Compare AB Tasty and Optimizely Web Experimentation
At a Glance
Market Segments
Mid-Market (50.9% of reviews)
Mid-Market (47.8% of reviews)
Entry-Level Pricing
Contact Us for Pricing
Contact Vendor
AB Tasty
Star Rating
(409)4.4 out of 5
Market Segments
Mid-Market (50.9% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us for Pricing
Browse all 2 pricing plans
Optimizely Web Experimentation
Star Rating
(411)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 Experimentation
Summary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that AB Tasty excels in user support, with a significantly higher satisfaction score compared to Optimizely Web Experimentation. Users appreciate the responsive assistance, noting that AB Tasty's support team is proactive and helpful, which enhances their overall experience.
- Users say that Optimizely Web Experimentation is particularly user-friendly and easy to set up, making it accessible even for those without technical backgrounds. Reviewers highlight the platform's intuitive design, which allows for quick implementation of experiments without extensive training.
- According to verified reviews, AB Tasty stands out for its personalization capabilities, allowing users to easily optimize digital experiences. Reviewers commend its features that enable testing before full releases, which helps in monitoring user behavior effectively.
- Reviewers mention that while both platforms offer robust A/B testing features, Optimizely Web Experimentation provides a more flexible testing environment. Users appreciate the ability to implement experiments directly in code, allowing for rapid testing and iteration.
- G2 reviewers highlight that AB Tasty's ease of use is a significant advantage, with many users noting that it empowers marketing teams to independently manage content without needing developer assistance. This capability saves time and streamlines workflows.
- Users report that while Optimizely Web Experimentation has strong features for data-driven decision-making, it sometimes lacks the depth of analytics that AB Tasty offers. Reviewers express a desire for more comprehensive reporting tools to better understand user interactions.
Pricing
Entry-Level Pricing
AB Tasty
Essentials
Contact Us for Pricing
Experiment & Personalize, Easy-to-Use, Advanced Targeting & Modifications
- A/B, split & funnel testing
- Personalization campaigns
- Visual and code editor, preview for QA
Optimizely Web Experimentation
Enterprise
Contact Vendor
Customized For Your Business.
Free Trial
AB Tasty
No trial information availableOptimizely Web Experimentation
No trial information availableRatings
Meets Requirements
8.5
377
8.4
296
Ease of Use
8.4
378
8.1
309
Ease of Setup
8.3
249
8.0
155
Ease of Admin
8.9
150
8.2
123
Quality of Support
9.3
373
8.0
252
Has the product been a good partner in doing business?
9.1
152
7.9
118
Product Direction (% positive)
9.1
374
7.8
271
Features by Category
Visitor Behavior
7.7
162
|
Verified
7.8
24
|
Verified
8.1
173
|
Verified
8.5
26
|
Verified
7.0
146
|
Verified
7.6
22
|
Verified
Templates
7.5
150
|
Verified
7.8
24
|
Verified
8.0
168
|
Verified
8.3
23
|
Verified
8.2
167
|
Verified
8.4
24
|
Verified
Personalization
7.2
144
|
Verified
7.6
23
|
Verified
7.8
148
|
Verified
7.7
26
|
Verified
7.2
124
|
Verified
7.9
21
|
Verified
Feature Not Available
Feature Not Available
7.2
120
|
Verified
7.5
20
|
Verified
6.8
116
|
Verified
7.0
19
|
Verified
9.1
165
|
Verified
9.0
24
|
Verified
8.0
133
|
Verified
8.6
22
|
Verified
Multichannel
8.2
149
|
Verified
8.5
26
|
Verified
5.5
96
6.9
20
|
Verified
7.9
137
|
Verified
8.9
25
|
Verified
Administration
7.2
121
|
Verified
8.0
22
|
Verified
7.7
142
|
Verified
8.5
22
|
Verified
7.5
126
|
Verified
8.2
22
|
Verified
7.5
132
|
Verified
8.1
23
|
Verified
Agentic AI - E-Commerce Personalization
6.2
50
Not enough data
6.2
49
Not enough data
Segmentation
8.8
7
8.8
21
7.3
5
8.1
14
Targeting
8.9
6
7.6
21
8.9
6
7.8
20
Triggered Content
9.0
5
7.8
16
Feature Not Available
Feature Not Available
8.0
5
7.4
13
Personalized Content
Not enough data
8.0
15
Not enough data
8.1
16
9.2
6
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
8.1
31
8.3
24
7.7
24
8.3
25
7.6
30
8.0
23
Functionality
7.5
27
8.0
25
8.3
32
8.5
26
8.0
28
7.6
26
Computing
7.7
235
7.9
67
6.4
182
6.4
61
7.3
230
7.0
73
Experimental Design
8.2
235
8.4
70
8.2
217
8.7
69
8.3
235
8.7
69
Analytics
7.8
249
8.2
69
5.5
190
5.8
62
Agentic AI - A/B Testing
5.9
85
Not enough data
6.2
81
Not enough data
6.0
82
Not enough data
6.2
81
Not enough data
Usability - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
7.7
5
Not enough data
Not enough data
Not enough data
Performance Optimization - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security & Compliance - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Features - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Detection Features - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Personalization
6.1
33
Not enough data
6.0
32
Not enough data
6.0
32
Not enough data
6.4
32
Not enough data
5.9
31
Not enough data
6.6
33
Not enough data
Variation Testing
9.1
24
Not enough data
7.4
22
Not enough data
8.5
24
Not enough data
9.0
23
Not enough data
8.3
23
Not enough data
8.2
20
Not enough data
Reporting
8.3
24
Not enough data
8.2
24
Not enough data
Personalization
8.9
20
Not enough data
8.5
20
Not enough data
8.1
20
Not enough data
Administration
8.2
19
Not enough data
8.2
22
Not enough data
8.5
22
Not enough data
8.8
22
Not enough data
Categories
Categories
Shared Categories
AB Tasty and Optimizely Web Experimentation are categorized as Feature Management, Personalization, Personalization Engines, E-Commerce Personalization, and A/B Testing
Unique Categories
AB Tasty is categorized as Mobile App Optimization and Emotion AI
Optimizely Web Experimentation is categorized as Customer Data Platform (CDP) and Configuration Management
Reviews
Reviewers' Company Size
AB Tasty
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
Retail
14.5%
Cosmetics
7.5%
Leisure, Travel & Tourism
5.7%
Apparel & Fashion
4.5%
Consumer Goods
4.2%
Other
63.6%
Computer Software
11.1%
Information Technology and Services
9.3%
Financial Services
9.1%
Marketing and Advertising
8.1%
Retail
8.1%
Other
54.4%
Alternatives
Discussions
What are some examples of how you have used the personalization features?
1 Comment
AM
AB Tasty has many use cases across industries to improve the sales conversion rate.Read more
Can I carry out tests without the help of my technical teams?
1 Comment
Official Response from AB Tasty
Yes, that’s the whole idea behind AB Tasty. You are in the driving seat of your website so you can be independent, modify your pages, and set up your tests...Read more
How does AB Tasty use the data it collects?
1 Comment
Official Response from AB Tasty
When a contract is signed between AB Tasty and the customer, it is specified that AB Tasty processes data collected on users, but it is not the owner: we...Read more
What are some ways that I can use A/B testing?
1 Comment
Official Response from Optimizely Web Experimentation
The following is a list of ideas to get you started with testing. A/B testing best practices for what to test can vary by industry, so the ideas are broken...Read more
How does A/B Testing work?
1 Comment
Official Response from Optimizely Web Experimentation
In an A/B test, you take a webpage or app screen and modify it to create a second version of the same page. This change can be as simple as a single headline...Read more
Optimizely Web Experimentation has no more discussions with answers
