A solid tool for product analytics
March 19, 2022

A solid tool for product analytics

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Software Version


Overall Satisfaction with Heap

Heap is used by many people on the product team weekly to get more insight into how users are interacting with our products. We constantly use Heap to answer questions like What % of users took X action? How does taking that action impact conversion? How long does it take users to take that action? How frequently are users taking the action? Where are users coming from and how does this impact conversion? Heap has recently made several big updates to their product that have made these questions much simpler to answer. Now users can easily filter on event properties as they are creating a report and you can still easily define new events. We mostly use Heap with our custom Segment events, but also occasionally use the native auto collection feature to get us out of a bind - it's nice to have the flexibility of using multiple sources.
  • Funnel analysis
  • Segmenting users based on prior behaviors
  • Automated threshold alerting
  • Optional events in funnel analysis
  • Data dictionary/validation
  • Sophisticated filtering and reporting with formulas
  • Improvement in conversion rate
  • Improved NPS/CSAT
I'd say Heap is a simpler version of Amplitude. It does ~70% of what Amplitude does. If you're looking to go deeper with product analytics, it's hard to beat Amplitude.

Do you think Heap delivers good value for the price?

Not sure

Are you happy with Heap's feature set?


Did Heap live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Heap go as expected?

I wasn't involved with the implementation phase

Would you buy Heap again?


Heap is really well suited to simple to moderate analysis. It's a breeze to get quick answers to relatively simple questions on a simple product funnel, and I'd highly recommend the product if that's what you're looking for. If you're looking to do more sophisticated analysis related to time, calculated values other than a simple average, or deeper analysis on usage frequency/return user behavior; you may want to look elsewhere.