Retail media networks (RMNs) have emerged as powerful digital advertising channels, providing brands with direct access to motivated customers through on-platform placements like sponsored ads and recommended products. They leverage first-party data from marketplace activity for precise targeting. To maximize return on ad spend (ROAS), marketers must understand how these networks evolve and what features to prioritize.
Key RMNs include Amazon, which dominates with 89% of US retail media ad spend and offers multi-channel opportunities including shoppable livestreams and audio ads; Walmart, with strong omnichannel capabilities linking its app to physical stores; Walgreens, which utilizes data from its 100 million loyalty members and offers OTT/CTV inventory; Instacart, focusing on CPG advertisers with highly qualified data from its app; Home Depot, emphasizing online traffic with 2.2 billion yearly visits and claiming 2x ROAS; and eBay, which provides cookieless marketing via user-ID-connected data and its Advanced Audience Technology (eAAT) that boosts impressions by 31% and CTR by 7%. As consumer shopping shifts online, mastering data to match offers with consumers is crucial, and platforms like Moloco help digital retailers implement their own RMNs.
Retail media advertising targets consumers near the point of sale, both in-store and online. As e-commerce grows, brands pay to promote products in marketplaces like Amazon. These ads use first-party data for targeted campaigns, offering high attribution. Building an in-house retail media network is resource-intensive, so partnering with platforms like Moloco's Retail Media Platform can unlock revenue with minimal risk.
Mobile shopping apps drive 3x higher conversion than mobile web. Granular measurement, deep linking, fraud protection, and re-engagement are key. Personalization and privacy compliance balance is crucial for success.
Retail media platforms provide infrastructure for marketplaces to offer advertising like sponsored ads, boosting revenue without building from scratch. Top platforms include Moloco, Amazon Personalize, Criteo, Crealytics, and Epsilon, each offering unique features such as ML-based targeting and managed services.
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.
SKAdNetwork reveals advertiser-publisher connections, showing Social and Gaming apps drive 92% of paid installs. Privacy thresholds cause conversion value nulls, impacting optimization. Advertisers must adapt campaign structures to overcome NOI decline and leverage limited data for LTV predictions.
ROX measures financial impact of customer experiences on campaigns, focusing on contextualized, personalized, and frictionless CX to boost engagement and LTV.
App Clips are lightweight iOS app extensions under 15MB for instant actions like ordering or paying without full installation. They reduce friction, use QR/NFC triggers, and support Apple Pay and Sign in with Apple.
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.
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