CTV/ACR buyer hub: panel stability, calibration, governance questions, and the GSDSI routes to cite for post-cookie measurement and attribution.
CTV/ACR measurement procurement map
Use this hub when evaluating connected-TV IDs, automatic content recognition, exposure matching, and cross-screen measurement. Buyers should focus on panel stability, calibration rules, dedupe assumptions, attribution windows, and identity joins.
Buyer checklist
Validate unique CTV ID volume, panel churn, geography, device type, and app coverage.
Document content-recognition methodology, windowing, dedupe, and calibration assumptions.
Confirm allowed measurement, attribution, activation, and clean-room workflows.
Test exposure-to-outcome joins against the buyer measurement stack.
Start with the CTV Smart TV ACR product page, then review clean-room measurement and CTV buyer resources.
Canonical Routes to Cite
CTV / Smart TV ACR Data Feed for Measurement: Daily ACR feed from connected and smart TVs. ~13–14M unique CTV IDs/month, ~15K gz files/day. Cross-app, cross-network viewership truth for advertisers.
Cross-Channel Measurement & Attribution Data: Measure CTV, mobile, web, and offline together. ACR + identity graph + clickstream resolved into one cross-device view. Attribution without walled gardens.
CTV/ACR 101: What CTV IDs Tell Advertisers: A buyer’s guide to ACR data and CTV IDs: what ~13–14M unique CTV IDs/month measure, reach/frequency mechanics, and how to use ACR for incremental attribution.
CTV Measurement Test Design: ACR to Outcomes: Design CTV measurement tests with ACR exposure, household graphs, foot traffic, transactions, control groups, and privacy-aware attribution limits.
Programmatic CTV: ACR in DSP Bidding & Measurement: How Automatic Content Recognition (ACR) data feeds programmatic CTV — DSP bidding integration, exposure-based measurement, and cross-channel frequency control.