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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
Dynamic Yield Launches Affinity-Based Personalization
2019-09-12 · via Mastercard Dynamic Yield

[New York, September 12, 2019] Dynamic Yield, the AI-Powered Personalization Anywhere™ platform, today announced the release of Affinity-Based Personalization – a new capability allowing brands to leverage automatically generated user affinity profiles to easily build a new class of user segments and deliver highly-targeted experiences across channels. 

While retailers track purchases, they’ve missed out on a trove of highly valuable information in the form of product and category browsing activity over the years. This structured data can be used for the creation of more relevant and individualized marketing campaigns, but instead, often goes completely unsaved. Dynamic Yield can now match a visitor’s browsing activities with the attributes of the products they interact with, leveraging the data to build a unique affinity profile for each individual in real-time. In turn, this allows for the automated creation of new and sophisticated user segments that can be utilized across all channels, including web, mobile, app, email, as well as sent to external third-party platforms like DMPs, BI tools, DSPs, and more.

Each user’s affinity profile is constantly refreshed with every interaction, providing unique insights into their preferences to specific colors, brands, sizes, categories, price ranges, or any such attribute present in the product or content feed. An explanation of the methodology on how a user’s affinity is calculated can be found here: dynamicyield.com/blog/exposing-the-complexity-of-user-affinities

A visual representation of a visitor’s individual affinities

Here are some actual, specific examples of how customers of Dynamic Yield have used Affinity-Based Personalization: 

  • A clothing retailer delivered highly individualized product recommendations based on user-affinity towards certain categories of products.
  • A travel site built an audience of users only interested in a certain type of a vacation, and used all on-site banners & offers to promote that category of vacation. 
  • A multi-brand retailer identified users who were displaying affinities to select brands and aggressively promoted deals featuring the brand. 
  • Based on a user’s affinity to select categories and on-sale items, a retailer changed the layout of the top navigation to highlight on-sale products.

“Product metadata is a huge asset to marketers which has largely been underutilized until now,” said Liad Agmon, CEO of Dynamic Yield. “With this new capability, it can be leveraged to uncover meaningful correlations between the product a user is interacting with and its many attributes for the creation of deeply segmented and tailored experiences across channels.” 

“We love how Dynamic Yield has allowed us to learn more about our customer base,” said Greg Cormier, Global Director of Digital Marketing & Communications at G Adventures, the leading small group adventure travel company. “We’ve gained valuable insights into who the individuals are behind each of our trips, and utilizing Affinity-Personalization, can more effectively connect with them based on their distinct buying habits.” 

Built on the back of direct customer feedback, Affinity-Based Personalization has been in beta since May 2019 and has already become the single fastest adopted capability within Dynamic Yield’s diverse feature set. This capability has been used to power both 1:1 experiences, as well as delivering highly targeted experiences to specific segments.

For more information on Dynamic Yield’s Affinity-Based Personalization capabilities, visit: dynamicyield.com/affinity

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 from more than 350 brands around the world use Dynamic Yield daily for launching new personalization campaigns, running client-side and server-side testing, leveraging machine-learning for product and content recommendations, and employing algorithms for smartly triggered email and push notifications. Dynamic Yield Ltd. is a wholly-owned subsidiary of McDonald’s Corporation.