https://store-images.s-microsoft.com/image/apps.8841.93c9ea74-c561-41d8-be2d-ce4f0acde6f9.e217f7c4-4a6a-423d-bfc0-deb4113eb7f8.636c27c1-fa6a-45c8-abf3-d81650288eec

BI Pixie (Enterprise version) - Engagement metrics for Power BI

by DataChant

BI Pixie - know your BI audience and measure engagement, adoption & user satisfaction

BI Pixie is an innovative solution that tracks and analyzes the engagement of your Power BI audience. With BI Pixie, you can track much more than the default page views offered in Power BI usage metrics. BI Pixie tracks user interaction, session duration, interactions per session, slicing activity including column names and selected values, clicked bookmarks and hyperlinks, drill-throughs, tooltip views, and more. With BI Pixie you can automatically add thumbs up/down or smile/frown buttons in your reports to collect user satisfaction from your BI audience. Analyze your BI portfolio with best-of-breed user adoption and attrition key performance indicators (KPIs) such as DAU, WAU, and MAU (daily/weekly/monthly active users) with built-in time intelligence. BI Pixie's robust analytics help you get a clear understanding of your BI audience and the effectiveness of your reports. You can drive informed decisions on your future BI investments by looking at the effectiveness of your current investments.



What's New in this Version:

  • In the new Heatmap page, you can learn where users click and where they don’t. The Visual Clicks Heatmap shows you all the visuals in your tracked reports by their exact location, their number of clicks and the selected dimensions users clicked on.
  • BI Pixie can read information from your Power BI service and allow you to analyze report efficiency at the capacity and workspace level.
  • The app visuals include hyperlinks to specific workspaces, reports or pages, allowing you to easily navigate from BI Pixie app to the actual reports that need improvements.
  • In the new Design Changes page, you can analyze the timeline of design changes and how they affect the levels of engagement.
  • You can now measure the engagement of your reports at the shared semantic model aggregate level.

Latest Features:

  • BI Pixie was featured by Microsoft in Power BI September Feature Summary.
  • BI Pixie can add thumbs up/down or smile/frown buttons in your reports to collect user satisfaction from your BI audience.
  • BI Pixie includes a new page to analyze how the design of your reports impacts user engagement. Using new Complexity, Usability and Passivity scores you can identify the reports that require optimization in their design.
  • You can deploy Event Hubs to meet higher scale and enable real-time use-cases (If you opt-out Event Hubs, events will be passed to the storage account via the storage queue).
  • BI Pixie can run Git pull and push of Power BI reports from multiple workspaces that are integrated with Git and can report Git folders as workspaces in the events.


BI Pixie is designed to support enterprise BI teams:

  • The data that is tracked never leaves your organization
  • The solution can be deployed in minutes and track thousands of reports
  • The solution can track engagement from any platform (Power BI service, Power BI Desktop, Power BI Mobile, Power BI Embedded, Publish to web, Power BI Report Server)
  • No use of custom visuals. The solution uses built-in Power BI building blocks
  • The deployment is super-easy and doesn’t require coding skills


This app provides the analytics and data visualization layer for BI Pixie Enterprise deployment version. It requires an Azure Data Lake Storage Gen2 account where you store the usage and engagement events that are tracked by BI Pixie. Go to Azure Marketplace and deploy BI Pixie's serverless event collection component.


The Starter version of the app is available on AppSource here, if you prefer to store the events in Microsoft Dataverse.

Start the trial today.

At a glance

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https://store-images.s-microsoft.com/image/apps.30058.93c9ea74-c561-41d8-be2d-ce4f0acde6f9.977de9b9-2e15-4378-88b1-75f3485da968.15cd8b12-cfae-4a94-9fd7-28627477cc5e