Dynamic Yield
Dynamic Yield enables brands to deliver individualized, data-driven digital experiences across every customer touchpoint using AI-powered segmentation, recommendations, and real-time optimization — all from a single unified platform.
Last updated Jun 23, 2026 by ATDb automated enrichment · Connections updated Jul 10, 2026
At a glance
- Employees
- 201-500
- Funding
- ~$83M (pre-acquisition)
- Revenue
- $50M-$100M (estimated)
About
A leading AI-powered personalization platform operating as a Mastercard subsidiary, with strong penetration in retail, e-commerce, and QSR verticals
Dynamic Yield is an AI-driven personalization and experience optimization platform that empowers brands to tailor digital interactions across web, mobile apps, email, kiosks, and other touchpoints. Founded in Tel Aviv, the company offers a comprehensive suite of tools including audience segmentation, A/B testing, product recommendations, and real-time behavioral targeting — enabling marketers and product teams to deliver highly relevant experiences without heavy reliance on engineering resources. Its technology is widely adopted across retail, e-commerce, financial services, travel, and quick-service restaurant verticals. Dynamic Yield has had a notable acquisition history: McDonald's acquired the company in 2019 in a landmark deal that signaled how major consumer brands were investing directly in personalization technology. In December 2021, McDonald's divested Dynamic Yield to Mastercard, where it now operates as a subsidiary within Mastercard's broader data intelligence and digital commerce ecosystem. Under Mastercard's ownership, Dynamic Yield continues to operate as a distinct brand and platform, benefiting from Mastercard's global scale, data assets, and financial services relationships. In the AdTech and MarTech landscape, Dynamic Yield competes with platforms such as Optimizely, Adobe Target, Salesforce Personalization (formerly Evergage), and Insider. Its key differentiators include a unified personalization engine that spans multiple channels, a robust machine learning recommendation layer, and deep integrations with major e-commerce and marketing platforms. The platform is particularly well-regarded in the retail and QSR sectors for its ability to drive measurable conversion lift and customer engagement at scale.
Business model
SaaS
Target market
Enterprise
What they offer
Experience OS
Core operating system for personalization that unifies audience data, decisioning, and experience delivery across channels
Recommendations
AI-powered product and content recommendation engine that adapts to individual user behavior in real time
A/B Testing & Optimization
Multivariate and A/B testing tools enabling data-driven experimentation across digital properties
Audience Segmentation
Real-time behavioral and attribute-based audience segmentation for targeted experience delivery
Email Personalization
Dynamic content personalization for email campaigns based on user profiles and real-time context
Triggered Messaging
Behavioral trigger-based messaging across web, mobile, and email channels
Personalization for Kiosks & In-Store
Digital experience personalization extended to physical touchpoints such as QSR self-service kiosks
Key features
Use cases
Customer segments
Tech & specs
Technology stack
Security & compliance
Deployment
API
Yes
- 2011 · Founded
- Still operating as part of Mastercard