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Destinations

Avo x Posthog

Avo integrates seamlessly with Posthog.
Ensure your team can trust your Posthog data to make product decisions.

How do Posthog and Avo work together?

Posthog and Avo go together like toast and avocados. Use Avo to collaborate on your tracking plan with your team. You can design exactly how your events and properties should look, before they are implemented and sent to Mixpanel.
With Avo, developers get detailed instructions on how to implement Posthog events and tools to validate that the implementation is according to spec.
USE CASES

Understand the state of your Posthog implementation

You can use the Avo Inspector to get a report of the state of your current Posthog implementation and alerts for new issues. Use the report to prioritize issues to fix using the branched workflows in Avo.

With Inspector you get alerts on new issues in the data sent to Posthog. That way you’ll never miss important issues in your data like when an unexpected event or property is accidentally pushed to your production Mixpanel project.

Learn how to get the current state of your Posthog implementation ->

Collaborate with your team on your Posthog tracking plan

Avo is the single source of truth for your Posthog tracking plan, that replaces the typical tracking plan spreadsheet. Folks from data, product and engineering use the branched workflows in Avo to collaborate on designing metrics to visualise in Adobe Analytics and the event structures needed to build the charts.

Include descriptions and screenshots with your events to help your entire organization understand what the Posthog data means.

Learn how to manage your Posthog tracking plan ->

Never doubt your Posthog data again

Avo generates implementation instructions and type-safe code based on your tracking plan and provides validation tools. That makes sure your tracking plan is always in sync with implementation and Posthog events are implemented exactly as planned.

That way you can trust that your Posthog data is correct and can confidently make decisions based on it.

Learn how to reliably implement and validate your Posthog data ->
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