The article outlines six predictions for retail media networks (RMNs) in 2025. First, personalization is paramount: 59% of shoppers see repeated ads, and AI-powered commerce media can boost discoverability 10-15x. Second, onsite RMN advertising sees a renaissance, with mid-funnel formats like sponsored brand and video gaining traction.
Third, outcome-based buying models (CPO, tROAS) will determine winners, requiring sophisticated ML-powered optimization akin to Meta Advantage+ and Google Performance Max. Fourth, regional priorities vary: US in-store spend to reach $1B by 2028, Europe scales onsite, and APAC matures. Fifth, RMN leaders invest in sales and go-to-market functions, treating media as a core business (Amazon earns >2/3 operating income from ads).
Sixth, self-serve platforms democratize access, enabling long-tail advertisers. Key data points: RMNs account for 1/5 of digital ad spend; personalized ads boost discoverability 10-15x; in-store spend to hit $1B by 2028. Actionable takeaways: Ad ops should adopt AI-driven personalization, shift to onsite mid-funnel formats, implement performance-based pricing, leverage regional insights, build dedicated RMN teams, and embrace self-serve tech to scale.
Retailers building retail media networks (RMNs) can learn from Google, Meta, and Amazon by leveraging first-party data, machine learning, self-service automation, and outcomes-based performance. Key insights include using purchase intent signals and loyalty data for personalization, investing in AI for targeting and optimization, automating campaign management to scale advertiser participation, and moving to outcome-based pricing like closed-loop attribution. These strategies transform RMNs into high-margin ad platforms that deliver value for brands and shoppers.
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.
The mobile advertising industry is optimistic heading into 2025, with 80% of marketers expecting the year to be as strong or stronger than 2024. Non-gaming apps are driving growth, with downloads up 12% YoY and IAP revenue increasing 20%+. Marketers are prioritizing profitability and ROAS, with over half reporting more aggressive KPIs. Generative AI is already benefiting creative production and optimization. iOS re-engagement remains underleveraged, and most marketers are still adapting to SKAN. Budgets are increasing, with a focus on ad networks and self-attributing networks.
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.
This guide helps app marketers select a Mobile Measurement Partner (MMP) by covering essential features like privacy-first measurement, unified attribution, fraud protection, and advanced analytics. It emphasizes choosing an MMP that integrates easily, scales with business growth, and provides reliable data for optimizing marketing ROI across teams.
Retail media networks (RMNs) offer outcome-based advertising (e.g., 400% ROAS) using first-party data and ML, crucial amid tariff-driven economic uncertainty. Global ad spend growth slows to 5.8% in 2025, but digital and retail media thrive (18% YoY growth) due to transactional proximity and closed-loop attribution. Moloco's ML enables real-time optimization at campaign/SKU level, delivering 3x higher ROAS than legacy models. Advertisers demand certainty; RMNs that pivot from impression/CPC to outcome-based models will capture shifting budgets.
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.
Moloco's Audience Targeting Suite enhances retail media by blending purchase and intent data for precise targeting. Key features include Smart Targeting with AI/ML for automated optimization, Custom Audience Targeting via event/item/time rules, and Predefined Targeting for first-party data activation. Audience Administration tools control access to premium segments. Retailers benefit from increased ROAS, data governance, and revenue from CDP investments. Advertisers gain flexible, high-performing campaigns with closed-loop attribution.
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