A leading tool in experimentation and personalization
December 18, 2024

A leading tool in experimentation and personalization

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

Overall Satisfaction with Dynamic Yield

Dynamic Yield serves as our e-commerce team's experimentation and personalization tool. We use the tool extensively for product recommendations, A/B testing, and personalized onsite experiences.

Pros

  • Gives the user full control with significant flexibility
  • Great ongoing support from customer success manager (thank you Shaniece!)
  • Very intuitive platform

Cons

  • More robust reporting
  • Meaningful revenue attributed to product recommendations
  • Global control experiment shows sustained lifts in conversion rate and revenue per visitor
The tool is very intuitive, especially when compared to some other competitors. Reporting is the only area where I would like to see more of an emphasis.
While each of the other platforms may have certain features or aspects that are stronger than Dynamic Yield, Dynamic Yield is certainly the best platform I've used of the ones listed. The ability to do both experimentation and personalization in one platform (and to have a tool that allows both to be done well) is a significant advantage.

Do you think Dynamic Yield delivers good value for the price?

Yes

Are you happy with Dynamic Yield's feature set?

Yes

Did Dynamic Yield live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Dynamic Yield go as expected?

I wasn't involved with the implementation phase

Would you buy Dynamic Yield again?

Yes

Dynamic Yield is a great tool to house all experimentation and personalization efforts, especially for a Shopify ecommerce brand. It has templates for beginners, but also allows for full customizability for those with front end development experience. I really like that they have a focused roadmap - they are not trying to be an all-in-one tool like some competitors. They focus on personalization and experimentation.

Comments

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