mParticle's new integration : Looker

  • 28 March 2022
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This content, written by Yuan Ren, was initially posted in Looker Blog on Dec 16, 2015. The content is subject to limited support.

We’re excited to announce that our integration with Looker is now live!

Looker is a BI platform with a mission to bring better insights and data-driven decisions to every level of an enterprise. Looker’s revolutionary modeling language, LookML, enables you to implement your business logic and data transformation procedures in a flexible and reusable way. Looker's integration with Github also makes it extremely easy to manage your BI projects.

You can now set up your dedicated Redshift cluster through mParticle, connect your Looker account to it, and start analyzing your app data and get insights. mParticle has worked with Looker to build a set of dashboards that provide insights to various aspects of your app, including common app activities, eCommerce, audience segments effectiveness, and app version monitoring.

  • App activity dashboard. This dashboard gives you an overview of most common app activities, including active user count, new user count, session count, average session length, revenue data, custom funnel analytics, and user retention analysis.

  • Audience dashboard. This dashboard reports how effective an given audience is, comparing users in the audience to other app users. When looking at this dashboard, please make sure you provide a valid audience ID wrapped in quotes in the audience membership filter, e.g., "1234". You can get the audience ID from mParticle UI.

  • eCommerce dashboard. This dashboard offers insights on revenue generated from your apps, e.g., which user acquisition channels gives you the most valuable users, how does total revenue and average revenue per user change over time, how do users' purchase behaviors change over the course of a day, and where do users drop off in the purchase funnel.

  • App version dashboard. This dashboard tells you how much a new app version has changed your app performance, e.g., has a new app version improved user retention, or increased revenue per user, or increased average session length, etc.

Please refer to Looker's post for details, and you can access mParticle's Looker Blocks® implementation by reaching out to your assigned Looker analyst or request a Looker . Also, if you have any questions on data in Redshift or need suggestions on how to query some specific piece of data, we are always here to help!

For more information about mParticle or our latest integrations, drop us a line at

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