> For the complete documentation index, see [llms.txt](https://docs.millimetric.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.millimetric.ai/recipes.md).

# Recipes

- [Overview](https://docs.millimetric.ai/recipes/recipes.md): End-to-end worked examples for the things people actually want to do.
- [Track a signup funnel](https://docs.millimetric.ai/recipes/signup-funnel.md): A full signup funnel — pageview, CTA click, form view, signup, activation — with drop-off queries.
- [E-commerce events](https://docs.millimetric.ai/recipes/ecommerce.md): A standard e-commerce taxonomy with revenue and AOV queries.
- [Marketing attribution dashboards](https://docs.millimetric.ai/recipes/marketing-attribution.md): First-touch vs last-touch, the FB social-vs-paid split, channel ROI.
- [Server-side events from a backend](https://docs.millimetric.ai/recipes/server-side.md): When to track from your backend, how to thread anonymous\_id, and patterns for batching.
- [Link anonymous → known users](https://docs.millimetric.ai/recipes/anonymous-to-known.md): Stitching pre-login activity to the post-login user, including multi-device.
- [GDPR right-to-be-forgotten](https://docs.millimetric.ai/recipes/gdpr-delete.md): A complete /v1/forget flow including audit-trail patterns and what doesn't get deleted.
- [Funnel & retention analysis](https://docs.millimetric.ai/recipes/funnels.md): SQL templates for n-step funnels, day-N retention, and time-to-event.


---

# 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 dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.millimetric.ai/recipes.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.