For digital marketers running online storefronts, Dynamic Yield is a personalization platform, owned by Mastercard, that optimizes and synchronizes digital experiences for retailers like Sephora and Saks Fifth Avenue.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Dynamic Yield positions itself as an Experience OS, a modular, customizable personalization platform for large retailers and enterprise brands that unifies content, offer, and product recommendations across web, app, email, and other channels. Now under Mastercard, it markets that operating-system layer to established multi-channel retailers rather than any single-tool niche. Its footprint in ongoing market conversation sits closer to modest and mid-pack than to absent or leading. What conversation exists tends toward ecosystem and partnership occasions, brand collaborations and sponsored events, rather than day-to-day practitioner discussion of the platform's mechanics.
HighLevel
Acquia
Wunderkind
Yotpo
SitecoreSephora, Saks Fifth Avenue, Hallmark Channel, On, APMEX, Lamoda, Bergzeit, Valamar
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Business Profile
Dynamic Yield started in 2011 in Tel Aviv as an independent personalization and experimentation company, raising roughly $83M over its early years. McDonald's acquired it in 2019 to power kiosk and drive-thru recommendations, then sold it to Mastercard in 2022. Mastercard folded the company into its consumer engagement and loyalty services, gaining a personalization and decisioning platform already proven at enterprise retail scale. Dynamic Yield continues operating under the Mastercard Dynamic Yield name, running its own product line and customer roster with 468 employees today.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Dynamic Yield publishes a documented Experience API (the Choose endpoint) and mobile SDKs for React Native, Swift, and Kotlin, giving external systems a way to call personalization decisions programmatically. That developer layer predates the current agent-tooling wave; no MCP server, agent SDK, or other agent-specific surface is documented publicly yet.
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