During the pandemic, retailers faced shrinking margins from rising last-mile costs and turned to retail media—building advertising businesses on their ecommerce platforms—as a high-margin profit source, with margins around 75% compared to 5% for traditional trade. For a retailer with a $10B ecommerce channel that breaks even, a retail media business generating 2% of GMV could add $200M in profit. However, retail media is fundamentally different from traditional retail: it's a B2B enterprise business involving complex digital assets, requiring distinct people, data, technology, and operating models.
Many retailers lacking these capabilities outsourced their entire retail media operations, including ad sales, ad serving, and even supplier relationships, to third parties. This outsourcing disintermediated the long-standing retailer-supplier relationship, creating confusion when both retailer buyers and outsourced vendors communicated with suppliers. The author, who helped start Walmart's ad business (WMX), notes they outsourced everything except measurement and targeting built on sales data, enabling rapid scaling.
Now, as retail media becomes a $125B market, retailers are ready to reclaim control. Companies like Kroger and Home Depot are bringing ad sales, operations, and technology in-house, hiring hundreds of new roles, and adopting white-labeled tech solutions rather than building their own. This shift allows retailers to better integrate retail media with joint business planning and upfronts, strengthening supplier relationships and establishing retail media as a core, internally managed business.
Marketing attribution identifies which channels drive conversions, helping allocate budgets effectively. It uses models like single-touch (first/last click) or multi-touch (linear, time-decay) to assign credit across customer journeys. Challenges include privacy changes and tracking difficulties, but solutions like MMPs and AI can help optimize campaigns.
Retail media networks report ROAS using different methodologies, causing up to 63% fluctuation across networks for the same campaign. This isn't a data quality issue but a structural one. Brands using multiple networks face a fragmentation tax where each network is its own source of truth, and budget decisions based on these irreconcilable figures are misleading. Independent measurement, applying the same attribution logic across all networks, is needed to reconcile data and enable confident cross-channel decisions. The signal infrastructure for this already exists from mobile measurement.
Resonance, defined as attention times engagement, is key for ad effectiveness. Short, creative ads on TikTok achieve high impact early, with 50% effect in 2 seconds and 90% ad recall in 6 seconds.
TikTok recommends broad targeting for most advertisers, as it outperforms narrow targeting with lower CPA and higher conversion rates. Use Smart Targeting to expand when performance drops. Validate that advanced techniques beat broad targeting.
Data collaboration platforms are consolidating under ad-centric owners, threatening measurement neutrality. Publicis bought LiveRamp, WPP acquired InfoSum, and LiveRamp absorbed Habu, leaving AppsFlyer as the only major independent player. Brands must vet partners for conflicts: does the platform or its parent benefit from ad spend? Without independence, budget allocation and ROAS calculations may reflect agency incentives over actual performance. Key questions: revenue from ads, cross-channel attribution consistency, data governance, and auditable methodology.
TikTok offers new advertisers a limited-time incentive: spend $100-$1500 and get matching credits plus expert support. The blog encourages SMB fashion brands to create engaging content using hashtags and ad formats to boost sales.
Subscription apps like Netflix and Spotify charge recurring fees for premium features. They offer predictable revenue, higher user loyalty, and better App Store rankings. Key models include flat-rate, tiered, and per-user pricing. Success requires value-driven pricing, free trials, and transparent practices.
AppsFlyer MCP connects Claude directly to live attribution data, replacing manual reporting and CSV exports. Gaming teams catch budget anomalies overnight, finance teams compress multi-hour analysis into minutes, and e-commerce teams close the gap between measurement and spend decisions. Setup takes under 60 seconds, enabling real-time queries on channels, cohorts, and ROAS. The key insight is that AI-powered analysis requires live data connections, not stale exports.
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