In the Ads Decoded Podcast, Ginny Marvin discusses with Firas Yaghi and Nadja Bissinger how retailers can adapt to AI-driven advertising. AI-powered shopping experiences like conversational AI mode, virtual try-ons, and shoppable CTV depend on accurate product data in Google Merchant Center. Incomplete or messy feeds prevent customers from finding products, so retailers must prioritize data quality.
Listeners gain actionable tips to refine their retail engine and drive sales.
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.
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.
Retail media networks report ROAS using different methodologies, causing up to 63% fluctuation across networks for the same campaign. This isn't a data quality issue but a structural one. Brands using multiple networks face a fragmentation tax where each network is its own source of truth, and budget decisions based on these irreconcilable figures are misleading. Independent measurement, applying the same attribution logic across all networks, is needed to reconcile data and enable confident cross-channel decisions. The signal infrastructure for this already exists from mobile measurement.
Google is testing new AI-powered ad formats in Search using Gemini models. Conversational Discovery ads answer specific queries with tailored creative, while Highlighted Answers surface relevant sponsored recommendations. AI-powered Shopping ads generate custom product explainers, and Business Agent for Leads provides real-time chatbot interactions. The Direct Offers pilot expands with promotion bundling, native checkout, and travel deals. 75% of users make faster decisions with AI Mode. These innovations shift ads from static listings to helpful, conversational experiences, building trust through independent AI explanations and clear sponsorship labels.
Google is introducing new ad formats powered by Gemini models for AI Mode in Search. These include Conversational Discovery ads, which answer specific user queries with tailored creative, and Highlighted Answers, which surface relevant ads within AI-generated recommendations. Additionally, AI-powered Shopping ads provide custom product explainers, and Business Agent for Leads offers chatbot interactions for lead generation. The Direct Offers pilot is expanding with promotional bundling, native checkout, and travel partner integration. For ad ops decision-makers, these innovations emphasize personalization, transparency with independent AI explanations, and seamless conversion paths.
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.
Analysis of 2022 World Cup mobile data reveals that the tournament's largest engagement window occurs early, with sports entertainment installs spiking 189% and sports news 204% on November 22. Engagement revolves around national team matches, with significant spikes from non-participating markets like China (+1,294% sports entertainment installs). For 2026, brands must adapt in real-time to shifting attention across matches and regions. Adjust's AI-powered attribution and analytics provide the visibility needed to capitalize on these global events.
AI-driven disruption is reshaping consumer journeys, with 67% of marketing leaders expecting high impact. Brands risk losing direct customer access as 14% of shoppers start with chatbots and 80% of AI overview searches end without clicks. Key action: prioritize owned surfaces like mobile apps to build direct relationships and capture first-party data, which 77% of leaders are doing. Balanced channel investment is critical.
Local Services Ads (LSAs) for real estate are expanding across all 50 U.S. states, offering richer home listings with pr...
YouTube receives MRC brand safety accreditation for the sixth year, now expanded to include YouTube Shorts. This makes Y...
The Ads Decoded podcast final episode features Google product teams discussing Gemini models for Search and YouTube, plu...
Google Display Ads is transitioning into a unified Demand Gen platform, allowing display advertisers to manage GDN prese...
Google is introducing new ad formats powered by Gemini models for AI Mode in Search. These include Conversational Discov...
Google is testing new AI-powered ad formats in Search using Gemini models. Conversational Discovery ads answer specific ...