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
SegmentFault 最新的问题
月光博客
月光博客
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
S
Secure Thoughts
Jina AI
Jina AI
罗磊的独立博客
S
Security @ Cisco Blogs
V
V2EX
PCI Perspectives
PCI Perspectives
N
News and Events Feed by Topic
大猫的无限游戏
大猫的无限游戏
人人都是产品经理
人人都是产品经理
酷 壳 – CoolShell
酷 壳 – CoolShell
AI
AI
www.infosecurity-magazine.com
www.infosecurity-magazine.com
Hacker News - Newest:
Hacker News - Newest: "LLM"
爱范儿
爱范儿
V
Visual Studio Blog
T
Tor Project blog
Google DeepMind News
Google DeepMind News
AWS News Blog
AWS News Blog
雷峰网
雷峰网
阮一峰的网络日志
阮一峰的网络日志
E
Exploit-DB.com RSS Feed
T
Tenable Blog
The Hacker News
The Hacker News
宝玉的分享
宝玉的分享
WordPress大学
WordPress大学
H
Heimdal Security Blog
腾讯CDC
IT之家
IT之家
A
Arctic Wolf
S
Security Archives - TechRepublic
NISL@THU
NISL@THU
Attack and Defense Labs
Attack and Defense Labs
博客园 - 司徒正美
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
博客园 - 三生石上(FineUI控件)
Apple Machine Learning Research
Apple Machine Learning Research
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Spread Privacy
Spread Privacy
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
W
WeLiveSecurity
Simon Willison's Weblog
Simon Willison's Weblog
Latest news
Latest news
The Cloudflare Blog
H
Hacker News: Front Page
博客园_首页
V
Vulnerabilities – Threatpost
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More

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
eCommerce Benchmarks – an insights tool to discover and track industry conversion metrics
Yaniv Navot · 2020-11-19 · via Mastercard Dynamic Yield

Data has become a new currency, but gaining access to powerful data points beyond the scope of your individual business can be challenging. We know today’s leading brands often lean on internal benchmarks if readily available, but with consumer behavior and trends shifting on a regular basis, staying abreast of KPI targets and refining goals is no walk in the park.

In our experience over the last decade working with over 350 global brands, we’ve been afforded the opportunity to track consumer insights and behavior across channels for over 200 million monthly users. This translates into over 300 million sessions across seven, key conversion metrics, including shopping cart abandonment, conversion rate, and add-to-cart rate, by location, device, and industry.

With consumers turning to eCommerce at an unprecedented rate for their shopping needs, the pressure is on marketers to optimize their sites, craft pleasant and memorable experiences, and look back on historical data to glean powerful insights to inform future tests.

ecommerce industry benchmarks tool

Introducing, our new eCommerce benchmarks tool

Our eCommerce Benchmarks tool is the home base for valuable conversion metrics and data points, aggregated centrally to help marketers conduct their own research. Designed to serve as a starting point, all information, while anonymized, is derived from the activity of real consumers. Using this free, public tool, eCommerce teams can pull insights to benchmark their own efforts, track performance, and plan their programs accordingly. Below, learn how to use the tool and uncover notable trends and insights based on six months of eCommerce data.

Breaking down eCommerce trends and benchmarks

Understanding how a brand stacks up against the competition is an ever present endeavor, and tracking consumer behavior on an industry-level can help marketers identify gaps in their own plans and prioritize any backlogs of campaign ideas.

How to effectively use the tool

The tool provides access to seven KPIs across eight sub-industries within the eCommerce sector. Users can utilize filters to breakdown their view by device (desktop, mobile, tablet) and region (America, APAC, EMEA), as well.

A gif of the different filters for the conversion rate KPI on Dynamic Yield's industry benchmark tool

Users can filter the data by industry, region, and device type.

Our benchmark tool analyzes data according to the following seven KPIs:

  • Device Usage: Site traffic broken down according to the device type used
  • Conversion Rate: The percentage of site visitors that complete a given action, such as a purchase or email sign up
  • Add-to-Cart rate: The number of times a shopper adds items to their cart, regardless of whether they complete a purchase
  • Cart Abandonment Rate: The percentage of shoppers that add an item to the cart but leave the site without completing a purchase
  • Average Order Value: The amount of dollars spent per person by site visitors, on average
  • Units per Transaction: The number of items purchased per site visitor in a single order
  • Average Transactions per User: The percentage of purchases completed per user on average over a fixed period of time, typically 30 days

Additionally, users can filter by industry, exploring data over the six-month period for the following, eight eCommerce sub-industries:

  • Beauty & Personal Care
  • Consumer Goods
  • Fashion, Accessories, and Apparel
  • Food & Beverage
  • Home & Furniture
  • Luxury & Jewelry
  • Multi-Brand Retail
  • Pet Care & Veterinary Services

Whether you’re in search of information to help you identify a “good” conversion rate for brands in your vertical, determine if your site visitors are abandoning too quickly during peak seasons, or nail down how much to invest your mobile presence, this tool can shed light on some of your team’s most pressing questions.

Users can download and save graphs in the views they’ve filtered for future reference. Additionally, dive into recommended reading and access strategies related to each KPI to aid your process of improving or optimizing your site experience.

A gif showing how users can download filtered views of Dynamic Yield's industry benchmark tool

Users can create their own filter view and download the KPI graphs.

Access additional resources

After exploring and playing with different filters for each KPI, learn more about a given metric by clicking “More [KPI name] insights” link located at the top right of each section.

CTA button users can click to view in-depth insights of a KPI on Dynamic Yield's industry benchmark tool

Click the CTA text to view more info about any conversion metric.

Upon click, users are directed to a landing page for the chosen metric. This page is split into two sections: the left half featuring the graph previously seen on the benchmark homepage and the right half featuring metric stats and trends, as well as additional strategies, content, and reading relevant to the KPI. Stats and insights are dynamic, meaning as our data changes and expands to cover a wider range of time, so will the trends and insights noticed. Additionally, we will continue to build out these pages to include the most up-to-date information, strategies for marketers focused on improving their metrics, as well as tips to have a better conceptually grasp on all of the variables that impact the metric.

Shopping cart abandonment insights and trends page on Dynamic Yield's industry benchmark tool

Each conversion metric page is packed with additional content to help marketers better understand each KPI.

Start benchmarking your performance

Data can tell powerful stories and uncover insights and trends practitioners may not notice as they test and tweak eCommerce strategies on a regular basis. Setting aside time to look back on performance, identify what’s working and what isn’t, and stack up your KPIs against competitors and others in the industry gives you an opportunity to think big, institute and test changes, and find inspiration for strategies to employ going forward. So go ahead and give the tool a spin – you may be surprised by what you discover.