Dynamic Yield is an AI-powered personalization and experience optimization platform that enables brands to deliver individualized content, product recommendations, and offers across web, mobile, email, kiosks, and other digital touchpoints. Founded in 2011 by Liad Agmon and Omri Mendellevich and originally headquartered in Tel Aviv, Israel, Dynamic Yield was acquired by McDonald's Corporation in 2019 and subsequently sold to Mastercard in 2022, where it now operates as a key component of Mastercard's data-driven services portfolio. The platform uses machine learning algorithms and real-time decisioning to analyze user behavior, contextual signals, and business rules to automatically determine the most relevant experience for each individual visitor. Dynamic Yield's core capabilities include AI-powered product recommendations with multiple algorithmic strategies such as collaborative filtering, content-based filtering, and popularity-based models, all configurable through a visual interface. The platform offers server-side and client-side personalization that adapts website and app content, layouts, messaging, and promotions based on visitor segments, behaviors, and predicted affinities. Dynamic Yield provides a robust A/B and multivariate testing engine that enables experimentation across any element of the digital experience, with built-in statistical significance calculations and automated traffic allocation. The platform supports triggered email and push notification personalization, enabling brands to deliver timely, relevant messages based on user actions and predicted behavior. Dynamic Yield's AdaptML deep learning engine powers next-generation recommendation models that go beyond traditional collaborative filtering by incorporating sequential patterns, session context, and real-time signals. The platform serves major enterprise brands across retail, financial services, media, travel, and quick-service restaurant verticals. Dynamic Yield operates on custom enterprise pricing that varies based on traffic volume, number of channels, and features deployed, with implementations typically requiring dedicated onboarding and technical integration.
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