AI Marketing Pulse: Key Developments from Sunday, 14th April 2025

This week's briefing explores two significant developments reshaping marketing strategies: the powerful convergence of retail media networks with connected TV platforms, and the renaissance of marketing mix modeling as privacy-durable measurement becomes essential. These trends offer marketers new opportunities to connect discovery with purchase intent and establish more reliable attribution in a complex, privacy-focused environment.Story #1: Retail Media and Connected TV Convergence Creates Full-Funnel OpportunitiesPublication: eMarketerDate: January 27, 2025URL: https://www.emarketer.com/content/network-agency-ad-tech-retail-media-experts-expect-2025What Happened: Retail media networks and connected TV platforms are increasingly joining forces, with retail media expected to account for 15% of US CTV ad spend in 2025. This convergence is creating opportunities for brands to leverage the technical capabilities of CTV alongside the purchase data from retail media networks to create more effective shoppable advertising experiences.Why It Matters: Traditionally, CTV excelled at upper-funnel brand awareness while retail media dominated lower-funnel conversion. The integration of these channels now enables marketers to create seamless customer journeys from discovery to purchase, addressing the full marketing funnel within coordinated campaigns.Suggested Actions:* Evaluate retail media networks with established CTV partnerships that align with your audience* Develop creative strategies incorporating stronger calls-to-action designed for TV viewing environments* Implement measurement approaches that account for cross-channel customer journeysStory #2: Shoppable CTV Adoption Accelerating Among ConsumersPublication: eMarketerDate: March 2025URL: https://www.emarketer.com/content/pairing-retail-media-ctv-means-more-data-close-loop-measurementWhat Happened: The share of US consumers purchasing products through shoppable CTV ads increased nearly 50% between February and August 2024, according to eMarketer data. Major retailers including Walmart Connect, Albertsons Media Collective, and Best Buy Ads have established partnerships with platforms like Roku, Disney Advertising, and NBCUniversal to enhance targeting and measurement capabilities.Why It Matters: As consumer acceptance of shoppable TV experiences grows, brands have a significant opportunity to create more interactive and conversion-focused campaigns. These partnerships enable more accurate, seamless measurement across channels, helping marketers better understand the true impact of their advertising investments.Suggested Actions:* Test shoppable ad formats that minimize friction in the purchase process* Leverage retailer first-party data for more precise audience targeting on CTV platforms* Establish KPIs that measure both engagement and conversion metrics across the customer journeyStory #3: Marketing Mix Modeling Renaissance Led by Google MeridianPublication: Search Engine JournalDate: January 30, 2025URL: https://www.searchenginejournal.com/google-launches-open-source-meridian-marketing-mix-model/538530/What Happened: Google has made its Meridian marketing mix modeling platform available to all marketers and data scientists. This open-source MMM framework uses Bayesian causal inference methods to measure the holistic impact of cross-channel marketing efforts on business outcomes, offering a privacy-durable approach to measurement.Why It Matters: As privacy regulations and browser changes continue to restrict user-level data collection, marketers are seeking alternatives to traditional attribution. MMM provides a statistical approach to understanding marketing effectiveness without relying on cookies or user-level tracking, making it increasingly valuable in today's measurement landscape.Suggested Actions:* Evaluate whether in-house MMM capabilities or partnership with certified Meridian experts aligns with your resource availability* Begin collecting the historical data necessary for effective modeling across all marketing channels* Consider how to integrate incrementality experiment results from your existing testing programsStory #4: Enhanced Video Measurement Through Reach and Frequency InsightsPublication: Google Developer BlogDate: February 4, 2025URL: https://blog.google/products/ads-commerce/meridian-marketing-mix-model-open-to-everyone/What Happened: Google's Meridian platform incorporates reach and frequency data beyond simple impressions, especially for video campaigns. This helps marketers understand whether their ads are reaching more unique users versus the same audience seeing an ad repeatedly – a crucial distinction for effective budget allocation.Why It Matters: Traditional MMM approaches have measured video in impressions only, which doesn't distinguish between reaching ten unique people once or one person ten times. By accounting for both reach and frequency, marketers can more accurately assess the true impact of their video investments and optimize accordingly.Suggested Actions:* Review your current video measurement approaches to identify gaps in reach and frequency understanding* Test different frequency levels to determine optimal exposure rates for your specific campaign objectives* Develop audience reach strategies that prioritize expanding your customer base versus deepening engagement with existing customersComprehensive SummaryThe marketing landscape continues to evolve rapidly in early 2025, with two significant developments reshaping how brands approach customer engagement and measurement.The convergence of retail media networks and connected TV platforms represents a powerful opportunity to connect traditionally separate parts of the marketing funnel. By combining the upper-funnel brand awareness capabilities of CTV with the lower-funnel conversion strengths of retail media, marketers can create more seamless customer journeys. This trend is particularly significant as consumer acceptance of shoppable TV experiences grows, with eMarketer reporting a nearly 50% increase in purchases through these formats between February and August 2024.Simultaneously, the renaissance of marketing mix modeling, exemplified by Google's Meridian platform, offers marketers a more privacy-durable approach to measurement in an increasingly restricted data environment. By incorporating advances like reach and frequency data for video and the ability to integrate incrementality experiment results, these new MMM approaches provide more accurate insights into marketing effectiveness without relying on cookies or user-level tracking.For marketers navigating these developments, the key considerations include: evaluating partnership opportunities between retailers and CTV platforms that align with their audience; developing creative strategies that leverage the interactive capabilities of connected TV; implementing measurement approaches that account for cross-channel customer journeys; and determining whether to build in-house MMM capabilities or partner with certified experts.Key Takeaways* Embrace Full-Funnel Integration: The convergence of retail media and CTV enables more seamless customer journeys from awareness to purchase – structure your strategies to leverage these connections.* Prioritize Shoppable Experiences: As consumer acceptance grows, test interactive ad formats that minimize friction in the purchase process while maintaining engaging brand experiences.* Adopt Privacy-Durable Measurement: Invest in marketing mix modeling capabilities to ensure continued measurement effectiveness in a post-cookie world.* Move Beyond Impressions: Leverage reach and frequency data to better understand the true impact of your video investments and optimize accordingly.How-To Spotlight: Getting Started with Marketing Mix ModelingFor marketers looking to implement MMM for the first time, here's a practical framework to get started:* Gather Historical Data: Collect at least 2 years of weekly or monthly data on marketing spend by channel, sales/conversions, and external factors like seasonality, promotions, and pricing changes.* Start Simple: Begin with a basic model examining just a few key channels before expanding complexity.* Consider Partnering: Evaluate Google's certified Meridian partners or other MMM specialists to accelerate implementation.* Focus on Actionability: Ensure your modeling approach provides not just attribution but clear guidance on budget allocation and optimization.* Integrate with Experiments: Use A/B tests and incrementality studies to calibrate your models for greater accuracy.Subscribe to our daily updates: https://indexify.substack.com/ and listen to our podcast: https://indexify.substack.com/podcast Get full access to Jon’s Substack at indexify.substack.com/subscribe