DTC Podcast

Subscribe to DTC Newsletter – https://dtcnews.link/signup Helen Smith built Roo & You from hand-sewn mask lanyards in 2020 into a 100,000+ customer brand, and didn’t touch paid ads for the first 3.5 years. In this episode she walks through the Facebook community that became her growth engine, how she landed Warner Bros and Harry Potter as a licensing partner without a media buyer, and what scaling through a tariff war actually looks like behind the scenes. For DTC founders scaling from $1M to $10M who want to lower CAC and build a real retention moat. What we cover: The mask lanyard side hustle that funded her first container of play couches How a private Facebook group became Roo & You’s primary growth engine The one-strike kindness rule that keeps the community alive Cold-DMing Warner Bros on LinkedIn (and getting a yes) Why licensing is a marketing channel, not a revenue play Adding tariffs as a line item instead of a stealth price hike Launching an affiliate program in November for existing customers Who this is for: Founders leaning too hard on paid, or operators who want to build a community moat before they scale spend. What to steal: Show up in other people’s communities for months before launching your own Set strict community rules on day one, not after things go sideways Make tariffs a visible line item to keep customer trust intact Hand affiliate codes to existing customers before paying creators who’ve never used the product Timestamps: 00:00 Building a brand through community 02:00 Using data to make better decisions 04:00 Handling tariffs and margin pressure 06:00 Launching through Facebook groups 08:00 Early demand and product expansion 10:00 Finding manufacturers and testing products 12:00 Pricing, value, and product longevity 14:00 Organic growth without paid ads 16:00 Transitioning into paid advertising 18:00 Leveraging community for content and growth 20:00 Licensing deals and brand partnerships 24:00 Structuring better partnership agreements 27:00 Challenges with licensing approvals 29:00 Why partnerships are for marketing not growth 30:00 Founder confidence and building in public 37:00 Expanding into the US market 40:00 Choosing the right marketing agency 42:00 Turning customers into advocates 47:00 Advice for founders building a brand Subscribe to DTC Newsletter – https://dtcnews.link/signup Advertise on DTC – https://dtcnews.link/advertise Work with Pilothouse – https://dtcnews.link/pilothouse Follow us on Instagram & Twitter – @dtcnewsletter Watch this interview on YouTube – https://dtcnews.link/video

Subscribe to DTC Newsletter – https://dtcnews.link/signup Amazon’s AI assistant Rufus is already in ~40% of shopping sessions, and according to Amazon CEO Andy Jassy, customers who use it are 60–100% more likely to purchase. Most brands haven’t adjusted. Tyler Mazur (Head of Amazon @ Pilothouse) breaks down what Rufus is actually changing inside Amazon — from how products get discovered to how listings are interpreted across text, images, and context. For DTC founders and Amazon operators who want to stay visible as AI-driven discovery becomes the default What we cover: What Rufus is actually doing inside the Amazon shopping experience Why product discovery is shifting from keywords → problems The marketing words that add zero value (and what to say instead) Why Rufus reads your product images for context How backend keywords should be used now A simple 3-part plan to improve visibility this week Who this is for: Brands selling on Amazon that want an edge beyond just spending more on ads What to steal: Replace vague adjectives with real use-case language Add context everywhere: PDP, backend, images Make your listings easier for AI to understand, not just humans Subscribe to DTC Newsletter – https://dtcnews.link/signup Advertise on DTC – https://dtcnews.link/advertise Work with Pilothouse – https://www.pilothouse.co/?utm_source=AKNF607 Follow us on Instagram & Twitter – @dtcnewsletter Watch this interview on YouTube – https://dtcnews.link/video

Subscribe to DTC Newsletter – https://dtcnews.link/signup http://coyuchi.com Coyuchi is a premium bedding brand with a long purchase cycle and high AOV. That changes how you approach growth, attribution, and retention. Vicki Williams-Grahan (Brand President) explains how they tested Meta’s impact by turning it off, how they think about LTV in a low-frequency category, and why product selection inside ads matters as much as creative. For DTC operators scaling high-AOV brands with long purchase cycles who need to rethink CAC, LTV, and attribution. In this episode: What happened when they turned off Meta for 6 weeks Why Google Analytics 4 underreported performance vs platform data How segmentation (via Decile) changed acquisition Why entry-level products lowered overall performance How they use daily forecasting and contribution profit Who this is for: Operators in high-AOV categories (home, furniture, luxury, etc.) What to steal: Run incrementality tests (or dim market tests) Prioritize high-LTV acquisition, not just conversion rate Track contribution profit daily Timestamps 00:00 Introduction and evolving customer profile 02:00 Coyuchi brand overview and DTC shift 04:30 Challenges of high AOV and long purchase cycles 07:00 Customer segmentation and tools like Decile 09:30 Meta ads experiment and going dark 13:00 Attribution insights and incrementality testing 15:00 Daily forecasting and contribution profit focus 17:30 Product strategy and high LTV vs entry products 21:30 Retention storytelling and non-sales emails 25:00 Brand repositioning beyond sustainability 32:00 Bringing paid social in-house and creative speed 35:00 Using AI in marketing and creative testing 36:30 Channel testing including podcasts and CTV Subscribe to DTC Newsletter – https://dtcnews.link/signup Advertise on DTC – https://dtcnews.link/advertise Work with Pilothouse – https://dtcnews.link/pilothouse Follow us on Instagram & Twitter – @dtcnewsletter Watch this interview on YouTube – https://dtcnews.link/video

Subscribe to DTC Newsletter – https://dtcnews.link/signup Meta changed attribution in March — and suddenly every brand’s ROAS looks worse. Chris Richards from Pilothouse breaks down what actually happened, why performance appears to have dropped 30–45%, and how brands should respond without damaging long-term growth. For DTC founders and operators scaling from $5M–$50M who rely on Meta as a core channel. In this episode: What Meta’s attribution change actually did Why social proof no longer shows up the same way How to interpret rising CPA and falling ROAS Why MER is a better north star right now The risk of over-retargeting after performance dips Who this is for: DTC founders, CMOs, and media buyers trying to make sense of Meta performance What to steal: Shift from ROAS to MER as your primary KPI Keep funding top-of-funnel even when numbers look worse Use consistent attribution (MTA) to guide spend decisions Timestamps 00:00 Meta attribution change explained 02:00 Click vs engaged attribution breakdown 04:00 Impact on ROAS and CPA metrics 06:00 Social proof and ad performance insights 08:00 Why engagement optimization can backfire 10:00 Importance of multi-touch attribution tools 12:00 How campaign strategy is shifting 14:00 MER as a new performance north star 16:00 Omnichannel and ecosystem thinking 18:00 Meta automation and future attribution trends 20:00 What brands should do right now 22:00 Strategy mistakes and growth risks Subscribe to DTC Newsletter – https://dtcnews.link/signup Advertise on DTC – https://dtcnews.link/advertise Work with Pilothouse – https://www.pilothouse.co/?utm_source=AKNF605 Follow us on Instagram & Twitter – @dtcnewsletter Watch this interview on YouTube – https://dtcnews.link/video

Subscribe to DTC Newsletter – https://dtcnews.link/signup Affiliate is getting a lot more attention in DTC right now, and for good reason. In this episode, Yash Chavan, Founder and CEO of SATHI & SARAL, breaks down why the channel looks so attractive on paper, where it falls apart in practice, and what brands can do to make it perform like a real growth engine. Claim your free trial and 20% across all pricing plans at mysathi.io. Don’t forget to use the code DTC! Request your free trial: http://www.mysathi.io/?utm_source=partner&utm_medium=dtc&utm_campaign=dtc-podcast We get into: Why affiliate is attractive to operators and finance teams How last-click attribution distorts performance data What affiliate fraud actually looks like inside a real program How to think about multi-touch attribution by product category Why gamification matters if you want creators to stay active How affiliate fits alongside Meta, TikTok, and retargeting What to steal: Run a fraud scan on your current affiliate program and check for leaked codes Build commission tiers and milestone bonuses to keep strong creators engaged Choose an attribution model based on how your product actually gets bought If you’re a DTC marketer, founder, or growth lead trying to lower CAC, improve measurement, and build a more durable acquisition program, this episode is essential listening. Timestamps 00:00 Affiliate marketing explained 02:00 Why affiliate is hard to scale 04:00 The problem with last-click attribution 06:00 Affiliate fraud examples and risks 09:00 Influencers shifting to affiliate models 11:00 Why reels + links change everything 13:00 How modern affiliate tracking works 16:00 Multi-touch attribution strategies 19:00 Retargeting affiliate traffic 21:00 Gamifying affiliate programs 24:00 How to start and scale affiliates 27:00 Program hygiene and key metrics 30:00 Where affiliate fits in your funnel 33:00 The future of affiliate marketing Subscribe to DTC Newsletter – https://dtcnews.link/signup Advertise on DTC – https://dtcnews.link/advertise Work with Pilothouse – https://dtcnews.link/pilothouse Follow us on Instagram & Twitter – @dtcnewsletter Watch this interview on YouTube – https://dtcnews.link/video

Subscribe to DTC Newsletter – https://dtcnews.link/signup https://lexingtonbakes.com/ Lex Evan built Lexington Bakes after years of baking for friends who kept telling him the same thing: they didn’t usually like desserts like this, but they loved his. That turned into a bootstrapped brand built on better ingredients, frozen and refrigerated distribution, and a refusal to follow the usual packaged dessert playbook. For CPG founders and DTC operators trying to improve conversion, CAC, and retail sell-through without watering down the product. In this episode, Lex breaks down: How Lexington Bakes went from a holiday presale to about 200 retail stores Why premium products can fail when value is not obvious at first glance How changing format, sizing, and offer structure helped bring CAC from roughly $180 down to $25 on a new-customer offer What “radical ingredient transparency” actually looks like in packaged food Why a product rename turned a weak SKU into one of the brand’s best retail performers Who this is for: DTC founders, CPG operators, grocery brands, and marketers working on pricing, offer design, retention, or retail expansion. What to steal: Build first-order offers around how cautious buyers actually shop Make value obvious without forcing customers to do math Use plain-language product naming until the brand has enough equity to get more creative Timestamps: 00:00 From zero to shipping 500 brownies 02:30 Why Lexington Bakes started 05:00 No preservatives and cold chain strategy 07:00 Manufacturing challenges and scaling 09:30 Radical ingredient transparency explained 13:00 Product evolution and Lexington Bakes 4.0 17:00 Pricing psychology and shelf perception 21:00 Fixing DTC conversion and CAC 24:00 Intro offer strategy and LTV thinking 29:00 Retail behavior and repeat purchase patterns 34:30 Naming mistake and SKU turnaround 39:00 2026 growth strategy and manufacturing focus Subscribe to DTC Newsletter – https://dtcnews.link/signup Advertise on DTC – https://dtcnews.link/advertise Work with Pilothouse – https://dtcnews.link/pilothouse Follow us on Instagram & Twitter – @dtcnewsletter Watch this interview on YouTube – https://dtcnews.link/video

Subscribe to DTC Newsletter – https://dtcnews.link/signup Most brands test YouTube, don’t see conversions, and shut it off. The problem isn’t the channel. It’s how they’re measuring it. Dougie from Pilothouse breaks down how YouTube actually drives growth for DTC brands, and why cost per brand search is one of the most useful signals to track early. For DTC founders and growth marketers spending $50K+/month and looking for a channel beyond Meta. What we get into: Why conversions lag on YouTube The 4-week window to judge early performance How cost per brand search shows real intent Budget levels needed to generate signal Targeting mistakes that kill campaigns Who this is for: Brands hitting a ceiling on Meta and testing new acquisition channels What to steal: Track brand search before and after launching YouTube Use cost per brand search to judge efficiency Run geo tests to validate lift Timestamps 0:00 YouTube as awareness vs conversion channel 2:00 Why DTC brands fail testing YouTube 4:00 Creative and audience readiness for YouTube 6:00 Why YouTube attribution is broken 8:00 Cost per brand search as key metric 10:00 YouTube campaign setup basics 12:00 Targeting mistakes and audience signals 14:00 Excluding existing customers properly 16:00 Setting expectations and measuring success 18:00 Budget requirements and testing timelines 20:00 Fixing struggling YouTube accounts 22:00 Low quality placements and wasted spend 24:00 Creative strategy and frequency on YouTube 26:00 The first 5 seconds rule for ads Subscribe to DTC Newsletter – https://dtcnews.link/signup Advertise on DTC – https://dtcnews.link/advertise Work with Pilothouse – https://www.pilothouse.co/?utm_source=AKNF603 Follow us on Instagram & Twitter – @dtcnewsletter Watch this interview on YouTube – https://dtcnews.link/video

Subscribe to DTC Newsletter – https://dtcnews.link/signup Bradley Sutton from Helium 10 joins the pod to break down how serious brands should be thinking about Amazon now: not as a backup channel, but as a core retail growth engine. We get into where Amazon fits in an omni-channel stack, how PPC has gotten way more complex, why Walmart and TikTok Shop matter more than most brands admit, and where sellers can actually use AI for efficiency. Sign Up for Helium 10: https://www.helium10.com/?utm_source=DTC&utm_medium=Podcast&utm_campaign=homepage In this episode, we cover: Why Amazon has shifted from “nice to have” to a core acquisition and retention channel How top sellers use PPC automation, dayparting, and keyword harvesting to manage spend without blowing budget What Helium 10 actually helps with, from product research and listing optimization to competitive intel and campaign management Why TikTok Shop and Walmart aren’t side quests anymore How to think about Rufus, AI shopping tools, and what actually matters right now If you’re a DTC founder or an ecommerce operator scaling across Amazon, Walmart, and TikTok Shop and you want cleaner CAC, better retail media performance, and fewer wasted ad dollars, this episode is a must listen. Helium 10 is a platform that brings research, operations, Amazon advertising, and performance insights together so you can scale faster across marketplaces. Timestamps 00:00 Amazon beyond a traffic source 02:00 Amazon as a core growth channel 03:30 Multi-channel fulfillment and expansion 06:30 Why Amazon ads are now critical 08:00 Organic vs paid growth on Amazon 12:00 Product research and competitor analysis 15:00 Validating demand before launching 19:00 Amazon vs TikTok vs Walmart strategy 23:00 AI impact on Amazon shopping behavior 28:00 Branded keyword bidding strategy 32:00 Automation and dayparting for ads 36:00 Biggest mistakes Amazon advertisers make Subscribe to DTC Newsletter – https://dtcnews.link/signup Advertise on DTC – https://dtcnews.link/advertise Work with Pilothouse – https://dtcnews.link/pilothouse Follow us on Instagram & Twitter – @dtcnewsletter Watch this interview on YouTube – https://dtcnews.link/video

Subscribe to DTC Newsletter – https://dtcnews.link/signup Kim Chappell is Chief Brand Officer at Bobbie, the mom-founded infant formula brand that’s crossed $100M in revenue and is trying to change how formula gets talked about in America. In this episode, she breaks down how Bobbie built a brand parents are proud to buy in a category that used to be driven by guilt, and why trust beats sheer creative volume when the old Meta scale-button playbook stops working. For DTC founders, CMOs, and performance marketers scaling a trust-heavy product in a crowded category. Inside the episode: Why Bobbie treated infant formula as a culture problem, not just a product problem How the team thinks about brand vs performance now that the old Meta-only growth playbook has weakened What “learn more” looks like when your customer journey is messy, delayed, and omnichannel How Bobbie chooses the few advocacy lanes it can credibly own, then actually follows through Why the Cardi B partnership worked, and how it turned celebrity into conversation share, trust, and policy momentum Who this is for: Operators building in regulated, trust-sensitive, or education-heavy categories where brand has to do real work before performance can convert. What to steal: Put performance, organic, creator, and lifecycle under one brand story Treat education as part of conversion, not a nice-to-have Pick fewer cultural or political lanes, but show up with receipts when you enter them Timestamps 00:00 Performance marketing has changed 03:00 Building Bobbie from scratch 06:00 Removing the stigma around formula 08:00 Why Bobbie understood the customer 10:00 Transparency as brand strategy 12:00 Brand vs performance 15:00 The omnichannel customer journey 18:00 Choosing the right advocacy lanes 21:00 Community-led brand action 23:00 Building awareness in a small market 26:00 How the Cardi B partnership happened 29:00 Measuring the campaign’s impact Subscribe to DTC Newsletter – https://dtcnews.link/signup Advertise on DTC – https://dtcnews.link/advertise Work with Pilothouse – https://dtcnews.link/pilothouse Follow us on Instagram & Twitter – @dtcnewsletter Watch this interview on YouTube – https://dtcnews.link/video

Subscribe to DTC Newsletter – https://dtcnews.link/signup Jordan Gordon from Pilothouse comes back to the DTC Podcast with a sharp warning for brands buying into AI-powered customer segmentation. The promise sounds good: send to the “best” people, cut waste, let the machine find hidden revenue. The problem is what happens after that. Jordan breaks down why over-segmentation can shrink your active list, cut click volume, hurt inbox placement, and quietly bleed revenue over time. For DTC founders, retention leads, and CRM operators trying to grow email revenue without slowly choking list health. In this episode, Jordan gets into: Why inbox placement still sits upstream of almost every retention result How “smart” segmentation can reduce sends so much that your list starts decaying The real risk of AI tools unsuppressing bad or low-quality addresses Why cleaner funnels usually beat clever segmentation The 15 lifecycle touchpoints most brands should actually be auditing across site, pop-up, landing pages, and email Who this is for: DTC operators, lifecycle marketers, Klaviyo teams, retention agencies, and founders trying to scale email without tanking deliverability. What to steal: Audit whether your segmentation strategy is growing revenue or just shrinking mail volume Map your top lifecycle touchpoints and check them for message, persona, and offer consistency Prioritize tools that increase high-intent capture and safe inbox placement instead of just “optimizing” who gets excluded Timestamps 00:00 AI segmentation buyer beware 02:20 Inbox placement vs message quality 04:40 Why sending less can shrink revenue 08:05 When AI unsuppresses bad addresses 10:55 Has anyone cracked AI segmentation 13:10 One clean funnel beats micro-segmentation 15:35 The 15 lifecycle touchpoints to audit 17:45 Persona mismatch kills conversion 19:55 If everybody owns it, nobody owns it Subscribe to DTC Newsletter – https://dtcnews.link/signup Advertise on DTC – https://dtcnews.link/advertise Work with Pilothouse – https://www.pilothouse.co/?utm_source=AKNF601 Follow us on Instagram & Twitter – @dtcnewsletter Watch this interview on YouTube – https://dtcnews.link/video

Subscribe to DTC Newsletter – https://dtcnews.link/signup http://cocktailbuddies.com Tao, founder of Acid Buddy, joined the show to talk about a product that feels early, unusual, and potentially huge: flavored acids. After years working in bars and consulting, he kept running into the same issue. Citrus was inconsistent, messy, expensive, and limiting. So instead of treating acid like a background ingredient, he turned it into the product itself. That’s the bet behind Acid Buddy, and early traction suggests the market is paying attention: 1,000+ orders in the first 6 weeks, with customers in more than 75 countries. For DTC founders creating new categories, and beverage operators who want more consistency, speed, and flexibility behind the bar. In this episode, we get into: Why Tao believes flavored acids could become a real new category in beverages How Acid Buddy gives bars another place to build flavor, outside the usual syrup-heavy approach Why the product works for cocktails, mocktails, coffee, tea, and other drinks How this can help with half-sweet and skinny-style drinks that still feel balanced What the first 6 weeks looked like, including 1,000+ orders and strong pull without paid ads Who this is for: DTC founders, beverage brands, bar owners, operators, and anyone interested in category creation inside food and drink. What to steal: Build around a problem professionals already deal with every day Make the use case obvious fast, especially when the category is new Let early traction validate the story, then widen the market Timestamps 00:00 Why Acid Buddy exists 02:10 Solving consistency behind the bar 04:12 Turning flavored acid into a product 06:14 Why the cocktail market is huge 08:24 What makes Acid Buddy different 10:31 Mocktails, coffee, and drink less better 13:08 The bar lime hygiene problem 15:18 1,000 orders in the first six weeks 18:03 The content and ambassador strategy 21:12 Why TikTok Shop could be big 23:35 Tao’s Netflix and Drink Masters story 28:42 The Cocktail Buddy long-term vision Subscribe to DTC Newsletter – https://dtcnews.link/signup Advertise on DTC – https://dtcnews.link/advertise Work with Pilothouse – https://dtcnews.link/pilothouse Follow us on Instagram & Twitter – @dtcnewsletter Watch this interview on YouTube – https://dtcnews.link/video

To Subscribe to DTC Newsletter – https://dtcnews.link/signup Braydon Germain from Pilot House is back on AKNF to break down how AI is changing the actual day-to-day of marketing work. This episode isn’t about shiny demos or abstract AI hype. It’s about using Claude like a real coworker: building skills, breaking work into micro-tasks, automating repeatable steps, and keeping human taste where it matters. For DTC founders, agency operators, media buyers, and creative strategists trying to turn AI from a novelty into a real workflow. In this episode, Eric and Braden get into: How Claude shifts from “chat tool” to “coworker” why the best AI workflows start by breaking work into smaller repeatable tasks How teams can build shared skills for more consistent copy across channels Where auto-research and always-on optimization could actually change how marketers work Why human judgment still matters most in taste, positioning, and creative direction Who this is for: Marketers and operators who already use AI a little, but know they’re still nowhere near the ceiling. What to steal: Break one recurring workflow into micro-tasks before trying to automate all of it Build shared AI skills around tone of voice, reference examples, and approval standards Keep AI on structure and repetition, keep humans on taste and final judgment Timestamps 00:00 Claude as a real coworker 02:21 Why most people use AI too simply 04:22 Breaking ad work into micro tasks 06:26 Standardizing copy across client accounts 08:01 Building Claude skills with Skill Builder 10:06 Auto research and KPI-based optimization 12:08 Always-on execution with AI agents 14:15 Best Claude skill libraries on GitHub Subscribe to DTC Newsletter – https://dtcnews.link/signup Advertise on DTC – https://dtcnews.link/advertise Work with Pilothouse – https://www.pilothouse.co/?utm_source=AKNF599 Follow us on Instagram & Twitter – @dtcnewsletter Watch this interview on YouTube – https://dtcnews.link/video