Retail media is a rapidly growing segment of digital advertising, with US spending forecasted to exceed $41 billion in 2022, up nearly $10 billion from 2021, and projected to reach $50 billion by 2023, accounting for one in five digital ad dollars. Five key trends shape its future: First, retailers are inviting smaller brands through self-serve, budget-friendly options, diversifying revenue sources. Second, diversification of partnerships across multiple networks and ad formats (e.g., connected TV) reduces reliance on single providers.
Third, video ads are becoming dominant due to 7.5 times higher click-through rates than static ads, enabling multi-touchpoint engagement. Fourth, first-party data from retail media networks becomes crucial as cookies fade, allowing personalized campaigns based on customer search, browsing, and purchase history. Fifth, machine learning optimizes campaigns for metrics like CTR and ROI, making data-driven decision-making essential.
These trends highlight the need for marketers to adopt self-serve platforms, diversify partnerships, invest in video, utilize first-party data, and leverage AI for effective retail media strategies.
Data discrepancies in mobile attribution arise from differing models, lookback windows, and time zones. Accurate measurement is crucial for ROI. Using a single source of truth via MMPs and raw data helps mitigate issues.
Sponsored ads in retail media networks mimic native site content, like search results on Instacart. They boost brand visibility, credibility, and sales. Retailers like Amazon earn most ad revenue from these ads. Successful examples include Reebok using eBay's Promoted Listings to increase sales by 55%, Clorox leveraging Target's Roundel for a 25% retention boost, and Hershey using Walmart Connect omnichannel to lift sales 73%.
Cross-channel marketing analytics isn't about putting Meta, Google, and TikTok numbers side by side—they often double-count the same customer journey. Fragmented identity is the real culprit; without a first-party Customer User ID, attribution measures platform credit, not customer value. The article explains that deduplicating conversions across mobile, web, and CTV can lift attributed revenue by 30–60% and improve ROAS by 20%. It walks through attribution models, warns against platform-native analytics, and advises using an independent MMP for true cross-channel measurement. Ad ops takeaway: fix identity resolution first, because AI-driven optimization and budget allocation depend on trustworthy, deduplicated data.
App monetization involves strategies like in-app purchases, subscriptions, and advertising to generate revenue from free apps. Key metrics include retention, ARPU, and LTV. Choosing the right model depends on app type and user behavior.
mCommerce is mobile buying/selling. It's booming, hitting $2.2T in 2023. Consumers prefer apps for convenience and security. Success requires fast load times, easy checkout, and personalization.
The open internet presents unique challenges for performance advertising: fragmented identity, closed first-price auctions, and non-stationary supply. Moloco's CARA compound architecture tackles this with six integrated technical domains—Campaign Automation, Supply, Ad Recommendations, Bidding, Creative, and Signals—running on a unified ML infrastructure. Key insights for ad ops: the system continuously learns from every interaction, uses knowledge distillation to serve real-time predictions under 10ms latency, and validates improvements through rigorous live experiments. In 2025, 65 validated model updates reduced CPA by 17% and improved ROAS by 27%. The key takeaway: compound AI architectures that connect prediction, bidding, creative, and data can unlock measurable performance gains beyond walled gardens.
Snack Foods dominated retail media's food category in 1H 2026, accounting for a third of impressions. Leading advertisers ranged from legacy CPGs like Frito-Lay and Oreo to emerging wellness brands including David Protein and Khloud, with rankings shifting via major campaigns. Amazon (1.3B) and Walmart (710M) led impression volume, favoring OnSite Display, while other RMNs leaned on OffSite channels. Notable examples: Instacart saw 60% OTT impressions, and Walmart drove 13% Snapchat share. For ad ops, success requires tailoring channel mix and creative to each retail media network, with flexible strategies that respond to campaign-driven spikes.
This article discusses data privacy in the data market, focusing on GDPR and similar laws. It explains how data vendors ensure compliance through fair and transparent data processing. Sensor Tower describes its privacy-by-design approach, using first and third-party sources with user consent. It emphasizes de-identification and minimizing personal data collection.
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