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Dynamic Yield

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.

dynamicyield.comNew York, New York, United StatesFounded 2011

Last updated May 11, 2026 by AI Enrichment

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
Market Position

A leading AI-driven personalization platform operating as a Mastercard subsidiary, serving enterprise brands across retail, financial services, and media

Overview

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.

Products & Features

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

Key Features
Real-time machine learning personalizationOmnichannel experience orchestrationAI-powered product recommendationsA/B and multivariate testingBehavioral audience segmentationCustomer data unificationDynamic content deliveryPredictive targeting algorithmsNo-code experience editorAPI-first architecture
Use Cases
E-commerce product recommendationsPersonalized homepage and landing page experiencesCart abandonment recoveryDynamic digital menu board personalization (QSR)Financial services offer personalizationEmail content personalizationMobile app experience optimizationA/B testing for conversion rate optimizationLoyalty program personalizationNew visitor vs. returning visitor experience differentiation
Customer Segments
Enterprise retailers and e-commerce brandsQuick-service restaurant (QSR) chainsFinancial services and banking institutionsMedia and publishing companiesTravel and hospitality brandsTelecommunications companies

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