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Compare Amplitude Feature Experimentation and Optimizely Web Experimentation 
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At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Mid-Market (47.8% of reviews)
Entry-Level Pricing
No pricing available
Contact Vendor
Amplitude Feature Experimentation
Star Rating
(23)4.0 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amplitude Feature ExperimentationOptimizely Web Experimentation
Star Rating
(408)4.2 out of 5
Market Segments
Mid-Market (47.8% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Vendor
Learn more about Optimizely Web ExperimentationSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Optimizely Web Experimentation excels in A/B Testing with a score of 8.8, highlighting its robust capabilities for running experiments efficiently. In contrast, Amplitude Feature Experimentation, while offering feature testing at a score of 8.5, does not match the depth of A/B testing functionalities that Optimizely provides.
- Reviewers mention that Optimizely's Data Enrichment feature stands out with a score of 9.3, allowing for comprehensive visitor behavior monitoring and segmentation. Amplitude, however, lacks a comparable level of data enrichment, which may limit its effectiveness in targeted marketing strategies.
- G2 users indicate that the ease of use for Optimizely Web Experimentation is rated at 8.2, making it user-friendly for teams without extensive technical expertise. On the other hand, Amplitude Feature Experimentation has not been rated for ease of use, which could be a concern for potential users looking for a straightforward interface.
- Users on G2 highlight that Optimizely's Rollout & Rollback Control feature scores an impressive 8.6, providing users with confidence in managing experiments. Amplitude's capabilities in this area are less emphasized, which may lead to challenges in experiment management.
- Reviewers mention that Optimizely's Customization feature is rated at 8.8, allowing for tailored experiences that meet specific business needs. In contrast, Amplitude's customization options are not as robust, which could limit flexibility for users looking to create unique testing environments.
- Users say that Optimizely's Reporting and Analytics feature scores 8.2, providing valuable insights into experiment performance. Amplitude's analytics capabilities, while present, do not receive the same level of praise, suggesting that users may find Optimizely's reporting more comprehensive and actionable.
Pricing
Entry-Level Pricing
Amplitude Feature Experimentation
No pricing availableOptimizely Web Experimentation
Enterprise
Contact Vendor
Customized For Your Business.
Free Trial
Amplitude Feature Experimentation
No trial information availableOptimizely Web Experimentation
No trial information availableRatings
Meets Requirements
8.2
13
8.4
296
Ease of Use
7.1
14
8.1
309
Ease of Setup
7.1
8
8.0
155
Ease of Admin
Not enough data
8.2
124
Quality of Support
7.4
11
8.0
252
Has the product been a good partner in doing business?
Not enough data
7.9
119
Product Direction (% positive)
7.5
14
7.8
271
Features by Category
Visitor Behavior
Not enough data
7.8
24
|
Verified
Not enough data
8.5
26
|
Verified
Not enough data
7.6
22
|
Verified
Templates
Not enough data
7.8
24
|
Verified
Not enough data
8.3
23
|
Verified
Not enough data
8.4
24
|
Verified
Personalization
Not enough data
7.6
23
|
Verified
Not enough data
7.7
26
|
Verified
Not enough data
7.9
21
|
Verified
Not enough data
Feature Not Available
Not enough data
7.5
20
|
Verified
Not enough data
7.0
19
|
Verified
Not enough data
9.0
24
|
Verified
Not enough data
8.6
22
|
Verified
Multichannel
Not enough data
8.5
26
|
Verified
Not enough data
6.9
20
|
Verified
Not enough data
8.9
25
|
Verified
Administration
Not enough data
8.0
22
|
Verified
Not enough data
8.5
22
|
Verified
Not enough data
8.2
22
|
Verified
Not enough data
8.1
23
|
Verified
Agentic AI - E-Commerce Personalization
Not enough data
Not enough data
Not enough data
Not enough data
Segmentation
Not enough data
8.8
21
Not enough data
8.1
14
Targeting
Not enough data
7.6
21
Not enough data
7.8
20
Triggered Content
Feature Not Available
7.8
16
Not enough data
Feature Not Available
Not enough data
7.4
13
Personalized Content
Not enough data
8.0
15
Not enough data
8.1
16
Feature Not Available
8.7
18
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
Data Sourcing
Not enough data
9.3
5
Not enough data
8.0
5
Not enough data
Not enough data
Not enough data
7.2
6
Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
8.6
7
8.3
24
9.0
7
8.3
25
8.8
7
8.0
23
Functionality
8.6
7
8.0
25
9.5
7
8.5
26
9.5
7
7.6
26
Computing
8.0
10
7.9
67
6.1
12
6.4
61
7.9
11
6.9
72
Experimental Design
8.3
11
8.4
70
9.1
11
8.7
69
8.5
10
8.7
69
Analytics
8.5
12
8.2
68
6.5
9
5.8
62
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
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
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Personalization
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Amplitude Feature Experimentation and Optimizely Web Experimentation are categorized as A/B Testing, Personalization, Personalization Engines, and Feature Management
Unique Categories
Amplitude Feature Experimentation is categorized as Mobile App Optimization
Optimizely Web Experimentation is categorized as E-Commerce Personalization, Customer Data Platform (CDP), and Configuration Management
Reviews
Reviewers' Company Size
Amplitude Feature Experimentation
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Optimizely Web 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%
Computer Software
11.1%
Information Technology and Services
9.3%
Financial Services
9.1%
Retail
8.1%
Marketing and Advertising
8.1%
Other
54.4%
Discussions
Amplitude Feature Experimentation has no discussions with answers
How does A/B Testing work?
1 Comment
TS
A/B testing is when you have a least two variations of something you want to test. Typically you have a control (which may be the current variant) and then...Read more
What are some ways that I can use A/B testing?
1 Comment
TS
Testing is ongoing and endless. We test new features such as additional form fields in a lead form. We test multiple CTAs to decide which produces the best...Read more
Optimizely Web Experimentation has no more discussions with answers
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