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.
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.
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.
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.
Meta AI introduces new features to help small businesses optimize ad campaigns and content. It integrates with Instagram/Facebook analytics, Meta Ads, and Google Workspace to provide insights, audit and benchmark campaigns, and auto-generate reports and decks. Available across web, mobile, desktop, and Mac apps, it includes screen sharing and dictation. Ad ops teams can leverage AI-driven recommendations for organic and paid content, recurring tasks, and competitive benchmarking, streamlining decision-making and growth.
Performance Max, an AI-powered campaign launched in 2021, now enables marketers to generate text and image assets in seconds using AI. New features include asset generation, image editing, and campaign-level brand exclusions. All generated images are watermarked with SynthID for transparency.
Gemini AI now powers Google Ads' conversational experience, helping advertisers create better Search campaigns. Small businesses are 42% more likely to achieve Good/Excellent Ad Strength, correlating with 12% more conversions.
Will Frank of Laura Geller describes their Meta ad account as an ecosystem where creative, media, offers, and channels interact. Key insights for ad ops leaders: build a constant creative pipeline to feed AI-driven delivery, test with patience as value optimization took three weeks to show conversions, use AI to automate reporting and pressure-test hypotheses, and focus on system architecture rather than manual targeting. Their multi-touch attribution, MMM, and incrementality testing form a 'suite of truth' to validate performance. The marketer's role is shifting to strategy and AI stewardship.
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