Great for startups and early stage companies - Evolving to a real powerhouse in the analytics world
October 25, 2022

Great for startups and early stage companies - Evolving to a real powerhouse in the analytics world

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Software Version


Overall Satisfaction with Heap

We use Heap as our web analytics platform and our App analytics platform. Our use cases cover everything one should use web analytics for including conversion analysis, experience metrics, engagement, experimentation evaluation, marketing analytics, and more. We also use it for minor monitoring purposes alerting on significant swings in metrics. Pathing and funnel analysis are additional use cases. The business problems are typical, which channels convert in what ways, where is fallout, which of our a/b tests are winning, does that vary between device types and other segments, etc.


  • Low to no code tagging - The easiest I've encountered
  • Fast insight
  • Breakouts of the data
  • Alerting (daily or larger)
  • Making product improvements
  • Roadmapping to replay integrations


  • Data granularity and export could be improved at large quantities
  • Dashboards are good but could use more features and flexibility
  • Pathing can be difficult to use
From a startup perspective, Heap is one of the best and fastest ways to go from 0 analytics to nearly all of what one would need with the least amount of effort. It's faster and easier to implement than many above and it's better suited for quick quantifiable analytics that can be explored than the replay tools also mentioned. We could answer questions and visualize things way faster than Google Analytics. The effort required to establish and maintain is dramatically lower than Adobe.

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If you don't have a team dedicated to tagging, Heap is an incredible tool for being able to tag (and retroactively) what you are hoping to analyze. For a startup or early-stage company with lean teams, Heap can accomplish most pieces of key analysis that you would need to perform. It also has way better visualizations and ease of use for analysis than something like Google Analytics. If you are a large enterprise though and need to perform significant and complicated analysis, there are some more expensive enterprise players that have more features and full stack type of integrations. If you also need highly flexible dashboards, that is also true. However, most of those tools also require a team dedicated to data governance, tagging, etc, which Heap does not require. Very pleased with it for more lean analytics implementation needs.


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