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Compare BrightInfo and Optimizely Web Experimentation 
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At a Glance
Market Segments
Small-Business (76.9% of reviews)
Mid-Market (47.8% of reviews)
Entry-Level Pricing
No pricing available
Contact Vendor
BrightInfo
Star Rating
(14)3.9 out of 5
Market Segments
Small-Business (76.9% of reviews)
Entry-Level Pricing
No pricing available
Learn more about BrightInfoOptimizely 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 A/B Testing with a score of 8.8, highlighting its robust capabilities for running experiments seamlessly. In contrast, BrightInfo, while offering A/B Testing, does not match this level of sophistication, leading to a less favorable user experience.
- Reviewers mention that Optimizely's Data Enrichment feature stands out with a score of 9.3, allowing for comprehensive visitor insights. BrightInfo, however, lacks similar depth in data sourcing, which can limit the effectiveness of its targeting strategies.
- G2 users indicate that Optimizely's ease of use is significantly higher at 8.2 compared to BrightInfo's 6.9. This difference suggests that users find Optimizely more intuitive and user-friendly, which is crucial for teams looking to implement experimentation without extensive training.
- Users on G2 highlight Optimizely's strong support quality with a score of 8.0, noting that the support team is responsive and helpful. BrightInfo's support, while rated slightly higher at 8.1, does not have as many reviews, which may indicate less consistent user experiences.
- Reviewers say that Optimizely's feature testing capabilities are robust, scoring 8.5, which allows for thorough experimentation across various environments. BrightInfo, while offering some testing features, does not provide the same level of flexibility or control, which can hinder experimentation efforts.
- Users report that Optimizely's personalization engine is rated at 8.1, enabling tailored experiences for visitors effectively. In contrast, BrightInfo's personalization features, while present, do not deliver the same level of customization, which can impact user engagement and conversion rates.
Pricing
Entry-Level Pricing
BrightInfo
No pricing availableOptimizely Web Experimentation
Enterprise
Contact Vendor
Customized For Your Business.
Free Trial
BrightInfo
Free Trial is available
Optimizely Web Experimentation
No trial information availableRatings
Meets Requirements
7.4
7
8.4
296
Ease of Use
6.9
7
8.1
309
Ease of Setup
Not enough data
8.0
155
Ease of Admin
Not enough data
8.2
124
Quality of Support
8.1
7
8.0
252
Has the product been a good partner in doing business?
Not enough data
7.9
119
Product Direction (% positive)
5.0
7
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
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
Not enough data
8.3
24
Not enough data
8.3
25
Not enough data
8.0
23
Functionality
Not enough data
8.0
25
Not enough data
8.5
26
Not enough data
7.6
26
Computing
Not enough data
7.9
67
Not enough data
6.4
61
Not enough data
6.9
72
Experimental Design
Not enough data
8.4
70
Not enough data
8.7
69
Not enough data
8.7
69
Analytics
Not enough data
8.2
68
Not enough data
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
Agentic AI - Marketing Account Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Lead Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Lead Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Marketing Campaigns
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 Availability - Marketing Account Intelligence
Not enough data
Not enough data
Data Accuracy - Marketing Account Intelligence
Not enough data
Not enough data
Categories
Categories
Shared Categories
BrightInfo and Optimizely Web Experimentation are categorized as Personalization, A/B Testing, and Personalization Engines
Unique Categories
BrightInfo is categorized as Marketing Account Intelligence
Optimizely Web Experimentation is categorized as Feature Management, E-Commerce Personalization, Customer Data Platform (CDP), and Configuration Management
Reviews
Reviewers' Company Size
BrightInfo
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
15.4%
Writing and Editing
7.7%
Real Estate
7.7%
Non-Profit Organization Management
7.7%
Internet
7.7%
Other
53.8%
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%
Alternatives
Discussions
BrightInfo 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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