Best personalization tool on the market
October 19, 2020

Best personalization tool on the market

Amaury Ortolland | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Dynamic Yield

DY is being used by my e-commerce optimization department. Globally it addresses all the optimization and personalization use cases that we want to leverage on our digital touchpoints. We use to have multiple tools to deploy all these use cases and, now, thanks to DY, we only have one tool where we can trigger end-to-end experiences with 1 unified customer profile as we also use DY as a CDP.
  • Product recommendation
  • Affinity profile targeting
  • Omnichanel experience
  • Front and server side API
  • Webperf
  • Analytics capabilities
  • Targeting IPs
  • DY avoids spending money on multiple vendors.
  • DY allows to generates advanced use-cases with low development resources.
  • DY increases page load time that can impact conversion rate.
DY can be linked to the product feed allowing use cases that are not possible on a simple testing solution.
Also, DY is simple to use for the marketing team, there is no need for technical knowledge to set most of the experiences. To conclude, DY can be used as a CDP with a customer profile that can be used to trigger consistent experience within multiple touchpoints like emailing.
Chat is quite good and answers most of the questions you can have on setting an experience well.
CSM is also well experienced and is always suggesting best practices or relevant use-cases. Training with the DY team is also very interesting but it takes time to handle the whole solution as it's more complete and complex than a classic A/B testing tool.
The interface is very simple to understand and to manipulate to set an A/B test or an onsite personalization.
Everything is at the right place and it helps a lot and avoids mistakes to have all the elements of a test available at the same place without having to reload another page.

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DY is well suited for offer personalization based on user affinity; it's really easy to generate experiences based on these scores. For product recommendations, DY has a very impactful algorithm that generates a lot of user engagement thanks to relevant propositions. DY is less appropriate to deep dive into the data that is generated by the tool, for example, we could expect better DataViz about behavior on multiple touchpoints or product performance.