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Compare Digioh and Dynamic Yield

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At a Glance
Digioh
Digioh
Star Rating
(38)4.7 out of 5
Market Segments
Mid-Market (52.6% of reviews)
Information
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Digioh
Dynamic Yield
Dynamic Yield
Star Rating
(156)4.5 out of 5
Market Segments
Mid-Market (56.7% of reviews)
Information
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Dynamic Yield
AI Generated Summary
AI-generated. Powered by real user reviews.
  • Users report that Dynamic Yield excels in its Lead Builder feature, scoring 9.4, which allows for effective lead generation strategies, while Digioh also performs well but does not have a specific score listed for this feature.
  • Reviewers mention that Digioh's Ease of Setup is significantly better, with a score of 9.5 compared to Dynamic Yield's 7.6, indicating that users find Digioh easier to implement and start using right away.
  • G2 users highlight that Dynamic Yield's Quality of Support is rated at 9.1, which is commendable, but Digioh surpasses this with a score of 9.8, suggesting that users feel more supported when using Digioh.
  • Users on G2 report that Digioh shines in Visitor Behavior Monitoring with a score of 9.7, while Dynamic Yield's score of 8.1 indicates that users may find it less effective in tracking visitor interactions.
  • Reviewers mention that Dynamic Yield's Segmentation capabilities, particularly in A/B Testing, are strong with a score of 9.1, but Digioh's overall targeting capabilities, including Targeting at 10.0, provide a more robust solution for personalized marketing.
  • Users say that Digioh's Analytics features, particularly in Reporting and Analytics, are rated higher at 8.6 compared to Dynamic Yield's 7.8, indicating that users find Digioh's analytics tools more comprehensive and user-friendly.
Pricing
Entry-Level Pricing
Digioh
No pricing available
Dynamic Yield
No pricing available
Free Trial
Digioh
No trial information available
Dynamic Yield
No trial information available
Ratings
Meets Requirements
9.7
31
8.7
139
Ease of Use
8.8
31
8.3
138
Ease of Setup
9.5
13
7.6
62
Ease of Admin
9.8
9
8.3
57
Quality of Support
9.8
30
9.1
138
Has the product been a good partner in doing business?
9.8
9
9.1
58
Product Direction (% positive)
9.2
29
9.6
135
Features by Category
Not enough data
Not enough data
Lead Generation
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
E-Commerce PersonalizationHide 23 FeaturesShow 23 Features
9.7
7
8.5
59
Visitor Behavior
9.7
6
8.1
49
10.0
6
8.8
52
9.4
6
8.1
44
Templates
9.5
7
8.2
38
9.8
7
8.4
47
10.0
6
8.4
47
Personalization
10.0
6
9.2
53
10.0
5
8.7
47
9.5
7
8.1
43
9.2
6
6.6
33
10.0
6
9.0
42
9.2
6
9.4
47
10.0
5
9.1
49
10.0
5
9.1
39
Multichannel
9.2
6
8.9
48
10.0
5
7.4
32
9.7
6
8.5
45
Administration
10.0
5
8.4
33
8.6
6
7.8
48
10.0
5
8.3
44
9.8
7
8.1
42
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
8.6
47
Segmentation
Not enough data
9.1
45
Not enough data
8.6
41
Targeting
Not enough data
8.9
41
Not enough data
8.9
40
Triggered Content
Not enough data
8.0
27
Not enough data
8.4
21
Not enough data
8.8
32
Personalized Content
Not enough data
8.7
43
Not enough data
7.9
21
Not enough data
9.1
43
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
9.0
7
Not enough data
Design and Customization
9.3
7
Not enough data
9.8
7
Not enough data
9.3
7
Not enough data
9.8
7
Not enough data
Campaigns
8.7
5
Not enough data
8.3
5
Not enough data
9.0
5
Not enough data
8.6
6
Not enough data
Integrations
10.0
6
Not enough data
8.0
5
Not enough data
9.2
6
Not enough data
7.7
5
Not enough data
Generative AI
Not enough data
Not enough data
Agentic AI - Vulnerability Scanner
Not enough data
Not enough data
Not enough data
Not enough data
9.3
9
Not enough data
Lead Monitoring
9.5
7
Not enough data
9.1
9
Not enough data
9.5
7
Not enough data
Agentic AI - Lead Capture
Not enough data
Not enough data
Not enough data
Not enough data
Data Capture
9.2
8
Not enough data
9.8
7
Not enough data
7.8
6
Not enough data
9.7
5
Not enough data
Analytics
8.3
6
Not enough data
9.0
5
Not enough data
Customization
10.0
5
Not enough data
9.3
5
Not enough data
9.7
6
Not enough data
9.7
6
Not enough data
Not enough data
Not enough data
Customization
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Additional Functionality
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
7.7
51
Computing
Not enough data
7.1
34
Not enough data
8.0
39
Not enough data
6.9
42
Experimental Design
Not enough data
8.7
45
Not enough data
8.9
40
Not enough data
8.9
46
Analytics
Not enough data
8.0
46
Not enough data
5.1
27
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 - Lead Scoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Attribution
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Discovery
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Platform
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
Digioh
Digioh
Dynamic Yield
Dynamic Yield
Digioh and Dynamic Yield are categorized as E-Commerce Personalization
Unique Categories
Dynamic Yield
Dynamic Yield is categorized as Personalization Engines, A/B Testing, and Personalization
Reviews
Reviewers' Company Size
Digioh
Digioh
Small-Business(50 or fewer emp.)
36.8%
Mid-Market(51-1000 emp.)
52.6%
Enterprise(> 1000 emp.)
10.5%
Dynamic Yield
Dynamic Yield
Small-Business(50 or fewer emp.)
13.3%
Mid-Market(51-1000 emp.)
56.7%
Enterprise(> 1000 emp.)
30.0%
Reviewers' Industry
Digioh
Digioh
Retail
18.4%
Consumer Goods
18.4%
Health, Wellness and Fitness
13.2%
Leisure, Travel & Tourism
7.9%
Marketing and Advertising
5.3%
Other
36.8%
Dynamic Yield
Dynamic Yield
Retail
33.3%
Apparel & Fashion
8.7%
Consumer Goods
8.0%
Internet
6.7%
Luxury Goods & Jewelry
5.3%
Other
38.0%
Alternatives
Digioh
Digioh Alternatives
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CallRail
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FormAssembly
FormAssembly
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ActiveCampaign
ActiveCampaign
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Unbounce Landing Pages
Unbounce Landing Pages
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Dynamic Yield
Dynamic Yield Alternatives
Optimizely Web Experimentation
Optimizely Web Experimentation
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Bloomreach
Bloomreach
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AB Tasty
AB Tasty
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VWO Testing
VWO Testing
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Discussions
Digioh
Digioh Discussions
Monty the Mongoose crying
Digioh has no discussions with answers
Dynamic Yield
Dynamic Yield Discussions
What is the future of Dynamic Yield with its acquisition by McDonalds?
1 Comment
Yaniv N.
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
Will you have video tutorials available for new users?
1 Comment
Ashley B.
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
Monty the Mongoose crying
Dynamic Yield has no more discussions with answers