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Compare Eppo and Optimizely Web Experimentation 
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At a Glance
Market Segments
Mid-Market (73.2% of reviews)
Mid-Market (47.8% of reviews)
Entry-Level Pricing
No pricing available
Contact Vendor
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 Web Experimentation
Star Rating
(408)4.2 out of 5
Market Segments
Mid-Market (47.8% of reviews)
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 its Ease of Use with a score of 8.2, making it accessible for teams without extensive technical expertise, while Eppo shines even brighter with a score of 9.1, indicating a more intuitive interface that users find easier to navigate.
- Reviewers mention that Eppo's Quality of Support is exceptional, scoring 9.6, with many users highlighting the responsiveness and helpfulness of the support team, whereas Optimizely's score of 8.0 suggests room for improvement in customer service.
- G2 users note that Eppo offers superior Data Enrichment capabilities with a score of 9.3, allowing for more comprehensive insights into user behavior, while Optimizely's score of 8.4 in this area indicates it may not provide as robust data integration features.
- Users on G2 report that Eppo's Multivariate Testing Capacities are impressive, scoring 9.2, which allows for more complex experiments compared to Optimizely's score of 8.2, suggesting that Eppo may be better suited for advanced testing scenarios.
- Reviewers mention that Optimizely's Segmentation features, with a score of 8.8, are strong, but Eppo's overall analytics capabilities, particularly in Reporting and Analytics with a score of 9.1, provide deeper insights that can enhance marketing strategies.
- Users say that while both platforms offer Personalization features, Eppo's scoring of 8.1 in Personalized Messaging and 8.0 in Recommendation Engine indicates a more refined approach to delivering tailored content compared to Optimizely's slightly lower scores in similar areas.
Pricing
Entry-Level Pricing
Eppo
No pricing availableOptimizely Web Experimentation
Enterprise
Contact Vendor
Customized For Your Business.
Free Trial
Eppo
Free Trial is available
Optimizely Web Experimentation
No trial information availableRatings
Meets Requirements
9.1
38
8.4
296
Ease of Use
9.0
40
8.1
309
Ease of Setup
8.8
13
8.0
155
Ease of Admin
9.1
9
8.2
124
Quality of Support
9.6
35
8.0
252
Has the product been a good partner in doing business?
9.8
10
7.9
119
Product Direction (% positive)
9.7
40
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
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
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
Not enough data
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
Not enough data
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
7.1
12
8.3
24
7.1
7
8.3
25
9.0
16
8.0
23
Functionality
7.1
7
8.0
25
8.7
15
8.5
26
7.8
15
7.6
26
Computing
8.7
19
7.9
67
6.0
10
6.4
61
7.8
25
6.9
72
Experimental Design
9.2
22
8.4
70
9.1
24
8.7
69
8.9
18
8.7
69
Analytics
9.1
30
8.2
68
Feature Not Available
5.8
62
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
Categories
Categories
Shared Categories
Eppo and Optimizely Web Experimentation are categorized as Feature Management and A/B Testing
Unique Categories
Eppo is categorized as Product Analytics and Other Analytics
Optimizely Web Experimentation is categorized as Personalization Engines, E-Commerce Personalization, Customer Data Platform (CDP), Configuration Management, and Personalization
Reviews
Reviewers' Company Size
Eppo
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
22.0%
Information Technology and Services
17.1%
Insurance
9.8%
Entertainment
7.3%
Internet
4.9%
Other
39.0%
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
Eppo 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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