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Compare Dynamic Yield and Monetate 
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At a Glance
Market Segments
Mid-Market (56.7% of reviews)
Enterprise (45.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Dynamic Yield
Star Rating
(156)4.5 out of 5
Market Segments
Mid-Market (56.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Dynamic YieldMonetate
Star Rating
(124)4.1 out of 5
Market Segments
Enterprise (45.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about MonetateSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Monetate excels in Behavioral Targeting with a score of 9.4, indicating a strong capability to tailor experiences based on user behavior, while Dynamic Yield's score of 8.9 suggests it is slightly less effective in this area.
- Reviewers mention that Dynamic Yield shines in Personalization Engine with a score of 9.0, which allows for more tailored user experiences compared to Monetate's score of 7.8, highlighting its advanced capabilities in delivering personalized content.
- G2 users note that Dynamic Yield offers superior Reporting and Analytics features, scoring 8.0 compared to Monetate's 6.9, making it a better choice for businesses that prioritize data-driven decision-making.
- Users on G2 highlight that Monetate's A/B Testing capabilities are robust with a score of 8.3, but Dynamic Yield outperforms with a score of 9.1, indicating a more comprehensive approach to testing and optimization.
- Reviewers say that Dynamic Yield's Customer Profiles feature is significantly more effective, scoring 8.6 compared to Monetate's 6.7, which suggests that Dynamic Yield provides better tools for understanding and segmenting customers.
- Users report that while both platforms offer Mobile Testing, Dynamic Yield's score of 8.9 indicates a more user-friendly experience compared to Monetate's 8.1, making it a better option for businesses focusing on mobile optimization.
Pricing
Entry-Level Pricing
Dynamic Yield
No pricing availableMonetate
No pricing availableFree Trial
Dynamic Yield
No trial information availableMonetate
No trial information availableRatings
Meets Requirements
8.7
139
8.2
101
Ease of Use
8.3
138
7.8
109
Ease of Setup
7.6
62
7.8
49
Ease of Admin
8.3
57
8.4
37
Quality of Support
9.1
138
8.1
98
Has the product been a good partner in doing business?
9.1
58
8.8
37
Product Direction (% positive)
9.6
135
8.0
98
Features by Category
Visitor Behavior
8.1
49
7.3
32
8.8
52
8.3
33
8.1
44
6.8
30
Templates
8.2
38
6.3
28
8.4
47
7.8
29
8.4
47
7.4
33
Personalization
9.2
53
7.6
31
8.7
47
7.7
30
8.1
43
7.1
25
6.6
33
6.7
23
9.0
42
7.4
28
9.4
47
7.8
29
9.1
49
8.2
33
9.1
39
8.2
29
Multichannel
8.9
48
8.6
31
7.4
32
6.0
21
8.5
45
7.0
27
Administration
8.4
33
7.5
24
7.8
48
7.2
31
8.3
44
6.7
28
8.1
42
7.3
28
Agentic AI - E-Commerce Personalization
Not enough data
Not enough data
Not enough data
Not enough data
Segmentation
9.1
45
8.1
9
8.6
41
6.9
9
Targeting
8.9
41
9.1
9
8.9
40
8.5
9
Triggered Content
8.0
27
8.1
9
8.4
21
7.3
5
8.8
32
7.1
8
Personalized Content
8.7
43
8.3
7
7.9
21
7.8
6
9.1
43
9.4
8
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
Merchandising
Not enough data
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
Analytics
Not enough data
7.3
5
Not enough data
6.7
5
Administration
Not enough data
6.3
5
Not enough data
6.3
5
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
7.1
34
6.9
31
8.0
39
6.7
31
6.9
42
6.3
34
Experimental Design
8.7
45
7.9
30
8.9
40
7.7
30
8.9
46
8.1
32
Analytics
8.0
46
7.0
33
5.1
27
5.5
24
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
Dynamic Yield and Monetate are categorized as Personalization Engines, E-Commerce Personalization, A/B Testing, and Personalization
Unique Categories
Dynamic Yield has no unique categories
Monetate is categorized as E-Commerce Search and E-Merchandising
Reviews
Reviewers' Company Size
Dynamic Yield
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Monetate
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
33.3%
Apparel & Fashion
8.7%
Consumer Goods
8.0%
Internet
6.7%
Luxury Goods & Jewelry
5.3%
Other
38.0%
Retail
40.8%
Apparel & Fashion
17.5%
Marketing and Advertising
5.0%
Internet
4.2%
Manufacturing
2.5%
Other
30.0%
Alternatives
Discussions
Will you have video tutorials available for new users?
1 Comment
AB
Hi Kimberly! Great question. We have recently created a library of on-demand, video tutorial-style training modules on how to leverage the fundamental...Read more
What is the future of Dynamic Yield with its acquisition by McDonalds?
1 Comment
YN
As a standalone company within McDonald’s, Dynamic Yield remains an independent platform. A key aspect of the acquisition is McDonald’s commitment to Dynamic...Read more
Dynamic Yield has no more discussions with answers
Monetate has no discussions with answers
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