Dynamic Yield
Dynamic Yield empowers brands to deliver individualized digital experiences at scale using machine learning, enabling higher conversion rates and deeper customer engagement across every channel.
Last updated May 11, 2026 by ATDb automated enrichment · Connections updated May 14, 2026
- Industry
- Personalization & Experience Optimization
- Business Model
- SaaS
- Target Market
- Enterprise
- Employee Count
- 201-500
- Funding
- ~$83M (pre-acquisition)
- Revenue Range
- $50M-$100M (estimated)
- Parent Company
- Mastercard
- API Available
- Yes
A leading AI-driven personalization platform operating as a Mastercard subsidiary, serving enterprise brands across retail, financial services, and media
Dynamic Yield is a leading experience optimization and personalization platform that enables brands to tailor digital experiences to individual users at scale. Founded in 2011 and headquartered in New York, the company offers a comprehensive suite of tools including A/B testing, behavioral targeting, product recommendations, and real-time audience segmentation. Its platform is used by major retailers, financial services firms, restaurants, and media companies to increase engagement, conversion rates, and customer lifetime value across web, mobile app, email, and kiosk channels. In 2019, McDonald's acquired Dynamic Yield for approximately $300 million — one of the largest acquisitions in AdTech history at the time — to power personalized digital menu boards and drive-thru experiences. McDonald's later sold Dynamic Yield to Mastercard in 2022, where it now operates as a distinct subsidiary within Mastercard's data and services division. Under Mastercard, Dynamic Yield has expanded its focus to serve financial services clients alongside its existing retail and e-commerce customer base. Dynamic Yield occupies a strong position in the personalization and customer experience (CX) optimization market, competing with platforms like Optimizely, Adobe Target, and Salesforce Interaction Studio. Its machine learning-driven recommendation engine and omnichannel personalization capabilities are considered key differentiators, enabling clients to unify customer data and deliver consistent, contextually relevant experiences across all digital and physical touchpoints.
Personalization Engine
AI-driven real-time personalization across web, mobile, email, and kiosk channels based on user behavior and attributes
Product Recommendations
Machine learning-powered product and content recommendation widgets optimized for e-commerce and media
A/B & Multivariate Testing
Experimentation tools enabling brands to test and optimize content, layouts, and user flows
Audience Segmentation
Real-time behavioral and demographic segmentation for targeted experience delivery
Experience OS
Unified platform for managing and orchestrating personalized experiences across all digital touchpoints
Email Personalization
Dynamic content blocks and product recommendations embedded in email campaigns
Triggered Messaging
Behavioral trigger-based messaging across web and mobile channels