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At a Glance
Market Segments
Enterprise (71.4% of reviews)
Mid-Market (47.8% of reviews)
Entry-Level Pricing
No pricing available
Contact Vendor
Braze AI Decisioning Studio™
Star Rating
(14)4.7 out of 5
Market Segments
Enterprise (71.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Braze AI Decisioning Studio™Optimizely 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 testing capabilities and user-friendly interface. In contrast, OfferFit shines even brighter with a perfect score of 10.0, with reviewers mentioning its advanced testing features that allow for more nuanced experimentation.
- Reviewers mention that OfferFit's Quality of Support is exceptional, scoring 9.7, with many users praising the responsiveness and helpfulness of the support team. Optimizely Web Experimentation, while still strong at 8.0, does not match the level of support that OfferFit provides, according to user feedback.
- Users on G2 report that OfferFit has a superior Product Direction score of 10.0, indicating a clear and positive trajectory for future updates and features. In comparison, Optimizely Web Experimentation's score of 7.7 suggests some uncertainty in its future development, as noted by reviewers.
- Reviewers mention that Optimizely Web Experimentation offers a better Ease of Setup with a score of 8.2, making it easier for teams to get started quickly. OfferFit, however, struggles in this area with a score of 6.7, as users report a more complex initial setup process.
- Users say that OfferFit's Behavioral Targeting capabilities are top-notch, scoring a perfect 10.0, which allows for highly personalized user experiences. Optimizely Web Experimentation, with a score of 7.6, does not provide the same level of granularity in targeting, according to user reviews.
- G2 users report that while Optimizely Web Experimentation has a strong Website Personalization score of 8.7, OfferFit falls short with a score of 6.7. Reviewers mention that Optimizely's personalization features are more intuitive and effective in creating tailored user experiences.
Pricing
Entry-Level Pricing
Braze AI Decisioning Studio™
No pricing availableOptimizely Web Experimentation
Enterprise
Contact Vendor
Customized For Your Business.
Free Trial
Braze AI Decisioning Studio™
No trial information availableOptimizely Web Experimentation
No trial information availableRatings
Meets Requirements
9.2
13
8.4
296
Ease of Use
8.1
14
8.1
309
Ease of Setup
6.7
11
8.0
155
Ease of Admin
8.3
6
8.2
124
Quality of Support
9.7
13
8.0
252
Has the product been a good partner in doing business?
10.0
7
7.9
119
Product Direction (% positive)
10.0
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
10.0
5
8.8
21
9.0
5
8.1
14
Targeting
10.0
5
7.6
21
9.3
5
7.8
20
Triggered Content
8.0
5
7.8
16
7.0
5
Feature Not Available
7.0
5
7.4
13
Personalized Content
10.0
5
8.0
15
8.3
5
8.1
16
6.7
5
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
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
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
Categories
Categories
Shared Categories
Braze AI Decisioning Studio™ and Optimizely Web Experimentation are categorized as Personalization, Personalization Engines, and E-Commerce Personalization
Unique Categories
Braze AI Decisioning Studio™ is categorized as Data Science and Machine Learning Platforms
Optimizely Web Experimentation is categorized as Feature Management, Customer Data Platform (CDP), A/B Testing, and Configuration Management
Reviews
Reviewers' Company Size
Braze AI Decisioning Studio™
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
Telecommunications
21.4%
Oil & Energy
14.3%
Financial Services
14.3%
Banking
14.3%
Utilities
7.1%
Other
28.6%
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
Braze AI Decisioning Studio™ 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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