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Mastercard's enterprise AI personalization and experimentation platform, Experience OS

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About Dynamic Yield

Dynamic Yield, now operating as Mastercard Dynamic Yield, is an enterprise personalization and experimentation platform that helps brands deliver individualized product recommendations, content, offers, and experiences across web, mobile app, email, and offline channels. Its core product, Experience OS, is built as a single, modular operating system rather than a set of disconnected tools: data collection, audience segmentation, algorithmic decisioning, and content rendering all work within one shared flow, so learnings from A/B testing feed directly into personalization campaigns.

The platform is organized around six primary use cases: Segmentation (building and analyzing audiences), Targeting (serving unique offers per customer), Recommendations (algorithmically predicting customer interests), Journey Orchestration (reaching customers at key moments), Optimization (A/B testing and experimentation), and Search. Newer AI-native additions include Experience OS Agents, specialist AI agents that assist marketing teams with personalization workflows, and Shopping Muse, a conversational commerce feature that lets shoppers describe what they're looking for in natural language and receive tailored recommendations in return. On the experimentation side, Dynamic Yield supports Bayesian and multi-armed bandit statistical engines, Predictive Targeting, feature flag-based experimentation, and both server-side and client-side testing, including support for single-page applications.

Originally an independent Israeli startup, Dynamic Yield was acquired by McDonald's in 2019 to personalize its digital ordering and drive-thru experiences, then acquired by Mastercard from McDonald's in 2022 and folded into its Data & Services division. Today it serves 400+ brands across retail, financial services, travel, restaurants, media, and B2B ecommerce, including Sephora, Lacoste, Electrolux, Tottenham Hotspur, Synchrony, Sky, and Ocado, processing tens of millions of transactions daily. It has been named a Leader in the Gartner Magic Quadrant for Personalization Engines for eight consecutive recognition periods (2019-2025) and won G2's Enterprise A/B Testing Tool of the Year in 2024.

Key Features

  • Experience OS: unified personalization platform spanning web, mobile app, email, and offline channels
  • Experience OS Agents: AI specialists that help marketers optimize personalization workflows and experiences
  • Shopping Muse: conversational commerce AI that pairs natural-language chat with personalized product recommendations
  • Predictive Targeting using machine learning to surface revenue optimization opportunities automatically
  • Bayesian and multi-armed bandit statistical engines for agile A/B testing and traffic allocation
  • Point-and-click WYSIWYG editor for building experiments without design or development help
  • Affinity Allocation that routes traffic in real time based on evolving user preferences
  • Server-side and client-side testing support, including single-page application compatibility

Pros

  • Named a Gartner Magic Quadrant Leader for Personalization Engines for eight consecutive recognition periods (2019-2025)
  • Unified Experience OS architecture connects testing, personalization, and recommendations in one workflow instead of siloed tools
  • Backed by Mastercard's infrastructure, security certifications (SOC II, ISO 27701/27017/27018), and enterprise-grade compliance (GDPR, CCPA)
  • Shopping Muse and Experience OS Agents bring genuine AI-native conversational commerce and workflow automation to the platform
  • Proven at massive scale: 400+ brands, tens of millions of daily transactions, and well-documented case studies (G Adventures +50% conversion, Ocado +55% add-to-cart)
  • Open, agnostic architecture integrates with existing DMPs, web analytics, and tag managers rather than forcing a full stack replacement

Cons

  • No public pricing — entry cost is reported around $35k+/year, positioning it firmly as an enterprise-only tool out of reach for small and mid-sized merchants
  • Requires a demo and sales conversation to get any pricing information, slowing down evaluation for buyers who want quick comparisons
  • Ownership under Mastercard (following the McDonald's-to-Mastercard acquisition history) may raise questions for some brands about long-term product roadmap independence
  • Feature breadth (segmentation, targeting, recommendations, journey orchestration, optimization, search, AI agents) means a genuine learning curve and likely need for a dedicated CRO or personalization team
  • Best suited to organizations with existing experimentation and personalization maturity; smaller teams may find the full platform more than they need

Pricing

Dynamic Yield does not publish public pricing. It operates on a custom, quote-based enterprise pricing model, with third-party industry estimates placing entry-level annual contracts around $35,000+ per year, scaling based on traffic volume, number of channels (web, app, email, offline), and which platform modules (Segmentation, Targeting, Recommendations, Journey Orchestration, Optimization, Search, AI Agents) are included. Prospective customers must book a demo directly with the Mastercard Dynamic Yield sales team to receive a specific quote.

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Frequently Asked Questions

Dynamic Yield does not publish fixed public pricing. It is an enterprise platform with custom, quote-based pricing typically starting around $35,000+ per year, requiring a demo request to get a specific quote based on traffic, channels, and modules needed.

Dynamic Yield was originally an independent company, acquired by McDonald's in 2019 to power personalized drive-thru and app ordering experiences. In 2022, Mastercard acquired Dynamic Yield from McDonald's and now operates it within its Data & Services organization as part of its consumer engagement and loyalty suite.

Experience OS is Dynamic Yield's unified personalization platform, an open framework that lets brands run personalization across web, mobile app, email, and offline channels using shared real-time data, algorithms, and a single AI core, rather than managing separate tools for each channel.

Shopping Muse is Dynamic Yield's conversational commerce feature that combines AI chat with personalization, letting shoppers describe what they want in natural language and receive tailored product recommendations pulled from the personalization engine.

Dynamic Yield has been named a Leader in the Gartner Magic Quadrant for Personalization Engines for eight consecutive years (2019-2025 recognition periods), and also won G2's Enterprise A/B Testing Tool of the Year in 2024.

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