MolocoThe Commerce Media Ecosystem: Where Data, AI, and Ecommerce Shopping Converge
Summary
Commerce media, the third wave of digital advertising, is projected to eclipse $140 billion globally in 2025, transforming shopping and advertising. Unlike traditional digital ads, commerce media operates at the intersection of shopping and advertising, using first-party transaction data for targeted, measurable ads. Amazon dominates 75% of U.S. retail media spend, but the market is expanding rapidly, driven by digital privacy evolution (cookie deprecation, stricter laws), high-margin revenue potential (70-90% margins vs. 2-5% in retail), performance-driven advertising, and AI/ML advancements.
Key stakeholders include suppliers (advertisers) seeking high-intent audiences and closed-loop measurement; retailers and marketplaces (media owners) generating new revenue streams; and shoppers benefiting from relevant product discovery. First-party data is the new currency, collected via transaction records, loyalty programs, and on-site behavior. McKinsey data shows personalized marketing powered by first-party data reduces customer acquisition costs by 50%, increases revenues by 5-15%, and boosts ROI by 10-30%.
AI is the backbone, enabling customer journey optimization across product discovery, search results, detail pages, cart, and post-purchase. ML algorithms deliver real-time personalization, user sequence modeling, contextual understanding, and relevance scoring. Automated campaign management with better ML predictions improves ROAS by using less inventory and driving more conversions per dollar.
For ad ops decision-makers, actionable takeaways: invest in first-party data activation, adopt AI-native platforms for real-time optimization, and build robust commerce media capabilities to improve CX, strengthen brand relationships, and capture high-margin revenue. The future of shopping is a seamless, data- and AI-powered personalized journey.
You Might Also Like
AppsFlyerUnlock the value of web-to-app
Web-to-app strategies boost conversions by 77% and achieve 13.6% average paying user rate. Brands like adidas saw 2.4x higher ROAS from deep-linked users, while AirAsia improved bookings by 19%. Key challenges include measurement gaps, siloed teams, and onboarding friction. Solutions involve Google Ads Web-to-App Install and Web to App Connect with AppsFlyer Smart Banners and deep linking. Actionable steps: set tracking, import conversions, activate smart bidding, and deep link users.
AdjustHow are LLMs transforming mobile user acquisition? | Adjust
LLMs like ChatGPT and Gemini are reshaping mobile app discovery, with traditional search volume expected to decline 25% by 2026. These AI platforms act as answer engines, delivering direct app recommendations to users. For ad ops, this shift requires optimizing for LLM visibility through structured content and reputation management. While native ad formats are in early testing on platforms like Perplexity and Gemini, early adoption can secure high-intent placements. Marketers should track AI-driven traffic and align discovery strategies across ASO, SEO, and LLMs to stay competitive in an AI-first environment.
AdjustHow AI is transforming personalization in mobile marketing | Adjust
AI personalization is now essential for mobile marketing, with 71% of consumers expecting tailored experiences. This article outlines how AI enhances audience intelligence, creative personalization via DCO and GenAI, engagement timing, and measurement. Marketers should start small with focused A/B tests, prioritize user value, and collaborate across UA, CRM, and product. Key challenges include privacy, overpersonalization, and model bias. Adjust's Growth Copilot offers AI-driven analytics to streamline decision-making.
AppLovinA Note from Our CEO: Discussing Web Advertising Opportunity and Unpacking Pixels
AppLovin CEO Adam Foroughi refutes a short report questioning its e-commerce ad business and pixel practices. He highlights rapid growth to a billion-dollar run rate, noting 80% of sales occur within 24 hours, proving incrementality. The pixel is standard, comparable to Meta and Google, and Shopify auto-appends data similarly. Foroughi emphasizes that the ad models are young but improving fast, and the web ad market offers massive opportunity. He urges investors to dig deeper and use AI tools to verify claims. The response underscores AppLovin's commitment to innovation and execution.
MolocoInside Moloco's CARA: the AI that compounds
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.
AppLovinPerformance Advertising: How we drive value and handle data
AppLovin explains its AI-driven advertising platform, Axon 2, which has quadrupled ad spend to a ~$10B run rate. The engine uses five data buckets—no hidden data—and relies on sophisticated models with a reinforcement loop. For decision-makers, key insights: Axon drives incremental revenue, not cannibalization; compliance with ATT and no persistent IDs; web attribution uses first-party cookies; and the rapid learning loop adapts to any vertical. The article emphasizes data minimalism and world-class tech as the competitive moat.
MintegralFrom Web to App: Why the Next Wave of Business Growth Lives Inside Mobile Apps
The article argues that mobile apps are crucial for business growth, with 96% of consumers owning smartphones and mobile commerce accounting for nearly 70% of retail e-commerce. It highlights strategies like intuitive UX, AR features, loyalty programs, and app-exclusive discounts to boost retention and acquisition. Brands like Starbucks, McDonald's, and Nike successfully leverage apps for customer engagement and first-party data collection. Mobile ad spend in the US is expected to reach $228 billion in 2025, emphasizing the need for app-centric marketing. Retail media networks also offer new revenue streams through targeted advertising.
AdjustHow data collaboration platforms work in mobile marketing | Adjust
Data collaboration platforms (DCPs) help mobile marketers unify first-party data for secure, privacy-compliant collaboration. They enable audience targeting, campaign optimization, and operational efficiency without exposing raw user data. Unlike data clean rooms, DCPs emphasize activation and integration with downstream systems. For ad ops decision-makers, DCPs offer a scalable way to navigate post-ID privacy regulations while maximizing data value.
More from Moloco
Moloco launches Agency Partner Program with more than a dozen founding partners
Moloco's new Agency Partner Program helps agencies drive profitable performance via Moloco Ads, with education, dedicate...
Inside Moloco's CARA: the AI that compounds
The open internet presents unique challenges for performance advertising: fragmented identity, closed first-price auctio...
Discovery is shifting fast: New insights on AI, apps, and the fight for attention
AI is reshaping discovery, with web traffic declining sharply in information-heavy industries (news -26%, education -22%...
How sports apps are preparing for the next wave of fan engagement
Sports publishers face unique monetization challenges due to event-driven traffic spikes. AI-native SDKs like Moloco opt...
Is your channel mix resilient in an AI-disrupted world?
AI is reshaping consumer behavior, with 80% of Google searches ending without a click and half of consumers using AI for...
Gaming Solved App Monetization From Day One. Why Is the Rest of the App Economy Still Playing Catch-Up?
Gaming publishers treat monetization as infrastructure, using hybrid models with ads and in-app purchases to drive reven...