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Compare Eppo and Optimizely Feature Experimentation 
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At a Glance
Market Segments
Mid-Market (73.2% of reviews)
Mid-Market (50.9% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Eppo
Star Rating
(41)4.7 out of 5
Market Segments
Mid-Market (73.2% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about EppoOptimizely Feature Experimentation
Star Rating
(116)4.3 out of 5
Market Segments
Mid-Market (50.9% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Optimizely Feature ExperimentationSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Optimizely Feature Experimentation excels in Account-Level Analytics with a score of 8.5, allowing teams to gain insights at a broader level, while Eppo's analytics capabilities are more focused on user-level insights, scoring 8.9, which some users find more beneficial for targeted experimentation.
- Reviewers mention that Eppo shines in Reporting and Analytics, achieving a score of 9.1, which users appreciate for its comprehensive dashboards and detailed reporting features, whereas Optimizely's score of 7.0 indicates room for improvement in this area.
- G2 users highlight that Eppo's Multivariate Testing capabilities are robust, scoring 9.2, making it a preferred choice for complex experiments, while Optimizely's score of 7.5 suggests it may not handle intricate testing scenarios as effectively.
- Users on G2 report that Eppo provides superior Mobile Testing features, with a score of 8.9, which is crucial for businesses focusing on mobile user experiences, compared to Optimizely's score of 7.7, indicating a potential gap in mobile optimization.
- Reviewers say that Optimizely's Flag Management feature, scoring 8.6, is highly regarded for its ease of use in managing feature flags, while Eppo's lower score of 7.1 suggests that users may find it less intuitive or effective in this area.
- Users report that Eppo's Monitoring capabilities are highly rated at 9.0, providing real-time insights that users find essential for tracking experiment performance, whereas Optimizely's score of 7.5 indicates that its monitoring features may not be as comprehensive or user-friendly.
Pricing
Entry-Level Pricing
Eppo
No pricing availableOptimizely Feature Experimentation
No pricing availableFree Trial
Eppo
Free Trial is available
Optimizely Feature Experimentation
Free Trial is available
Ratings
Meets Requirements
9.1
38
8.1
79
Ease of Use
9.0
40
8.1
85
Ease of Setup
8.8
13
7.0
40
Ease of Admin
9.1
9
7.9
26
Quality of Support
9.6
35
8.1
67
Has the product been a good partner in doing business?
9.8
10
8.7
26
Product Direction (% positive)
9.7
40
7.9
71
Features by Category
Product Analytics
8.5
14
Not enough data
Feature Not Available
Not enough data
8.8
19
Not enough data
7.8
12
Not enough data
7.6
13
Not enough data
7.8
13
Not enough data
Feature Not Available
Not enough data
9.0
13
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
Management
7.1
12
8.6
37
7.1
7
8.5
37
9.0
16
7.6
36
Functionality
7.1
7
8.6
37
8.7
15
8.8
38
7.8
15
7.6
37
Computing
8.7
19
Feature Not Available
6.0
10
6.5
27
7.8
25
7.6
29
Experimental Design
9.2
22
7.7
30
9.1
24
7.7
29
8.9
18
8.0
29
Analytics
9.1
30
7.1
29
Feature Not Available
Feature Not Available
Agentic AI - A/B Testing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Personalization
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
Not enough data
Not enough data
Variation Testing
Not enough data
8.2
18
Not enough data
Feature Not Available
Not enough data
8.5
18
Not enough data
7.4
18
Not enough data
8.5
17
Not enough data
7.4
18
Reporting
Not enough data
7.3
16
Not enough data
7.9
17
Personalization
Not enough data
7.6
17
Not enough data
7.6
17
Not enough data
7.9
16
Administration
Not enough data
7.5
17
Not enough data
7.6
16
Not enough data
8.5
16
Not enough data
7.4
16
Categories
Categories
Shared Categories
Eppo and Optimizely Feature Experimentation are categorized as Feature Management and A/B Testing
Unique Categories
Eppo is categorized as Product Analytics and Other Analytics
Optimizely Feature Experimentation is categorized as Mobile App Optimization and Personalization
Reviews
Reviewers' Company Size
Eppo
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Optimizely Feature Experimentation
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
22.0%
Information Technology and Services
17.1%
Insurance
9.8%
Entertainment
7.3%
Internet
4.9%
Other
39.0%
Financial Services
16.4%
Computer Software
10.3%
Retail
6.0%
Information Technology and Services
6.0%
Real Estate
5.2%
Other
56.0%
Alternatives
Discussions
Eppo has no discussions with answers
Is optimizely open source?
1 Comment
MM
No. It is not.Read more
Optimizely Feature Experimentation has no more discussions with answers
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