Product analytics should be reliable and complete
Reliable and complete data
Good products are built on a foundation of trustworthy data. Product teams choose Heap over Mixpanel because Heap gives teams complete, flexible product data that’s instantly accessible to everyone in the org.
Traditional data capture is too brittle
Autocapture
In a traditional data model like Mixpanel’s, collecting data means multiple steps and many stakeholders: you have to decide what events to track, get engineers to add tracking code, set up a tracking spreadsheet, wait for data to roll in, re-instrument tracking when your site changes, and hope that nothing breaks. Even then, there’s no guarantee you’ll get the data you need.
With Heap, there are no holes in your data. You can capture everything and be endlessly flexible in how you examine the data. You get a verifiable, trustworthy data set out of the box, with minimal ongoing maintenance and no need for engineers.
Democratize your data
Democratize your data
Because tools like Mixpanel require manual tracking, using them requires individual PMs to go back and forth with engineers to make sure they’re capturing information on the events that matter to them. Heap offers a different model.
With Heap, a single PM (or analyst, or a different role) can set up events in Heap and give everyone in the org immediate access. Our Data Trust Center means that teams can easily control their data, distribute access, and keep everything reliable, with zero loss of flexibility for end users.
With Heap, teams get control, reliability, and democratization. Despite Mixpanel’s bells and whistles, it provides none of these.
Heap vs Mixpanel for Product Analytics
See how we compare on key features
Why Casper switched to Heap
I simultaneously installed the Mixpanel, Amplitude, and Heap scripts. Ten minutes later, we’re getting all of this data in Heap, and nothing in the others. Heap just worked.
Alan D’Souza
Director of Product Analytics, LendingClub