Compare Optimizely Feature Experimentation and VWO Testing

At a Glance
Optimizely Feature Experimentation
Optimizely Feature Experimentation
Star Rating
(117)4.3 out of 5
Market Segments
Mid-Market (50.4% of reviews)
Information
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Optimizely Feature Experimentation
VWO Testing
VWO Testing
Star Rating
(927)4.4 out of 5
Market Segments
Mid-Market (56.6% of reviews)
Information
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plans
AI Generated Summary
AI-generated. Powered by real user reviews.
  • G2 reviewers report that VWO Testing excels in user satisfaction, boasting a significantly higher overall score compared to Optimizely Feature Experimentation. Users appreciate its intuitive interface and straightforward setup process, making it a preferred choice for those serious about conversion optimization.
  • Users say that VWO Testing's visual editor simplifies the creation of A/B tests, even for those without coding skills. This feature, along with clear reporting, enhances the user experience, allowing teams to easily understand which variations perform better.
  • Reviewers mention that while Optimizely Feature Experimentation is designed for data-driven teams, it faces challenges in ease of setup. Users have noted that the initial configuration can be complex, which may hinder quick implementation compared to VWO Testing's more user-friendly approach.
  • According to verified reviews, VWO Testing stands out for its high-quality support, receiving praise for its responsiveness and helpfulness. In contrast, Optimizely Feature Experimentation's support is viewed as adequate but not as robust, which can be a drawback for teams needing immediate assistance.
  • Users highlight that VWO Testing's comprehensive A/B testing capabilities, including split URL testing and goal tracking, provide a significant advantage for marketers looking to optimize their web pages effectively. Optimizely Feature Experimentation, while offering feature flags and multi-variant testing, does not match the same level of user-friendliness in these areas.
  • Reviewers note that VWO Testing's recent user feedback reflects a consistent positive experience, with users frequently mentioning its reliability and ease of use. In contrast, Optimizely Feature Experimentation has not received recent reviews, which may indicate a lack of current user engagement or satisfaction.
Pricing
Entry-Level Pricing
Optimizely Feature Experimentation
No pricing available
VWO Testing
GROWTH
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Free Trial
Optimizely Feature Experimentation
Free Trial is available
VWO Testing
Free Trial is available
Ratings
Meets Requirements
8.1
79
8.5
794
Ease of Use
8.1
86
8.3
803
Ease of Setup
7.0
40
8.6
525
Ease of Admin
7.9
26
8.7
363
Quality of Support
8.1
67
9.0
766
Has the product been a good partner in doing business?
8.7
26
8.9
360
Product Direction (% positive)
7.9
71
9.0
790
Features by Category
E-Commerce PersonalizationHide 23 FeaturesShow 23 Features
Not enough data
7.6
82
Visitor Behavior
Not enough data
8.2
76
Not enough data
8.2
74
Not enough data
7.6
67
Templates
Not enough data
7.5
68
Not enough data
8.0
74
Not enough data
8.4
72
Personalization
Not enough data
7.6
68
Not enough data
7.9
63
Not enough data
7.0
63
Not enough data
6.8
60
Not enough data
7.0
63
Not enough data
6.9
60
Not enough data
9.0
78
Not enough data
7.7
61
Multichannel
Not enough data
7.7
69
Not enough data
5.5
56
Not enough data
7.4
61
Administration
Not enough data
7.5
60
Not enough data
8.2
73
Not enough data
7.5
70
Not enough data
7.7
69
Agentic AI - E-Commerce Personalization
Not enough data
7.2
10
Not enough data
8.0
10
Personalization EnginesHide 16 FeaturesShow 16 Features
Not enough data
8.3
11
Segmentation
Not enough data
8.8
11
Not enough data
7.9
8
Targeting
Not enough data
8.7
10
Not enough data
8.3
10
Triggered Content
Not enough data
8.8
7
Not enough data
Not enough data
Not enough data
7.7
5
Personalized Content
Not enough data
7.7
5
Not enough data
Not enough data
Not enough data
8.5
9
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
8.3
38
8.1
71
Management
8.6
37
7.8
53
8.5
37
7.8
55
7.6
36
8.4
62
Functionality
8.6
37
8.0
57
8.8
38
8.5
65
7.6
37
8.0
62
7.4
30
7.6
541
Computing
Feature Not Available
8.0
435
6.5
27
6.7
389
7.6
29
7.6
467
Experimental Design
7.7
30
8.4
464
7.7
29
8.6
456
8.0
29
8.2
448
Analytics
7.1
29
8.2
515
Feature Not Available
7.6
477
Agentic AI - A/B Testing
Not enough data
6.5
79
Not enough data
7.1
78
Not enough data
6.8
78
Not enough data
7.2
78
Not enough data
7.1
13
Agentic AI - Personalization
Not enough data
7.2
13
Not enough data
7.2
13
Not enough data
6.9
13
Not enough data
6.9
13
Not enough data
6.7
13
Not enough data
7.4
13
Mobile App OptimizationHide 15 FeaturesShow 15 Features
7.8
19
8.6
33
Variation Testing
8.2
18
9.3
32
Feature Not Available
8.1
27
8.5
18
8.7
30
7.4
18
8.8
30
8.5
17
8.3
30
7.4
18
8.5
28
Reporting
7.5
17
8.6
29
7.9
17
8.6
32
Personalization
7.6
17
8.3
27
7.6
17
8.1
26
7.9
16
8.5
24
Administration
7.3
18
8.5
24
7.6
16
8.3
22
8.5
16
8.9
29
7.4
16
9.0
28
Categories
Categories
Shared Categories
Optimizely Feature Experimentation
Optimizely Feature Experimentation
VWO Testing
VWO Testing
Optimizely Feature Experimentation and VWO Testing are categorized as Feature Management, A/B Testing, Mobile App Optimization, and Personalization
Unique Categories
Optimizely Feature Experimentation
Optimizely Feature Experimentation has no unique categories
VWO Testing
VWO Testing is categorized as Personalization Engines and E-Commerce Personalization
Reviews
Reviewers' Company Size
Optimizely Feature Experimentation
Optimizely Feature Experimentation
Small-Business(50 or fewer emp.)
26.5%
Mid-Market(51-1000 emp.)
50.4%
Enterprise(> 1000 emp.)
23.1%
VWO Testing
VWO Testing
Small-Business(50 or fewer emp.)
25.6%
Mid-Market(51-1000 emp.)
56.6%
Enterprise(> 1000 emp.)
17.8%
Reviewers' Industry
Optimizely Feature Experimentation
Optimizely Feature Experimentation
Financial Services
17.1%
Computer Software
10.3%
Retail
6.0%
Information Technology and Services
6.0%
Real Estate
5.1%
Other
55.6%
VWO Testing
VWO Testing
Computer Software
11.7%
Marketing and Advertising
9.9%
Retail
8.3%
Information Technology and Services
6.5%
Leisure, Travel & Tourism
4.6%
Other
58.9%
Alternatives
Optimizely Feature Experimentation
Optimizely Feature Experimentation Alternatives
Statsig
Statsig
Add Statsig
AB Tasty
AB Tasty
Add AB Tasty
LaunchDarkly
LaunchDarkly
Add LaunchDarkly
PostHog
PostHog
Add PostHog
VWO Testing
VWO Testing Alternatives
AB Tasty
AB Tasty
Add AB Tasty
Optimizely Web Experimentation
Optimizely Web Experimentation
Add Optimizely Web Experimentation
Kameleoon
Kameleoon
Add Kameleoon
Monetate
Monetate
Add Monetate
Discussions
Optimizely Feature Experimentation
Optimizely Feature Experimentation Discussions
Is optimizely open source?
1 Comment
Mithun M.
MM
No. It is not.Read more
Monty the Mongoose crying
Optimizely Feature Experimentation has no more discussions with answers
VWO Testing
VWO Testing Discussions
How scalable is Visual Website Optimizer?
1 Comment
Brian S.
BS
I've used VWO on a few different sites and its pretty scablable, as long as the pagetypes align with a URL string, you should be able to test at...Read more
How do I set up click and scrollmaps?
1 Comment
Sathyajith V.
SV
Heatmaps are always-on in VWO Insights. It does not require any configuration. It runs continuously and setup is as simple as a toggle-on. Scrollmaps present...Read more
Will there be any improvement of setting up goals?
1 Comment
Sathyajith V.
SV
A general ‘add to cart’ goal can be setup and segmented based on conversion URL to narrow down to the specific product was added to cart. The list of...Read more