content within a single quarter, while cutting cost per lead by 50%. The conversation spans the full arc from SEO to AEO to GEO: what actually drives discovery and conversion in an AI-first world, why community-led growth failed most brands that tried it, and why the brands winning on organic today invested in authentic internal voices years ago.Topics Discussed:Building a three-pillar SEO machine that cut cost per lead by 50% in one quarterWhy comparison pages convert harder than almost any other content typeHow Culture Amp's People Geek community became a parallel brand — and why trying to unify it nearly killed itThe real difference between AEO and GEO, and which one to prioritize firstWhy community-led growth worked for Culture Amp and Lovable but would fail for GoogleWhy ungated content, employee advocacy, and third-party signals now matter more than ever for AEOWhy press releases and newswires are back — and what that tells you about AI discoveryThe one thing every marketer should do before building any content strategyLessons For B2B Marketers:Start with your best customers, not your best guesses. Kusum's first move at Culture Amp wasn't to launch content at scale — it was to open the CRM and map the profiles of customers with the highest ACVs and the loudest advocacy. That ICP clarity drove keyword selection, which drove content, which drove both rankings and sales-cycle acceleration. The pilot ranked in the top eight within two weeks of the first article going live.Comparison pages are the highest-leverage content type most marketers underinvest in. The Culture Amp SEO engine ran on three pillars: comparison pages, engagement survey guidance content, and guest posts. Comparison pages were the standout — they converted aggressively and gave sales reps a credible asset to break through ghosting. The key insight: most competitors are too nervous to publish honest competitive comparisons, which means the few who do get disproportionate traction.Employee advocacy scales when you stop managing it and start unleashing it. Culture Amp identified their strongest internal storytellers — the "weird ones," as Kusum puts it — and gave them permission to talk about customers, culture, and whatever they wanted as long as it connected back to the brand. The result was significant web traffic lift and share of voice on LinkedIn that continues to compound today. The playbook isn't a content calendar. It's finding people who genuinely want to talk and removing the barriers.Gating content is almost always a mistake. Kusum called it one of the most foolish things Culture Amp did. Beyond the obvious SEO cost, it constrains the education of the very audience you're trying to win. With AI tools already able to identify who those visitors are, the logic for gating collapses entirely. Her revised view: embed community assets directly into your main domain to strengthen authority, not splinter it.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership.⁠ www.FrontLines.io⁠The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.⁠ www.GlobalTalent.co⁠//Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here:⁠ https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM⁠

In this episode of The Marketing Front Lines, we speak with Anna Savina, Head of Marketing at Archetype AI. Archetype AI is building Newton, a physical AI foundation model that works with sensor data from existing industrial equipment — conveyor belts, turbines, energy grids, automotive systems — to give operators real-time insights and enable predictive maintenance across industries. Unlike LLMs that operate within the digital ecosystem, Newton interprets physical-world signals and bridges the gap between raw sensor data and actionable decisions. Archetype's early customer roster includes T-Mobile, NTT, and Hazama Ando Corporation, Japan's largest construction company. Anna shares how she's navigating the challenge of marketing an entirely new category — one where the definition is still being written — while managing three distinct audiences simultaneously and building the story that makes operators finally take physical AI seriously.Topics Discussed:Marketing at the frontier of a category that has no agreed-upon definitionWhy Anna's journalism background changed how she builds narrative inside a research-led companyThe three-audience problem: researchers, enterprise buyers, and the broader AI communityWhy Archetype treats partner marketing with AWS and NVIDIA as category infrastructure, not a co-sell motionHow to translate research papers into demand-generating content without losing technical credibilityThe internal debate over naming: when "agent" is the wrong word for what your product actually doesThe 2026 marketing bet: customer success stories as the primary demand leverLessons For B2B Tech Marketers:Treat narrative-building like investigative reporting, not message amplification. When Anna joined Archetype, the founding team came from Google Advanced Technology Lab, NASA, and the MIT Media Lab — all with strong opinions on how the technology should be described. Rather than picking a position and pushing it outward, she ran an internal process that looked more like journalism: surfacing different points of view, stress-testing them against audience reactions, and finding the version of the story that was actually true. For marketers entering technical, research-heavy companies, this framing shift matters — your job is not to amplify a pre-approved narrative, it's to discover the right one.Segment your content strategy by audience, not just by funnel stage. Archetype serves three fundamentally different audiences at once: the AI and research community (who care about technical precision, peer-reviewed papers, and conference presence), enterprise buyers and operators (who respond to white papers, use cases, and ROI narratives), and a broader general audience tracking the physical AI space. Anna maps completely different content formats to each. A research paper that gets published becomes a conference talk for researchers and a translated white paper for business leaders — the underlying signal is the same, but the surface area changes entirely by audience.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Shownotes & Key topics discussed:In this episode of The Marketing Front Lines, we speak with Justin Vogel, Co-Founder & CMO of Safary, the leading customer data platform for crypto. Before Safary existed as a product, Justin spent two years building the industry it would eventually serve — mapping every growth leader in crypto, forming the first invite-only operator community, and establishing category authority before he had anything to sell. That trust-first sequencing became the engine that took Safary from community to $2.4M pre-seed to a platform used by the most sophisticated crypto companies in the world.Topics Discussed: Building a community before a product to establish category trust Using credibility stacking to bootstrap authority as an outsider Why Safary made their certification paid — and how that drove higher adoption The Web2 vs. Web3 targeting paradigm: demographics vs. transaction history Why crypto companies optimize for narrative over revenue, and how that's changing How to deploy community-led growth before you have an ulterior motiveLessons For B2B Tech Marketers:Build Trust Before You Have Something to Sell: Most companies launch community as a growth tactic once they've hit scale. Justin did the opposite — spending two years building Safary Club with no product to promote. When Safary finally launched its tech platform, it entered a market it had already built. The community wasn't a channel. It was the foundation.Bootstrap Credibility Through Association: Justin had no reputation in crypto when he started. His move was to identify one legitimate anchor — Ludo, Head of Growth at Ledger — and use that first endorsement to attract the next 40. That chain of association turned an outsider into the perceived category leader within months.Make Your Educational Product Paid to Increase Its Value: When Safary launched the Safary Certification, they charged $300 per seat and later raised it to $600. The paid structure drove higher completion rates than the free courses that preceded it. Of the estimated 3,000–4,000 crypto marketers in existence, approximately 450 — 10 to 15% of the entire profession — have completed it.Rethink Targeting Based on Available Data: In Web2, marketers use demographics to predict purchases. In crypto, the model inverts: identity is opaque but transaction history is public. What someone has bought is a more accurate predictor of future behavior than who they are — a fundamental shift in how segmentation should be structured.Keep Community Small to Preserve Its Value: Safary Club's largest cohort was 80 people. After eight batches, total membership sits around 350. That ceiling is deliberate. The scarcity is what makes the badge meaningful — members join because being in Safary Club signals top-operator status.Sequence Community Before GTM: The window to build authentic community trust closes once you have a product to sell. Companies that launch community post-product are perceived as having an ulterior motive. The only way to build trust that converts is to show up with nothing to gain.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM // 

In this episode of The Marketing Front Lines, we speak with Brian Fiore-Silfvast, Head of Marketing at Integrate — one of the first ultra-secure, AI-enabled project management platforms built for running complex defense and government programs. Brian joined as Integrate's first marketing hire, inheriting a strong brand skeleton built by a co-founder with a product and creative background, and has been doing the harder work since: connecting the dots into a coherent, consistent marketing system. In this conversation, he breaks down how he makes the case for brand investment without forcing it into a conversion metric, how his team built a precision AI creative stack by connecting Midjourney, Claude, InDesign, and Figma, why he built a context-rich naming framework that lets every engineer at the company name product features on-brand with minimal review — and the positioning process he runs every time he walks into a new company as the first marketing hire.Topics Discussed:Why brand ROI arguments fail when they rely on single data points — and what to present insteadThe positioning artifact Brian builds before touching any other part of the marketing engineHow Integrate's connected AI creative stack works: Midjourney + Claude + InDesign + FigmaUsing Claude Projects to democratize feature naming across an entire engineering orgThe naming decision tree: category creation vs. category amendment, and how to tell which game you're playingHow "silicon batteries" became a defined industry category — and what the mechanic wasRubber balls and crystal balls: a practical framework for prioritization in high-ambiguity startup environmentsLessons For B2B Marketers:Stop trying to justify brand with a single metric — present the system instead. The instinct when a CFO pushes back on brand spend is to reach for a number. Brian's argument is that this framing is the problem. Brand ROI can't be reduced to a click-through rate or a conversion — those measure campaign performance, not brand health. His approach is to demonstrate the system: message consistency across channels, board deck alignment, press message repetition, event presence, and how the business as a whole communicates to customers and partners. The ask isn't "approve this campaign." The ask is "this is the water everything swims in." That's a different conversation — and it requires having a CEO and founders who already have belief in what brand is doing, which Brian notes Integrate's leadership does.Build the positioning artifact first. Touch nothing else until it exists. Brian's first move at Integrate wasn't redesigning the website or refreshing the social presence. It was running the full team through a structured process to lock in audience positioning, messaging, product benefits, where the company wants to be, and where it actually is today. The output is a single artifact that becomes the anchor for every downstream decision — design, PR, OOH, messaging. His framing: it's like planting your ski pole before making the turn. Without it, you're reacting to whatever gets thrown at you. With it, you can move the entire marketing engine in a consistent direction. For anyone walking in as a first marketing hire, this sequencing matters more than almost anything else.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.coDon't Miss: New Podcast Series — How I Hire — Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

As AI compresses the cost of content production toward zero, the question B2B marketers now face isn't how to produce more — it's what only a human can actually say. In a recent episode of The Marketing Front Lines, we sat down with Kevin Lynch, a veteran B2B content marketer whose career spans PR, journalism, and SaaS marketing across verticals from logistics to Microsoft to enterprise software. Kevin shares his framework for extracting organizational POV, why he believes the content team org chart needs to be thrown out and rebuilt, and how a line from Nietzsche — borrowed from the Oracle of Delphi — captures everything a content leader needs to know heading into 2026.Topics Discussed:Why the standard content team structure needs to be scrapped and rebuilt around AI collaborationThe two content formats Kevin believes are genuinely AI-proofA yin-and-yang brand identity methodology for extracting what organizations can never quite articulate about themselvesWhy true thought leadership is making a comeback — and what replaces the ghost-written Forbes op-ed eraThe counterintuitive truth about where AI slows Kevin's process down (and why that's a feature)His single piece of advice for every content leader in 2026GTM Lessons For B2B Marketers:Throw out the content team job descriptions — they're the wrong starting point. Kevin's argument isn't that AI will replace content roles. It's that the existing role definitions were never built for a world where AI is a collaborator. Editors, proofreaders, developers — everyone has been operating from rigid job descriptions tied to legacy performance expectations. His prescription: get the team in a room, have each person articulate what they actually do, what the business needs, and where AI changes the equation. The restructuring should follow that conversation — not precede it.The two content formats that are genuinely AI-proof: customer stories and real thought leadership. Kevin drew a clean line here. The customer testimonial conversation — a real person explaining why a product changed something for them — can't be manufactured. And authentic thought leadership, the kind where a practitioner actually has a point of view earned through experience, is immediately distinguishable from AI-generated content. His exact framing: "You just can't fake it. And when it is AI-generated, you can smell it a block away." Marketers who double down on these two formats are building content equity that compounds regardless of what the tools do next.Ghost-written op-eds that circle back to product features are finished. Kevin named the specific format that's dying: the trend piece that always manages to lead back to whatever the company sells. That era of "thought leadership" was already low-value; AI has simply made it indistinguishable from noise. What replaces it is harder — original thinking, clearly expressed, that doesn't need to sell anything to be worth reading. Kevin's framing: "True, deep thought articulated in a cogent way is going to make a comeback."// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with Thalía Diedrick, VP of Marketing at GoTu — a dental industry marketplace connecting practices with dental professionals. Thalía took her marketing team from 13 people to 3 and simultaneously cut quarterly spend from $1.2M to $260K, a 78% reduction. Rather than treating that contraction as a crisis, she used it as a forcing function to rebuild the entire marketing function around AI-native infrastructure — and then helped close a Series A in the process. This conversation covers the hard internal conversations that actually made it work, the "modular infrastructure" framework her team uses to manage AI tools without chaos, and what it looks like to build the marketing org of the next five years right now.Topics Discussed:How a 78% budget cut became the catalyst for building an AI-native marketing orgEliminating stigma around AI use within a small team: the internal culture shift that preceded everything elseMoving from headcount reduction to capability expansion: what "AI-native" actually means operationallyBuilding a "modular infrastructure" for AI tools that survives model churnDaisy-chaining specialized AI functions — including a compliance skill, email writing skill, and AI Scrum agentThe ROI framework GoTu uses to evaluate every AI build: time savings vs. revenue generationWhy people hold AI to a higher standard than human processes — and why that's irrationalHow career growth changes for marketers when team size stops being the proxy for seniorityBuilding with Open Claw agents, Claude Code, and Lovable as a non-technical marketerLessons for B2B Marketers:Destigmatize AI use before you deploy any tools. Two and a half years ago, when Thalía took over as interim head of marketing, her first move wasn't a tool rollout — it was a cultural reset. She told her team of three to do everything with ChatGPT and removed the shame around it. People were embarrassed that AI was doing "their job." Thalía's framing: at this team size, not using it just slows everyone down. That permission structure preceded any meaningful adoption. If your team is still hiding their AI usage from each other, the bottleneck isn't the tools.Architect for model churn, not for today's favorite LLM. GoTu calls their approach "modular infrastructure" — and the explicit design goal is plug-and-play portability. They've already cycled through custom GPTs, Google Gems, and Claude skills. Their solution: document the use case, the context, the brand rules, and the expected output, not the specific model. The LLM is the function; the documented instructions are the institutional knowledge. When the next model supersedes the current one, the swap is a five-minute configuration change, not a rebuild.Daisy-chain specialized functions rather than building one monolithic AI tool. GoTu's content workflow runs through sequential, purpose-built skills: a compliance skill flags legal concerns first, then the output flows into a blog writing function built on their brand voice and reference materials. Thalía's principle: the more specialized the function, the better the output. Trying to build one AI that does everything well produces mediocre results across the board. Build narrow, document thoroughly, and chain them together.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.coDon't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Sift is a late-stage fraud management platform helping companies detect and prevent fraud across payments and account takeovers. In a recent episode of The Marketing Front Lines, we sat down with Johannes Hoech, CMO at Sift, to get into the actual mechanics of what's working — and what's dying — in B2B pipeline building right now. Johannes brings a rare combination: a decade in product management, a front-row seat to the early days of ABM and predictive revenue through a close contact at Marketo, and 15+ years obsessively focused on demand generation. What follows is a candid breakdown of how he's rethinking channel mix, ICP targeting, AI deployment, and what he calls the "limbic tickle" — the thing that earns a buyer's attention in 30 seconds or not at all.Topics Discussed:The three forces permanently reshaping B2B marketing: measurability, shrinking attention spans, and AIWhy marketing to the limbic system now outperforms rational, feature-led approachesHow Johannes tracks dollar-in to revenue-out by lead source — and what that revealed about channel mixThe death of cold email and why LinkedIn automation is nextWhat actually makes cold calling work today (and why most teams are still doing it wrong)Why intent signals have weak downstream correlation to actual demand — and what he uses insteadDirect mail, small gifts, and curated dinners: the physical-world channels making a comebackThe 6-month shelf life rule for marketing tacticsUsing AI to analyze 50–100 prospect calls at scale and extract differentiation patternsGTM Lessons For B2B Founders:Track pipeline economics by lead source, all the way to revenue. Johannes built a tool in his own startup specifically to measure spend efficiency from first touch to closed revenue — six months downstream — by individual lead source. LinkedIn invites, cold email, conferences, referrals: each gets its own dollar-in, dollars-back calculation. Most teams measure activity metrics or even MQLs and stop there. The discipline is running it through to actual revenue and letting that number drive channel allocation decisions week over week.Add psychographic filtering to your ICP — firmographics alone won't get you there. Johannes targets fraud management professionals at Sift, ranging from individual contributors to director level. But he's explicit that vertical, company size, and geo aren't enough. In both of his companies, he sells to early adopters — people who want a performance edge. That's a personality profile, not a demographic. If you haven't built psychographic criteria into your ICP definition, you're handing your SDRs a targeting model that will surface the right companies but the wrong people inside them.Cold outbound email is effectively dead; cold calling still works — but only after doing the hard homework. The spray-and-pray database model is finished. What Johannes sees working is tight ICP + tight differentiation, translated into what he calls a "high limbic tickle" — something thought-provoking enough that a prospect wants to hear more. The call's job is to inform and build trust, not to push toward a sale. His SDRs are getting real traction. The difference is the quality of the pre-call research, not the volume of dials.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with Nis Frome, a marketing consultant who spent seven years co-founding and scaling Feedback Loop — an on-demand market research platform that navigated the political minefield of selling into Fortune 500 R&D teams. After selling the company in 2021, Nis transitioned to fractional consulting, where he now works with B2B SaaS companies making the often-turbulent shift from self-service and SMB into enterprise. Today, he shares the specific playbook he runs at Coderbyte — a talent evaluation platform serving 50+ Fortune 500 companies with a team of five — covering everything from infosec positioning to pricing psychology to pre-call prep tactics that eliminate surprises before they become deal-killers.Topics Discussed:Why self-service is a product-forcing function — but not an enterprise-forcing functionHow Coderbyte went from SMB-only to 50+ Fortune 500 clients with a five-person teamThe psychology of the enterprise buyer and why they need to be made to look good, not just sold toUsing a pre-built infosec questionnaire to flip the dynamic with security review teamsWhy you need a "flagship" tier on your pricing page that no one is supposed to buyThe 90-day out clause as a trust signal rather than a contractual riskWhy writing a three-paragraph email response is an enterprise red flagThe "no surprises" operating principle for navigating sales callsLessons for B2B Marketers:Treat the Enterprise Buyer's Career Risk as Your Actual Sales Problem. Enterprise stakeholders who buy from startups are taking a personal career bet, not just a procurement decision. There is no rational reason for them to do it — they could get fired if it goes wrong and receive no outsized reward if it goes right. That means your real job in marketing and sales is to make them look good to their boss and eliminate every possible signal that working with you was a mistake. Every surface — your website, your email responses, your contract, your Zoom background — either adds or removes career risk for that buyer.Build and Send a Pre-emptive Infosec Questionnaire. Rather than waiting for a Fortune 500's security team to send a review document, Coderbyte compiled questions from multiple enterprise infosec reviews over the years into a single comprehensive spreadsheet and now proactively sends it after every demo call. The result: infosec teams respond impressed, sometimes borrowing questions for their own future reviews. The signal it sends is unambiguous — this vendor has been through this process dozens of times. At five people, you can create a document that makes you look like a company 100 times your size.Never Answer a Common Question with a Freshly Written Email. If a prospect asks a question and your response is three paragraphs of original prose, you've just told them you've never been asked this before. Every common question should have a help center article, an explainer doc, or a linked resource — even if you have to write it on the spot to answer that question. The reply should reference the asset, not replace it. This is one of the cheapest and highest-leverage ways to signal institutional maturity.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.coDon't Miss: New Podcast Series — How I Hire — Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with Kamron Kunce, the first-ever CMO in the 70-year history of RJ Young, a Southeast-based leader in print and technology solutions. Kamron was brought in to do something no one had done before: transform a sales-driven organization's marketing function from a silo into a genuine revenue growth partner. He shares how he's built a lean, high-ownership marketing team, how he approaches pipeline attribution in a company that runs on field sales, why he owns NPS as a marketing metric, and how RJ Young's COVID-era pivot to tech solutions became the foundation for an entirely new national brand — VelocityOne.Topics Discussed:How RJ Young doubled from $100M to $200M in revenue by launching new tech solutions post-COVIDThe genesis and strategy behind the soft launch of VelocityOne, RJ Young's new national managed services brandWhat it looks like to be the first CMO in a 70-year-old sales-first companyHow Kamron builds and structures a small marketing team with broad ownershipWhy he favors generalists and "hardcore passionate problem solvers" over specialistsHow marketing earns trust from sales by speaking their language and bringing data to every conversationUsing campaign IDs in Salesforce to build genuine pipeline attributionWhy Kamron owns NPS as a marketing metric — and how RJ Young scores above 90Using AI-powered call transcripts to close the customer feedback loopThe three-pronged framework: data, customer conversations, and the human elementWhy the best campaigns start with a real conversation, not a spreadsheetLessons for B2B Marketers:Earn the sales team's trust before you earn their cooperation. Kamron inherited 70 years of marketing being treated as a cost center. His approach wasn't to rebrand the marketing function — it was to show up with data, clear asks, and direct answers to the question every sales leader is already thinking: "What's in it for us?" That shift, done consistently, is what converts marketing from a creative group with big ideas to an actual growth partner.Pipeline influence is only measurable if you build the infrastructure for it. Kamron's team creates campaign IDs directly in Salesforce at the start of every initiative, then does regular check-ins with sales reps to keep attribution intact across the deal journey. This requires building real relationships with salespeople — because salespeople don't update CRMs unless someone they trust asks them to. The data doesn't track itself.Own NPS even when you didn't build it. Kamron treats NPS as a marketing metric, not just a customer success metric. His reasoning: the score tells you whether marketing is making promises the company can actually deliver on. At RJ Young, NPS sits above 90 — a number he attributes to the DNA of the company, not any single campaign or team.Use AI to close the customer listening loop, not to replace it. RJ Young runs AI agents on inbound customer calls to generate transcripts and analyze sentiment. That data doesn't stay in a dashboard — it flows back into marketing decisions, from FAQ content on the website to identifying product-level friction points. The technology is useful specifically because someone is responsible for acting on what it surfaces.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.coDon't Miss: New Podcast Series — How I Hire — Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with Rod Hess, a seasoned B2B marketer whose career spans SEO, content strategy, email, social, and growth — with deep roots in the startup world. Rod shares his perspective on why the fundamentals of marketing have never changed, why authenticity can't be manufactured, and what it actually means to build content that outlasts algorithm updates and AI noise.Topics Discussed:Why SEO isn't about hitting a word count — it's about making your words countThe real reason backlinks matter less today (and what's replacing them)How SEO and AI-powered search converge into one disciplineWhy zero-click search is accelerating a pendulum swing back toward human connectionThe difference between authentic marketing and manufactured authenticityHow to apply Sturgeon's Law to your content strategyWhat Ogilvy on Advertising still teaches modern marketersWhy a point of view is one of the most valuable assets you can developThe danger of letting AI replace your marketing judgment, not just your tasksLessons for B2B Marketers:Write for the customer first — SEO follows from that. Rod's foundational principle: content that answers a real question and solves a real pain point will outlast any algorithm update. Chasing keyword density and word count targets is chasing an algorithm. Chasing your customer's actual question is building a durable asset. The best SEO content and the best customer content are the same content.Backlinks are becoming a vanity metric — zero-click search is the real shift to watch. Rod's view is that the meaningful signal is moving away from backlinks for two structural reasons: major publications have shifted to no-follow links, stripping most SEO juice; and AI platforms increasingly answer queries without sending users anywhere. When the answer lives inside the search experience, your backlink profile stops mattering. What matters instead is whether your content actually gets cited.SEO and AI-native search will converge — and that convergence forces a pivot to social and in-person. Rod sees SEO and tools like AI-powered search engines merging into a single discovery layer. The implication for marketers: as zero-click search pulls traffic away from websites, the platforms that require human presence — social media, events, in-person — become structurally more important. Distribution strategy needs to evolve accordingly.Manufactured authenticity is worse than no authenticity at all. Rod's distinction is sharp: companies that chase whatever the current trend says authentic marketing looks like often create the opposite effect. Authenticity is brand-specific — what reads as genuine for McDonald's reads as a crisis for Lockheed Martin. Experienced marketers know what a brand is, and more importantly, what it isn't. That judgment can't be shortcut.Apply Sturgeon's Law to your content: 95% of what's out there is low-quality — be the 5%. As AI-generated content floods LinkedIn, Reddit, and the web more broadly, Rod sees a coming backlash. The window of advantage is real and finite for marketers who maintain human-authored, genuinely differentiated content. The marketers who protect that signal today will be the ones audiences turn to when the backlash arrives.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.coDon't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with James Allgood, Head of Marketing at CompScience, an AI-powered workers' compensation and safety analytics platform. James has spent his career marketing disruptive technologies into industries built to resist them — finance, insurance, food traceability, pharma — and he's developed a distinctly psychological approach to B2B marketing in the process. In this conversation, he shares the frameworks behind how he thinks about buyer behavior, persona modeling, and what it actually takes to earn trust in "muddy boots" industries where a Patagonia vest can cost you a deal before you say a word.Topics Discussed:Mapping the seven deadly sins to feature benefit frameworks and pipeline generationThe core psychological differences between B2C and B2B marketing motivatorsIdentity marketing and the concept of "identity fusion" vs. brand loyaltyMarketing in heavily regulated industries and why they represent blue ocean opportunityThe "muddy boots" persona problem and how visual credibility functions as a sales credentialBuilding a synthetic market simulator using AI to replace static persona documentsRunning internal hackathons to unlock institutional knowledge across non-technical teamsLessons for B2B Marketers:Map Every Feature to a Deadly Sin, Not Just a Benefit. James builds every marketing brief, feature benefit map, and storytelling framework by tying it back to one of the seven deadly sins. The framework: each feature solves a problem, and the benefit of that feature neutralizes a sin. Reducing manual reporting time by 80% maps to sloth. Protecting workers on a job site maps to fear. The sin is always underneath the benefit — and knowing which one you're pulling on determines how you frame the message. In B2B, the dominant triad is fear, greed, and sloth (not lust, which drives B2C) because organizational buyers optimize for efficiency and cost reduction, not personal aspiration.Understand the Difference Between Brand Loyalty and Identity Fusion. The Catholic Church built in-group and out-group dynamics into its value system 1,400 years ago. Apple and Harley-Davidson do the same thing today. When Harley riders tattoo the logo on themselves, that's not loyalty — that's identity fusion. For B2B marketers in regulated or trade-focused industries, the same psychology applies. Your job is to identify which tribe your buyer already lives inside and show up there on their terms. This means getting the vocabulary right, getting the references right, and sometimes getting the swag right before you ever open your mouth.Treat Swag as a Cultural Signal, Not a Brand Awareness Play. The default ABM swag playbook — Patagonia vest, North Face jacket, logo slapped on — signals Silicon Valley tech culture. That's fine if you're selling to Silicon Valley. But if your buyer is a foreman at a John Deere plant in Iowa or a construction super building a bridge over the Mississippi, those brands signal the wrong tribe. James's insight: a Carhartt jacket on a job site foreman turns him into a walking demo in front of 40 subcontractors every day. Swag is a dog whistle. Know which one you're blowing.//Sponsors:Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.coDon't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with ⁠Kuba Poraj-Kuczewski⁠, VP of Marketing at ⁠Pest Share⁠. Pest Share is building an on-demand pest control platform for large-scale property managers — a category it is essentially creating from scratch. With a total addressable audience of roughly 5,000 to 7,000 companies and 10,000 to 20,000 decision-makers nationally, Kuba is executing a fundamentally different kind of B2B marketing: no broad top-of-funnel, no playbook to steal from competitors, and no meaningful search demand to capture. What he does have is a blank canvas, a sharp ICP problem to solve, and the discipline to say no to easier, smaller business in order to scale the right way.Topics Discussed:Marketing in a category you're creating, with no existing search demand and no competitor playbook to borrow fromHow Pest Share replaced traditional content marketing with a brand movement built around community recognitionThe ICP refinement process: moving upmarket and the internal tension of cutting off easier-to-win businessPractical AI tool stack: how Pest Share uses Ask Elephant, 11x, and Claude todayLessons For B2B Marketers:Turn a low-interest category into a brand moment. When your ICP doesn't want to think about your category — Kuba's property managers actively avoid thinking about pest control — content marketing built around subject matter expertise falls flat. Pest Share's answer was to build a brand movement that has almost nothing to do with pests. What started as founders wearing bright orange shoes to stand out at trade shows evolved into custom Jordan Ones and a nomination program that celebrates property managers who exemplify the company's values. The result: conversations started without ever leading with the product. The tactical insight is straightforward — if your category is a pain point your ICP wants to outsource mentally, find a cultural hook adjacent to the work they're proud of and celebrate that instead.Use ICP sharpening as a forcing function for team structure, not just messaging. Kuba's first major move at Pest Share was identifying that roughly 90% of property managers in America manage only a few dozen doors — completely outside the platform's ideal fit. Tightening to the top 5% of the market meant restructuring SQL targets, realigning the sales team, and absorbing short-term pipeline pressure. The lesson here is that ICP decisions aren't just positioning decisions. They cascade into hiring, channel mix, and what counts as a win. If your ICP work isn't causing friction internally, it probably isn't sharp enough.Build for your ICP's problems, not just your own. With only 60 people per month nationally searching for anything close to Pest Share's core offering, winning organic search was never going to drive meaningful pipeline. Kuba's response is to build AI-powered tools that solve adjacent problems for property managers — specifically around surfacing and analyzing resident reviews — with the goal of drawing them in through utility rather than category awareness. This is demand creation at its most literal: build something your ICP actually uses, earn the relationship, and let the pest control conversation follow naturally.//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership.⁠ www.FrontLines.io⁠The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.⁠ www.GlobalTalent.co⁠Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here:⁠ https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM⁠