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Compare Monetate and Optimizely Web Experimentation 
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At a Glance
Market Segments
Enterprise (45.0% of reviews)
Mid-Market (47.8% of reviews)
Entry-Level Pricing
No pricing available
Contact Vendor
Monetate
Star Rating
(124)4.1 out of 5
Market Segments
Enterprise (45.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about MonetateOptimizely 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 8.8, while Monetate follows closely with a score of 8.3. Reviewers mention that Optimizely's intuitive interface makes it easier to set up and analyze tests, leading to quicker insights.
- Reviewers mention that Optimizely's targeting capabilities are robust, scoring 8.5, compared to Monetate's 8.4. Users say that Optimizely's behavioral targeting features allow for more personalized experiences, which can significantly enhance user engagement.
- G2 users highlight that Optimizely's data enrichment capabilities score an impressive 9.3, indicating strong support for data-driven decision-making. In contrast, Monetate lacks a specific score in this area, leading users to feel that Optimizely provides a more comprehensive data solution.
- Users on G2 report that Optimizely's ease of use is rated at 8.2, while Monetate's ease of use is slightly lower at 7.9. Reviewers mention that Optimizely's user-friendly dashboard and low-code interface simplify the setup process, making it accessible for teams with varying technical skills.
- Reviewers mention that Optimizely's reporting and analytics features score 8.2, significantly outperforming Monetate's 6.9. Users say that Optimizely provides detailed insights and heatmaps, which are crucial for understanding user behavior and optimizing campaigns effectively.
- Users report that Optimizely shines in mobile testing with a score of 8.4, while Monetate scores 8.1. Reviewers mention that Optimizely's mobile optimization tools are particularly effective, allowing for seamless testing across devices, which is essential in today's multi-device landscape.
Pricing
Entry-Level Pricing
Monetate
No pricing availableOptimizely Web Experimentation
Enterprise
Contact Vendor
Customized For Your Business.
Free Trial
Monetate
No trial information availableOptimizely Web Experimentation
No trial information availableRatings
Meets Requirements
8.2
101
8.4
296
Ease of Use
7.8
109
8.1
309
Ease of Setup
7.8
49
8.0
155
Ease of Admin
8.4
37
8.2
124
Quality of Support
8.1
98
8.0
252
Has the product been a good partner in doing business?
8.8
37
7.9
119
Product Direction (% positive)
8.0
98
7.8
271
Features by Category
Visitor Behavior
7.3
32
7.8
24
|
Verified
8.3
33
8.5
26
|
Verified
6.8
30
7.6
22
|
Verified
Templates
6.3
28
7.8
24
|
Verified
7.8
29
8.3
23
|
Verified
7.4
33
8.4
24
|
Verified
Personalization
7.6
31
7.6
23
|
Verified
7.7
30
7.7
26
|
Verified
7.1
25
7.9
21
|
Verified
6.7
23
Feature Not Available
7.4
28
7.5
20
|
Verified
7.8
29
7.0
19
|
Verified
8.2
33
9.0
24
|
Verified
8.2
29
8.6
22
|
Verified
Multichannel
8.6
31
8.5
26
|
Verified
6.0
21
6.9
20
|
Verified
7.0
27
8.9
25
|
Verified
Administration
7.5
24
8.0
22
|
Verified
7.2
31
8.5
22
|
Verified
6.7
28
8.2
22
|
Verified
7.3
28
8.1
23
|
Verified
Agentic AI - E-Commerce Personalization
Not enough data
Not enough data
Not enough data
Not enough data
Segmentation
8.1
9
8.8
21
6.9
9
8.1
14
Targeting
9.1
9
7.6
21
8.5
9
7.8
20
Triggered Content
8.1
9
7.8
16
7.3
5
Feature Not Available
7.1
8
7.4
13
Personalized Content
8.3
7
8.0
15
7.8
6
8.1
16
9.4
8
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
Merchandising
8.3
5
Not enough data
7.0
5
Not enough data
6.0
5
Not enough data
4.7
5
Not enough data
6.3
5
Not enough data
Analytics
7.3
5
Not enough data
6.7
5
Not enough data
Administration
6.3
5
Not enough data
6.3
5
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
Search Setup
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Product Discovery
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
Integration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Computing
6.9
31
7.9
67
6.7
31
6.4
61
6.3
34
6.9
72
Experimental Design
7.9
30
8.4
70
7.7
30
8.7
69
8.1
32
8.7
69
Analytics
7.0
33
8.2
68
5.5
24
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
Categories
Categories
Shared Categories
Monetate and Optimizely Web Experimentation are categorized as Personalization, Personalization Engines, E-Commerce Personalization, and A/B Testing
Unique Categories
Monetate is categorized as E-Commerce Search and E-Merchandising
Optimizely Web Experimentation is categorized as Feature Management, Customer Data Platform (CDP), and Configuration Management
Reviews
Reviewers' Company Size
Monetate
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
40.8%
Apparel & Fashion
17.5%
Marketing and Advertising
5.0%
Internet
4.2%
Manufacturing
2.5%
Other
30.0%
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
Monetate 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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