Dynamic Yield vs. Optimizely Feature Experimentation

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dynamic Yield
Score 9.5 out of 10
N/A
Dynamic Yield calls itself an AI-powered Experience Optimization platform that promises to deliver 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, allowing the rapid and scalable creation of highly targeted digital interactions. Marketers, product managers, and engineers use Dynamic Yield for: Launching new personalization…N/A
Optimizely Feature Experimentation
Score 8.4 out of 10
N/A
Optimizely Feature Experimentation is a feature flagging and experimentation platform for websites, mobile apps, chatbots, APIs, smart devices, and anything else with a network connection.N/A
Pricing
Dynamic YieldOptimizely Feature Experimentation
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Dynamic YieldOptimizely Feature Experimentation
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeNo setup feeRequired
Additional Details
More Pricing Information
Community Pulse
Dynamic YieldOptimizely Feature Experimentation
Top Pros
Top Cons
Best Alternatives
Dynamic YieldOptimizely Feature Experimentation
Small Businesses
Kameleoon
Kameleoon
Score 9.3 out of 10
Kameleoon
Kameleoon
Score 9.3 out of 10
Medium-sized Companies
Kameleoon
Kameleoon
Score 9.3 out of 10
Kameleoon
Kameleoon
Score 9.3 out of 10
Enterprises
Kameleoon
Kameleoon
Score 9.3 out of 10
Kameleoon
Kameleoon
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Dynamic YieldOptimizely Feature Experimentation
Likelihood to Recommend
10.0
(86 ratings)
8.5
(4 ratings)
Likelihood to Renew
10.0
(5 ratings)
8.0
(1 ratings)
Usability
7.5
(18 ratings)
9.0
(1 ratings)
Support Rating
8.6
(74 ratings)
-
(0 ratings)
Implementation Rating
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
Dynamic YieldOptimizely Feature Experimentation
Likelihood to Recommend
Dynamic Yield
We’re running on a Single Page Application, so we were looking to partner with a technology vendor who can seamlessly integrate with SPA environments and allow us to dynamically modify, test, and personalize various elements on our app screens. Prior to Dynamic Yield, we were working with Optimizely and encountered huge challenges integrating with our SPA infrastructure.
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Optimizely
It is suited when you need to need to use different variations of a feature in the same experienice, it also gives you useful data and stats to better detemrine wich variation is better for you
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Pros
Dynamic Yield
  • Provide fantastic support, both in relation to strategy/best practice and troubleshooting.
  • An easy to use interface, as a user who is relatively new to Dynamic Yield I find that it is an intuitive platform to use.
  • The ability to segment and drill down on data allows for really specific insights which, whilst not necessarily being leveraged on a testing basis, can be super valuable from a greater marketing perspective.
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Optimizely
  • Redirection
  • Feature testing
  • Splitting traffic
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Cons
Dynamic Yield
  • Greater flexibility for the out of the box templates - things such as typeface are not consistent and can require developer time to ensure a seamless site experience
  • Exporting datasets don't necessarily reflect the way Dyanmic Yield is implemented on site, occasionally requiring that you go through experience by experience to extract the data you want
  • I would like to see a more customizable homepage dashboard with the ability to modify the content of widgets, showing trends across multiple experiences rather than just being able to update the timeframe for a widget between Yesterday, Past 7 Days, or Past 30 Days before having to deep dive into a full report
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Optimizely
  • Initially training of program
  • Ability to customize certain aspects of the website were limited
  • Expensive for smaller organizations
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Likelihood to Renew
Dynamic Yield
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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Optimizely
No answers on this topic
Usability
Dynamic Yield
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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Optimizely
All features that we used were pretty clear. They have a good documentation
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Support Rating
Dynamic Yield
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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Optimizely
No answers on this topic
Implementation Rating
Dynamic Yield
No answers on this topic
Optimizely
It’s straightforward. Docs are well written and I believe there must be a support. But we haven’t used it
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Alternatives Considered
Dynamic Yield
  • Oracle Maxymiser is very clunky and hard to code with. Previewing changes was a challenge and development for fixes were slow
  • Optimizely - Great for coding. Fast and efficient. Everything worked great. They were limited at personalization triggers though and their costs were expensive.
  • Monetate - Evaluated but their UI was hard to use.
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Optimizely
Optimizely is the first product I have used in this category. I have no comments for alternative products.
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Return on Investment
Dynamic Yield
  • Most tests have had a positive impact on either revenue or conversion rate - quite often in double digits.
  • Dynamic Yield has also helped us to stop some particular initiatives through direct interaction with the customer base via questionnaires or by a test proving negative quicker than rolling out a permanent feature.
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Optimizely
  • It has positive impact on revenue, we decide with that wich variation is performing 10% better so we pivot to that
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ScreenShots

Dynamic Yield Screenshots

Screenshot of The Dynamic Yield Dashboard gives you a high-level overview of your personalization campaigns, site performance, audiences, product updates, and more. From here on out, actionability is the name of the game. 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. This allows you to streamline workflows, prioritize the most critical campaigns, and save time in managing your personalization campaigns.Screenshot of Use Dynamic Yield's customer segmentation engine to unify your customer data across all digital and offline touchpoints and use it to power your marketing ecosystem. Onboard data from multiple sources and create one cohesive dataset from which to power experiences. Easily collect, store, categorize, and synchronize data from your CRM, ESP, DMP, APIs, POS and more.Screenshot of Create cross-touchpoint personalization campaigns and experiments at scale. Coordinate independent personalization experiences to deliver a cohesive, consistent customer journey from start-to-finish.Screenshot of Uncover personalization opportunities with Dynamic Yield's Predictive Targeting capabilities and maximize uplifts with machine-learning optimization. Let Dynamic Yield’s Predictive Targeting engine continuously analyze and identify opportunities to serve the most relevant content for each audience segment.

Optimizely Feature Experimentation Screenshots

Screenshot of Optimizely Feature Experimentation's audience targeting by segment (pre-defined segments, custom segments, real time segments) via the native customer data platform functionality or by connecting existing third-party CDP and synching the segments that have already been created into its Audience Builder.Screenshot of Real time segmentsScreenshot of Segments defined from native and third party CDP.Screenshot of Feature flagging and rollouts to targeted audiences gives control in the SDLC without significant developer overhead. Optimizely Feature Experimentation can be used to rollout a feature to a defined audience using a flag. This audience could be a set of beta testers, a geo location, or a pre-defined customer group such as VIP's or super users. These targeting capabilities alongside its feature management capabilities help product teams test and release new features with more confidence and less developer overhead.Screenshot of Targeted deliveriesScreenshot of Rules engine