Google introduces agentic tools for marketers in Google Ads, Google Analytics, and a new Marketing Advisor in Chrome. The agentic expert in Ads offers personalized recommendations and can implement them automatically. Analytics gets proactive insights and easy data exploration.
Marketing Advisor, a browser-side panel, provides step-by-step guidance and can diagnose issues across Google properties. These tools reduce manual effort and help optimize campaigns.
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.
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.
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.
AppLovin CEO Adam Foroughi refutes a short report questioning its e-commerce ad business and pixel practices. He highlights rapid growth to a billion-dollar run rate, noting 80% of sales occur within 24 hours, proving incrementality. The pixel is standard, comparable to Meta and Google, and Shopify auto-appends data similarly. Foroughi emphasizes that the ad models are young but improving fast, and the web ad market offers massive opportunity. He urges investors to dig deeper and use AI tools to verify claims. The response underscores AppLovin's commitment to innovation and execution.
TikTok launches Agentic Hub, a marketplace for AI-powered advertising solutions built on TikTok for Business MCP. It connects AI agents to advertisers' tools, enabling automated campaign creation, management, analysis, and optimization. The ecosystem includes first-party and third-party AI skills from partners like HubSpot and Wix. Advertisers can reduce manual work, gain insights, and make data-driven decisions. A limited promotion offers ad credits for new SMB accounts spending $100-$1500 within 30 days, with restrictions on eligibility.
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.
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.
Agentic AI is shifting media buying from manual execution to strategic oversight. With 91% adoption of Google PMax and 88% of Meta Advantage+, goal-based automation is already standard. The next phase uses AI agents to handle targeting, bidding, and creative optimization in real time, freeing buyers to focus on outcomes, incrementality tests, and strategic bets. Key considerations: ensure AI has direct supply, robust prediction models, and clear optimization goals (install, ROAS, CPE, CPL). The future lies in cross-platform coordination and behavioral targeting, connecting ad spend directly to business value.
Holiday shoppers turn to video for authentic validation, with 94% of YouTube users taking further purchase steps after w...
YouTube's reach and frequency optimization for video campaign groups is now globally available in Google Ads, allowing a...
Google is adding a 'How this ad was made' section to My Ad Center, disclosing if an ad was AI-generated. For ads created...
New features for YouTube Video Reach and Video View campaigns include automatic inclusion of Shorts Ad Actions in budget...
YouTube's Demand Gen expansion now offers broader video aspect ratio transformations, AI-powered creative insights via G...
At Cannes Lions, Google announced new insights tools built with Gemini to enhance creator marketing on YouTube. Key feat...