> For the complete documentation index, see [llms.txt](https://docs.mediarithmics.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.mediarithmics.io/readme.md). # Home Find your way into the mediarithmics documentation: start with the section that matches your job, or look up a term in the glossary. This documentation explains how to use the mediarithmics platform: setting it up, collecting and modelling your data, building and activating audiences, collaborating with partners, and measuring what your campaigns did. It is organised around what you are trying to do rather than around the product's menus. Every section opens with a `Getting started` page that frames the jobs it covers, so the fastest way in is to pick the section that matches yours. ## Start here
If you are...Start with
New to mediarithmics, or setting up and operating an instanceSetup & Monitor
Building audiences and sending them to your toolsAudience & Activation
Working with a partner without sharing raw dataCollaboration
Proving what your campaigns didMeasurement & Attribution
Connecting a partner platformConnectors
Looking for a definitionGlossary
Checking what changed in the platformRelease Notes
## Explore by section
Setup & MonitorUnderstand the platform, plan your integration, collect and manage data, ensure privacy compliance, extend and operate your instance.https://app.gitbook.com/s/XSPACE_SETUP/
Audience & ActivationBuild, segment, and activate your audiences across all channels, from first-party data to contextual targeting and automated journeys.https://app.gitbook.com/s/XSPACE_AUDIENCE/
CollaborationCollaborate with partners using privacy-safe clean rooms: share datasets, analyze audience overlap, and measure joint campaigns without exposing raw personal data.https://app.gitbook.com/s/XSPACE_COLLABORATION/
Measurement & AttributionUnderstand the impact of your data: measure campaign performance, run A/B tests, and optimize with funnels and attribution.https://app.gitbook.com/s/XSPACE_MEASUREMENT/
ConnectorsIntegrate mediarithmics with advertising, CRM, personalization, and data platforms.https://app.gitbook.com/s/XSPACE_CONNECTORS/
Release NotesPlatform release history, changelogs, and the release process.https://app.gitbook.com/s/XSPACE_RELEASES/
## Look a term up The [Glossary](/glossary.md) indexes every concept used across this documentation. It is an index, not a second set of definitions: each term is described in a few words, with a link to the page where it is defined in full. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.mediarithmics.io/readme.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.