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.
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.
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.
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.
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.
One person built, shipped, and marketed a mobile game in 14 days using AI tools, achieving 5,563 installs at $0.39 eCPI on $2,200 spend. MCPs (Model Context Protocol) were critical for agentic workflows. The AI agent CLAW managed ad campaigns via AppsFlyer MCP and BigQuery. Data Locker streamed raw data for analysis. Key takeaway: vendors must offer MCPs for fast, agentic data access; measurement stack (Data Locker, ROI 360, Creative Optimization) is essential for solo teams; human+AI beats AI alone.
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.
Meta introduces the Holiday Insights Center, offering data-driven strategies for small businesses to maximize holiday sales. Key insights: 85% of shoppers buy in-store after seeing products on social media; 59% message businesses during holidays; AI adoption is rising among shoppers and can streamline operations; 94% of shoppers use creator content for guidance. Advertising ROI is strong: $4 back per $1 spent. Actionable steps include optimizing social profiles, enabling messaging tools, leveraging AI, collaborating with creators, and updating data setups like Meta Pixel and Conversions API. The free Holiday Playbook provides step-by-step guidance.
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.
The blog highlights the strategic rationale for a TikTok merger, emphasizing the performance advertising gap where TikTo...
The article examines how identifiers like those from Google and Facebook flow across e-commerce sites via standard integ...
AppLovin explains its AI-driven advertising platform, Axon 2, which has quadrupled ad spend to a ~$10B run rate. The eng...
User acquisition on a budget is achievable through a mix of organic and low-cost paid strategies. Key tactics include op...
Performance issues like crashes and slow load times directly reduce user retention and LTV. With 60% of users uninstalli...
In this mid-quarter update, the CEO refutes recent short-seller reports by highlighting the company's compliance with Ap...