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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
Black Friday/Cyber Monday 2019 statistics based on 54.2M carts
2019-12-18 · via Mastercard Dynamic Yield

Consumers flocked to their favorite retail stores and doorsteps were littered with packages after the season’s most popular sales event of the year. Cyber Monday, alone, contributed to an estimated $9.2bn in spending, beating out Black Friday at $7.4bn. Together, the long holiday weekend proved record-breaking, generating 2.5bn more in combined sales than in 2018. 

A critical time for eCommerce brands, with steep competition from a growing number of players in the market as well as industry titans like Amazon, which stated this Cyber Monday was its biggest shopping day ever, more brands than ever are tailoring the customer experience to maximize the influx of visitors. 

But what type of impact has personalization had on online shopping behavior this BFCM?

To find out, Dynamic Yield analyzed 1.3 billion pageviews and 52.4 million add-to-carts across 25+ different eCommerce verticals globally and compared the results against the rest of the year’s average. eCommerce teams can use the strategic insights to benchmark their efforts, better gauge what to expect next year, and then plan accordingly. 

Massive traffic peaks

During Black Friday weekend, traffic sky-rocketed for many sub-verticals, while others witnessed smaller bumps in visitors. 

Spikes in unique users during Black Friday & Cyber Monday

Black line represents spikes in unique users, reaching its highest peak on Black Friday 

Overall, retailers saw a 58.2% change in their average daily users. Sub-verticals leading the way included Consumer Electronics, with 159.1% higher traffic, Drug Stores & Pharmacies, with 133.4% more traffic, and Home & Furniture, with a 107.9% uplift in traffic. 

Other sub-verticals include:

  • Apparel & Accessories +55.2% 
  • Arts & Entertainment + 27.8%
  • Athletics & Outdoors + 78.7%
  • Automotive + 13.2%
  • Beauty & Personal Care + 63.3%
  • Footwear & Accessories + 52.2%
  • Luxury & Jewelry + 86.6%

No surprise here, consumers electronics are some of the most heavily discounted and popular items purchased on Black Friday – only this year, many people went online to scout for deals instead of in-store. On the flip side, while the automotive industry may offer a number of national and regional deals specials, consumers didn’t inquire about them much online.

Significant revenue lifts

High spikes in traffic translated into huge revenue lifts for a number of retailers throughout Black Friday and Cyber Monday, with all but one sub-vertical reaping the reward. 

Spikes in revenue witnessed during Black Friday & Cyber Monday

Black line represents spike in revenue, reaching its highest peak on Black Friday 

Overall, retailers witnessed a staggering 123% change in revenue, with Consumer Electronics coming out on top, generating a 660% + increase in revenue, followed by Footwear & Accessories with a 301.5% uplift in revenue, and Luxury & Jewelry trailing not far behind with an additional 293.5% in revenue. 

  • Office & Gifts + 142%
  • Home & Furniture + 84.9% 
  • Apparel & Accessories + 93.6% 
  • Arts & Entertainment + 42.7%
  • Athletics & Outdoors + 123.8%
  • Automotive – 42.2%
  • Beauty & Personal Care + 39%

It’s interesting to see that even while the Footwear & Accessories and Luxury & Jewelry verticals didn’t necessarily receive the lions share of traffic, more shoppers ultimately completed a purchase, producing a much higher quality of visitors. Beauty & Cosmetics, however, saw more traffic but fewer transactions.

Higher AOVs from recommendations

Average order value (AOV) from recommendations during the rest of the year is around 7%, but on Black Friday / Cyber Monday, recommendations contributed to a significantly higher overall AOV.

People who purchased a product during Black Friday week within a day after clicking on a recommendation widget had a 24.6% higher AOV compared to others who purchased items without engaging with product recommendations

Recommendations are clearly an invaluable tool for product discovery, not only throughout the year but in instances of important sales events such as this, allowing visitors to find relevant items amongst large inventories. 

Fewer products bought per person, but more spent

Globally, shoppers spent 23.7% more per item during Black Friday weekend but bought 6.1% fewer products.

But this story changes for different sub-verticals:

For Apparel & Accessories Retailers, consumers spent roughly the same amount of money on average per item, but the number of items per transaction went up by 9.39%. 

In the Home & Furniture sector, consumers purchased 14.59% more items per transaction but spent an average of 25% less on each product. 

In Luxury & Jewelry, consumers spent 282.8% more on average per each item, but purchased fewer products per transaction, at 22.9%. 

It makes sense in an industry with larger price points like Luxury & Jewelry to expect shoppers will more purchase one or two high-ticket items, though a similar sentiment for Home & Furniture doesn’t quite stand up. This may be attributed to easy gifting of smaller home essentials like throws, pillows, ceramics, and so on. And with lots of great deals on products within Fashion & Apparel, it’s cost-effective to purchase an entire look or complete the wardrobe for the rest of the family. 

Post BFCM crazies

We hope these insights allow you to reflect more deeply on the results of your Black Friday / Cyber Monday efforts. With a greater understanding of how exactly consumer behavior changes throughout the popular sales event, it should allow for greater strategic thinking as you prepare for next year.