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At a Glance
Market Segments
Mid-Market (54.1% of reviews)
Small-Business (87.5% of reviews)
Entry-Level Pricing
Free 10000 Sessions Per Month
No pricing available
Heap
Star Rating
(1,094)4.4 out of 5
Market Segments
Mid-Market (54.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free 10000 Sessions Per Month
Browse all 4 pricing plansMonsterInsights
Star Rating
(34)4.4 out of 5
Market Segments
Small-Business (87.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about MonsterInsightsSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Heap | by Contentsquare excels in Click Tracking with a score of 9.4, allowing for detailed insights into user interactions, while MonsterInsights offers a solid performance but falls slightly behind with a score of 8.4 in Conversions.
- Reviewers mention that Heap's Dynamic Segmentation feature, rated at 9.2, provides advanced capabilities for targeting specific user groups, whereas MonsterInsights, while effective, does not match this level of sophistication in segmentation.
- G2 users highlight that Heap's Real-Time Reporting feature, scoring 8.6, is beneficial for immediate insights, but MonsterInsights shines with a higher score of 9.0, making it a preferred choice for users needing timely data.
- Users on G2 note that Heap's Standard Event Tracking is rated at 9.0, which is praised for its flexibility, while MonsterInsights' Custom Event Tracking at 8.6 is seen as less versatile, leading to some limitations in tracking specific user actions.
- Reviewers say that Heap's Account-Level Analytics feature, rated at 8.3, provides a comprehensive view of user behavior across accounts, but MonsterInsights' User-Level Analytics at 8.7 is favored for its granularity in tracking individual user actions.
- Users report that Heap's Frustration Tracking feature, with a score of 9.0, is particularly useful for identifying pain points in user experience, while MonsterInsights lacks a comparable feature, which may limit its effectiveness in optimizing user journeys.
Pricing
Entry-Level Pricing
Heap
Free
Free
10000 Sessions Per Month
Find product-market fit
- Up to 10K monthly sessions
- Core analytics charts
- Unlimited enrichment sources
MonsterInsights
No pricing availableFree Trial
Heap
Free Trial is available
MonsterInsights
No trial information availableRatings
Meets Requirements
8.6
856
9.1
24
Ease of Use
8.1
865
9.2
24
Ease of Setup
8.5
313
9.4
12
Ease of Admin
8.6
317
8.8
11
Quality of Support
8.7
679
8.6
22
Has the product been a good partner in doing business?
8.8
299
9.2
11
Product Direction (% positive)
8.7
794
8.9
22
Features by Category
Metrics
8.6
397
8.9
19
8.4
365
8.5
19
8.3
327
9.3
18
9.0
398
8.8
18
8.8
391
8.3
16
8.0
305
8.7
19
8.1
279
8.9
19
8.7
347
8.2
17
8.7
368
7.8
16
Reporting
8.6
365
9.1
18
8.0
293
8.3
18
8.7
330
8.1
16
8.3
358
8.4
15
8.2
205
8.2
18
8.4
225
8.9
16
8.3
375
8.0
17
Other
8.4
339
8.8
19
8.0
185
8.3
17
7.6
192
8.0
17
8.2
214
7.8
15
8.1
149
8.2
14
8.0
45
7.3
16
7.9
47
8.0
16
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
8.4
274
8.2
14
8.6
99
7.3
13
8.6
412
8.8
17
8.7
388
8.8
16
User Identification
8.1
41
Not enough data
8.6
94
Not enough data
8.5
68
Not enough data
Tracking & Reporting
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
Not enough data
Metrics
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
Not enough data
User Behavior
9.4
83
Not enough data
9.0
73
Not enough data
9.0
69
Not enough data
A/B Testing
9.1
52
Not enough data
8.9
24
Not enough data
9.3
61
Not enough data
9.3
44
Not enough data
Visitor Information
9.3
66
Not enough data
8.9
61
Not enough data
Agentic AI - Session Replay
Not enough data
Not enough data
Product Analytics
8.3
300
Not enough data
8.7
358
Not enough data
8.5
327
Not enough data
8.7
351
Not enough data
7.9
105
Not enough data
8.4
223
Not enough data
7.8
92
Not enough data
8.3
254
Not enough data
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
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
Not enough data
Administration
8.1
69
Not enough data
8.2
50
Not enough data
8.5
65
Not enough data
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
9.2
30
Not enough data
9.2
31
Not enough data
Platform Data
9.1
32
Not enough data
8.7
34
Not enough data
9.2
33
Not enough data
8.9
33
Not enough data
Platform Additional Functionality
9.2
33
Not enough data
8.9
31
Not enough data
7.9
15
Not enough data
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
8.7
18
Not enough data
9.1
23
Not enough data
9.0
26
Not enough data
9.3
25
Not enough data
Process Management
9.1
23
Not enough data
9.1
23
Not enough data
9.4
26
Not enough data
9.3
25
Not enough data
System Management
9.4
20
Not enough data
9.3
14
Not enough data
Metrics
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
Not enough data
Variation Testing
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
Not enough data
Reporting
8.4
64
Not enough data
8.2
65
Not enough data
Personalization
Feature Not Available
Not enough data
Feature Not Available
Not enough data
8.3
38
Not enough data
Administration
8.1
52
Not enough data
7.8
15
Not enough data
8.5
62
Not enough data
8.9
63
Not enough data
Categories
Categories
Shared Categories
Heap and MonsterInsights are categorized as Digital Analytics
Unique Categories
Heap is categorized as E-Commerce Analytics, Product Analytics, Session Replay, Mobile App Analytics, Mobile App Optimization, Enterprise Feedback Management, and Customer Journey Analytics
MonsterInsights has no unique categories
Reviews
Reviewers' Company Size
Heap
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
MonsterInsights
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
16.4%
Information Technology and Services
12.0%
Financial Services
9.1%
Marketing and Advertising
7.7%
Internet
5.4%
Other
49.4%
Marketing and Advertising
15.6%
Writing and Editing
9.4%
Information Technology and Services
9.4%
Manufacturing
3.1%
Consulting
3.1%
Other
59.4%
Discussions
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
Is MonsterInsights any good?
1 Comment
RA
Yes. It shows you visitors coming to your website and pages.Read more
MonsterInsights has no more discussions with answers
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