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At a Glance
Market Segments
Mid-Market (61.9% of reviews)
Mid-Market (54.0% of reviews)
Entry-Level Pricing
No pricing available
Free 10000 Sessions Per Month
Gainsight Product Experience
Star Rating
(240)4.4 out of 5
Market Segments
Mid-Market (61.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Gainsight Product ExperienceHeap
Star Rating
(1,094)4.4 out of 5
Market Segments
Mid-Market (54.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free 10000 Sessions Per Month
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Heap | by Contentsquare excels in Standard Event Tracking with a score of 9.0, allowing for seamless tracking of user interactions without extensive setup. In contrast, Gainsight Product Experience, while still effective, scores lower at 8.4 in Conversions, indicating a potential gap in tracking user actions effectively.
- Reviewers mention that Heap's Click Tracking feature is highly rated at 9.4, providing detailed insights into user behavior. Conversely, Gainsight's Exit Tracking feature scores 7.9, suggesting that users may find it less comprehensive in understanding user drop-off points.
- G2 users highlight Heap's superior Custom Event Tracking with a score of 8.8, which allows for tailored analytics that meet specific business needs. Gainsight, while offering similar functionality, scores lower at 8.6, indicating that users may not find it as flexible or user-friendly.
- Users on G2 report that Heap's Real-Time Reporting feature is robust, scoring 8.6, which helps teams make immediate data-driven decisions. In contrast, Gainsight's Real-Time Insights score of 8.4 suggests it may not be as responsive, potentially impacting timely decision-making.
- Reviewers say that Heap's Dynamic Segmentation feature is particularly strong, scoring 9.2, allowing for precise targeting of user groups. Gainsight's segmentation capabilities, while effective, score lower at 8.4, indicating that users may find Heap's approach more beneficial for personalized marketing efforts.
- Users report that Heap's Journey Optimization feature, also scoring 9.2, provides valuable insights into user pathways, enhancing the overall user experience. Gainsight's similar functionality, while useful, scores lower at 8.7, suggesting that users may not achieve the same level of insight into user journeys.
Pricing
Entry-Level Pricing
Gainsight Product Experience
No pricing availableHeap
Free
Free
10000 Sessions Per Month
Find product-market fit
- Up to 10K monthly sessions
- Core analytics charts
- Unlimited enrichment sources
Free Trial
Gainsight Product Experience
Free Trial is available
Heap
Free Trial is available
Ratings
Meets Requirements
8.5
192
8.6
857
Ease of Use
7.7
194
8.1
866
Ease of Setup
7.3
96
8.5
314
Ease of Admin
8.0
96
8.6
317
Quality of Support
8.8
173
8.7
680
Has the product been a good partner in doing business?
8.9
93
8.8
299
Product Direction (% positive)
8.6
184
8.7
795
Features by Category
Metrics
Not enough data
8.6
397
Not enough data
8.4
365
Not enough data
8.3
327
Not enough data
9.0
398
Not enough data
8.8
391
Not enough data
8.0
305
Not enough data
8.1
279
Not enough data
8.7
347
Not enough data
8.7
368
Reporting
Not enough data
8.6
365
Not enough data
8.0
293
Not enough data
8.7
330
Not enough data
8.3
358
Not enough data
8.2
205
Not enough data
8.4
225
Not enough data
8.3
375
Other
Not enough data
8.4
339
Not enough data
8.0
185
Not enough data
7.6
192
Not enough data
8.2
214
Not enough data
8.1
149
Not enough data
8.0
45
Not enough data
7.9
47
Agentic AI - Digital Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
8.4
274
Not enough data
8.6
99
Not enough data
8.6
412
Not enough data
8.7
388
User Identification
Not enough data
8.1
41
Not enough data
8.6
94
Not enough data
8.5
68
Tracking & Reporting
Not enough data
8.6
102
Not enough data
8.4
93
Not enough data
8.1
80
Not enough data
8.1
97
Not enough data
8.2
96
Not enough data
8.4
90
Metrics
Not enough data
8.3
65
Not enough data
7.9
51
Not enough data
8.0
56
Not enough data
8.2
57
Not enough data
8.4
68
User Response Methods
8.9
32
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
7.9
27
Not enough data
Participant Selection
8.5
34
Not enough data
Feature Not Available
Not enough data
7.7
22
Not enough data
6.7
19
Not enough data
Insights
8.2
35
Not enough data
7.6
30
Not enough data
7.7
27
Not enough data
Generative AI
6.7
9
Not enough data
User Behavior
Not enough data
9.4
83
Not enough data
9.0
73
Not enough data
9.0
69
A/B Testing
Not enough data
9.1
52
Not enough data
8.9
24
Not enough data
9.3
61
Not enough data
9.3
44
Visitor Information
Not enough data
9.3
66
Not enough data
8.9
61
Agentic AI - Session Replay
Not enough data
Not enough data
User Analysis
8.8
78
Not enough data
8.2
88
Not enough data
User Support
8.2
82
Not enough data
8.1
45
Not enough data
8.3
61
Not enough data
Walkthrough Type
8.3
54
Not enough data
8.5
72
Not enough data
Platform Basics - Digital Adoption Platform
Not enough data
Not enough data
Not enough data
Not enough data
Analytics - Digital Adoption Platform
Not enough data
Not enough data
Functions - Digital Adoption Platform
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Digital Adoption Platform
Not enough data
Not enough data
Product Analytics
7.9
114
8.3
301
8.4
118
8.7
359
7.8
103
8.5
328
7.4
100
8.7
352
7.2
81
7.9
106
7.4
94
8.4
224
7.2
72
7.8
93
7.2
87
8.3
255
Agentic AI - Product Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
Not enough data
8.6
85
Not enough data
8.4
87
Not enough data
8.6
83
Not enough data
8.2
69
Not enough data
7.8
72
Not enough data
7.3
49
Administration
Not enough data
8.1
69
Not enough data
8.2
50
Not enough data
8.5
65
Generative AI
Not enough data
Not enough data
Agentic AI - E-Commerce Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform Basics
Not enough data
9.2
30
Not enough data
9.2
31
Platform Data
Not enough data
9.1
32
Not enough data
8.7
34
Not enough data
9.2
33
Not enough data
8.9
33
Platform Additional Functionality
Not enough data
9.2
33
Not enough data
8.9
31
Not enough data
7.9
15
Agentic AI - Customer Journey Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Survey Management
Not enough data
8.7
18
Not enough data
9.1
23
Not enough data
9.0
26
Not enough data
9.3
25
Process Management
Not enough data
9.1
23
Not enough data
9.1
23
Not enough data
9.4
26
Not enough data
9.3
25
System Management
Not enough data
9.4
20
Not enough data
9.3
14
Communication
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Planning
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Workflow Management
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Metrics
Not enough data
8.3
65
Not enough data
7.9
51
Not enough data
8.0
56
Not enough data
8.2
57
Not enough data
8.4
68
Variation Testing
Not enough data
8.5
37
Not enough data
Feature Not Available
Not enough data
8.7
45
Not enough data
8.6
45
Not enough data
8.3
43
Not enough data
8.2
29
Reporting
Not enough data
8.4
64
Not enough data
8.2
65
Personalization
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
8.3
38
Administration
Not enough data
8.1
52
Not enough data
7.8
15
Not enough data
8.5
62
Not enough data
8.9
63
Categories
Categories
Shared Categories
Gainsight Product Experience and Heap are categorized as Product Analytics
Unique Categories
Gainsight Product Experience is categorized as Digital Adoption Platform, Product Management, and User Research
Heap is categorized as E-Commerce Analytics, Session Replay, Mobile App Analytics, Mobile App Optimization, Digital Analytics, Enterprise Feedback Management, and Customer Journey Analytics
Reviews
Reviewers' Company Size
Gainsight Product Experience
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Heap
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
38.1%
Information Technology and Services
14.0%
Hospital & Health Care
4.2%
Education Management
3.8%
Marketing and Advertising
3.0%
Other
36.9%
Computer Software
16.5%
Information Technology and Services
12.0%
Financial Services
9.0%
Marketing and Advertising
7.6%
Internet
5.4%
Other
49.3%
Discussions
What is Gainsight PX?
1 Comment
GH
Gainsight PX is a product intelligence and communication tool that helps you track usage trends, user engagement, user retention, provides onboarding...Read more
What is Gainsight software?
1 Comment
EN
GainSight PX is a tool that monitor users' usage of software in the cloud. Read more
Gainsight Product Experience has no more discussions with answers
Does Heap work with multiple domains or websites?
1 Comment
MM
yes it supports, for instance we have 5 different websites, and you can create each project for each websites and do you analysis, all you need is to just...Read more
Does Heap support multiple projects on the same account?
1 Comment
MM
yes it supports multiple projects, Under the menu accounts, settings u can add multi projects. Read more
Does Heap work well with single-page web apps built on Backbone, Angular, and other frameworks?
1 Comment
MM
It should work for sure, heap will look for user visit on the page, and event actions triggered on the components on the object the present in your page. Read more
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