Write a review temporarily disabled. Our system flagged this request as potentially automated and has disabled form submission for security reasons. If you believe this is a mistake, please contact us. We’ll be happy to help resolve the issue.

Heap, Inc.

Heap

Composite Score

7.4 /10

CX Score

7.6 /10

20 Reviews Write a Review

Claim Software

What is Heap?

Heap is a digital insights platform that makes it easy to surface and act on the most valuable insights that are hidden in your user data. Heap combines a complete and trustworthy digital data foundation with advanced data science capabilities so teams have comprehensive tools to yield insights, move faster, and optimize customer journeys in an ever-changing marketplace.

Company Details

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Heap Ratings

Real user data aggregated to summarize the product performance and customer experience.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

97 Likeliness to Recommend

60 Plan to Renew

93 Satisfaction of Cost Relative to Value

{y}

{name}

Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+77 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Heap?

10% Negative

15% Neutral

75% Positive

Pros

Transparent
Helps Innovate
Acts with Integrity
Continually Improving Product

Feature Ratings

Average 65

Predictive Analytics

3rd-Party Integrations

Product Analytics

Audience Segmentation

Session Replay

Marketing Analytics

Website Analytics

Cross-Channel Engagement Analytics

Privacy, Security, and Regulatory Compliance

Customer Journey Modelling

Dashboards, Analytics and Reporting

Vendor Capability Ratings

Average 67

Ease of Implementation

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Business Value Created

Ease of Data Integration

Quality of Features

Availability and Quality of Training

Ease of Customization

Ease of IT Administration

Vendor Support

Breadth of Features

Also Featured in...

Website Analytics

Score 7.5

View Heap in this category (opens in a new tab)

Product Analytics

Score 6.9

View Heap in this category (opens in a new tab)

Heap Reviews

Sunil r.

Role: Information Technology
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Feb 2026

heaps automated capabilities for data analysis

Likeliness to Recommend

10 /10

What differentiates Heap from other similar products?

automatically collects user activity data without manual event tagging.

What is your favorite aspect of this product?

as a data analyst it is possible to perform event analysis without engineering dependencies.

What do you dislike most about this product?

query performance on very large data volumes can sometimes feel limited.

What recommendations would you give to someone considering this product?

as a data analyst adopt heap in teams where rapid experimentation and analysis are essential.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Altaf K.

Role: Sales Marketing
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jan 2026

Uncovers the real behavior hidden in the sales.

Likeliness to Recommend

10 /10

What differentiates Heap from other similar products?

Require pre setting events every user action is recorded automatically. It provides the freedom to analyze the sales funnel from new perspectives even after the fact which is difficult with other tools.

What is your favorite aspect of this product?

Several times i analyzed old campaigns and found the data already available which allowed for quicker decision making.

What do you dislike most about this product?

Some sales specific metrics require additional setup to be explained.

What recommendations would you give to someone considering this product?

It is now easier to understand which path leads to a deal and where improvements are needed.

Pros

Continually Improving Product
Reliable
Trustworthy
Unique Features

Cons

Less Productive
Less Performance Enhancing
Vendor Friendly Policies

Kishor S.

Role: Industry Specific Role
Industry: Consulting
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jan 2026

shows user behavior without additional setup.

Likeliness to Recommend

10 /10

What differentiates Heap from other similar products?

the system automatically captures user interactions. New questions can be asked about historical data, making previous incorrect tracking planning less of a problem.

What is your favorite aspect of this product?

no need to rush to add tracking after a feature launch and the data is already available.

What do you dislike most about this product?

Specific business events with high precision feels somewhat limited compared to other tools.

What recommendations would you give to someone considering this product?

time saving solution for product managers who experiment rapidly and want to understand user behavior in depth later.

Pros

Reliable
Performance Enhancing
Unique Features
Effective Service

Heap

What is Heap?

Company Details

Need Assistance?

Heap Ratings

97 Likeliness to Recommend

60 Plan to Renew

93 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+77 Net Emotional Footprint

How much do users love Heap?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Predictive Analytics Use machine learning to surface predictive insights and detect anomalies at scale, and provide data to make better decisions.

3rd-Party Integrations Integrates with a CDP or data layer to unify data from multiple systems for analysis and activation.

Product Analytics Measures usage of specific features, adoption, retention, and engagement with a product.

Audience Segmentation The ability to create and analyze discrete customer audience segments based on user-defined criteria or variables.

Session Replay Session replay with heatmaps or clickstream visualizations to diagnose issues, identify trends, or improve UX.

Marketing Analytics Tracks campaign performance, attribution, and marketing ROI.

Website Analytics Tracks page views, sessions, user flows, and website-specific KPIs.

Cross-Channel Engagement Analytics Track and optimize user engagement and user flows across marketing campaigns and mobile apps by measuring ROI, retention, churn, and in-app behaviour.

Privacy, Security, and Regulatory Compliance The vendor meets consumer privacy laws for the specific location (GDPR and CCPA), provides security, and complies with all other regulatory requirements.

Customer Journey Modelling The ability to effectively model and display customer behaviors or journeys through multiple channels and touchpoints.

Dashboards, Analytics and Reporting Includes historical & real-time dashboard visualizations, detailed & summary reporting, forecasting & easy data extraction for data analysis.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Also Featured in...

Website Analytics

Product Analytics

Heap Reviews

Sunil r.

heaps automated capabilities for data analysis

Likeliness to Recommend

Pros

Altaf K.

Uncovers the real behavior hidden in the sales.

Likeliness to Recommend

Pros

Cons

Kishor S.

shows user behavior without additional setup.

Likeliness to Recommend

Pros

Most Popular Heap Comparisons

Pendo

Hotjar

Google Analytics 360

Amplitude Analytics

Mixpanel

Adobe Analytics

Feature Ratings

Predictive Analytics

3rd-Party Integrations

Product Analytics

Audience Segmentation

Session Replay

Marketing Analytics

Website Analytics

Cross-Channel Engagement Analytics

Privacy, Security, and Regulatory Compliance

Customer Journey Modelling

Dashboards, Analytics and Reporting

Vendor Capability Ratings

Ease of Implementation

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Business Value Created

Ease of Data Integration

Quality of Features

Availability and Quality of Training

Ease of Customization

Ease of IT Administration

Vendor Support

Breadth of Features