In 2018, the Gartner® Magic Quadrant™ for Personalization Engines was established, validating the strategic business importance of a tailored digital customer experience – a mission Dynamic Yield had been advocating for since our founding in 2012!

At the time, we were already personalizing experiences for more than 600 million users globally. We concluded our Series D funding, were experiencing record growth, launching innovative capabilities like Multi-Touch Campaigns, and making it to lists like the Deloitte Fast 500. Our leadership position by Gartner® was the icing on the cake!

The report went from 18 vendors down to 14 in 2019 as Gartner® refined its criteria for inclusion. Yet, Dynamic Yield remained a Leader, making it our second year in a row. It felt surreal, but we’d end up getting used to that.

This was also the year we were acquired by McDonald’s to fast track its digital transformation, bringing our personalization technology into all its digital customer experience touchpoints.

All the while, we continued to innovate, releasing outlier handling in A/B testing, algorithms specifically design for email recommendations, the introduction of affinity-based audiences, in-store purchase targeting, and more.

The year of social distancing, we placed highest for execution and furthest for completeness of vision among 12 other vendors in the 2020 Gartner® Magic Quadrant™ for Personalization Engines – staying 6 feet away from our competitors, per CDC guidelines.

This was our third consecutive time as Leaders!

Other notable milestones for the year included the expansion of our APIs to bring personalization beyond the web, the introduction of a first-of-its-kind cookie consent solution, the ability to leverage Dynamic Yield audiencing capabilities anywhere – among others.

By 2021, we had been endorsed by The Hoff, known for his epic roles in Knight Rider and Baywatch. An unexpected influencer, he took to the internet to congratulate Dynamic Yield on the company’s incredible achievement of being named a Leader by Gartner® in its 2021 Magic Quadrant™ for Personalization Engines.

While the Hoff is hard to top, other memorable moments included the launch of AdaptML (a centralized AI system which includes deep learning-based recommendations), a unified email personalization solution, support for multilingual campaigns as well as single page applications (SPAs), and more.

In 2022, the Magic Quadrant™ made substantial changes to the evaluation criteria that would better align with the personalization needs of marketing users as vendors continued to adapt to their own customers’ needs and changing behaviors.

Right up our alley, Dynamic Yield was named a Leader for the 5th year in a row. Our excitement manifested in marketing campaign full of muppets.

This year also marked our acquisition from Mastercard, enabling us to extend our state-of-the-art personalization technology to more enterprise brands. Shortly after, we established an entirely new category with our Experience OS, which made way for our induction into the MACH Alliance.

Four trends influenced the Personalization Engines market in 2023 according to Gartner®: generative AI, anonymous personalization, composable, and customer lifecycle support.

Given the strong alignment with our product innovation, from our gen AI Copywriter solution and later, Shopping Muse AI assistant, to Element (activation of Mastercard’s proprietary consumer spend data and predictive models for targeting), our flexible architecture, launch of Reconnect for managing channel engagement, and more—Dynamic Yield was yet again named a Leader in the 2023 MQ™.

We celebrated the milestone of 6 consecutive years of leadership by launching an award into outer space, representing out-of-this-world personalization!

7 years later, Dynamic Yield remains a Leader, positioned highest and furthest in the Gartner® 2024/2025 Magic Quadrant™.

As part of our devotion to innovation and excellence in a quickly evolving category, we enhanced our AdaptML system to include NextML for predicting the next-best items, AffinityML to build deep learning-based affinity and intent profiles, and VisualML for recommending visually similar products. Plus, we launched Empathic Personalization to help brands better identify their customers’ state of mind and act with empathy.

To celebrate, we partnered with the hottest AI pop stars to release our favorite CX hits on one epic album.

Play the album →