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Mastercard Dynamic Yield

Email, SMS and push done right: A marketing leader’s guide to channel selection How Valamar engages travelers earlier with real-time booking context Gartner Recognizes Mastercard Dynamic Yield as an 8‑Time Leader in Personalization Engines— Mastercard Dynamic Yield 2026 Personalization Maturity: Disruption Is Redefining E-Commerce Success Modern customer journey orchestration: Latest capabilities, best practices and omnichannel strategies — Mastercard Dynamic Yield Saks Fifth Avenue Elevated Luxury With AI Personalization 2025 Personalization Maturity Report for E-commerce - ES — Mastercard Dynamic Yield 2025 Personalization Maturity Report for E-commerce - PT — Mastercard Dynamic Yield How to Drive More Subscribers to Your Mailing List: Proven Strategies for MarketersMastercard Dynamic Yield Reconnect by Mastercard Dynamic Yield: Smarter Customer Journey Orchestration Send-Time Optimization — Mastercard Dynamic Yield Channel Prioritization — Mastercard Dynamic Yield Real-Time Adaptation and Dynamic Optimization — Mastercard Dynamic Yield Post-click Experiences — Mastercard Dynamic Yield Search Ranking Optimization — Mastercard Dynamic Yield Visual Search — Mastercard Dynamic Yield Semantic Search — Mastercard Dynamic Yield How Bergzeit Increased Conversions 3x with Conversational AI Email Deliverability Best Practices: Reach the Inbox. Deliver the Experience. The enterprise guide to IP warming: Boost deliverability, ensure compliance, and power seamless journeys Visual Search Meets Multimodal AI: A New Era of Product Discovery Where human ingenuity fits in the AI-driven marketing era Infographic: The state of personalization maturity in e-commerce - 2025 AI and Personalization Are Revolutionizing E-commerce Search Transform product discovery with Experience Search: AI that understands your shoppers AI Fuels New Demands for Personalization — Is E-Commerce Maturing Fast Enough? From Fragmentation to Connection: Mastering User Identification for Personalization — Mastercard Dynamic Yield 2026 Personalization Maturity Report for E-commerce - PDF — Mastercard Dynamic Yield Add To Cart Recommendation Modal — Mastercard Dynamic Yield Shoppable Video Notification — Mastercard Dynamic Yield Dynamic Yield by Mastercard Recognized as a Leader by Gartner® and Forrester Leroy Merlin Gains 32% Purchases with ML Recommendations Conversational Commerce: Your Guide to This Market-Shifting Technology Your Global Test Could Be Limiting Your Personalization Growth — Mastercard Dynamic Yield Personalize with Empathy to Meet Evolving Customer Needs The Resource Constraints Blocking Banks’ Personalization Gain Steering by Data: How to Avoid Assumptions and Motivate Your Team — Mastercard Dynamic Yield AI and personalization can close the empathy gap between brands and their customers A Leader in the Gartner Magic Quadrant for Personalization - Dynamic Yield Black Friday Is Coming—Is Your Personalization Strategy Airtight? Personalization Blueprint Survey - Dynamic Yield by Mastercard How Personalization Fuels Success in Latin America's Digital Boom Signet Jewelers Sees 88% Conversion Lift from Personalization Solving Data Issues for Financial Services with Personalization — Mastercard Dynamic Yield How to Executive Reporting Can Help You Grow Your Personalization Program Breaking the personalization barrier for banks Bring the personal back to shopping this holiday season​ with Shopping Muse Dynamic Yield makes Personalization a Breeze for Issuer Dynamic Yield by Mastercard Is Making Personalization a Breeze for Banks How to Deliver a Less Frustrating Online Shopping Experience VIDEO: Banking's Personalization Revolution: Data-Driven Transformation Bunnings' Buyer Center Casas Bahia's Buyer Center Magalu's Buyer Center Carrefour's Buyer Center 3 Tips to Integrate GenerativeAI into Your Personalization Workflow — Mastercard Dynamic Yield TUI Cruises Sees 10.3% Uplift in Add to Cart from Personalization The Revenue Gains From Personalization That FIs Can’t Ignore Calling All UK Banks: Personalisation Is Crucial to Meeting the New Consumer Duty Mandate What Marketers Miss in the GenAI Discussion vidaXL's Buyer Center The 2 Breakthrough Technologies Driving Smarter Product Recommendations Fashion Retailers: Your Product Feed Needs Spring Cleaning, Too — Mastercard Dynamic Yield Tommy Hilfiger's Buyer Center G-Star Raw's Buyer Center Hunkemöller's Buyer Center Here's Why Your Customers Are Tuning You Out Intersport's Buyer Center How AI Is Ushering in the Future of Interactive Commerce Mastering Channel Prioritization: How to Optimize Re-Engagement with a Winning Strategy Clark's Buyer Center Optimized messaging for purchase completion Affinity-powered triggered messages - personalization use cases Anticipate customer's next best item - personalization use cases Charlotte Tilbury's Buyer Center Rituals' Buyer Center The Dynamic Duo of A/B Testing and Personalization Müller's Buyer Center Next's Buyer Center La Redoute's Buyer Center Why Gen Z Craves Personalized Restaurant Experiences The human advantage in the age of AI and personalization Sky Personalizes Subscription Management for Millions On Leverages Personalization to Build Community Build-A-Bear Workshop's Buyer Center Oak Furnitureland's Buyer Center Coach's Buyer Center The Perfect Match: Marry Your CMS and Personalization Systems for Customer Love 4 Signs You Need to Move Beyond Your ESP's Email Personalization Functionality Sainsbury's, meet Dynamic Yield Charles Tyrwhitt's Buyer Center Burberry's Buyer Center Personalization in QSR: The Possibilities You Didn’t Know Existed The State of Personalization Maturity in Grocery/CPG Chanel's Buyer Center Swarovski's Buyer Center Building the Right It: How “Pretotyping” Guides Product Decisions with Concrete Data The Power of a Primary Audience Strategy for Financial Services Similarity Badge — Mastercard Dynamic Yield How Deep Learning is Adding Predictive Personalization Prowess to User Affinity Profiling
McDonald’s to Acquire Dynamic Yield, Will Use Decision Technology to Increase Personalization and Improve Customer Experience
2019-03-25 · via Mastercard Dynamic Yield

CHICAGO, NEW YORK & TEL AVIV, ISRAEL – Mar. 26, 2019 – McDonald’s Corporation (MCD) and Dynamic Yield Ltd. today announced an agreement by which McDonald’s will acquire Dynamic Yield, a leader in personalization and decision logic technology. With this acquisition of Dynamic Yield, based in New York and Tel Aviv, McDonald’s builds on its significant technology investments for growth.

McDonald’s will utilize this decision technology to provide an even more personalized customer experience by varying outdoor digital Drive Thru menu displays to show food based on time of day, weather, current restaurant traffic and trending menu items. Using data, the decision technology can also instantly suggest and display additional items to a customer’s order based on their current selections.

This will enable McDonald’s to be one of the first companies to integrate decision technology into the customer point of sale at a brick and mortar location. McDonald’s tested this technology in several U.S. restaurants in 2018. Upon closing of the acquisition, McDonald’s will begin to roll this technology out in the Drive Thru at restaurants in the United States in 2019 and then expand the use to other top international markets. McDonald’s will also begin work to integrate the technology into all of its digital customer experience touchpoints, such as self-order kiosks and the McDonald’s app.

Dynamic Yield’s ability to meet McDonald’s customer needs, coupled with their commitment to grow capabilities around ever-changing consumer trends and evolving marketing technologies, allows for the continued advancement and elevation of the McDonald’s customer experience with technology and innovation.

“Technology is a critical element of our Velocity Growth Plan, enhancing the experience for our customers by providing greater convenience on their terms,” said Steve Easterbrook, President and Chief Executive Officer, McDonald’s Corporation. “With this acquisition, we’re expanding both our ability to increase the role technology and data will play in our future and the speed with which we’ll be able to implement our vision of creating more personalised experiences for our customers.”

Liad Agmon, co-founder and CEO of Dynamic Yield, added: “We started Dynamic Yield seven years ago with the premise that customer-centric brands must make personalization a core activity.  We’re thrilled to be joining an iconic global brand such as McDonald’s and are excited to innovate in ways that have a real impact on people’s daily lives.”

McDonald’s recent advancements in the tech space – including the development of McDonald’s Global Mobile App, Mobile Order and Pay, indoor and outdoor digital menu boards and self-order kiosks – have transformed customer experiences in and around its restaurants, by giving customers more ways to pay and personalize their orders to meet their needs.

Upon closing, McDonald’s will become sole owner and will continue to invest in Dynamic Yield’s core personalization product and world-class teams. Dynamic Yield will remain a stand-alone company and employees will continue to operate out of offices around the world. Dynamic Yield will also continue to serve their current, and attract future, clients.

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About McDonald’s
McDonald’s is the world’s leading global foodservice retailer with over 37,000 locations in 120 markets around the world. Over 90 percent of McDonald’s restaurants worldwide are owned and operated by independent local business men and women.

About Dynamic Yield
Dynamic Yield is an AI-powered Personalization Anywhere™ platform that delivers individualized experiences at every customer touchpoint: web, apps, email, kiosks, IoT, and call centers. The platform’s data management capabilities provide for a unified view of the customer, allowing the rapid and scalable creation of highly targeted digital interactions. Marketers, product managers, and engineers use Dynamic Yield daily for launching new personalization campaigns, running server-side and client-side A/B tests, leveraging machine-learning for product and content recommendations, and employing algorithms for smartly triggered email and push notifications. Headquartered in New York, the company serves more than 300 brands across the world.