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Compare Amplitude Feature Experimentation and Optimizely Feature Experimentation 
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At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Mid-Market (50.9% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amplitude Feature Experimentation
Star Rating
(23)4.0 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amplitude Feature ExperimentationOptimizely 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 its Feature Testing capabilities, scoring an impressive 8.7, while Amplitude's score of 7.5 indicates it may not offer the same depth in this area. Reviewers mention that Optimizely's robust testing options allow for more comprehensive experimentation.
- Reviewers mention that Optimizely's Rollout & Rollback Control feature, with a score of 8.4, provides a seamless experience for managing changes, whereas Amplitude's lower score suggests it may lack the same level of control, leading to potential challenges during feature deployments.
- Users on G2 highlight that Optimizely's Multi-Environment Control feature, rated at 8.3, allows for effective testing across different environments, which is crucial for teams working in complex setups. In contrast, Amplitude's capabilities in this area are less emphasized, indicating a potential gap for users needing extensive environment management.
- G2 users report that the WYSIWYG Editor in Optimizely, with a score of 6.8, is less intuitive compared to Amplitude's offerings, which may lead to a steeper learning curve for new users. Reviewers mention that a more user-friendly interface in Amplitude enhances the overall user experience.
- Reviewers mention that Optimizely's Confidence Level scoring of 8.5 is a standout feature, providing users with reliable statistical validation for their experiments. In comparison, Amplitude's lower score in this area suggests it may not deliver the same level of confidence in results, which is critical for data-driven decision-making.
- Users say that the Analytics capabilities in Amplitude, with a score of 7.0, are more comprehensive in terms of reporting and insights compared to Optimizely's offerings. Reviewers highlight that Amplitude's analytics tools provide deeper insights into user behavior, which can be a significant advantage for teams focused on data analysis.
Pricing
Entry-Level Pricing
Amplitude Feature Experimentation
No pricing availableOptimizely Feature Experimentation
No pricing availableFree Trial
Amplitude Feature Experimentation
No trial information availableOptimizely Feature Experimentation
Free Trial is available
Ratings
Meets Requirements
8.2
13
8.1
79
Ease of Use
7.1
14
8.1
85
Ease of Setup
7.1
8
7.0
40
Ease of Admin
Not enough data
7.9
26
Quality of Support
7.4
11
8.1
67
Has the product been a good partner in doing business?
Not enough data
8.7
26
Product Direction (% positive)
7.5
14
7.9
71
Features by Category
Segmentation
Not enough data
Not enough data
Not enough data
Not enough data
Targeting
Not enough data
Not enough data
Not enough data
Not enough data
Triggered Content
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Content
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Agentic AI - Personalization Engines
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
Management
8.6
7
8.6
37
9.0
7
8.5
37
8.8
7
7.6
36
Functionality
8.6
7
8.6
37
9.5
7
8.8
38
9.5
7
7.6
37
Computing
8.0
10
Feature Not Available
6.1
12
6.5
27
7.9
11
7.6
29
Experimental Design
8.3
11
7.7
30
9.1
11
7.7
29
8.5
10
8.0
29
Analytics
8.5
12
7.1
29
6.5
9
Feature Not Available
Agentic AI - A/B Testing
6.7
5
Not enough data
7.7
5
Not enough data
7.0
5
Not enough data
7.0
5
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
Amplitude Feature Experimentation and Optimizely Feature Experimentation are categorized as A/B Testing, Personalization, Feature Management, and Mobile App Optimization
Unique Categories
Amplitude Feature Experimentation is categorized as Personalization Engines
Optimizely Feature Experimentation has no unique categories
Reviews
Reviewers' Company Size
Amplitude Feature Experimentation
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
31.8%
Information Technology and Services
9.1%
Hospital & Health Care
9.1%
Retail
4.5%
Real Estate
4.5%
Other
40.9%
Financial Services
16.4%
Computer Software
10.3%
Retail
6.0%
Information Technology and Services
6.0%
Real Estate
5.2%
Other
56.0%
Discussions
Amplitude Feature Experimentation 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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