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Verified July 24, 2026AI Personalisation and Optimisation

Dynamic Yield AI

Dynamic Yield (Mastercard) / dynamicyield.com

AI personalisation platform for e-commerce and retail that dynamically customises product recommendations, content, pricing, and layouts for individual visitors based on behavioural and contextual data.

Pricing

Free

Free plan

No

Category

Marketing

Platforms

4

Free plan

No

API access

No

Open source

No

Platforms

4

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What is Dynamic Yield AI?

Dynamic Yield is an AI personalisation platform acquired by Mastercard in 2022 that enables e-commerce, retail, and financial services companies to personalise website and app experiences for individual visitors at scale. Originally acquired by McDonald's in 2019 for drive-through menu personalisation before the Mastercard transaction, Dynamic Yield has a broad enterprise customer base across verticals.

Product recommendations are the primary use case — AI analyses individual visitor browsing and purchase history, real-time session context, and similar visitor patterns to recommend the most relevant products on category pages, product pages, cart pages, and email. Dynamic personalisation of which recommendations to show and how to display them drives measurable AOV improvement.

A/B testing and multivariate testing capabilities allow marketers to experiment with layout, copy, promotions, and personalisation strategies in a unified experimentation framework rather than relying on separate testing tools.

Content personalisation extends beyond products to customise hero images, promotional banners, navigation elements, and page layouts for different audience segments — showing different promotions to price-sensitive customers than brand-loyal repeat buyers.

At Mastercard, Dynamic Yield has access to additional purchase intent data from Mastercard's network of transaction data, though data usage is subject to privacy frameworks. This access to transaction intelligence is a potential long-term differentiator for personalisation powered by purchase behaviour beyond the retailer's own first-party data.

e-commercepersonalisationairecommendationsretailtesting
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How Dynamic Yield AI works

Dynamic Yield AI runs as ml platform software built around data and text workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, ios, and android.

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Watch Dynamic Yield AI in action

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Key Features

What makes it worth shortlisting

The capabilities that matter most for teams evaluating Dynamic Yield AI.

01

AI product recommendations

Analyses individual visitor browsing, purchase history, and session context to recommend the most relevant products on every page of the e-commerce experience.

02

A/B and multivariate testing

Unified experimentation framework for testing personalisation strategies, layouts, promotions, and content without requiring separate testing tools.

03

Content personalisation

Dynamically customises banners, layouts, navigation, and promotional elements for different audience segments based on behavioural and contextual signals.

AI product recommendations (individual visitor)A/B and multivariate testing frameworkContent personalisation (banners, layouts)Audience segmentation and targetingReal-time personalisationExperience OS platformEmail personalisationSearch ranking personalisationPricing and promotion optimisationMastercard transaction data integration (privacy-compliant)

Best use cases

E-commerce product recommendation
Retail website personalisation
Content personalisation at scale
A/B testing and experimentation
Omnichannel personalisation

Who should use it

E-commerce directors
Digital merchandisers
Marketing operations
CRO (conversion rate optimisation) teams
Retail marketing VPs

Pros

  • Mastercard transaction data access is a significant long-term differentiation for purchase intent personalisation
  • Broad enterprise customer base across e-commerce, retail, and financial services
  • Unified A/B testing and personalisation platform reduces tool fragmentation
  • Proven at scale by McDonald's drive-through deployment — high throughput personalisation reference

Cons

  • Enterprise-only pricing with Mastercard acquisition adding commercial complexity
  • Mastercard transaction data integration is privacy-constrained — not freely available for individual retailer use
  • Competing with Salesforce Commerce Cloud and Adobe's personalisation capabilities within larger marketing suite relationships

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Pricing Analysis

Is it worth the price?

Enterprise only. Custom pricing based on traffic volume. Acquired by Mastercard. 14-day free trial.

Model

Enterprise

Starting price

Free

Free trial

Yes

Similar Tools

Tools like Dynamic Yield AI

Salesforce Commerce Cloud provides personalisation within the Salesforce ecosystem. Adobe Target provides A/B testing and personalisation within the Adobe suite. Nosto provides AI personalisation accessible for mid-market e-commerce. Constructor.io focuses on search-first personalisation.

Comparison

Dynamic Yield AI vs Nosto AI

A side-by-side look at the closest alternative in this category.

Dynamic Yield AI favicon

Dynamic Yield AI

Dynamic Yield (Mastercard)

Nosto AI favicon

Nosto AI

Nosto

Overview
Rating
—
—
Category
Marketing
Marketing
Subcategory
AI Personalisation and Optimisation
AI E-commerce Personalisation
Company
Dynamic Yield (Mastercard)
Nosto
Status
Active
Active
Launch year
2018
2019
Tags
e-commercepersonalisationairecommendationsretailtesting
e-commercepersonalisationairecommendationsshopifyretail
Pricing
Starting price
FreeBest value
Free
Pricing model
Enterprise
Subscription
Free plan
No
No
Free trial
✓
✓
Pricing notes

Enterprise only. Custom pricing based on traffic volume. Acquired by Mastercard. 14-day free trial.

No public pricing. Pricing based on revenue driven. Contact for pricing. 14-day free trial.

Capabilities
Best for
E-commerce product recommendationRetail website personalisationContent personalisation at scaleA/B testing and experimentationOmnichannel personalisation
Mid-market e-commerce personalisationProduct recommendations at scaleE-commerce search personalisationSegmented content and promotionsRetail conversion optimisation
Target audience
E-commerce directorsDigital merchandisersMarketing operationsCRO (conversion rate optimisation) teamsRetail marketing VPs
E-commerce directorsDigital marketing teamsE-commerce managersShopify Plus merchantsGrowing online retailers
AI type
ML Platform
ML Platform
Modalities
DataText
Data
Technical
Model provider
Dynamic Yield (Mastercard)
Nosto
Model names
—
—
API available
✕
✕
Open source
✕
✕
Deployment
EnterpriseSaaS
SaaS
Platforms
WebiOSAndroidEmail
WebEmail
Integrations
SalesforceAdobeSAPShopifyAPI
Shopify PlusMagentoBigCommerceKlaviyoEmarsysAPI
Team collaboration
✓
✕
Trust & security
Security

SOC 2 Type II. ISO 27001. GDPR compliant. PCI DSS compliant. Mastercard security standards. Enterprise data handling agreements.

Review Nosto's data handling policy. Shopper behaviour data and personalisation decisions processed on Nosto's infrastructure. GDPR compliant.

Privacy notes

Review Dynamic Yield's data handling policy. Visitor behavioural data and personalisation decisions processed on Dynamic Yield's infrastructure under enterprise agreements.

Review Nosto's privacy policy and GDPR compliance documentation. Shopper behaviour data collected for personalisation purposes — review cookie consent and privacy notice requirements.

Verdict
Pros
  • Mastercard transaction data access is a significant long-term differentiation for purchase intent personalisation
  • Broad enterprise customer base across e-commerce, retail, and financial services
  • Unified A/B testing and personalisation platform reduces tool fragmentation
  • Proven at scale by McDonald's drive-through deployment — high throughput personalisation reference
  • Performance-based pricing aligns cost with demonstrated revenue impact
  • Faster implementation than enterprise alternatives with pre-built platform integrations
  • Personalised search and content alongside product recommendations provides comprehensive site personalisation
  • Mid-market pricing positioning makes enterprise-level personalisation accessible
Cons
  • Enterprise-only pricing with Mastercard acquisition adding commercial complexity
  • Mastercard transaction data integration is privacy-constrained — not freely available for individual retailer use
  • Competing with Salesforce Commerce Cloud and Adobe's personalisation capabilities within larger marketing suite relationships
  • Performance pricing requires Nosto attribution of revenue which may involve attribution methodology discussions
  • Less comprehensive than Dynamic Yield for large enterprise multi-channel personalisation
  • Pricing transparency requires direct sales engagement
Details

Technical & deployment info

Key facts about model providers, platforms, and team support.

Model Provider

Dynamic Yield (Mastercard)

Platforms

Web, iOS, Android, Email

Deployment

Enterprise, SaaS

Integrations

Salesforce, Adobe, SAP, Shopify, API

Team Collaboration

Yes

Launch Year

2018

Trust

Security & privacy

Compliance signals and data-handling notes as reported by the vendor.

SOC 2 Type II. ISO 27001. GDPR compliant. PCI DSS compliant. Mastercard security standards. Enterprise data handling agreements.

Review Dynamic Yield's data handling policy. Visitor behavioural data and personalisation decisions processed on Dynamic Yield's infrastructure under enterprise agreements.

Reviews

What users are saying

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FAQ

Common questions about Dynamic Yield AI

14-day free trial. Enterprise pricing — contact Mastercard/Dynamic Yield for pricing.

Editorial Verdict

Should you use Dynamic Yield AI?

Dynamic Yield is a strong AI personalisation platform for large e-commerce and retail enterprises who want comprehensive product recommendation and content personalisation in a unified testing and optimisation framework.

Last verified July 24, 2026.

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