Best tool for fast moving product cycles
April 29, 2021

Best tool for fast moving product cycles

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

Software Version


Overall Satisfaction with Heap

Heap is used across analytics, product, engineering, marketing, and operation departments at my current company. We leverage Heap to observe user activities, to discover the user acquisition sources, to instrument web analytics events for reporting, to identify product optimization opportunities, to detect product bugs, and to identify fraudulent behaviors.
  • Engineering-light web analytics event instrumentations
  • Transparency of web analytics events
  • Sufficient integration options
  • Retro analysis
  • Limited BI options
  • Lack of visibility into report modification histories
  • Lack of privilege options
  • Difficult to manage / organize analytics assets
  • Discover product bugs that unlocked the funnel conersion
  • Detect bot activities on site that prevented companies from risky actions
  • Helped analytics to identify and quantify product improvement opportunities that led to increased revenue
It is mostly easy to use for high level information about users and their activities. The tool is lacking easy higher dimension segmentation analysis. Often we aggregate data collected by Heap on the backend to serve our exact analytics needs when the UI is insufficient.
Speed has always been great.
Comparing to Mixpanel and Amplitude, the retro analytics option and the engineering light event implementation functions that Heap provides were crucial.

Comparing to FullStory, Heap analytics BI options and the data complexity were the reasons.

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Sisense for Cloud Data Teams (formerly Periscope Data), Snowflake, FullStory
Heap works well when users have good basic knowledge about how web content works. It is harder for less technical users to feel comfortable to start using it.