GoogleGoogle

Channel performance and more reporting coming to Performance Max

By Janette Esala·Apr 30, 2025·3 min read

Summary

Performance Max introduces channel-level reporting, a top-requested feature giving advertisers granular visibility into performance across Search, YouTube, Discover, Gmail, Display, Search partners, and Maps. The new 'Channel performance' page includes a campaign-level summary, data visualization, and channel distribution table with metrics like clicks, conversions, and cost, which is downloadable. Diagnostics highlight issues (e.g., missing store locations on Maps, irrelevant landing pages on Search) with actionable fixes like enabling final URL expansion.

Full search terms reporting also rolls out, offering the same granularity as Search campaigns, enabling negative keyword application and brand exclusions. Enhanced asset-level reporting now includes impressions, clicks, and cost for more comprehensive optimization. Key data: over 90 quality improvements in 2024 drove >10% increases in conversions and conversion value.

This empowers ad ops decision-makers to balance overall performance with channel-specific insights, leveraging Google AI for real-time optimization across customer journeys.

You Might Also Like

AppsFlyerAppsFlyer

Unlock the value of web-to-app

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.

Shani Rosenfelder·May 15, 2025·12 min readRead article →
AppsFlyerAppsFlyer

Winning big with influencers: A comprehensive guide for app marketers

Influencer marketing drives app growth by building trust and authenticity beyond traditional UA. Budgeting should start with target markets, CPM benchmarks, and a 25% uplift in daily organic installs. Choose creators based on data: audience demographics, recent views, and content alignment. Measure performance with granular attribution links (e.g., AppsFlyer OneLink) to track installs, conversions, and ROI. Avoid vanity metrics; focus on CVR, retention, and long-tail effects. Start with small campaigns to gather benchmarks before scaling.

Marion Balinoff·Apr 7, 2025·12 min readRead article →
AdjustAdjust

How are LLMs transforming mobile user acquisition? | Adjust

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.

the content of the·Jul 8, 2025·6 min readRead article →
AppsFlyerAppsFlyer

Cross-platform measurement: the complete guide for 2026

Cross-platform measurement resolves the common problem of fragmented, device-level reporting that inflates ROAS and misallocates budgets. By unifying customer identity across web, mobile, CTV, and other surfaces, marketers gain a single view of LTV and attribution. AppsFlyer provides this via CUID stitching and Product Line grouping, enabling real-time, deduplicated insights without manual BI work. Key benefits include accurate cross-platform ROAS, elimination of duplicate attribution, and reliable data for AI-driven optimization.

Gil Bouhnick·Jun 23, 2026·12 min readRead article →
AppsFlyerAppsFlyer

Marketing attribution: what it is and how to measure it

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.

Shani Rosenfelder·Jul 9, 2026·15 min readRead article →
AppsFlyerAppsFlyer

I Built, Shipped, and Marketed a Mobile Game in 14 Days Using Only AI. Here’s What Actually Happened.

One person built, shipped, and marketed a mobile game in 14 days using AI tools, achieving 5,563 installs at $0.39 eCPI on $2,200 spend. MCPs (Model Context Protocol) were critical for agentic workflows. The AI agent CLAW managed ad campaigns via AppsFlyer MCP and BigQuery. Data Locker streamed raw data for analysis. Key takeaway: vendors must offer MCPs for fast, agentic data access; measurement stack (Data Locker, ROI 360, Creative Optimization) is essential for solo teams; human+AI beats AI alone.

Bobby Sayers·Jun 23, 2026·8 min readRead article →
TikTokTikTok

Introducing Symphony Agent | TikTok For Business Blog

TikTok's Symphony Agent is an AI-powered creative engine that helps advertisers produce trend-driven ads at scale. It powers Symphony Creative Studio for video generation from prompts, Content Suite for AI search of relevant creator videos, and TikTok One for streamlined creator matching and outreach. Key benefits include leveraging platform signals to generate authentic content, reducing manual effort, and enabling fast A/B testing. A limited offer provides ad credits for new SMB advertisers spending $100-$1500.

Symphony Agent·Jun 22, 2026·6 min readRead article →
AdjustAdjust

How AI is transforming personalization in mobile marketing | Adjust

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.

automating and predicting aspects·Jul 15, 2025·7 min readRead article →

More from Google