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Heap - Product Analytics Software

Heap Reviews in June 2026: User Ratings, Pros & Cons

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4.5

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Heap Reviews & Ratings

4.5

Very Good

Based on 664 ratings & 1083 reviews

Rating Distribution

Excellent

(665)

Very Good

(361)

Good

(45)

Poor

(6)

Terible

(6)

Spotsaas Editor’s POV

Heap offers a robust solution for product analytics with its codeless approach, making it accessible for non-technical users. Its retroactive data collection feature is particularly beneficial for teams looking to analyze past user behavior.Read more

Heap pros and cons

  • Codeless user analytics

  • Retroactive data access

  • Flexible Virtual Events

  • Data-driven decision-making

  • Complex setup process

  • Learning curve for new users

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Showing 1001-1010 out of 1083

JA

Justin A

08/04/17

5 out of 5

"A Better Way for Non-Data Scientists to use Abalytics Data to Answer Business Questions"

What do you like best about Heap? Heap is easy to implement, easy to use, and very simple to deploy. It gives the "lay-person", a marketing team member, or business team member who is NOT a tech savvy data scientist the ability to review the most important data, answer questions in a meaningful way that allow meaningful and clear decisions to be made based on data.

CA

Chris A

07/20/17

5 out of 5

"Very good insight in how users behave inside your application"

What do you like best about Heap? Creating funnels, seeing where users drop-out. Creating custom events. What do you dislike about Heap?

KW

Kyle W

07/19/17

4.5 out of 5

"I don't want to use Google Analytics anymore"

What do you like best about Heap? The intuitiveness, retroactive tracking,, and the ability to easily setup funnels and events without needing to update the code.

KW

Kyle W

07/19/17

4.5 out of 5

"I don't want to use Google Analytics anymore"

What do you like best about Heap? The intuitiveness, retroactive tracking,, and the ability to easily setup funnels and events without needing to update the code.

AU

Anonymous User

06/20/17

5 out of 5

"Easy to implement and use"

What do you like best about Heap? It's very easy to implement and use. It provides very detailed analytical insight. It has predetermined reports which is easy to use.

SJ

Stephen J

06/07/17

5 out of 5

"The Best Analytics Platform Out There"

What do you like best about Heap? I've used many analytics tools for years now. What I like best about Heap is how fast I can build insightful funnel graphs with ease and accuracy. This allows me to do landing page optimization more effectively – delivering better results for my clients. I also use their API for tracking certain custom events that allow me to more effectively measure visitor engagement.

AU

Anonymous User

06/01/17

4.5 out of 5

"One of the best Analytics"

What do you like best about Heap? Their feature to create events by clicking on site components is the best. Visualizer that is. What do you dislike about Heap?

AU

Anonymous User

06/01/17

4.5 out of 5

"One of the best Analytics"

What do you like best about Heap? Their feature to create events by clicking on site components is the best. Visualizer that is. What do you dislike about Heap?

AW

Andrew W

05/18/17

5 out of 5

"Heap helped me get useful insights on my first day of using it"

What do you like best about Heap? You only need to install one script and are able to define goals and funnels easily via their web tool. I have a lot of experience having to wire event handling code from Google Analytics and other platforms to web and server side events, and it's a turnoff to go through all of that. Eventually analytics just becomes an after thought.

NH

Noah H

04/12/17

5 out of 5

"Easy Integration with Lasting Benefits"

What do you like best about Heap? Heap enables one to easily track how customers use one's applications on both the web and mobile. This data is crucial to informing product development and further enhancements. With its ability to easily define user events, one can easily detect how one can better optimize one's product to drive better retention and feature use.

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].