Mastercard Reviews, Ratings & Features 2026 | Gartner Peer Insights

Personalization engines use knowledge about customers to create and deliver an optimum experience for them and measure the impact on customer experience. These engines apply AI, advanced analytics and business rules to create meaningful experiences across channels that facilitate customer engagement and drive revenue.
Personalization engines create a relevant, individualized interaction between two parties designed to enhance the recipient’s experience. A recipient can be a prospect, customer (known or anonymous) or employee (engaging with a customer or prospect). In commercial settings, the engines apply advanced analytics to interpret customer data — whether known or anonymous, behavioral or contextual — and adjust engagement based on where the customer is in their journey and how they’re interacting. The engines adapt content, offers and interactions in real time that facilitate the customer’s journey.

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Personalization Engines

Experience OS

Mastercard (Dynamic Yield)

VP of Technology

The platform is very robust with many features, and overall works well. Our Customer Success Manager  has been awesome - very knowledgeable and helpful, and provides many proactive ideas to grow our testing program.

50M - 250M USD

250M - 500M USD

<50M USD

500M - 1B USD

1B - 3B USD

3B - 10B USD

10B - 30B USD

30B + USD

Gov't/PS/ED <5,000 Employees

UX Manager

The tool is very robust, but can be challenging to leverage to its potential with a small team. Everything requires development to make the branding match the website so you must have these resources available. As a small team with limited resources this has been a challenge. 

Optimizely-do-not-use

Adobe

Optimizely

Kibo (Monetate)

Other...

Salesforce

Salesforce (Evergage)

Qubit

SAP (Emarsys)

Oracle

AB Tasty

RichRelevance

Sailthru

Reflektion

Monetate

Coveo

Bloomreach

Kibo

Gravity R&D

Acquia

Sitecore

Attraqt

Fresh Relevance

Crayon Data

Barilliance

Doxee

Tech Mahindra (Comviva)

Mastercard is a global technology company in the payments industry, enabling secure transaction processing across more than 200 countries and territories. Beyond its core network, Mastercard delivers a range of value-added services—including data analytics, cybersecurity, consulting, and personalization—to help businesses grow and enhance customer engagement.

A key part of this strategy is Dynamic Yield, a Mastercard product, which focuses on personalization and optimization of digital experiences. Its Experience OS integrates with existing CMS and commerce platforms to tailor content, products, and offers to individual users in real time. By leveraging AI, Agents, data-driven decisioning and experimentation, Dynamic Yield helps organizations increase engagement, drive revenue, and build stronger customer loyalty.

Dynamic Yield by Mastercard helps businesses deliver digital customer experiences that are personalized, optimized, and synchronized. 

Marketing, Product, Development, and eCommerce teams from more than 400 global companies are using Dynamic Yield‚Äôs Experience OS as the technology layer on top of existing CMS or Commerce solutions, to algorithmically match content, products, and offers to each individual customer to increase revenue, build customer loyalty, and gain a sustainable competitive advantage.

Mastercard's Dynamic Yield focuses on enhancing digital customer experiences for business entities. Its main objective is to personalize, optimize, and synchronize customer experiences digitally across industries. Dynamic Yield's Experience OS works in conjunction with existing content management systems (CMS) or commerce solutions. It uses an algorithmic approach to match content, products, and offers to each individual customer, aiming to improve business revenue, foster customer loyalty, and develop a sustainable competitive edge.

Reviews

Ratings Overview

Overall experience with

Favorable Review

Overall great solution for Testing and Personalization

Critical Review

Challenges Faced by Small Teams in Optimizing Powerful Tools

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