Dynamic Yield Personalization & Conversion Optimization Blog
2026-02-28 16:52 Diff

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Mastercard Dynamic Yield Recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for Personalization Engines

Eight times recognized as a Gartner® Leader in Personalization Engines, demonstrating strong performance across multiple personalization use cases in the Critical Capabilities report and differentiated by Mastercard’s insights and advanced AI.

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Transform product discovery with Experience Search: AI that understands your shoppers

Today’s shoppers expect search experiences that understand their intent—not just their keywords. With Experience Search by Dynamic Yield, businesses can deliver faster, smarter, and more personalized product discovery powered by AI.

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AI Fuels New Demands for Personalization — Is E-Commerce Maturing Fast Enough?

Our latest research finds e-commerce brands have made personalization a top priority amid rising customer expectations fueled by artificial intelligence (AI). But as they invest in processes to unlock efficiency gains, a lack of dedicated staffing could stall their momentum.

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Dynamic Yield by Mastercard Recognized as a Leader by Gartner® and Forrester

This double recognition highlights our 7 years of unmatched leadership in the Gartner® Magic Quadrant™ for Personalization Engines and being named a Forrester Wave™ Leader in Experience Optimization Solutions for 2024.

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Personalize with Empathy to Meet Evolving Customer Needs

Learn how Empathic Personalization provides insights into user’s states of mind to measure, target, and recommend the best experience to build a deeper emotional connection

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Dynamic Yield by Mastercard Is Making Personalization a Breeze for Banks

Mastercard’s predictive spend insights, activated through Dynamic Yield’s market-leading personalization technology, provide a new way for Issuers to optimize card spend — without the lift.

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Mastering Channel Prioritization: How to Optimize Re-Engagement with a Winning Strategy

Learn how Reconnect can help you capture your customers’ attention with personalization at every critical moment along with best practices to keep customers coming back.

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The Perfect Match: Marry Your CMS and Personalization Systems for Customer Love

How creating an interconnected composable marketing ecosystem helps you deliver an experience your customers will fall in love with.

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While optimistic, Grocery/CPG brands’ personalization potential stifled by operation and resource gaps

Grocery e-commerce is set to double over the next five years. Shoppers are demanding increasingly personalized experiences. Is the industry prepared? See what our research had to say in our 2024 State of Personalization Maturity in Grocery/CPG report.

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Beyond Past Behavior: Predict Future Needs with AI-Powered Affinity

Dive under the hood of AffinityML, a neural network algorithm that unlocks real-time understanding of individual customer preferences, enabling to anticipate and fulfill their needs with pinpoint accuracy

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Dynamic Yield by Mastercard Unveils Shopping Muse, the Next Generation Personal Retail Assistant

Bolstered by advanced personalization capabilities, the generative AI-based tool redefines a tailored retail experience

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Crucial Takeaways from Personalisation Pioneers Singapore 2023

From becoming truly data-driven to working smarter, use the day’s learnings to find your programme’s edge.

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Driving Big Results with Personalization

  • How Valamar converts travel intent into bookings with real-time context

  • What makes Saks’ personalization engine a game-changer for driving 10% more conversions?

  • Bringing the in-store expert online: How Bergzeit reinvented gear discovery with conversational commerce

  • 32% of Total Purchases from AdaptML Recommendations

  • +88% Conversion Uplift with Mastercard Predictive Spend Insights

  • Making Personalization a Breeze for Leading Financial Institutions

  • +10.3% uplift in add-to-cart rate

  • 39% decrease in same-month cancellations

  • 16% contribution to D2C revenue from Dynamic Yield

  • 16% of revenue from recommendations