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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 Launches eCommerce Benchmarks – a Free Tool to Discover Industry Metrics Across Digital Channels
Dynamic Yield Marketing · 2020-11-19 · via Mastercard Dynamic Yield

[New York, November 19, 2020] Dynamic Yield, the Experience Optimization platform, today announced the release of eCommerce Benchmarks – a new free tool enabling marketers to compare their conversion KPIs with aggregated anonymized industry data from other companies. This tool provides brands with valuable context, helping them set meaningful targets, gain insights into trends occurring across their industry, and find out how their metrics outperform or underperform in comparison.

The benchmarking data, which is based on more than 200M monthly unique users collected over 300M total sessions, is available for seven key conversion metrics – including shopping cart abandonment, conversion rate, and add-to-cart rate – across location, device, and industry. 

“Our new industry benchmarks tool helps businesses focus on what’s working and improve on what’s not. It is designed to help them prioritize experience optimization opportunities, set realistic goals, and maintain their competitive analysis,” said Yaniv Navot, VP of Global Marketing at Dynamic Yield. “Our customer base consists of hundreds of global brands who have been testing, optimizing, and elevating online experiences for years, and can provide a strong baseline to aspire to and surpass.”  

The eCommerce Benchmarks tool uncovered interesting insights and trends between May and October of 2020 including:

  • The Food & Beverage industry saw the highest add-to-cart rates in May, nearing 13%, as shoppers scurried to purchase their groceries amid COVID-19, dropping in June only to rise again over recent months, where it’s hovering at about 11%. 
  • Similarly, Consumer Goods (which includes Consumer Electronics and Office & Gifts) skyrocketed in June, with average order values seeing a 92% uplift as laptops, office furniture, and other purchases may have been prioritized for increased time working remotely. 
  • Over the past six months, Beauty & Personal Care has seen the highest conversion rates, peaking in October at 6.19%, making it the hottest industry as we head into the holiday season. 
  • Order values among Home & Furniture has remained steady, averaging $277.81 across a six month period, with a 10.43% spike in October indicating shoppers may be spending a little more to prepare for life at home this winter.

“Creating an optimal customer journey is not a simple task, it takes a complete understanding of not only your own data but of where you stand with your competitors,” said Robbie Reaves, Product Manager at Build.com. “The eCommerce Benchmark tool allows us to compare ourselves with other retailers in the same industry and helps us better understand what customer experiences we need to prioritize.”

In the future, Dynamic Yield plans to increase the historical date range being used for analysis, which currently extends six months, to include year over year (YoY) changes. To learn more or get started, visit: marketing.dynamicyield.com/benchmarks.

About Dynamic Yield

Dynamic Yield helps enterprise brands quickly deliver and test personalized, optimized, and synchronized digital customer interactions. Marketing, Product, Development, and eCommerce teams from more than 350 global companies are using Dynamic Yield’s Experience Optimization platform as the technology layer on top of existing CMS or Commerce solutions, to iterate faster and algorithmically match content, products, and offers to each individual for the acceleration of long-term business value.