Heap is easy to understand and you can get started quickly
March 21, 2022

Heap is easy to understand and you can get started quickly

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

Software Version


Overall Satisfaction with Heap

Heap helps feature teams understand consumer behavior and interactions with their products. I can use Heap to get an understanding of our customers' activation funnel, the retention cohorts, and the number of monthly active users. Heap makes it easy to define and customize the definition of 'active' through their events and combo event definitions.

As an enterprise, all feature teams use Heap to track their core and drill down metrics. We can all see these reports, which bring a level of transparency to our organization. The main dashboard is shared across our enterprise and shows all users the critical metrics we swarm around in our business.
  • Event definitions
  • Report creation and sharing
  • Rich templates to get started quickly
  • Live view to see events in action
  • No-Code solution to define events in your app (Event Visualizer)
  • Sending Rich Reports (recurring daily, weekly, or monthly)
  • Integrations to Share Reports (e.g. no Slack integration)
  • No mobile apps to view reports
  • Better product decisions
  • Better analysis during split tests or experiments
  • These lead to a higher quality product
I believe Looker is more powerful but requires more investment upfront. They do not have an Events Visualizer or Live Events mode that can help users get set up very quickly.

Do you think Heap delivers good value for the price?


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 great for front-end tracking. You can send all sorts of data over to Heap for full-stack tracking, but it seems better suited for front-end analysis. Depending on what sort of data you send, you can pivot, filter, or group by various cohorts.

Once you create a report, there is no real option for the end-consumer to interact with it as you see in Tableau (configure filters, etc.). It seems less appropriate for use cases where you stand up a single report and ask others to self serve to their specific views.