AppLovinAppLovin

A Note from Our CEO: Discussing Web Advertising Opportunity and Unpacking Pixels

By Adam Foroughi·Mar 28, 2025·7 min read

Summary

AppLovin CEO Adam Foroughi addresses a short report that challenges the company's e-commerce advertising business and pixel practices. He asserts that the e-commerce ad business has scaled to a billion-dollar run rate in months, driven by technology and execution. Foroughi categorizes advertisers into one-time purchase (e.g., fire extinguishers) and recurring purchase brands.

For one-time purchases, 80% of measurable sales occur within 24 hours of ad interaction, making incrementality clear. For recurring purchases, third-party studies confirm the traffic's value, and because session cookies expire quickly, advertisers may get more value than measured. The pixel, according to Foroughi, is industry-standard, collecting same user behavior as Facebook and Google pixels.

Shopify automatically appends tracking data for merchants, a practice consistent across all platforms. He argues that competitors with decades of head starts have not matched AppLovin's speed or scale. The CEO concludes by urging investors to use AI tools to discredit the short report, citing a Grok3 analysis that finds no unique implementation in AppLovin's pixel.

The path forward is clear: execute relentlessly and seize the massive web advertising opportunity, which is over 10x the mobile gaming market. Key takeaways for ad ops decision-makers: AppLovin's technology is competitive and transparent; attribution models are standard; and the company's rapid growth is backed by measurable results. Actionable steps include evaluating AppLovin's platform for e-commerce campaigns, leveraging AI for verification, and recognizing the potential in web advertising beyond mobile gaming.

You Might Also Like

AppsFlyerAppsFlyer

Unlock 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.

Shani Rosenfelder·May 15, 2025·12 min readRead article →
AppsFlyerAppsFlyer

Cross-channel marketing analytics: how it works in 2026

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.

Rachel Siegman·Sep 3, 2026·14 min readRead article →
AppLovinAppLovin

Performance 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.

Adam Foroughi·Mar 31, 2025·9 min readRead article →
MolocoMoloco

Inside 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.

Tal Shaked·Aug 7, 2026·14 min readRead article →
AdjustAdjust

Meta measurement updates: AMM now supported in Adjust | Adjust

Adjust now supports Meta's Advanced Mobile Measurement (AMM), enabling advertisers to access non-aggregated last-touch attribution data for precise performance analysis. Starting July 21, 2025, Meta's Engaged Views will be treated with the same priority as clicks in Adjust's attribution waterfall, aligning Meta with other self-attributing networks. These updates improve transparency and reporting granularity, allowing ad ops teams to better measure campaign effectiveness. Opt-in is required for AMM.

signing Meta·Jun 17, 2025·3 min readRead article →
MolocoMoloco

The Commerce Media Ecosystem: Where Data, AI, and Ecommerce Shopping Converge

Commerce media, projected to reach $140B in 2025, leverages retailers' first-party transaction data and AI to deliver targeted, performance-driven ads. Privacy regulations and high-margin revenue potential drive growth. Advertisers benefit from closed-loop measurement and high-intent audiences. Retailers gain 70-90% margins. AI enables real-time personalization, automated bidding, and closed-loop optimization. For ad ops, investing in first-party data activation and AI-native platforms is critical to capture this expanding market.

Moloco·May 29, 2025·6 min readRead article →
AppLovinAppLovin

Examination of e-commerce data practices

The article examines how identifiers like those from Google and Facebook flow across e-commerce sites via standard integrations, often using third-party libraries like Elevar. A custom Firefox plugin reveals that identifiers are frequently passed on pre-checkout pages to multiple domains, including AppLovin. The analysis highlights false positives, such as an 'igId' that is actually from Intelligems, not Instagram. Privacy frameworks have leveled the field, and AppLovin emphasizes discarding unauthorized data while leveraging standard APIs and machine learning for growth.

Basil Shikin·Mar 31, 2025·4 min readRead article →
AdjustAdjust

WWDC25: AdAttributionKit, SKAN, iOS 26, and more | Adjust

Apple's WWDC25 announced significant AdAttributionKit updates, including support for multiple overlapping re-engagement conversions with conversion tags, customizable attribution windows per ad network, configurable cooldown periods to avoid misattribution, and new geography data (country codes) in postbacks for high-volume campaigns. Testing capabilities are enhanced via developer mode. These changes give advertisers more control over attribution rules and insights, improving campaign optimization and measurement accuracy across iOS 26 and beyond.

the advertiser for clicks·Jun 9, 2025·4 min readRead article →

More from AppLovin