Dynamic Yield Positioned Highest in Execution and Furthest in Vision in the 2023 Gartner® Magic Quadrant™ for Personalization Engines

Dynamic Yield Positioned Highest in Execution and Furthest in Vision in the 2023 Gartner® Magic Quadrant™ for Personalization Engines

This recognition also represents our sixth consecutive year as a Leader (since the report was first published).

Personalization has always been about providing the most relevant experience to a particular audience or individual. Yet, it’s amazing to consider all of the macro-level trends (both from a consumer and business perspective) that have played a role in shaping the technology behind these experiences over the last decade.

From emerging generational differences to socioeconomic changes, the waxing and waning of cultural movements, advancements in technology, and beyond – so many forces have and will continue to necessitate technology’s adaptation to better address the nuances that underpin them.

This has always fueled Dynamic Yield, from our early days as a platform designed to help publishers tailor their reader’s content to today’s Experience OS, which enables businesses from across industries like eCommerce, Financial Services, Grocery, QSR, Travel, and more to meet the evolving needs of their customers through innovative, customizable, and agnostic technology. 

With the strong belief that our product development and service offerings should not only closely reflect the world around us but also anticipate and rapidly respond to its next move, I couldn’t be more proud about the fact that Dynamic Yield has been named a Leader in the Gartner® Magic QuadrantTM for Personalization Engines for the sixth straight year in a row (since the report was first published). Further, this year we’ve placed highest in execution and furthest in vision in the Magic Quadrant.

Gartner 2023 MQ for Personalization Engines

Gartner 2023 MQ for Personalization Engines

You can review or download a complimentary copy of the report, here (no form-fill required).

Our evolving vision of personalization

Today, forward-looking brands select innovative, best-of-breed technology over that of yesterday’s full-suite solutions. With this in mind, Dynamic Yield’s product underwent an architecture shift to that of an Experience OS (operating system), allowing teams to build and manage their own mix of personalization capabilities across a range of applications and extensions, like Element, which we launched to make Mastercard’s proprietary consumer spending data and predictive models available for integration and activation. 

Agnostic in every sense, this new infrastructure means that Dynamic Yield can quickly scale new machine learning algorithms, applications, and data, threading them across OS components while supporting vertical-specific capabilities for different business needs. It also enabled us to meet the growing demand for headless as more teams look to incorporate personalization into a composable, agile stack. 

The field of AI also underwent rapid changes this past year, with neural networks (ANN) designed to be faster and more flexible, handle broader and more complex datasets, and tackle larger challenges. Recognizing its power, we now use it to automatically expand the customer’s product catalog with deep learning via AdaptML, which also acts as a centralized brain that shares knowledge, insights, and decisions across applications and channels. 

I’d be remiss not to mention the significant opportunity of generative AI, which we quickly leveraged to develop CopywriteML, a tool that leverages the newly popularized system to automatically suggest diverse copy ideas for personalization campaigns. It has represented both an exciting and nerve-wracking time as it relates to the future of work, which is why Dynamic Yield’s Algorithm Studio sought to combine the best of both artificial and human intelligence (which we believe is critical to its continued adoption), enabling configurability and control to augment experiences created by the marketer through a no-code interface. 

Finally, considering the role Gen Z now plays in influencing both commerce and technology, we’ve continued to prioritize interactivity (see our chatbot-based recommendation templates), emerging channels like the metaverse, consumer privacy, and self-serviceability on the part of our end users, who have become an increasingly large portion of the workforce. 

How important our customers are in that work

At Dynamic Yield, we wouldn’t be where we are today without the input and feedback we’ve received from our customers, who have been instrumental in shaping our roadmap of products and services. 

Here’s what a few of them had to say, which we believe played a significant role in our industry-leading position: 

Very powerful tool with strengths in personalization, recommendations and A/B Testing. Flexible handling and incredibly many possibilities in the use of the different campaign types and functionalities. Great compatibility with other E-Commerce platforms. Particularly noteworthy are the people who worked for this company. They are so helpful, and they will always find the best solution to support and optimize.” – Gartner® Peer InsightsTM reviewer on April 6th, 2023.

A cutting-edge optimization platform which helps deliver enriching customized customer experiences by activating data from sources to drive sales. Dynamic Yield’s experience OS provides highly efficient algorithmic ways to match customer needs and product offerings.” – Gartner® Peer InsightsTM reviewer on October 25, 2022.

An even brighter future

There is still so much possibility in the field of personalization. We feel even stronger about this now that we are a part of Mastercard, which has not only allowed us to provide more differentiated capabilities to our customers but also expand the reach of our technology’s value. 

A unique and unmatched partnership, Dynamic Yield’s brand is evolving to reflect the combined strengths of both companies, solidifying us as the trusted, reliable, innovative, and global leader in the personalization market that we are. 

Thank you to everyone who has been a part of this continued journey with us. 

– Ori

Gartner, Magic Quadrant for Personalization Engines, 06 September 2023, Jason McNellis, Joseph Enever, Ant Duffin, Alex De Fursac Gash

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