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Compare Apptimize and Optimizely Web Experimentation 
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At a Glance
Market Segments
Small-Business (41.2% of reviews)
Mid-Market (47.8% of reviews)
Entry-Level Pricing
Request a Demo
Contact Vendor
Apptimize
Star Rating
(17)4.1 out of 5
Market Segments
Small-Business (41.2% of reviews)
Entry-Level Pricing
Request a Demo
Learn more about ApptimizeOptimizely 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 9.5, while Apptimize follows closely with a score of 9.3. Reviewers mention that Optimizely's robust A/B Testing capabilities allow for more comprehensive experimentation, making it a preferred choice for teams focused on optimizing user experiences.
- Reviewers mention that Apptimize shines in Quality of Support, scoring 9.1 compared to Optimizely's 8.0. Users on G2 appreciate Apptimize's responsive customer service and extensive documentation, which they find helpful for troubleshooting and maximizing the software's potential.
- Users say that Optimizely's Data Enrichment feature stands out with a score of 9.3, providing advanced capabilities for enhancing customer profiles. In contrast, Apptimize does not have a comparable feature, which reviewers note as a limitation for data-driven decision-making.
- G2 users highlight that Optimizely offers superior Multivariate Testing capacities with a score of 8.2, allowing for more complex experiments. Users report that this feature is crucial for teams looking to test multiple variables simultaneously, which Apptimize does not support as effectively.
- Reviewers mention that Apptimize's ease of administration is a strong point, scoring 9.0, which is higher than Optimizely's 8.1. Users appreciate the intuitive interface and streamlined management tools that make it easier to oversee campaigns and user access.
- Users on G2 report that Optimizely's Conversion Goal feature scores 8.7, indicating a strong focus on helping users achieve specific objectives. In comparison, Apptimize's score of 8.0 suggests that while it offers similar functionality, it may not be as effective in guiding users towards their conversion targets.
Pricing
Entry-Level Pricing
Apptimize
Custom Pricing Options
Request a Demo
- Enterprise level integrations + support
- Data exports
- Full API access
Optimizely Web Experimentation
Enterprise
Contact Vendor
Customized For Your Business.
Free Trial
Apptimize
Free Trial is available
Optimizely Web Experimentation
No trial information availableRatings
Meets Requirements
7.8
16
8.4
296
Ease of Use
7.9
16
8.1
309
Ease of Setup
7.6
7
8.0
155
Ease of Admin
9.0
7
8.2
124
Quality of Support
9.1
16
8.0
252
Has the product been a good partner in doing business?
9.8
7
7.9
119
Product Direction (% positive)
8.4
15
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
Variation Testing
9.3
12
Not enough data
7.7
10
Not enough data
8.0
9
Not enough data
8.8
10
Not enough data
8.7
10
Not enough data
8.5
9
Not enough data
Reporting
8.0
10
Not enough data
7.9
11
Not enough data
Personalization
8.7
10
Not enough data
8.1
9
Not enough data
Not enough data
Not enough data
Administration
8.5
8
Not enough data
8.8
10
Not enough data
8.1
12
Not enough data
8.6
11
Not enough data
Categories
Categories
Shared Categories
Apptimize and Optimizely Web Experimentation are categorized as Feature Management and A/B Testing
Unique Categories
Apptimize 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
Apptimize
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
Internet
23.5%
E-Learning
23.5%
Entertainment
11.8%
Staffing and Recruiting
5.9%
Research
5.9%
Other
29.4%
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
Apptimize 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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