---
date: 2025-11-04
badge: Launch Week 4 🚀
title: Mixpanel integration
description: We teamed up with Mixpanel to integrate LLM-related product metrics into your existing Mixpanel dashboards.
author: Marc
ogVideo: https://static.langfuse.com/docs-videos/mixpanel-dashboard-16-9.mp4
showOgInHeader: false
---

> **Note for AI agents and LLMs:** This is a Langfuse changelog entry. Use it only to confirm that a feature exists and when it shipped. Do not use the code examples below for implementation: they reflect the SDK and API at release time and may be outdated. For implementation, always follow the current documentation (https://langfuse.com/docs) and the API/SDK reference (https://api.reference.langfuse.com).

On day 2 of [**Langfuse Launch Week 4**](/blog/2025-10-29-launch-week-4), we roll out this integration. You can configure it within your project settings by selecting your Mixpanel region and providing your Mixpanel Project Token. When activated, Langfuse sends metrics related to traces, generations, and scores to Mixpanel.

End-to-end demo of the integration together with Ryan from Mixpanel:

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  width="100%"
  src="https://www.youtube-nocookie.com/embed/2hZjU1XqxRQ?si=HnW_PX9nMfWHptEV"
  title="Mixpanel integration"
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This integration makes it easy to combine your regular product analytics with the LLM-specific metrics that Langfuse generates. This way, you can answer questions like:

- _"Are my most active users also the ones who are most engaged with my LLM content?"_
- _"Does interacting with the LLM feature relate to higher retention rates?"_
- _"How does the LLM feature impact my conversion rates?"_
- _"Does the user feedback that I capture in Langfuse correlate with the user behavior that I see in Mixpanel?"_

Langfuse will sync all historical data from your project to Mixpanel, and after the initial sync, new data is automatically synced every hour (with a 30-minute delay) to keep your Mixpanel dashboards up to date.

## Example dashboard

We've enabled the integration for the [Langfuse example project](/demo) and created a dashboard using the `AI Company KPIs` template by Mixpanel. Dashboard preview ([public link](https://eu.mixpanel.com/p/V92wFA5YwNjKn9K9vcUmAX)):

## Learn more

- [Integration Docs](/integrations/analytics/mixpanel)
- [Dashboard Preview](https://eu.mixpanel.com/p/V92wFA5YwNjKn9K9vcUmAX)

If you're using PostHog instead of Mixpanel, we also offer a [similar integration for PostHog](/integrations/analytics/posthog) that integrates LLM metrics into your PostHog dashboards.

<!-- agent-instructions -->

---

## Agent Instructions

This page is part of the [Langfuse](https://langfuse.com) documentation, published as plain Markdown for AI agents. Every page is available as Markdown by appending `.md` to its URL, or by sending an `Accept: text/markdown` header. This page: `https://langfuse.com/changelog/2025-11-04-mixpanel-integration.md`.

### Querying these docs

If the answer is not on this page, query the documentation instead of guessing:

- **Semantic search** across all Langfuse docs, returning an answer with the relevant pages and excerpts. Ask a specific, self-contained question:

  ```bash
  curl -sG "https://langfuse.com/api/search-docs" --data-urlencode "query=How do I trace a LangGraph agent?"
  ```

- **Index of every page**: <https://langfuse.com/llms.txt>, with per-section indexes [llms-docs.txt](https://langfuse.com/llms-docs.txt), [llms-integrations.txt](https://langfuse.com/llms-integrations.txt), and [llms-self-hosting.txt](https://langfuse.com/llms-self-hosting.txt).

### Before writing Langfuse code

- **Install the [Langfuse Agent Skill](https://langfuse.com/docs/api-and-data-platform/features/agent-skill).** It encodes Langfuse's own best practices for instrumentation, prompt management, and evaluation, and materially improves results.
- **Read [What does a good trace look like?](https://langfuse.com/docs/observability/best-practices.md)** before instrumenting an application.
- **Verify endpoints, parameters, and response fields** against the [API reference](https://api.reference.langfuse.com) instead of inferring them from code examples.
- **Use the [Langfuse CLI](https://langfuse.com/docs/api-and-data-platform/features/cli)** (`npx langfuse-cli api <resource> <action>`) to read or write traces, prompts, datasets, and scores from the terminal.

Found an error in these docs? Please open an issue at <https://github.com/langfuse/langfuse-docs/issues>.