MolocoDespite hype around offsite, CTV, and in-store media, onsite retail media advertising is poised to continue driving over 80% of retail media ad spending for years.
Onsite ads engage high-intent shoppers in their purchase journey, yielding significantly higher ROAS than offsite placements.
They also offer superior profit margins (often 90%, 3-4x higher than offsite) and a brand-safe environment.
Leading RMNs like Amazon and Walmart derive the majority of their media revenue from onsite inventory, which has an outsized impact on overall profitability.
For example, 68% of Amazon's profits come from digital advertising.
Growth in onsite revenue is achievable without large traffic increases by leveraging machine learning (ML) that automatically improves ad performance, often unlocking 5x more monetization from the same inventory.
Key strategies to maximize onsite growth include: 1) adopting advanced ML for personalized, profitable ads; 2) scaling the advertiser base through self-serve portals that expand TAM and increase auction density; and 3) enabling outcomes-based targeting with probabilistic auctions, allowing advertisers to set target ROAS or CPO.
By focusing on these levers, retailers can maximize value from their most valuable media asset.
First-party data, collected directly from users with consent, is crucial for marketers due to privacy regulations limiting third-party data. It enables accurate personalization, compliance, and cost savings. Key steps include ethical collection, maintaining clean data, and using it internally for product/marketing optimization and externally via commerce media networks.
MolocoRetail media networks are set for major changes in 2025, prioritizing AI-driven personalization and onsite advertising. Advertisers will demand performance outcomes like cost per order, pushing RMNs to adopt outcome-based buying. Investments in sales, go-to-market, and self-serve platforms will democratize access, turning retail media into a core profit driver. Winning RMNs will combine ML tools with streamlined operations to deliver measurable results.
MolocoAmazon launches Retail Ad Service to provide retailers with its onsite ad tech, including contextual ads and native demand. Aimed at smaller retailers, it poses risks of data sharing and conflict of interest. Independent solutions like Moloco offer similar AI-driven capabilities without these drawbacks, allowing retailers to maintain control and competitive advantage.
MolocoRetailers can build effective ad platforms by leveraging first-party data, machine learning, self-service automation, and outcomes-based performance. Learning from Google, Meta, and Amazon, RMNs should use purchase intent signals, AI for targeting, automation for scalability, and closed-loop attribution to prove ROI, transforming digital presence into powerful advertising solutions.
MolocoRetail media networks (RMNs) are rapidly growing but face myths about fragmentation and demand sourcing. Many consider building an SSP to attract demand, but this approach fails to scale. SSPs don't improve inventory performance, shift risk to advertisers, and risk commoditizing inventory. RMNs should instead leverage their unique first-party data and machine learning to drive relevance and performance, following models like Amazon, Meta, and Google to achieve sustainable growth.
The mobile app industry saw strong growth in non-gaming apps (12% downloads, $69B revenue) while gaming stabilized. Marketers are optimistic for 2025 with increased budgets, prioritizing profitability and AI-driven creative optimization. Key challenges include SKAN adaptation and audience retention strategies.
Retail media networks report ROAS differently, causing a 63% fluctuation. Brands need independent measurement to reconcile cross-channel data, as network reports aren't designed for portfolio decisions.
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.
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