In an AW360 Podcast interview, Andrey Kazakov, VP of Revenue for Non-Gaming at AppLovin, emphasizes the necessity of diversifying media mix beyond traditional social and search channels to overcome growth bottlenecks. He highlights the advantages of partnering with a large, established network like AppLovin, which offers not only reach and efficiency but also comprehensive services including fully managed campaigns and creative production by SparkLabs. This holistic approach is crucial for long-term success and scalability, especially for non-gaming advertisers.
Kazakov underscores the transformative role of AI in mobile marketing, noting that automation enables more cost-effective pricing and broader reach, allowing advertisers to achieve superior results and reinvest in growth. He cites real-world success stories from clients like DealDash and Mode Mobile, which illustrate the concrete benefits of leveraging AI in digital marketing strategies. Looking ahead, Kazakov predicts that AI and other innovative technologies will significantly change approaches to mobile advertising in 2024 and beyond, driving efficiency and scalability.
He urges marketers to rethink their strategies and embrace diverse media mixes powered by advanced technology.
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.
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.
Mobile market rebounded in 2023 with record $171B consumer spend. Apps drove growth at 11% YoY to $64B. Generative AI exploded 7x. Travel apps surged 13%. Mobile ad spend reached $362B.
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.
At MAU 2026, the industry agreed that attention, not production, is the bottleneck. Cross-platform web-to-app attribution is now achievable with AppsFlyer's mobile-grade measurement extending to web, giving ad ops a unified view. AI is in production, with Square's team shipping six live workflows. Web-to-app is the most efficient top-of-funnel for app businesses, and retention overtakes acquisition. Ad ops must prioritize clean signal layers and incrementality testing over single-metric attribution.
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.
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.
In 2025, AI agents will automate ad production and UA, reducing personnel needs. Privacy concerns persist despite Google's cookie reversal, driving contextual targeting and new identifiers. Advertisers will explore CTV and in-app inventory via cost-per-outcome deals. M&A activity ramps up, with deal volume up 118% YoY. AI-generated creative becomes crucial as targeting narrows, enabling scalable, varied ad creatives.
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