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Compare Optimizely Web Experimentation and Statsig 
Featured Products
At a Glance
Market Segments
Mid-Market (47.8% of reviews)
Mid-Market (45.3% of reviews)
Entry-Level Pricing
Contact Vendor
Starting at $0.00 Per Month
Optimizely Web Experimentation
Star Rating
(409)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 ExperimentationStatsig
Star Rating
(345)4.7 out of 5
Market Segments
Mid-Market (45.3% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $0.00 Per Month
Free Trial is available
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Statsig excels in user satisfaction, boasting a higher overall score compared to Optimizely Web Experimentation. Users appreciate Statsig's intuitive setup process, which allows for quick experimentation without extensive technical knowledge, making it accessible for teams looking to adopt data-driven decision-making.
- According to verified reviews, Optimizely Web Experimentation is praised for its user-friendliness and ease of setup, particularly for non-technical users. Reviewers highlight the platform's ability to provide real data, which helps teams move away from assumptions and make informed decisions.
- Users say that Statsig's robust feature set, including strong statistical rigor and minimal engineering overhead, makes it a powerful tool for running experiments at scale. This capability is particularly beneficial for organizations looking to implement complex testing without overwhelming their teams.
- Reviewers mention that while Optimizely Web Experimentation offers flexibility for developers to implement experiments directly in code, some users find that it can struggle to meet specific workflow needs, leading to configuration challenges that may hinder efficiency.
- G2 reviewers highlight that Statsig's focus on fast and reliable experimentation allows teams to quickly verify that their tests are functioning as expected, which is crucial for maintaining momentum in a fast-paced development environment.
- According to recent user feedback, while Optimizely Web Experimentation provides a solid foundation for A/B testing, it faces challenges in feature management compared to Statsig, which offers a more comprehensive approach to feature flags and impact measurement, making it easier for teams to manage their experiments effectively.
Pricing
Entry-Level Pricing
Optimizely Web Experimentation
Enterprise
Contact Vendor
Customized For Your Business.
Statsig
Experimentation
Starting at $0.00
Per Month
The world's most advanced product experimentation platform
- A/B/n experimentation
- Cloud deployment
- Warehouse Native deployment
Free Trial
Optimizely Web Experimentation
No trial information availableStatsig
Free Trial is available
Ratings
Meets Requirements
8.4
296
9.1
323
Ease of Use
8.1
309
8.7
334
Ease of Setup
8.0
155
8.5
263
Ease of Admin
8.2
124
9.0
77
Quality of Support
8.0
252
9.2
266
Has the product been a good partner in doing business?
7.9
119
9.6
78
Product Direction (% positive)
7.8
271
9.4
330
Features by Category
User Behavior
Not enough data
9.0
10
Not enough data
8.7
9
Not enough data
8.0
9
A/B Testing
Not enough data
8.9
9
Not enough data
9.4
8
Not enough data
9.4
8
Not enough data
7.9
8
Visitor Information
Not enough data
8.5
10
Not enough data
8.1
8
Agentic AI - Session Replay
Not enough data
Not enough data
Visitor Behavior
7.8
24
|
Verified
Not enough data
8.5
26
|
Verified
Not enough data
7.6
22
|
Verified
Not enough data
Templates
7.8
24
|
Verified
Not enough data
8.3
23
|
Verified
Not enough data
8.4
24
|
Verified
Not enough data
Personalization
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
Not enough data
Multichannel
8.5
26
|
Verified
Not enough data
6.9
20
|
Verified
Not enough data
8.9
25
|
Verified
Not enough data
Administration
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
Not enough data
Agentic AI - E-Commerce Personalization
Not enough data
Not enough data
Not enough data
Not enough data
Product Analytics
Not enough data
8.4
104
Not enough data
8.6
106
Not enough data
8.3
104
Not enough data
8.3
102
Not enough data
7.4
100
Not enough data
7.6
98
Not enough data
7.3
98
Not enough data
7.8
100
Agentic AI - Product Analytics
Not enough data
7.3
42
Not enough data
7.3
42
Not enough data
7.4
43
Not enough data
7.5
41
Segmentation
8.8
21
Not enough data
8.1
14
Not enough data
Targeting
7.6
21
Not enough data
7.8
20
Not enough data
Triggered Content
7.8
16
Not enough data
Feature Not Available
Not enough data
7.4
13
Not enough data
Personalized Content
8.0
15
Not enough data
8.1
16
Not enough data
8.7
18
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
Data Sourcing
9.3
5
Not enough data
8.0
5
Not enough data
Not enough data
Not enough data
7.2
6
Not enough data
Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
8.3
24
9.2
190
8.3
25
9.1
177
8.0
23
8.6
178
Functionality
8.0
25
8.9
179
8.5
26
9.4
188
7.6
26
8.7
168
Computing
7.9
67
6.9
197
6.4
61
6.8
189
6.9
72
7.6
210
Experimental Design
8.4
70
8.9
240
8.7
69
9.1
236
8.7
69
8.6
225
Analytics
8.2
68
8.8
248
5.8
62
6.7
205
Agentic AI - A/B Testing
Not enough data
7.6
75
Not enough data
7.9
76
Not enough data
7.3
74
Not enough data
7.2
76
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
Categories
Categories
Shared Categories
Optimizely Web Experimentation and Statsig are categorized as Feature Management and A/B Testing
Unique Categories
Optimizely Web Experimentation is categorized as Personalization Engines, E-Commerce Personalization, Customer Data Platform (CDP), Configuration Management, and Personalization
Statsig is categorized as Product Analytics and Session Replay
Reviews
Reviewers' Company Size
Optimizely Web Experimentation
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Statsig
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
11.1%
Information Technology and Services
9.3%
Financial Services
9.1%
Retail
8.1%
Marketing and Advertising
8.1%
Other
54.4%
Computer Software
27.2%
Information Technology and Services
16.6%
Financial Services
8.6%
Health, Wellness and Fitness
4.1%
Sports
3.0%
Other
40.5%
Alternatives
Discussions
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
Statsig has no discussions with answers
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