The article discusses the strong recovery and growth of mobile advertising in Q4 2023, particularly for publishers using AppLovin's MAX platform. Key insights include: Year-over-year, daily active viewers (DAV) grew over 7% in tier 1+ countries, and average ad impressions per user increased by 7%. While downloads grew only 3% due to limited new title marketing, revenue surged due to higher ARPDAU and eCPMs. For example, US ARPDAU in November averaged 7% higher YoY, and hybrid casual game revenue on Thanksgiving weekend jumped 23%.
eCPM growth is a major driver. Android CPM rose 33% from July to Thanksgiving, outpacing 2022 trends, while iOS CPM grew 13% versus 9% last year. These gains are attributed to AI advancements improving ad performance, higher bids from in-app bidding (now over 60% of revenue vs 40% last year), and increased advertiser spend. The article emphasizes that this creates a virtuous cycle benefiting the entire mobile ecosystem, with AppLovin playing a key role. Publishers are advised to capitalize on elevated engagement and CPMs during the holiday season, particularly by optimizing for in-app bidding and leveraging AI-driven ad solutions.
New generative AI features in Performance Max, powered by Gemini and Imagen 2, help create high-quality assets. Ad Strength now emphasizes asset variety. Integration with Canva and improved video auto-generation boost campaign performance, with up to 12% more conversions from videos.
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.
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.
Gen AI apps have become the primary growth engine of the non-gaming market, with revenue surging 232% YoY to $6.1 billion between Q2 2025 and Q1 2026. The US leads with 38% of global revenue, while Japan and Korea emerge as key growth markets. AI Assistants are increasingly concentrated, with ChatGPT dominating, but vertical segments like AI Companions, AI Agents, and AI Image & Video offer fragmented, high-growth opportunities. Lessons from Plaud highlight success through vertical focus, deep localization, and precision advertising. For ad ops, targeting vertical AI segments and localized user acquisition strategies present significant opportunities.
AI is reshaping digital advertising as platforms like ChatGPT and Gemini become new discovery channels. Key findings: ChatGPT ad impressions surged 7x since March 2026, and AI-related ad spend tripled in Q1 2026. Early advertisers are concentrated in Shopping, Software, Travel, and Financial Services. AI assistants drive referral traffic to retailers, with Walmart and Target exceeding 1.5% GenAI share. Competition among AI platforms is intensifying, with Claude gaining professional users. For ad ops, integrating AI into media plans and optimizing for AI-driven discovery is critical.
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.
Mobile market outlook is optimistic with smartphone sales rebounding and gaming revenue growing 4% in 2024. Marketers get bigger budgets using AI, but face privacy and competition challenges. Key reports provide data on ad trends, gaming benchmarks, and subscription insights.
AppLovin's Q4 2023 updates focus on SDK privacy compliance (UMP, Privacy Manifest), Mediation Debugger, and Ad Review for native ads. Q3 introduced AI-driven UA campaigns, Google CMP prep, and Godot/Unreal plugins. Q2 brought Google Bidding for all, CTV advertising, and A/B testing. Q1 added new bidders, native ad support, and A/B test improvements. These features help optimize user acquisition and monetization.
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