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Compare Dataroid and Google Analytics 360 
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At a Glance
Market Segments
Enterprise (61.8% of reviews)
Small-Business (50.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Dataroid
Star Rating
(72)4.7 out of 5
Market Segments
Enterprise (61.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DataroidGoogle Analytics 360
Star Rating
(594)4.4 out of 5
Market Segments
Small-Business (50.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Google Analytics 360Summary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Analytics 360 excels in its Real-Time Reporting feature, scoring 8.9, which allows businesses to monitor user activity as it happens. In contrast, Dataroid's Real-Time Reporting is slightly lower at 8.8, indicating that while it is effective, it may not be as robust as Google Analytics 360 in this area.
- Reviewers mention that Dataroid shines in Quality of Support, achieving a score of 9.5 compared to Google Analytics 360's 8.0. Users appreciate the responsiveness and helpfulness of Dataroid's support team, making it a preferred choice for those who prioritize customer service.
- G2 users highlight Dataroid's superior Ease of Setup with a score of 9.0, while Google Analytics 360 lags behind at 7.9. This suggests that Dataroid is more user-friendly for new users looking to implement analytics quickly and efficiently.
- Reviewers say that Dataroid's Custom Reports and Dashboards feature is particularly well-received, scoring 9.0, which allows users to tailor their analytics experience. Google Analytics 360, while still strong at 8.7, does not offer the same level of customization, which may be a drawback for users seeking personalized insights.
- Users on G2 report that Dataroid's User Identification capabilities, including demographics and user segmentation, are highly effective, with scores around 9.0. In comparison, Google Analytics 360's user identification features are solid but do not match the depth and usability of Dataroid's offerings.
- Reviewers mention that Google Analytics 360's Standard Event Tracking is robust, scoring 8.6, but Dataroid outperforms it with a score of 9.2. This indicates that Dataroid provides more comprehensive tracking options, which can be crucial for businesses looking to analyze specific user interactions.
Pricing
Entry-Level Pricing
Dataroid
No pricing availableGoogle Analytics 360
No pricing availableFree Trial
Dataroid
No trial information availableGoogle Analytics 360
No trial information availableRatings
Meets Requirements
8.7
62
8.8
447
Ease of Use
9.1
61
8.1
450
Ease of Setup
8.9
44
8.0
195
Ease of Admin
8.7
18
8.4
188
Quality of Support
9.7
60
8.0
406
Has the product been a good partner in doing business?
9.4
18
8.4
184
Product Direction (% positive)
9.8
60
8.4
431
Features by Category
Metrics
9.6
34
8.7
324
9.4
34
8.5
332
9.2
33
8.5
322
9.5
34
8.6
304
9.5
34
8.4
298
9.4
31
8.4
304
9.2
32
8.2
303
9.3
34
8.4
310
9.2
34
8.2
286
Reporting
9.3
36
Feature Not Available
9.2
32
8.6
310
9.0
30
8.4
279
8.8
31
8.5
296
8.9
31
8.4
290
9.2
30
8.2
268
9.2
33
8.7
311
Other
9.2
33
8.5
300
8.9
29
8.4
305
8.7
30
8.3
290
9.4
30
8.6
302
9.1
26
8.5
267
9.1
27
8.2
248
8.8
27
8.3
266
Agentic AI - Digital Analytics
10.0
7
Not enough data
10.0
7
Not enough data
10.0
7
Not enough data
10.0
7
Not enough data
Administration
9.0
32
8.5
243
9.0
28
8.2
243
9.1
31
8.6
293
9.4
30
8.6
293
User Identification
Not enough data
9.1
111
Not enough data
9.0
108
Not enough data
9.0
103
Tracking & Reporting
Not enough data
8.9
99
Not enough data
8.8
109
Not enough data
8.9
102
Not enough data
9.0
108
Not enough data
8.8
103
Not enough data
8.8
101
Metrics
Not enough data
9.0
33
Not enough data
8.6
32
Not enough data
8.6
33
Not enough data
8.5
33
Not enough data
8.6
33
Product Analytics
9.3
20
Not enough data
9.3
23
Not enough data
8.8
22
Not enough data
9.1
25
Not enough data
8.3
21
Not enough data
9.3
23
Not enough data
8.7
22
Not enough data
Feature Not Available
Not enough data
Agentic AI - Product Analytics
8.8
7
Not enough data
9.0
7
Not enough data
9.0
7
Not enough data
9.0
7
Not enough data
Platform Basics
8.9
29
Not enough data
8.9
29
Not enough data
Platform Data
9.0
29
Not enough data
9.1
29
Not enough data
9.1
30
Not enough data
8.8
28
Not enough data
Platform Additional Functionality
8.9
28
Not enough data
8.7
28
Not enough data
8.3
29
Not enough data
Agentic AI - Customer Journey Analytics
7.4
11
Not enough data
8.2
11
Not enough data
8.5
11
Not enough data
8.5
11
Not enough data
Metrics
Not enough data
9.0
33
Not enough data
8.6
32
Not enough data
8.6
33
Not enough data
8.5
33
Not enough data
8.6
33
Categories
Categories
Shared Categories
Dataroid and Google Analytics 360 are categorized as Digital Analytics
Unique Categories
Dataroid is categorized as Product Analytics and Customer Journey Analytics
Google Analytics 360 is categorized as Mobile App Analytics
Reviews
Reviewers' Company Size
Dataroid
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Analytics 360
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
Banking
60.3%
Financial Services
17.6%
Airlines/Aviation
4.4%
Consumer Goods
2.9%
Automotive
2.9%
Other
11.8%
Marketing and Advertising
20.8%
Information Technology and Services
6.2%
Computer Software
4.9%
Retail
3.1%
Education Management
3.1%
Other
61.9%
Discussions
Dataroid has no discussions with answers
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