Dynamic Yield
Dynamic Yield (by Mastercard) is an enterprise-grade personalization and experience optimization platform that uses AI to tailor content, product recommendations, and offers across web, email, apps, and ads.
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⚡ At a glance
Best for: Mid-to-large enterprises in eCommerce, retail, media, and financial services seeking robust AI-driven personalization and experimentation at scale
✓ Consistently recognized as an industry leader by Gartner and Forrester, signaling proven enterprise reliability
✗ No public pricing — enterprise-only custom quotes make cost evaluation opaque and budgeting difficult for smaller teams
An honest editorial snapshot from this tool's profile — not a paid placement.
Dynamic Yield's Experience OS enables brands to segment audiences, run A/B and multivariate tests, deliver algorithmic product recommendations, and orchestrate personalized customer journeys across every digital channel. Recognized as a Gartner Magic Quadrant Leader eight consecutive times and a Forrester Leader among top experience optimization vendors, it serves large-scale retailers, financial services, media, and restaurant brands. Acquired by Mastercard, the platform emphasizes enterprise security, GDPR compliance, and deep integrations through an extensive partner network.
Best for: Mid-to-large enterprises in eCommerce, retail, media, and financial services seeking robust AI-driven personalization and experimentation at scale
Key Features
- AI-powered product recommendations
- A/B and multivariate testing (experimentation)
- Audience segmentation and targeting
- Journey orchestration across channels
- Personalized email with no-code builder
- Conversational commerce via Shopping Muse
- Experience APIs for developer customization
- Site search optimization
- Mobile app experience optimization
- Enterprise-grade security and GDPR compliance
How to use Dynamic Yield
Pros
- Consistently recognized as an industry leader by Gartner and Forrester, signaling proven enterprise reliability
- Broad channel coverage — web, email, apps, and ads — in a single unified platform
- Strong customer success support with dedicated engineers, templates, and a personalization knowledge base
- Demonstrated ROI in customer case studies (e.g., 25% of revenue from recommendations at home24, +15% ARPU at LUISAVIAROMA)
Cons
- No public pricing — enterprise-only custom quotes make cost evaluation opaque and budgeting difficult for smaller teams
- Significant implementation and onboarding complexity; not suitable for small businesses or teams without technical resources
- Learning curve is steep: the breadth of features (segmentation, testing, recommendations, orchestration) requires substantial training and ongoing expertise to use effectively
- As a Mastercard-owned enterprise tool, it is effectively out of reach for SMBs and mid-market companies on tight budgets
- Some users report that the UI and workflow for managing large numbers of campaigns can feel cumbersome
Pricing Details
| Pricing type | Paid |
| Starting at | Custom (enterprise pricing, no public tiers) |
Dynamic Yield Pricing
Dynamic Yield pricing — 1 plans: Enterprise (Experience OS) (Custom pricing (request a demo/quote - no public self-serve pricing)). Compare monthly and yearly costs below.
Enterprise (Experience OS)
Custom pricing (request a demo/quote - no public self-serve pricing)
Custom pricing (request a demo/quote - no public self-serve pricing)
- ✓ Segmentation: identify, build and analyze audiences
- ✓ Targeting: serve each customer unique offers
- ✓ Recommendations: algorithmically predict customer interests
- ✓ Journey Orchestration: reach customers at critical moments
- ✓ Optimization: run experiments on any digital property
- ✓ Search: help customers find what they want
- ✓ Element: hyper-personalization at scale
- ✓ AI and Automation for increased automation and lower operational costs
- ✓ Experience APIs for developers
- ✓ Enterprise-grade security, privacy and compliance
- ✓ Shopping Muse conversational commerce personalization
See Current Pricing →
Pricing may change — always verify on the official site.
- eCommerce retailers personalizing product recommendations and homepage content to drive conversion and ARPU
- Media companies optimizing content delivery and audience targeting across web and app properties
- Financial services and travel brands running A/B tests and personalized offer targeting at enterprise scale
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About Trust Score
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