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Dave Simon on Retail Media Networks, AI, and In-Store Advertising

The Agile Brand with Greg Kihlstrom®January 16, 202628 min249 views
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The Nuances of Retail Media Networks

  • 🎯 Retail Media Networks (RMNs) are generating billions, but not all brands benefit equally, requiring a fundamental rethinking beyond just shifting budgets.
  • 💡 Simply applying traditional digital advertising playbooks or programmatic tools to RMNs often falls short due to their unique retail environment.
  • ⚠️ A major hurdle is the tension between trade marketing and media budgets, often stemming from treating these as separate P&Ls, creating a strategic blind spot.

Unifying Trade and Media Investments

  • 🚀 Brands need to move beyond siloed P&Ls and adopt a unified approach to RMN investments, focusing on overarching brand objectives.
  • 📈 A "tent pole" strategy, like investing heavily around major events such as the Olympics or World Cup, can help define clear KPIs (e.g., brand recall, skew-level sales lift).
  • 🤝 Brands should share more information with retail media partners to build confidence and ensure alignment on achieving objectives, moving away from traditional leverage-based negotiations.

AI and Data Challenges in Retail

  • ❓ Manufacturers are often blind to crucial sales data, while retailers struggle with data infrastructure and integrating point-of-sale, loyalty, and inventory data.
  • 🧠 AI in retail media is not a single solution but a collection of individual use cases, with potential in areas like inventory restocking and optimizing ad spend efficiency.
  • 💡 A key use case for AI is predicting the likelihood of an ad generating a sale, aiming to minimize impressions needed, especially leveraging in-store data for optimization.

Evolving Measurement Frameworks

  • 📊 A significant pain point is the inconsistent methodology for calculating standard KPIs like ROAS across different RMNs, which also don't align with internal brand measurement schemas.
  • 🔑 Brands should lead by standardizing their own measurement frameworks and communicating them to RMNs, incentivizing transparency and alignment.
  • 📈 While standards accelerate growth, competitive brands may withhold unique insights derived from data, using them to gain market share rather than sharing broadly.

The Future of Mature Retail Media Networks

  • 🌟 Maturity in RMNs is defined by the ability to precisely control dollar investment to drive specific sales volume, understanding how all retail products (trade, media, online, in-store) work together.
  • ⏳ Retail media is still early in its evolution, with only a few years of maturity compared to the decades it took for TV to convert to programmatic CTV.
  • 🚀 Future growth will likely come from a more unified, "benevolent dictatorship" approach within RMNs, focusing on brand objectives and customer engagement over internal P&L disputes, with significant investment in digital in-store signage and integrated online-offline experiences.
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What’s Discussed

Retail Media NetworksTrade MarketingProgrammatic AdvertisingArtificial IntelligenceData StrategyIn-Store AdvertisingMeasurement FrameworksROASCPG BrandsRetailersDigital SignageCustomer ExperienceSales Volume
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