Heap, Inc.

Heap

Composite Score

7.4 /10

CX Score

7.4 /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

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Heap Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Heap.

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.

87 Likeliness to Recommend

1
Since last award

95 Plan to Renew

88 Satisfaction of Cost Relative to Value

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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.

+79 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?

0% Negative

18% Neutral

82% Positive

Pros

Respectful
Saves Time
Enables Productivity
Efficient Service

Cons

Under Delivered

Feature Ratings

Average 82

Conversion Analysis

Data Visualization

Audience Segmentation

Device and Browser Analytics

API Framework

Paid Search Integration

Audience Demographics

Customer Journey Modelling

Search Engine Optimization

Customer Value Analysis

Social Media Analytics

Vendor Capability Ratings

Average 80

Ease of Data Integration

Business Value Created

Ease of IT Administration

Ease of Implementation

Breadth of Features

Usability and Intuitiveness

Vendor Support

Ease of Customization

Availability and Quality of Training

Product Strategy and Rate of Improvement

Quality of Features

Also Featured in...

Product Analytics

Score 7.0

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

Heap Reviews

Role: Information Technology
Industry: Telecommunications
Involvement: IT Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Sep 2021

Data auto-capture is a game changer

Likeliness to Recommend

9 /10

Pros

Reliable
Enables Productivity
Trustworthy
Unique Features

Role: Industry Specific Role
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Sep 2021

being able to pull data when we need it is valuabl

Likeliness to Recommend

8 /10

Pros

Respectful
Enables Productivity
Efficient Service
Effective Service

Cons

Slower Product Innovation
Less Reliable

Amir B.

Role: Information Technology
Industry: Engineering
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Sep 2021

Amazing analytic product that helps the UX process

Likeliness to Recommend

9 /10

What differentiates Heap from other similar products?

The data model allows for a lot of flexibility. At the same time it supports everything google analytics does.

What is your favorite aspect of this product?

How I have data from every interaction even though I just put the pixel on the websites.

What do you dislike most about this product?

I wish I had better time based conversion tracking.

What recommendations would you give to someone considering this product?

Take your time to set up your naming conventions and all the key funnels.

Pros

Continually Improving Product
Reliable
Performance Enhancing
Enables Productivity

Heap

What is Heap?

Company Details

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Awards & Recognition

Heap Ratings

87 Likeliness to Recommend

1 Since last award

95 Plan to Renew

88 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+79 Net Emotional Footprint

How much do users love Heap?

Pros

Cons

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

Conversion Analysis The ability to capture and analyze conversion (transaction) data and conversion paths from the web or associated channels.

Data Visualization Visualize customer data in configurable dashboards or reports, and easily share these visualizations with decision makers.

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

Device and Browser Analytics Capture and summarize device and browser information.

API Framework Move data to and from the platform and other customer interaction applications (i.e. Marketing Automation) with ease.

Paid Search Integration Integrates with popular search advertising services (i.e. AdWords) and can make predictive recommendations around areas like keywords.

Audience Demographics The ability to capture, analyze and display customer demographic/firmographic data from different channels.

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

Search Engine Optimization Provides targeted recommendations for improving and optimizing a page for organic search rankings (i.e. via A/B testing or multivariate testing).

Customer Value Analysis Predicts customer lifetime value based on past conversions.

Social Media Analytics Captures information on social signals from popular services (Twitter, Facebook, LinkedIn etc.).

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

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

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

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.

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.

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.

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.

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.

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.

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.

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.

Also Featured in...

Product Analytics

Heap Reviews

Data auto-capture is a game changer

Likeliness to Recommend

Pros

being able to pull data when we need it is valuabl

Likeliness to Recommend

Pros

Cons

Amir B.

Amazing analytic product that helps the UX process

Likeliness to Recommend

Pros

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1
Since last award

Feature Ratings

Conversion Analysis

Data Visualization

Audience Segmentation

Device and Browser Analytics

API Framework

Paid Search Integration

Audience Demographics

Customer Journey Modelling

Search Engine Optimization

Customer Value Analysis

Social Media Analytics

Vendor Capability Ratings

Ease of Data Integration

Business Value Created

Ease of IT Administration

Ease of Implementation

Breadth of Features

Usability and Intuitiveness

Vendor Support

Ease of Customization

Availability and Quality of Training

Product Strategy and Rate of Improvement

Quality of Features