Dynamic Yield

Dynamic Yield by Mastercard is an enterprise personalization and experience optimization platform. Its Experience OS combines audience management, AI-driven targeting, product and content recommendations, experimentation, and journey orchestration to personalize digital experiences across websites, mobile apps, email, SMS, and other connected touchpoints.

1. Personalization workflow: Audience Hub captures and unifies person-level data from multiple sources, while real-time behavior, affinity profiles, contextual signals, and propensity models help determine which content, products, offers, or experiences to serve. Audiences and affinity data can also be shared with other parts of a company’s marketing technology stack.
2. Product discovery: Dynamic Yield provides machine-learning and deep-learning recommendation strategies that can incorporate real-time behavior, CRM, loyalty, purchase, and contextual data. Merchandisers can use include, exclude, pinning, and other filtering rules to control which products appear while retaining algorithmic ranking and personalization.
3. Testing and optimization: teams can A/B test personalization strategies, audiences, recommendation algorithms, and multi-touch journeys, then measure performance against conversion, revenue, and other business KPIs. Experiences can run through Dynamic Yield’s client-side implementation, server-side Experience APIs, or a hybrid of both.
4. Implementation checks: buyers should assess product and content feeds, identity strategy, CRM/CDP data, analytics connections, web and mobile implementation, API or SDK requirements, experimentation governance, and the number of channels that need synchronized personalization.

Dynamic Yield is particularly relevant to organizations that want personalization, recommendations, audience decisioning, and experimentation managed through one system while retaining flexibility over how experiences are delivered across their existing technology stack.