Dynamic Yield vs. Google Optimize

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dynamic Yield
Score 8.3 out of 10
N/A
Dynamic Yield is presented as an AI-powered Experience Optimization platform that delivers individualized experiences at every customer touchpoint: web, apps, email, kiosks, IoT, and call centers. The platform’s data management capabilities provide for a unified view of the customer, to allow the rapid and scalable creation of highly targeted digital interactions. Marketers, product managers, and engineers use Dynamic Yield for: Launching new personalization…N/A
Google Optimize
Score 6.7 out of 10
N/A
Google offers the Optimize A/B testing tool for testing website content and versions.N/A
Pricing
Dynamic YieldGoogle Optimize
Editions & Modules
No answers on this topic
Google Optimize
Free
Offerings
Pricing Offerings
Dynamic YieldGoogle Optimize
Free Trial
YesNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Dynamic YieldGoogle Optimize
Features
Dynamic YieldGoogle Optimize
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Dynamic Yield
-
Ratings
Google Optimize
4.9
Ratings
50% below category average
a/b experiment testing00 Ratings4.00 Ratings
Split URL testing00 Ratings2.00 Ratings
Multivariate testing00 Ratings4.00 Ratings
Multi-page/funnel testing00 Ratings1.00 Ratings
Cross-browser testing00 Ratings6.40 Ratings
Mobile app testing00 Ratings2.70 Ratings
Test significance00 Ratings1.00 Ratings
Visual / WYSIWYG editor00 Ratings3.00 Ratings
Advanced code editor00 Ratings2.00 Ratings
Page surveys00 Ratings5.00 Ratings
Visitor recordings00 Ratings10.00 Ratings
Preview mode00 Ratings3.00 Ratings
Test duration calculator00 Ratings9.00 Ratings
Experiment scheduler00 Ratings7.00 Ratings
Experiment workflow and approval00 Ratings8.90 Ratings
Dynamic experiment activation00 Ratings6.90 Ratings
Client-side tests00 Ratings7.00 Ratings
Server-side tests00 Ratings2.60 Ratings
Mutually exclusive tests00 Ratings8.00 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Dynamic Yield
-
Ratings
Google Optimize
7.0
Ratings
20% below category average
Standard visitor segmentation00 Ratings6.00 Ratings
Behavioral visitor segmentation00 Ratings7.00 Ratings
Traffic allocation control00 Ratings8.00 Ratings
Website personalization00 Ratings7.00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Dynamic Yield
-
Ratings
Google Optimize
8.2
Ratings
2% below category average
Heatmap tool00 Ratings2.00 Ratings
Click analytics00 Ratings9.00 Ratings
Scroll maps00 Ratings9.00 Ratings
Form fill analysis00 Ratings8.00 Ratings
Conversion tracking00 Ratings9.00 Ratings
Goal tracking00 Ratings8.00 Ratings
Test reporting00 Ratings7.00 Ratings
Results segmentation00 Ratings10.00 Ratings
CSV export00 Ratings9.90 Ratings
Experiments results dashboard00 Ratings9.90 Ratings
Best Alternatives
Dynamic YieldGoogle Optimize
Small Businesses
Bloomreach - The Agentic Platform for Personalization
Bloomreach - The Agentic Platform for Personalization
Score 8.6 out of 10
Convert Experiences
Convert Experiences
Score 9.9 out of 10
Medium-sized Companies
Bloomreach - The Agentic Platform for Personalization
Bloomreach - The Agentic Platform for Personalization
Score 8.6 out of 10
Dynamic Yield
Dynamic Yield
Score 8.3 out of 10
Enterprises
Bloomreach - The Agentic Platform for Personalization
Bloomreach - The Agentic Platform for Personalization
Score 8.6 out of 10
Dynamic Yield
Dynamic Yield
Score 8.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Dynamic YieldGoogle Optimize
Likelihood to Recommend
9.9
(0 ratings)
5.0
(0 ratings)
Likelihood to Renew
10.0
(0 ratings)
-
(0 ratings)
Usability
8.6
(0 ratings)
10.0
(0 ratings)
Support Rating
10.0
(0 ratings)
8.7
(0 ratings)
User Testimonials
Dynamic YieldGoogle Optimize
Likelihood to Recommend
It's ideal for testing continuous improvements in user experience - we're achieving good results from A/B testing and multivariate testing, and tracking the impact is very slick and compelling. We currently don't have any Dynamic Yield integrations set up for our app due to the complexities involved. We are also unable to track user behavior on platforms nested outside our domain (such as CTAs on our site that link to external booking engines).
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Google Optimize is well suited for testing small changes on the browser pages. You have the option of changing designs, texts, and some small features on the page. The audience can be divided using a long list of factors, so it makes it quite easy to set up the test. It is not well suited for complicated feature tests where you need to monitor the user over a long period or where the user is likely to use multiple sessions across multiple devices or browsers
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Pros
  • Product recommendations are easy to set up, and powerfully personalizable through either hands on refining or automated A/B testing
  • Customer insights are easy to set up and can be applied retroactively to data
  • A/B testing anything from different graphics to copy to page layouts is easy to set up and implement site wide
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  • Easy test implementation. You're up and running once you've pinned down your hypothesis.
  • Goals and conversion points can be easily mapped to any test.
  • Customization of goals in case you don't have one setup.
  • Integrated with Google Analytics so you can correlate with other metrics under behavior and e-commerce data.
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Cons
  • The impact (either positive or negative) of potentially overlapping campaigns, especially the UX personalization or custom code campaigns, may not be easily identifiable.
  • It would make more sense for the new deep-learning and machine learning (ML) driven strategies be made part of the standard offering, as opposed to positioning them as add-on subscription, given that many other completing services are baking in ML as part of their platform evolution.
  • The documentation on the API and custom code implementation can be fleshed out further.
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  • Track site performance with each test version; see if the resource timing of each test has anything to do with conversion rates.
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Likelihood to Renew
implementation took a long time but also, DY has really proven that they are transforming and adapting their platform to be more user friendly and the right technology choice for their brand or company
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No answers on this topic
Usability
Overall, the interface is not difficult to understand. Although to create campaigns or define strategies for recommendations, some study is required.
Also, some reports are hidden, you really need to know where to look in order to see them (e.g. strategies performance or email campaigns performance).
Also, there is a lack of context help that would improve a lot the usability, especially when you face a feature or a report for the first time.
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Google has always been known to make easy-to-use products. The Google Optimize interface is intuitive and easy to follow for anyone.
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Support Rating
Allison Schwartz, Customer Success Manager at Dynamic Yield has been nothing less than amazing and stellar! She really sets the standard for customer success and support. Their technical support is fast and reliable, and their educational resources are top of the line
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Google has well-documented resources and unlimited use cases that can be found online. Plus, their support is always helpful and available.
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Alternatives Considered
We selected Dynamic Yield because of Better Support & Partnership Experience, Superior Experimentation Capabilities, All-in-One Platform for Personalization, Testing, and Targeting Its better suited then other tools with A/B testing, better hyper personalization, AI - driven capabilities, low - code, better support
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We switched from Google Optimize to AB Tasty which is a paid platform. AB Tasty provides much better capabilities and support, although this is with a cost implication which Google Optimize didn’t have. Google Optimize was useful as an introductory platform prior to getting a full programme running but this has now sunset so is no longer available.
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Return on Investment
  • Dynamic Yield supports us in our CRO offering as our optimisation platform of choice - we are leveraging this tool heavily in the application of these services - allowing us an ongoing income stream.
  • Dynamic Yields adds value to our clients - we can confidently recommend DY's recommendations and AI as better than those that are offered "out of the box" within Shopify. As a Shopify Plus agency, leveraging this better technology is often a quick way in which we can show almost immediate value to new clients to improve their conversion rate and revenue per user.
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  • Useful with clients on a budget who need to see ROI without another paid platform to install.
  • Setting up Google Optimize helps as an additional value add when bidding on projects.
  • Nothing negative unless a larger client needs a more robust package; then, there is always Google Optimize 360 as well as platforms from other vendors.
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ScreenShots

Dynamic Yield Screenshots

Screenshot of The Dynamic Yield Dashboard, which offers a high-level overview of personalization campaigns, site performance, audiences, product updates, and more. With customers building and managing dozens, sometimes even hundreds of concurrent campaigns, the Dynamic Yield dashboard provides a snapshot of key information and surfaces items for potential optimization from campaigns that require action.Screenshot of Dynamic Yield's customer segmentation engine, used to unify customer data across digital and offline touchpoints. Data can be onboarded from multiple sources to create one cohesive dataset from which to power experiences. Users can collect, store, categorize, and synchronize data from a CRM, ESP, DMP, APIs, or POS.Screenshot of The interface to create cross-touchpoint personalization campaigns and experiments at scale. Users can coordinate independent personalization experiences to deliver a cohesive, consistent customer journey from start-to-finish.Screenshot of Dynamic Yield's Predictive Targeting capabilities, which provides machine-learning optimization. Dynamic Yield’s Predictive Targeting engine will continuously analyze and identify opportunities to serve the most relevant content for each audience segment.