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Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

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List of Mastercard Dynamic Yield Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
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.
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.
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.
Retail 10835 $2.0B New Zealand Mastercard Mastercard Dynamic Yield Personalization and Product Recommendations 2021 n/a
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