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Compare Adobe Target and Optimizely Web Experimentation

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At a Glance
Adobe Target
Adobe Target
Star Rating
(67)4.1 out of 5
Market Segments
Enterprise (66.7% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about Adobe Target
Optimizely Web Experimentation
Optimizely Web Experimentation
Star Rating
(408)4.2 out of 5
Market Segments
Mid-Market (47.8% of reviews)
Information
Entry-Level Pricing
Contact Vendor
Learn more about Optimizely Web Experimentation
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, highlighting its intuitive interface and robust capabilities, while Adobe Target, with a score of 8.7, is noted for its solid performance but lacks some of the advanced features that users find in Optimizely.
  • Reviewers mention that Optimizely's WYSIWYG Editor is user-friendly, scoring 7.7, which allows for easy content adjustments without coding. In contrast, Adobe Target's WYSIWYG Editor received a lower score of 6.8, with users expressing a desire for a more streamlined editing experience.
  • G2 users highlight Optimizely's superior Confidence Level scoring of 9.4, indicating that users feel more assured about their testing results, whereas Adobe Target's score of 7.8 suggests that users are less confident in the statistical significance of their tests.
  • Users on G2 report that Optimizely's Multivariant Testing capabilities score 8.5, providing flexibility in testing multiple variables simultaneously, while Adobe Target's score of 7.4 indicates limitations in this area, leading to a less comprehensive testing experience.
  • Reviewers mention that Optimizely's Performance and Reliability score of 8.6 is a significant advantage, with many users praising its consistent uptime and fast loading times, while Adobe Target's score of 7.5 reflects some concerns about performance during peak usage times.
  • Users say that Optimizely's Reporting and Analytics features, scoring 8.2, provide detailed insights that help in making data-driven decisions, whereas Adobe Target's score of 7.4 indicates that users find its analytics less comprehensive and harder to interpret.
Pricing
Entry-Level Pricing
Adobe Target
No pricing available
Optimizely Web Experimentation
Enterprise
Contact Vendor
Learn more about Optimizely Web Experimentation
Free Trial
Adobe Target
No trial information available
Optimizely Web Experimentation
No trial information available
Ratings
Meets Requirements
8.4
46
8.4
296
Ease of Use
7.3
59
8.1
309
Ease of Setup
7.1
32
8.0
155
Ease of Admin
7.3
22
8.2
124
Quality of Support
7.4
46
8.0
252
Has the product been a good partner in doing business?
8.0
22
7.9
119
Product Direction (% positive)
9.0
48
7.8
271
Features by Category
E-Commerce PersonalizationHide 23 FeaturesShow 23 Features
Not enough data
8.0
31
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
Personalization EnginesHide 16 FeaturesShow 16 Features
Not enough data
8.0
24
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
Customer Data Platform (CDP)Hide 7 FeaturesShow 7 Features
Not enough data
8.2
6
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
Not enough data
8.1
29
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
8.0
11
7.9
67
7.7
14
6.4
61
7.9
13
6.9
72
Experimental Design
7.9
15
8.4
70
8.1
13
8.7
69
8.2
13
8.7
69
Analytics
7.6
15
8.2
68
6.4
11
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
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
Mobile App OptimizationHide 15 FeaturesShow 15 Features
7.8
17
Not enough data
Variation Testing
8.7
13
Not enough data
6.8
11
Not enough data
8.2
15
Not enough data
8.1
15
Not enough data
7.8
15
Not enough data
7.4
14
Not enough data
Reporting
7.6
15
Not enough data
7.8
15
Not enough data
Personalization
8.3
14
Not enough data
7.9
14
Not enough data
8.0
5
Not enough data
Administration
7.8
12
Not enough data
8.1
13
Not enough data
7.5
14
Not enough data
7.6
13
Not enough data
Categories
Categories
Shared Categories
Adobe Target
Adobe Target
Optimizely Web Experimentation
Optimizely Web Experimentation
Adobe Target and Optimizely Web Experimentation are categorized as Personalization and A/B Testing
Unique Categories
Adobe Target
Adobe Target is categorized as Mobile App Optimization
Reviews
Reviewers' Company Size
Adobe Target
Adobe Target
Small-Business(50 or fewer emp.)
19.0%
Mid-Market(51-1000 emp.)
14.3%
Enterprise(> 1000 emp.)
66.7%
Optimizely Web Experimentation
Optimizely Web Experimentation
Small-Business(50 or fewer emp.)
21.2%
Mid-Market(51-1000 emp.)
47.8%
Enterprise(> 1000 emp.)
30.9%
Reviewers' Industry
Adobe Target
Adobe Target
Marketing and Advertising
18.8%
Information Technology and Services
18.8%
Financial Services
9.4%
Computer Software
9.4%
Retail
7.8%
Other
35.9%
Optimizely Web Experimentation
Optimizely Web Experimentation
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
Adobe Target
Adobe Target Alternatives
VWO Testing
VWO Testing
Add VWO Testing
AB Tasty
AB Tasty
Add AB Tasty
Salesforce Marketing Cloud Personalization (formerly Interaction Studio)
Salesforce Marketing Cloud Personalization (formerly Interaction Studio)
Add Salesforce Marketing Cloud Personalization (formerly Interaction Studio)
Dynamic Yield
Dynamic Yield
Add Dynamic Yield
Optimizely Web Experimentation
Optimizely Web Experimentation Alternatives
VWO Testing
VWO Testing
Add VWO Testing
AB Tasty
AB Tasty
Add AB Tasty
Insider One
Insider One
Add Insider One
Kameleoon
Kameleoon
Add Kameleoon
Discussions
Adobe Target
Adobe Target Discussions
Monty the Mongoose crying
Adobe Target has no discussions with answers
Optimizely Web Experimentation
Optimizely Web Experimentation Discussions
How does A/B Testing work?
1 Comment
Tim S.
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
Tim S.
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
Monty the Mongoose crying
Optimizely Web Experimentation has no more discussions with answers