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Compare Optimizely Web Experimentation and Oracle Maxymiser 
Featured Products
At a Glance
Market Segments
Mid-Market (47.8% of reviews)
Mid-Market (42.9% of reviews)
Entry-Level Pricing
Contact Vendor
No pricing available
Optimizely Web Experimentation
Star Rating
(409)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 ExperimentationOracle Maxymiser
Star Rating
(15)3.8 out of 5
Market Segments
Mid-Market (42.9% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Oracle MaxymiserSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Optimizely Web Experimentation excels in user-friendliness, with many users highlighting its easy setup process, making it accessible even for non-technical individuals. This is a significant advantage for teams looking to implement experimentation without extensive technical resources.
- Users say that Oracle Maxymiser provides valuable insights into business performance, helping teams uncover overlooked aspects of their operations. This feature is particularly beneficial for organizations that want to enhance their understanding of customer behavior across various devices.
- Reviewers mention that Optimizely Web Experimentation allows for rapid testing of new ideas without lengthy deployment cycles. Developers appreciate the platform's flexibility, enabling them to implement experiments directly in code and see immediate results, which can significantly speed up the innovation process.
- According to verified reviews, Oracle Maxymiser is praised for its ability to handle large traffic volumes reliably, making it a solid choice for businesses with high visitor counts. Users appreciate the platform's performance under pressure, ensuring that testing remains consistent even during peak times.
- G2 reviewers highlight that while both products have strong support ratings, Optimizely Web Experimentation has a slight edge in overall satisfaction, with users noting that the quality of support is responsive and helpful, which is crucial for teams needing assistance during their experimentation journey.
- Users report that Optimizely Web Experimentation's focus on data-driven decision-making helps teams move away from assumptions, fostering a culture of experimentation. This is particularly noted by users who are just starting their journey, as it empowers them to present data-backed insights to stakeholders effectively.
Pricing
Entry-Level Pricing
Optimizely Web Experimentation
Enterprise
Contact Vendor
Customized For Your Business.
Oracle Maxymiser
No pricing availableFree Trial
Optimizely Web Experimentation
No trial information availableOracle Maxymiser
No trial information availableRatings
Meets Requirements
8.4
296
8.5
8
Ease of Use
8.1
309
7.2
9
Ease of Setup
8.0
155
Not enough data
Ease of Admin
8.2
124
Not enough data
Quality of Support
8.0
252
8.1
9
Has the product been a good partner in doing business?
7.9
119
Not enough data
Product Direction (% positive)
7.8
271
6.7
7
Features by Category
Visitor Behavior
7.8
24
|
Verified
Not enough data
8.5
26
|
Verified
Not enough data
7.6
22
|
Verified
Not enough data
Templates
7.8
24
|
Verified
Not enough data
8.3
23
|
Verified
Not enough data
8.4
24
|
Verified
Not enough data
Personalization
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
Not enough data
Multichannel
8.5
26
|
Verified
Not enough data
6.9
20
|
Verified
Not enough data
8.9
25
|
Verified
Not enough data
Administration
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
Not enough data
Agentic AI - E-Commerce Personalization
Not enough data
Not enough data
Not enough data
Not enough data
Segmentation
8.8
21
Not enough data
8.1
14
Not enough data
Targeting
7.6
21
Not enough data
7.8
20
Not enough data
Triggered Content
7.8
16
Not enough data
Feature Not Available
Not enough data
7.4
13
Not enough data
Personalized Content
8.0
15
Not enough data
8.1
16
Not enough data
8.7
18
Not enough data
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
9.3
5
Not enough data
8.0
5
Not enough data
Not enough data
Not enough data
7.2
6
Not enough data
Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
8.3
24
Not enough data
8.3
25
Not enough data
8.0
23
Not enough data
Functionality
8.0
25
Not enough data
8.5
26
Not enough data
7.6
26
Not enough data
Computing
7.9
67
Not enough data
6.4
61
Not enough data
6.9
72
Not enough data
Experimental Design
8.4
70
Not enough data
8.7
69
Not enough data
8.7
69
Not enough data
Analytics
8.2
68
Not enough data
5.8
62
Not enough data
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
Optimizely Web Experimentation and Oracle Maxymiser are categorized as Personalization Engines
Unique Categories
Optimizely Web Experimentation is categorized as Feature Management, E-Commerce Personalization, Customer Data Platform (CDP), A/B Testing, Configuration Management, and Personalization
Oracle Maxymiser has no unique categories
Reviews
Reviewers' Company Size
Optimizely Web Experimentation
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Oracle Maxymiser
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
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%
Retail
14.3%
Computer Software
14.3%
Writing and Editing
7.1%
Warehousing
7.1%
Outsourcing/Offshoring
7.1%
Other
50.0%
Discussions
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
Oracle Maxymiser has no discussions with answers
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