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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 Positioned Highest and Furthest Position in ’22 Gartner Magic Quadrant for Personalization Engines
Ori Bauer · 2022-07-22 · via Mastercard Dynamic Yield

Every year, the Gartner® Magic Quadrant™ for Personalization Engines helps to codify the technology players shaping the category. The report’s release also acts as a marker in time, allowing us to take a step back from our busy day-to-day activities and reflect on a whole year’s worth of change.

Last year around this time, consumers were still very much reliant on digital channels amidst the ongoing fight with COVID-19. However, as we crossed the threshold into Q1 of 2022, we started seeing less traffic and sales compared to 2021, signaling that after two years of growth and expansion, the eCommerce boom was slowing.

And while predictions of what was thought to be a new norm did not end up holding true (despite the overall increase in eCommerce shares), a different standard was carved in stone. That being, consumers now expect a seamless, frictionless experience on every touchpoint, no matter what company they interact with, be it an eCommerce brand, financial institution, or quick-service restaurant.

We firmly believe personalization is not only the answer to meeting such demands but also helping teams retain the same level of engagement from customers by engendering loyalty through relevance, value, and convenience.

Given its critical importance, it is with great pleasure that I am able to announce Dynamic Yield has been named a Leader in Personalization Engines by Gartner. The fifth year we have been recognized in the same regard, this year, we were also positioned highest in execution and furthest in vision within the Magic Quadrant.

You can review or download a complimentary copy of the report, here (no form-fill required).

Leading the way in personalization

To adapt and maintain a competitive edge, companies must trade in basic rule-based segmentation for AI-driven personalization. Beyond its ability to scale decision-making, as user behavior varies widely across verticals, marketing teams will require AI to realize the value of 1:1 marketing by predicting the unique needs of their customers at any given moment. This is why the enhancement of our AdaptMLTM system is so significant – with it, teams can leverage algorithms that automatically adapt to different use cases and train models unique to their business without requiring a data science team, making it easier to adopt AI and set personalization strategies in motion.

Further, all of this advanced technology is available for use through an easy-to-use platform, which we consistently call out due to the fact that generating incremental and even exponential gains from a personalization program can be directly correlated with the ability to deploy campaigns with agility and speed. Our superior UI and streamlined workflows (which we have continued to refine) combined with a repository of prebuilt templates, including one-of-a-kind social-media inspired “stories,” “swipe right,” “live commerce” and animated experiences make that possible.

And because we know that personalization doesn’t exist in a vacuum, we offer the flexibility to extend activities beyond the web and across the technology stack through data-in and data-out connectivity – no prebuilt solutions necessary. As more and more companies begin to stitch together their digital channels, this level of agnosticity in experience delivery is absolutely vital.

Finally, and what is hopefully clear by now, Dynamic Yield is an innovation-led company. This means ensuring the latest technologies are reflected in the platform so businesses can be one step ahead of the market. A part of this has to do with incorporating meaningful user feedback into our products and services, as we know the real stars behind the platform are the individuals using it every day to smash their customer experience goals.

Here’s what a few of them had to say about us as part of the Gartner evaluation process:

Since implementing DY onto the site via creating new experiences or using it as an optimisation tool, it has been highly beneficial in improving not only our own processes in testing and implementation but also improving the overall user experience on our site. The tool has allowed the business to combine multiple site personalisation experiences (e.g. product recommendations, onsite messaging, triggered emails etc.) within one platform, this has allowed data sharing across multiple domains a lot easier.” – Gartner® Peer InsightsTM reviewer on February 3rd, 2022.

The customer success team at Dynamic Yield is one of the best I’ve encountered in this industry and in general. As for the product, the powerful recommendation algorithms and intuitive yet granular audience manager really set it apart. I am also always pleased to see their commitment to innovation and delivery on their product roadmap. Additionally, Dynamic Yield’s recommendation engine is extremely powerful and highly flexible, allowing us to serve recommendations on any screen, and with any design. It allows mixing and matching between different recommendation strategies, testing between different recommendation algorithms, adding custom merchandising rules on top of algorithmic decisions, and more.” – Gartner® Peer InsightsTM reviewer on February 10th, 2022.

Delivering on our vision

Ten years into Dynamic Yield’s operation, five years after the first release of the Gartner Magic Quadrant report for Personalization Engines, and two acquisitions later, we have held tight to the big dreams we have when it comes to the evolution of our technology. And ultimately, we believe our longstanding success through the different stages of our company’s history is a reflection of our ability to execute on that vision and the superior quality of products it has inspired us to deliver.

Before I sign off, I would be remiss not to acknowledge the many individuals who have helped us along the way: our passionate customers, valuable partners, and talented employees – this recognition is indeed a shared one.

Thank you.

– Ori

Gartner, Magic Quadrant for Personalization Engines, Jason McNellis, Joseph Enever, Ant Duffin, 18 July 2022

Gartner, Critical Capabilities Personalization Engines, Jason McNellis, Joseph Enever, Ant Duffin, 18 July 2022

Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

PEER INSIGHTS are trademarks and service marks, of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.