惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

S
Security @ Cisco Blogs
Y
Y Combinator Blog
N
Netflix TechBlog - Medium
aimingoo的专栏
aimingoo的专栏
Martin Fowler
Martin Fowler
大猫的无限游戏
大猫的无限游戏
IT之家
IT之家
C
Check Point Blog
爱范儿
爱范儿
A
About on SuperTechFans
博客园 - 聂微东
V
Visual Studio Blog
博客园_首页
WordPress大学
WordPress大学
Help Net Security
Help Net Security
博客园 - Franky
Forbes - Security
Forbes - Security
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
Webroot Blog
Webroot Blog
博客园 - 司徒正美
人人都是产品经理
人人都是产品经理
量子位
Vercel News
Vercel News
Google DeepMind News
Google DeepMind News
W
WeLiveSecurity
V
V2EX
SecWiki News
SecWiki News
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
Hugging Face - Blog
Hugging Face - Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
S
Securelist
L
LangChain Blog
C
CXSECURITY Database RSS Feed - CXSecurity.com
Schneier on Security
Schneier on Security
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
The Register - Security
The Register - Security
L
Lohrmann on Cybersecurity
www.infosecurity-magazine.com
www.infosecurity-magazine.com
P
Privacy International News Feed
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
C
Cyber Attacks, Cyber Crime and Cyber Security
Simon Willison's Weblog
Simon Willison's Weblog
Apple Machine Learning Research
Apple Machine Learning Research
Security Archives - TechRepublic
Security Archives - TechRepublic
Latest news
Latest news
Spread Privacy
Spread Privacy
F
Full Disclosure
美团技术团队
I
Intezer

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
Embed recommendation widgets to make it easier for returning users to get back into context in iGaming
2020-06-04 · via Mastercard Dynamic Yield

Make it easier for returning users to pick up where they left-off by using embedded recommendations

Who:

A large British online casino company

Strategy:

To help users pick up where they left off, the gaming company displayed recently viewed or played games to returning users as soon as they arrived back onsite.

Make it easier for returning users to pick up where they left-off by using embedded recommendations Make it easier for returning users to pick up where they left-off by using embedded recommendations

Hypothesis:

There are many reasons why a gamer may not place a bet while visiting a site. Some may be distracted while others are just not ready to play. No matter the reason, it is in every gaming company’s best interest to guide users back to games they have viewed, played, or shown interest in in the past. Using recommendations, gaming companies can display the most relevant games and content to each user, saving them precious time and energy.

What real growth looks like with personalization