Amazon's new Retail Ad Service provides retailers with advanced ad tech including contextual relevance, native demand from Amazon's advertiser network, and management tools for search, browse, and product pages. However, the offering carries significant risks: Amazon has a conflict of interest, as it gains higher margins from its own inventory, potentially prioritizing its ads over retailers'. Data privacy is another major concern, as sensitive first-party data must be shared within AWS environments.
The article argues that while legacy solutions have failed, independent AI-native platforms like Moloco offer automation and personalization without the competitive threat. Actionable takeaways: retailers should evaluate independent partners that ensure data neutrality, maintain direct advertiser relationships, and provide ML-driven performance. Amazon's move targets smaller retailers, but larger ones may find the trade-offs too risky.
Retail media networks (RMNs) are poised for major growth in 2025, with personalized, AI-driven onsite ads becoming top priority. Advertisers demand performance-based outcomes like CPO and tROAS, while retailers invest in self-serve platforms and go-to-market teams. Key shifts include mid-funnel formats, regional variations (US in-store, EU onsite), and tech partnerships to scale. RMNs that combine ML personalization with streamlined operations will dominate.
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.
Onsite retail media ads remain the most critical driver of RMN growth, accounting for over 80% of ad spending. They offer higher ROAS, better margins, and brand safety. Leading RMNs like Amazon and Walmart generate most media revenue from onsite. Growth can be unlocked through ML optimization, self-serve platforms, and outcomes-based campaigns, even without massive traffic increases.
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.
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.
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.
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.
Ad metrics are essential for optimizing campaigns in a market with rising costs (CPL up 25%, CPC up 10%). Key metrics include impressions, CPM, CTR, CPC, ROAS, CPA, and LTV. Mobile ads require unique metrics like app installs, retention, and stickiness. Best practices: align metrics with campaign goals, choose channels wisely, and partner with an MMP. Future trends include privacy-preserving measurement and AI-driven optimization.
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