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Measure Protocol

Measure Protocol is a behavioral data company capturing what people do on their devices, not what they say they do. It's permissioned data lake holds 2.3 trillion behavioral signals across Google, Meta, TikTok, Amazon, ChatGPT, and other closed platforms. This cross-platform visibility powers Measure Data, Measure Outcomes, Measure Predict, and Measure Labs, serving media companies, brands, and analytics teams including Google, Meta, Netflix, and the UK’s three largest commercial broadcasters th

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llms.txt
https://www.measureprotocol.com/llms.txt
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Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-19T10:45:22.201Z
Last checked
2026-10-21T21:49:33.269Z
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The beginning of the file, from our validated copy saved 2026-10-21T21:49:27.917Z. Cached copy · Source on measureprotocol.com

# Measure Protocol

> Measure Protocol is a behavioral data company capturing what people do on their devices, not what they say they do. It's permissioned data lake holds 2.3 trillion behavioral signals across Google, Meta, TikTok, Amazon, ChatGPT, and other closed platforms. This cross-platform visibility powers Measure Data, Measure Outcomes, Measure Predict, and Measure Labs, serving media companies, brands, and analytics teams including Google, Meta, Netflix, and the UK’s three largest commercial broadcasters through Project Lantern.

## Core pages
- [Measure Protocol](https://www.measureprotocol.com/): Homepage with product overview, capabilities, and FAQ.
- [Insights](https://www.measureprotocol.com/insights): Articles on measurement, media, and marketing analytics.
- [Articles](https://www.measureprotocol.com/articles): All insight articles, newest first.
- [Reports](https://www.measureprotocol.com/reports): Research reports and slide decks.
- [About](https://www.measureprotocol.com/about): Company background and team.
- [Contact](https://www.measureprotocol.com/contact): Get in touch with Measure.

## Products
- [Measure Data](https://www.measureprotocol.com/data): Permissioned behavioral streams, models for journeys and personas, multi-touch outcomes, and delivery into your BI and research workflows.
- [Measure Outcomes](https://www.measureprotocol.com/outcomes): Multi-touch TV and video outcomes: exposures linked to search, scroll, social, browse and purchase—beyond single-tag web or retailer metrics.
- [Measure Predict](https://www.measureprotocol.com/predict): Behavior-first GenAI, search and app visibility: usage mapping, intent classification, journey links and scoring—beyond classic search or on-site analytics alone

## Insights
- [How Do You Measure the Behavioral Impact of an AI Customer Experience?](https://www.measureprotocol.com/insights/how-do-you-measure-the-behavioral-impact-of-an-ai-customer-experience): Measuring an AI customer experience requires more than tracking usage and satisfaction. Discover how behavioral data helps businesses examine downstream customer actions, understand wider journey patterns, and distinguish observed associations from causal effects when evaluating AI-driven experiences.
- [Is Customer Journey Mapping Sending Your Marketing Budget to the Wrong Touchpoints?](https://www.measureprotocol.com/insights/is-customer-journey-mapping-sending-your-marketing-budget-to-the-wrong-touchpoints): Customer journey mapping can misrepresent the consumer journey when visible touchpoints receive more attention than other parts of discovery and comparison. Explore how permissioned behavioral data helps researchers test journey assumptions, identify overlooked interactions, and build a stronger evidence base for marketing decisions.
- [Can a Behavioral Data Platform Reveal When Your Consumer Data Tells the Wrong Story?](https://www.measureprotocol.com/insights/can-a-behavioral-data-platform-reveal-when-your-consum
…

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