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Founded Year



Acquired - II | Acquired

Total Raised


About Dynamic Yield

Dynamic Yield provides digital customer solutions in marketing, product development, and e-commerce. Its main service involves providing a technology layer that algorithmically matches content, products, and offers to individual customers, aiming to increase revenue, build customer loyalty, and gain a competitive advantage. It primarily serves the ecommerce industry. It was founded in 2011 and is based in New York, New York. In December 2021, Dynamic Yield was acquired by Mastercard.

Headquarters Location

150 5th Avenue

New York, New York, 10011,

United States



Dynamic Yield's Product Videos

Dynamic Yield's Products & Differentiators

    Dynamic Yield Experience Email

    An email builder that lives within our end-to-end personalization platform that enables teams to build and drop Recommendations and Dynamic Content experience blocks into their email campaigns. Customers maintain relevancy by personalizing at open-time and marketers can even edit their emails after they’ve been sent. They can also use our triggered emails to deliver timely and relevant campaigns based on cart abandonment, price drop alerts, or any other custom event. And with our Audience Export feature, enriching their existing ESP with the robust segmentation data we collect on the web has never been easier.


Research containing Dynamic Yield

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Dynamic Yield in 2 CB Insights research briefs, most recently on Nov 16, 2022.

Expert Collections containing Dynamic Yield

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Dynamic Yield is included in 10 Expert Collections, including Restaurant Tech.


Restaurant Tech

1,075 items

Hardware and software for restaurant management, bookings, staffing, mobile restaurant payments, inventory management, cloud kitchens, and more. On-demand food delivery services are excluded from this collection.


Grocery Retail Tech

831 items

Startups providing B2B solutions to grocery businesses to improve their store and omni-channel performance. Includes customer analytics platforms, in-store robots, predictive inventory management systems, online enablement for grocers and consumables retailers, and more.


AI 100

99 items

Winners of CB Insights' annual AI 100, a list of the 100 most promising AI startups in the world.


Market Research & Consumer Insights

720 items

This collection is comprised of companies using tech to better identify emerging trends and improve product development. It also includes companies helping brands and retailers conduct market research to learn about target shoppers, like their preferences, habits, and behaviors.


Artificial Intelligence

10,958 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.


Conference Exhibitors

5,302 items

Dynamic Yield Patents

Dynamic Yield has filed 1 patent.

patents chart

Application Date

Grant Date


Related Topics




Mathematical optimization, Machine learning, Bayesian statistics, Data management, Natural language processing


Application Date


Grant Date



Related Topics

Mathematical optimization, Machine learning, Bayesian statistics, Data management, Natural language processing



Latest Dynamic Yield News

Mastercard's Dynamic Yield launches AI tool Shopping Muse for personalised retail experience

Dec 1, 2023

Today Dynamic Yield by Mastercard has launched Shopping Muse, an advanced generative AI tool designed to redefine how consumers explore and find products in a retailer's digital catalogue. Shopping Muse, underpinned by Dynamic Yield's advanced personalisation capabilities, combines contextual understanding and behavioural insights. It then utilises recommendations informed by the retailer's keywords, visual cues and the consumer's interests, which helps differentiate it from similar market offerings. Shopping Muse replicates the physical in-store buying experience by interpreting consumers' everyday language and offering customised product recommendations. Customers can explore trending looks, styles, desired dress codes, and even unusual search terms like 'cottagecore' or 'beach formal' without any difficulties. Shopping Muse's recommendations align with each individual consumer's distinct profile, inclinations, and conversations and consistently deliver perfect results, even for the most unconventional queries. Raj Seshadri, President of Data and Services at Mastercard, said, "Solutions like Shopping Muse are the next natural step in the retail revolution and are core to putting the consumer back at the centre of the journey." "At Mastercard, we are enabling technology and machine learning to work towards delivering better outcomes for both brand and consumer." Shopping Muse is not just limited to textual search entries. It can help reduce shopper frustration by assisting them in the discovery of their perfect items, even when they struggle to express it in words. Thanks to advanced image recognition technologies, retailers can suggest products that visually resemble what the customers are searching for, even if the items lack technical tags. Based on previous browsing history or past purchases, the tool understands the shopper's affinity and takes this into account while predicting their next purchasing intention. This understanding, aligned with the awareness of broader customer behaviour, enables the retailer to offer complementary rather than redundant product suggestions. Ori Bauer, CEO of Dynamic Yield by Mastercard, said, "Personalisation offers people the shopping experiences they desire, and AI-driven innovation holds the key to unlocking immersive and tailored online shopping." "By leveraging the power of generative AI in Shopping Muse, we are meeting the consumers' standards and making shopping more intelligent and seamless than ever." In the fast-paced age of emerging trends and advanced deep-learning algorithms, retailers must remain agile by adapting to changing demands and meeting consumers' high expectations. That's why adopting technology, such as generative AI, is vital, with more than a quarter of retailers already using generative AI solutions and a further 13% planning to do so in the next year. Mastercard purchased Dynamic Yield, a six-time leader in the Gartner Magic Quadrant for Personalisation Engines, in 2022. This was to enhance its consumer engagement offerings and loyalty services, thereby assisting brands in delivering more efficient and trusted experiences across various channels. By prioritising a thorough Privacy by Design approach and the application of effective AI principles and standards, Mastercard incorporates the best privacy safeguards within all its product and service offerings. Follow us on:

Dynamic Yield Frequently Asked Questions (FAQ)

  • When was Dynamic Yield founded?

    Dynamic Yield was founded in 2011.

  • Where is Dynamic Yield's headquarters?

    Dynamic Yield's headquarters is located at 150 5th Avenue, New York.

  • What is Dynamic Yield's latest funding round?

    Dynamic Yield's latest funding round is Acquired - II.

  • How much did Dynamic Yield raise?

    Dynamic Yield raised a total of $83.25M.

  • Who are the investors of Dynamic Yield?

    Investors of Dynamic Yield include Mastercard, McDonald's, Naver, Bessemer Venture Partners, Viola Group and 14 more.

  • Who are Dynamic Yield's competitors?

    Competitors of Dynamic Yield include OfferFit, Evolv AI, Fresh Relevance,, Personify XP and 7 more.

  • What products does Dynamic Yield offer?

    Dynamic Yield's products include Dynamic Yield Experience Email.

  • Who are Dynamic Yield's customers?

    Customers of Dynamic Yield include Catch Co..


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