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PARTNERS

Avo x mParticle

Avo integrates seamlessly with mParticle.
Ensure your team can trust the data that flows through mParticle.

How do mParticle and Avo work together?

mParticle 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 mParticle events and tools to validate that the implementation is according to spec.
USE CASES

Understand the state of your mParticle implementation

You can use the Avo Inspector to get a report of the state of your current mParticle 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 mParticle. 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 mParticle implementation ->

Collaborate with your team on your mParticle tracking plan

Avo is the single source of truth for your mParticle 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 for example visualise in your analytics tool or trigger campaigns in your messaging tool – and the event structures needed to build the charts.

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

Learn how to manage your mParticle tracking plan ->

Never doubt your mParticle 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 mParticle events are implemented exactly as planned.

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

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