The article explains how custom product pages (CPP) for Apple App Store and custom store listings (CSL) for Google Play have transformed app store optimization (ASO). These tools allow marketers to create multiple versions of app store pages tailored to specific user segments, campaigns, or seasonal events, reducing the time and resources traditionally needed for ASO testing. Key benefits include improved discoverability, higher conversion rates, and lower user acquisition costs by aligning ad creatives with consistent store pages.
The article highlights examples: Apple's cycling/hiking/climbing variants for a fitness app and Hetch's localized screenshots for French and Belgian users. Actionable tips include regular A/B testing of creatives, analyzing performance by creative (IPM, CVR, eCPM), using the same concept across ads and pages, testing seasonal content, age-targeting, and differentiating paid vs organic performance. Success requires collaboration between UA and ASO teams.
SKAN 4.0 is Apple's privacy-focused attribution framework for iOS ads. It introduces a four-digit source ID, crowd anonymity tiers, coarse-grained conversion values, and multiple postbacks to provide more campaign data while protecting user privacy.
Small businesses using boosted posts on Facebook and Instagram can now avoid a 30% Apple fee by boosting via web browsers instead of iOS apps. This change supports advertisers with limited resources.
Adjust has expanded store detection and verification across multiple app storefronts, making Store Type the primary dimension for identifying where an install originated rather than relying on platform or OS alone. For ad ops teams, this means campaign performance can now be analyzed at the store level across Huawei AppGallery, Xiaomi GetApps, Samsung Galaxy Store, Vivo Appstore, and Google Play variants, with independent verification of install origin. Newly detected stores are flagged in AppView with a direct route to configuration, and store-level data flows automatically into reporting, raw data, callbacks, and CSV exports, plus Conversion Rules via Store Rule conditions.
Casual gaming UA costs doubled to $2.17 CPI, with iOS at $4.83 vs Android $0.65. LATAM has lowest CPI ($0.44) but lower ROI. New genres like 3D Match and monetization trends like web stores are emerging.
This article highlights key differences in UA strategies between gaming and non-gaming apps. Non-gaming apps focus on brand image, longer user lifecycles, and omnichannel approaches, while gaming apps prioritize immediate monetization, rapid user acquisition, and short-term performance. Understanding these distinctions is crucial for optimizing campaigns and resource allocation.
42% of adults over 50 play mobile games over an hour daily, with fun and relaxation as top reasons. Advertisers should use interactive ads in popular genres like card and match-3 to engage this growing audience.
Cannes Lions 2024 highlighted key trends: Gen Z marketing demands authenticity; AI shifts from theory to practical use in ad creation and buying; cookie deprecation pushes data clean rooms and AI for audience targeting; mobile gaming offers non-gaming brands new reach. AppLovin and Wurl emphasized cross-device connection. Practical advice: leverage AI for personalization and test mobile gaming ads.
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.
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...
AppLovin CEO Adam Foroughi refutes a short report questioning its e-commerce ad business and pixel practices. He highlig...
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...