AI Overviews, one of Google's most successful Search launches, drives over 10% increase in usage for relevant queries in key markets like the US and India. Users are more satisfied and search more often, with commercial query volume rising. Starting today, Search and Shopping ads in AI Overviews expand to desktop in the US, with plans for English mobile and desktop expansion later this year.
Google also tests ads in AI Mode for complex questions. Advertisers using Performance Max, Shopping, and Search campaigns with broad match are eligible.
LLMs like ChatGPT and Gemini are reshaping mobile app discovery, with traditional search volume expected to decline 25% by 2026. These AI platforms act as answer engines, delivering direct app recommendations to users. For ad ops, this shift requires optimizing for LLM visibility through structured content and reputation management. While native ad formats are in early testing on platforms like Perplexity and Gemini, early adoption can secure high-intent placements. Marketers should track AI-driven traffic and align discovery strategies across ASO, SEO, and LLMs to stay competitive in an AI-first environment.
AI personalization is now essential for mobile marketing, with 71% of consumers expecting tailored experiences. This article outlines how AI enhances audience intelligence, creative personalization via DCO and GenAI, engagement timing, and measurement. Marketers should start small with focused A/B tests, prioritize user value, and collaborate across UA, CRM, and product. Key challenges include privacy, overpersonalization, and model bias. Adjust's Growth Copilot offers AI-driven analytics to streamline decision-making.
Web-to-app strategies boost conversions by 77% and achieve 13.6% average paying user rate. Brands like adidas saw 2.4x higher ROAS from deep-linked users, while AirAsia improved bookings by 19%. Key challenges include measurement gaps, siloed teams, and onboarding friction. Solutions involve Google Ads Web-to-App Install and Web to App Connect with AppsFlyer Smart Banners and deep linking. Actionable steps: set tracking, import conversions, activate smart bidding, and deep link users.
AI is now mainstream, with ChatGPT reaching 1B downloads and user prompts expanding beyond work into lifestyle categories like Health & Wellness. Apps across verticals (Health, Finance, Education) must integrate niche AI features or risk replacement. Competitors can leverage AI ad spend trends and App Store optimization to capture casual audiences.
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.
Google announces AI-powered ad innovations at Google Marketing Live, including AI Overviews ads on desktop and AI Mode, creative tools via Veo and Imagen, Smart Bidding Exploration for high-performing searches, and agentic capabilities for businesses. These updates aim to make ads more predictive, personalized, and effective, helping marketers capture opportunities in Search and YouTube.
Meta is investing in AI models like Andromeda to optimize ad performance. New omnichannel ads drive online and in-store sales, showing 15% lower CPA and 12% higher ROAS. Updates include simplified checkout for Shops ads, ads in Facebook notifications, and generative AI for virtual try-ons and text generation. Advertisers can request emails before promo codes and use site links on Instagram. These tools help capture demand and improve margins.
AppsFlyer now attributes AI-driven app traffic on both sides of the funnel: earned organic discovery across 8 AI answer engines (ChatGPT, Claude, Perplexity, Gemini, Grok, Copilot, Manus, DeepSeek) and 13 search engines, plus paid campaigns via a new ChatGPT Ads integration using OpenAI's Conversions API. For ad ops teams, the practical win is deduplication and incrementality: SEO and AEO performance can be viewed side by side, and paid versus organic splits on the same platform (e.g., ChatGPT) reveal the true lift of ad spend rather than cannibalized organic conversions. Setup is low-lift, leveraging existing OneLink, App Links/Universal Links, and Smart Script infrastructure, with no added cost.
Ad ops leaders face longer lead gen sales cycles and incomplete conversion visibility, making ROI attribution harder. Th...
This teaser signals that AI will be central to holiday campaign execution, with product updates and practical engagement...
Google’s Rethink Retail event recap features Ginny Marvin and Enric Durany discussing holiday retail ad strategies on Ad...
Google is expanding its measurement suite to turn first-party data into an AI-driven performance engine. Key updates: Da...
Media measurement tools often conflict, making strategy evaluation difficult. In Ads Decoded, Ginny Marvin and John Chen...
Demand Gen campaigns now deliver a 30% average uplift in conversions or conversion value, thanks to hundreds of improvem...