Google Ads announces AI-powered updates at DMEXCO to improve ad performance and ROI. Key updates include: 1) Gemini models expand Search campaign conversational experience to German, French, Spanish. 2) AI image editing expands to Search, Demand Gen, App, Display campaigns; asset generation adds 6 languages.
3) New brand controls: reference images, brand guidelines for Performance Max, Demand Gen creative preferences. 4) Performance Max gains creative reporting, asset coverage insights, impression share reporting, and unified performance insights with target pacing. 5) Campaign-level negative keywords beta for Performance Max, omnichannel bidding beta for Demand Gen, and Display & Video 360 support.
These tools aim to give advertisers more control and better results.
First-party data, collected directly from users with consent, is crucial for marketers due to privacy regulations limiting third-party data. It enables accurate personalization, compliance, and cost savings. Key steps include ethical collection, maintaining clean data, and using it internally for product/marketing optimization and externally via commerce media networks.
This guide helps app marketers select a Mobile Measurement Partner (MMP) by covering essential features like privacy-first measurement, unified attribution, fraud protection, and advanced analytics. It emphasizes choosing an MMP that integrates easily, scales with business growth, and provides reliable data for optimizing marketing ROI across teams.
Video Action Campaigns will upgrade to Demand Gen in Q2 2025. Advertisers adopting multi-format strategies see 20% more conversions. Demand Gen offers expanded reach, creative storytelling, and Lookalike segments. Follow the upgrade timeline for smooth transition.
New Performance Max features include conversion metrics, YouTube placement reporting, brand safety tools, and AI image editing for removing objects, expanding backgrounds, and cropping.
A/B testing on Google Play and App Store optimizes app listings. Google tests icons, descriptions, graphics; Apple tests icons, screenshots, videos. Both improve conversion and retention but have limitations like single-variable focus and lack of post-install data. Adjust enhances analysis with attribution and analytics.
Meta’s Advertising Week New York updates center on AI-driven campaign automation and faster creative production. Ads Creative Studio is expanding with performance insights. Meta AI business assistant gains creative insights, deeper business memory, and agentic abilities to plan, create, optimize, and schedule tasks, with advertiser permissions and approvals. AI-enabled audience discovery arrives in Detailed Targeting, and Customer Lifecycle Strategy helps prioritize new customers. Generative AI video expands for static assets, catalog product video, and smart recommendations. Direct checkout tests launch in Meta Business Agent on Messenger, Meta AI, and Muse. For ad ops, these tools promise efficiency, but governance and testing remain critical.
Non-gaming apps can reduce CAC by advertising on gaming platforms, reaching 3.3 billion monthly players. Creative formats like playable and rewarded video ads boost conversions. Key challenges include identifying high-value users and allocating sufficient budget for algorithm optimization. Successful examples include Buddy AI and food delivery apps.
AppsFlyer’s 2026 creative data shows video and static image ads reward opposite creative qualities, so ad ops teams should plan, budget, and test them separately. Video spend is concentrating: gaming’s top 2% of video creatives captured 60.7% of spend, up from 53.5%, while image spend spread out. Top spenders are testing far more variations, widening the testing gap. Action/Strategy and Puzzle/Lifestyle show format-specific tone and social-proof reversals; Finance is the exception. Teams should use AI-assisted variation, analyze video winners deeply, keep broad image testing, and measure performance at attribute level.
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