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Compare ABsmartly and Optimizely Web Experimentation 
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At a Glance
Market Segments
Mid-Market (53.8% of reviews)
Mid-Market (47.8% of reviews)
Entry-Level Pricing
Starting at €60,000.00 Per Year
Contact Vendor
ABsmartly
Star Rating
(14)4.6 out of 5
Market Segments
Mid-Market (53.8% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at €60,000.00 Per Year
Learn more about ABsmartlyOptimizely 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 9.5, indicating a robust feature set that allows for detailed experimentation. In contrast, ABsmartly also performs well but does not match this level of user satisfaction in this area.
- Reviewers mention that ABsmartly shines in Quality of Support, achieving a score of 9.7, which is significantly higher than Optimizely's score of 8.0. This suggests that users feel more supported and valued when using ABsmartly.
- G2 users highlight that Optimizely Web Experimentation has a strong Data Enrichment capability with a score of 9.3, allowing for better insights and targeted marketing strategies, while ABsmartly does not provide comparable features in this area.
- Users on G2 report that ABsmartly offers superior Product Direction with a perfect score of 10.0, indicating a clear vision and roadmap that resonates well with its users, whereas Optimizely scores lower at 7.7.
- Reviewers mention that Optimizely Web Experimentation provides a more user-friendly WYSIWYG Editor experience, scoring 7.7, which is essential for users who prefer a visual approach to experimentation. However, ABsmartly does not have a comparable feature that stands out.
- Users say that ABsmartly has a more comprehensive approach to Mobile Testing, scoring 8.4, which is crucial for businesses focusing on mobile optimization, while Optimizely does not emphasize this area as strongly.
Pricing
Entry-Level Pricing
ABsmartly
ABsmartly platform
Starting at €60,000.00
Per Year
𝗡𝗼 𝗽𝗮𝗰𝗸𝗮𝗴𝗲𝘀 𝗼𝗿 𝘁𝗶𝗲𝗿𝘀 𝘁𝗼 𝗰𝗼𝗺𝗽𝗮𝗿𝗲; 𝗮𝗹𝗹 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗳𝗼𝗿 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲.
𝗨𝗻𝗹𝗶𝗺𝗶𝘁𝗲𝗱 𝘂𝘀𝗲𝗿𝘀, 𝘂𝗻𝗹𝗶𝗺𝗶𝘁𝗲𝗱 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻.
With our flexible, events-based pricing model, clients have unlimited experiments, metrics and platform users, and they pay per event. We have 2 categories of billable events: Exposure events and Goal events. Our event-based plans start at €60,000/year for 50 Million events per month. We include onboarding, training and support in our pricing at no extra cost.
- Unlimited features flags
- Unlimited mobile and web experiments
- Unlimited Goals and Metrics
Optimizely Web Experimentation
Enterprise
Contact Vendor
Customized For Your Business.
Free Trial
ABsmartly
No trial information availableOptimizely Web Experimentation
No trial information availableRatings
Meets Requirements
9.3
10
8.4
296
Ease of Use
8.3
10
8.1
309
Ease of Setup
Not enough data
8.0
155
Ease of Admin
Not enough data
8.2
124
Quality of Support
9.7
10
8.0
252
Has the product been a good partner in doing business?
Not enough data
7.9
119
Product Direction (% positive)
10.0
9
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
Feature Not Available
7.6
26
Computing
Feature Not Available
7.9
67
Feature Not Available
6.4
61
Feature Not Available
6.9
72
Experimental Design
Feature Not Available
8.4
70
Not enough data
8.7
69
Not enough data
8.7
69
Analytics
Not enough data
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
Variation Testing
Not enough data
Not enough data
Feature Not Available
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
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Personalization
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
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
ABsmartly and Optimizely Web Experimentation are categorized as A/B Testing and Feature Management
Unique Categories
ABsmartly is categorized as Mobile App Optimization
Optimizely Web Experimentation is categorized as Personalization Engines, E-Commerce Personalization, Customer Data Platform (CDP), Configuration Management, and Personalization
Reviews
Reviewers' Company Size
ABsmartly
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
Automotive
46.2%
Information Technology and Services
15.4%
Leisure, Travel & Tourism
7.7%
Insurance
7.7%
Financial Services
7.7%
Other
15.4%
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
What is A/B Smartly used for?
1 Comment
Official Response from ABsmartly
The ABsmartly platform supports a wide range of environments for experimentation and A/B testing. You can deploy experiments on web, email, app environments,...Read more
ABsmartly has no more 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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