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.
Digital retail maturity shifts focus from downloads to omnichannel experiences, engagement, and ecosystems. Key data: 8.7B app downloads, 400B web visits, mobile 59% of web visits in Q1 2026. Competitive advantage comes from quick commerce, loyalty, content-led discovery, and connected in-store. For ad ops, prioritize engagement and frequency over acquisition; mobile is dominant; ecosystem expansion is critical.
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.
Cross-platform measurement resolves the common problem of fragmented, device-level reporting that inflates ROAS and misallocates budgets. By unifying customer identity across web, mobile, CTV, and other surfaces, marketers gain a single view of LTV and attribution. AppsFlyer provides this via CUID stitching and Product Line grouping, enabling real-time, deduplicated insights without manual BI work. Key benefits include accurate cross-platform ROAS, elimination of duplicate attribution, and reliable data for AI-driven optimization.
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.
Marketing attribution is critical for connecting spend to revenue, but platform self-reporting and last-click bias distort budget decisions. Single-touch models (first/last-click) are simple but miss the full journey; multi-touch models (position-based, data-driven) are more accurate but require robust data. Mobile attribution is particularly challenging due to ATT, SKAdNetwork, and cross-platform gaps, necessitating a mobile measurement partner (MMP) for independent, deduplicated measurement. Clean attribution data is essential for AI-driven optimization—bad signals lead to bad decisions. Starting with position-based attribution and incrementality testing provides a practical foundation.
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.
Meta introduces the Holiday Insights Center, offering data-driven strategies for small businesses to maximize holiday sales. Key insights: 85% of shoppers buy in-store after seeing products on social media; 59% message businesses during holidays; AI adoption is rising among shoppers and can streamline operations; 94% of shoppers use creator content for guidance. Advertising ROI is strong: $4 back per $1 spent. Actionable steps include optimizing social profiles, enabling messaging tools, leveraging AI, collaborating with creators, and updating data setups like Meta Pixel and Conversions API. The free Holiday Playbook provides step-by-step guidance.
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