List of Mastercard Dynamic Yield Customers
Mastercard
2000 Purchase Street,
Purchase, 10577, NY,
United States
Purchase, 10577, NY,
United States
1 914-249-2000
Professional Services
33400
$25.1B
Since 2010, our global team of researchers has been studying Mastercard Dynamic Yield customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Mastercard Dynamic Yield for Personalization and Product Recommendations from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Mastercard Dynamic Yield for Personalization and Product Recommendations include: McDonalds, a United States based Leisure and Hospitality organisation with 150000 employees and revenues of $25.92 billion, The Warehouse Group, a New Zealand based Retail organisation with 10835 employees and revenues of $1.99 billion, Ocado Group, a United Kingdom based Professional Services organisation with 20261 employees and revenues of $1.64 billion, Skims Body, a United States based Retail organisation with 350 employees and revenues of $40.0 million and many others.
Contact us if you need a completed and verified list of companies using Mastercard Dynamic Yield, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Mastercard Dynamic Yield customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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McDonalds | Leisure and Hospitality | 150000 | $25.9B | United States | Mastercard | Mastercard Dynamic Yield | Personalization and Product Recommendations | 2019 | n/a | In 2019, McDonalds implemented Mastercard Dynamic Yield to personalize menu displays and in store ordering across its United States restaurants. Mastercard Dynamic Yield was used to personalize menu displays, drive thru recommendations and kiosk and ordering experiences to align offers with time of day, weather and local trends, focused on restaurant operations and CRM. The deployment emphasized real time decisioning and content targeting capabilities of Mastercard Dynamic Yield, leveraging rule based campaign management, audience segmentation and product recommendation logic to adjust on screen offers. Configuration work centered on menu item prioritization, contextual triggers and scheduled content to reflect time of day and weather signals. The application supported dynamic creative and recommendation permutations consistent with Personalization and Product Recommendations functionality. Integrations connected Mastercard Dynamic Yield to in restaurant ordering channels including kiosks, digital menu boards and drive thru displays, and to CRM and restaurant operations systems to surface local trend signals and customer context. The implementation targeted United States restaurant operations and point of interaction surfaces rather than enterprise back office systems. Real time flow of contextual signals to on screen experiences was a core architectural focus. The rollout was rapid, initially provisioning Mastercard Dynamic Yield at approximately 1,000 locations with phased expansion across the estate. Governance emphasized operational ownership within restaurant operations teams, standardized content templates and centralized campaign rule sets to manage consistency across sites. The initiative aimed to improve customer experience and order relevance by aligning offers to context at the point of sale. Mastercard Dynamic Yield was embedded as the personalization layer for McDonalds in store ordering channels within the Personalization and Product Recommendations category. | |
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Ocado Group | Professional Services | 20261 | $1.6B | United Kingdom | Mastercard | Mastercard Dynamic Yield | Personalization and Product Recommendations | 2024 | Conversio | In 2024, Ocado Group implemented Mastercard Dynamic Yield to drive personalization across its customer-facing ecommerce experiences, targeting first-time shoppers, returning shoppers approaching a fifth purchase, and Smart Pass subscription candidates. The deployment emphasized the Personalization and Product Recommendations category, using Mastercard Dynamic Yield as the primary decisioning and experimentation layer to tailor messaging, product recommendations, and promotional placements across the shopping funnel. The implementation configured core capabilities of Mastercard Dynamic Yield including audience segmentation, A/B and multivariate experimentation, real-time product recommendations, promotional banner orchestration, and in-cart personalized messaging. Ocado and implementation partner Conversio built modular experiences such as an ungated product listing for new visitors, a cleaner checkout flow variant for first-time customers, a multi-buy recommendation row to surface bulk savings, a gamified progress tracker to drive fifth-time purchases, and targeted Smart Pass subscription overlays, all managed through Dynamic Yield’s experience composer and audience rules. Integrations were executed to synchronize Experience Optimization outputs with Ocado’s commerce and content systems, enabling decisioning to appear in the product listing pages, cart, checkout flow, and homepage banner areas. The engagement covered sitewide web channels for the UK ecommerce footprint and aligned Marketing, Product, Development, and Digital teams to operationalize personalized experiences, while Conversio provided implementation, strategy, and ongoing experimentation management. Governance and rollout followed an 18 month phased experimentation program driven by hypothesis testing and continuous iteration, with prioritized use cases for the first order, intermediate repeat visits, and subscription conversion. Outcomes reported from these specific experiments include a 55 percent uplift in add to cart rate when multi-buy recommendations were surfaced in a dedicated row, a 6.7 percent uplift in conversion rate attributed to multi-buy recommendations at checkout, a 13.5 percent increase in Smart Pass subscription sign ups from targeted subscription messaging, and a 5.7 percent uplift in add to cart rate for the ungated first-time shopper experience, all delivered through Mastercard Dynamic Yield and managed in partnership with Conversio. | |
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Skims Body | Retail | 350 | $40M | United States | Mastercard | Mastercard Dynamic Yield | Personalization and Product Recommendations | 2022 | n/a | In 2022, Skims Body implemented Mastercard Dynamic Yield to run a fast personalization program focused on product recommendations and audience segmentation. The deployment targeted eCommerce merchandising and homepage personalization in the United States, aligning Mastercard Dynamic Yield to Skims Body business functions for on-site personalization and merchandising optimization under the Personalization and Product Recommendations category. The implementation used Dynamic Yield recommendation capabilities alongside audience segmentation to serve tailored product recommendations and segment-targeted merchandising on the homepage and category surfaces. Skims Body leveraged the recommendations module and segmentation workflows to operationalize algorithmic recommendation delivery and segment-based content variation, integrating these capabilities into existing front-end merchandising and personalization flows. The customer award write up credits Dynamic Yield recommendation and segmentation capabilities, and the implementation is reported to have recommendation-driven revenue contributions of roughly 10–12 percent of direct monthly revenue. This outcome underscores the central role of Mastercard Dynamic Yield in Skims Body eCommerce merchandising and homepage personalization under the Personalization and Product Recommendations application category. | |
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Retail | 10835 | $2.0B | New Zealand | Mastercard | Mastercard Dynamic Yield | Personalization and Product Recommendations | 2021 | n/a |
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Buyer Intent: Companies Evaluating Mastercard Dynamic Yield
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FAQ - APPS RUN THE WORLD Mastercard Dynamic Yield Coverage
Mastercard Dynamic Yield is a Personalization and Product Recommendations solution from Mastercard.
Companies worldwide use Mastercard Dynamic Yield, from small firms to large enterprises across 21+ industries.
Organizations such as McDonalds, The Warehouse Group, Ocado Group and Skims Body are recorded users of
Mastercard Dynamic Yield for Personalization and Product Recommendations.
Companies using Mastercard Dynamic Yield are most concentrated in Leisure and Hospitality, Retail and Professional Services, with adoption spanning over 21 industries.
Companies using Mastercard Dynamic Yield are most concentrated in United States, New Zealand and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Mastercard Dynamic Yield across Americas, EMEA, and APAC.
Companies using Mastercard Dynamic Yield range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 25%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 75%.
Customers of Mastercard Dynamic Yield include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Mastercard Dynamic Yield customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Personalization and Product Recommendations.