A fintech company faced challenges optimizing customer acquisition cost (CAC) due to a 3-day purchase data latency. Using AppDiscovery, they set realistic CAC targets based on proxy events (early, low-latency purchase signals) to optimize targeting. They deployed a multi-campaign strategy (CPP, CPE, ROAS) to balance short-term engagement and long-term ROI.
Sparklabs extended video ads to 30 seconds, increasing viewer engagement and install rates. Results: CAC stabilized, efficiency improved 30%, and install rates tripled. Key takeaways: leveraging AI for proxy events can overcome data latency; mixing campaign types balances metrics; longer, engaging creatives boost performance.
AppDiscovery proves effective for fintech and non-gaming apps.
AI is accelerating mobile app growth, reducing goal achievement from months to two weeks via AppDiscovery. Privacy-centric measurement tools like Adjust are crucial. Panelists shared how AI optimizes UA campaigns and creative production, emphasizing human insight alongside AI.
AppsFlyer MCP connects Claude directly to live attribution data, replacing manual reporting and CSV exports. Gaming teams catch budget anomalies overnight, finance teams compress multi-hour analysis into minutes, and e-commerce teams close the gap between measurement and spend decisions. Setup takes under 60 seconds, enabling real-time queries on channels, cohorts, and ROAS. The key insight is that AI-powered analysis requires live data connections, not stale exports.
AI is reshaping consumer behavior, with 80% of Google searches ending without a click and half of consumers using AI for product research. This disrupts traditional channels like search (CPC up 10-25%) and affiliate marketing (revenues down 7%). Meanwhile, mobile apps and CTV offer stable, high-engagement alternatives. Advertisers should diversify away from disrupted channels, targeting the independent app ecosystem where Day 30 ROAS can be 116% higher. Key metrics: organic direct traffic share (target >51%) and disrupted channel spend share (target <34%).
AI integration in ad creative workflows boosts efficiency and expands creative possibilities, akin to the shift from paper to digital. SparkLabs tripled AI use for concepting and production. Cross-genre mechanics and CTV ads offer new engagement avenues. Fostering an adaptable team culture is crucial for leveraging AI effectively.
WWDC26 focused on AI, with minimal changes to iOS attribution. Apple introduced Foundation Models, Core AI, and App Intents updates, but no significant AdAttributionKit or SKAN updates. For ad ops, this means continuity in measurement strategies. Key AI announcements include Siri AI, Xcode 27 agentic coding, and cross-developer subscription bundles. The lack of attribution changes provides stability for teams optimizing existing iOS measurement approaches.
Mobile app industry is recovering strongly, projected to reach $500B in 2024. In-app bidding drives growth, with SDK bidding adoption accelerating. AppLovin's MAX platform supports 35+ networks, enabling fair auction competition. Publishers increase ARPDAU, advertisers gain better targeting. Key advice: embrace bidding transition for long-term revenue gains.
A creative strategy is essential for mobile app marketing success. It combines compelling content with strategic planning to increase app installs and engagement. Key steps include defining objectives, understanding your audience, and setting KPIs. Best practices emphasize consistency, agility, and leveraging AI for optimization.
AI assistants like ChatGPT, Gemini, and DeepSeek are reshaping web discovery, with traffic surging 86% YoY. Mobile now accounts for over half of global visits, yet desktop dominates engagement. Search and social remain dominant discovery channels, but AI users convert at higher rates (e.g., Amazon Rufus shoppers convert nearly 2x). For ad ops, optimizing for AI-driven traffic and cross-platform user behavior is critical.
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