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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 Mastercard Dynamic Yield Recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for Personalization Engines 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 Named a Leader in Personalization Engines by Gartner for Fourth Year
Liad Agmon · 2021-07-22 · via Mastercard Dynamic Yield

It feels like so much has changed since we announced that Dynamic Yield had been named a Leader by Gartner® in its last Magic Quadrant™ report for Personalization Engines during July of 2020. At that time, the world was still adjusting to life with COVID-19, unsure of what the future would hold. But even then, it had become abundantly clear that life as we knew it had changed forever – with the lion’s share of experiences moving online, consumers were engaging with brands and buying in completely new and unique ways.

This not only made catering to each individual’s in-the-moment needs much more important, but also created higher overall expectations in regards to how they find the right products to purchase, meals to order, podcasts to listen to, content to stream, and so forth. Recognizing the acceleration would create a newfound demand and esteem for personalization, we increased the R&D group at Dynamic Yield by 15% and doubled the size of our data science team.

Leading up to the 2021 Gartner Magic Quadrant report, we’ve launched dozens of new features, capabilities, services, and improvements – and all to the same platform we’ve been building since the very beginning. That’s why I couldn’t be prouder to share that Dynamic Yield was not only named a Leader in this year’s report but also positioned both highest for our ability to execute and furthest for completeness of vision.

You can download a complimentary copy of the report, here.

The secrets to our success

With AI’s role in marketing increasing, our best-in-class algorithms include self-training deep learning recommendations models that help teams predict customer intent and affinity in real-time. And we’re working on making sure the output of these machines becomes more and more actionable, clear, and measurable to the business.

As technical teams play a larger role in decision-making and experience development, our open architecture prioritizes flexibility, security, connectivity, scale, and governance. And because of Dynamic Yield’s superior UI and streamlined workflows, both marketers and developers can easily use the platform to collaborate on omnichannel personalization campaigns, with agility.

We closely monitor the market, analyzing predictions on trends expected to shape the industry, using the insights gained to inform our product roadmap. But more importantly, almost 70% of the features developed in 2020 were based on direct feedback from those who use the Dynamic Yield platform most, our customers and partners. Why? Because it is their remarkable and innovative work that pushes us forward.

Their reviews of the Dynamic Yield platform in places like Gartner Peer Review, TrustRadius, and G2 Crowd confirm our steadfast commitment to building the technology they need to thrive in a highly competitive global marketplace.

On August 18th, 2020:

Dynamic Yield is an extraordinary software to provide a satisfying experience to each customer through eye-catching, high quality, and fully customized content. The tool is very robust for capturing data, merging it, and creating consistent data to allow for site customization, the service is perfect for storing and synchronizing data to CRM, ESP, API, and DMP systems. Boosting customer engagement has never been more efficient through product recommendations that suit each user as they navigate or interact on the site. Dynamic Yield is a comprehensive platform for integrating and working with Google Analytics, Tealium, Marketo, Salesforce Marketing Cloud, Oracle Broto, and others.” – a Gartner Peer Insights reviewer

On August 21st, 2020:

Dynamic Yield has been a brilliant platform for effective marketing throughout our company, as the service allows us to provide a personalized experience to all our customers through many digital sources, the service is quite innovative, it fits very well with all our uses, it has given us a unique and quite satisfactory experience because of how good it is to increase sales, retain new customers and increase revenue streams.” – a Gartner Peer Insights reviewer

You ain’t seen nothin’ yet

The market has changed significantly since 2018 when Gartner released its first-ever Magic Quadrant report on Personalization Engines. Through it all, Dynamic Yield has remained consistent in holding its position as a Leader, and we look forward to continuing to evolve with the needs of businesses from across the globe as they make personalization the lifeblood of customer experience delivery.

Thank you to all who have supported us along the way.

This is only just the beginning, so stick around.

– Liad

Gartner, Magic Quadrant for Personalization Engines, 19 July 2021, Jason McNellis, Claire Tassin, Jennifer Polk

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Dynamic Yield.

The GARTNER PEER INSIGHTS Logo is a trademark and service mark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved. Gartner Peer Insights reviews constitute the subjective opinions of individual end users based on their own experiences and do not represent the views of Gartner or its affiliates.

Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.