Dynamic Yield: What It Actually Does, What It Costs, and Who It Fits
A Mastercard-owned, enterprise-grade personalization and experimentation platform spanning web, app, and email, built for large ecommerce, retail, and B2B organizations that need AI-driven recommendations and testing across multiple channels, not just a single website.
Dynamic Yield is the right pick for a larger organization, especially in ecommerce or retail, that wants a single platform for AI-driven product recommendations, experimentation, and personalization across web, app, and email, and has the traffic volume and technical resources to justify an enterprise contract. It's a sales-led, custom-quote platform with no free tier, so it's a harder fit for a small team, a single-channel use case, or a B2B marketing team that just wants to personalize a website without the broader scope.
What Dynamic Yield Is For
Dynamic Yield is an AI-driven personalization and experimentation platform used by large brands, including McDonald's, IKEA, and Sephora, to deliver individualized product recommendations, content, offers, and test variants across web, mobile app, email, and in some cases kiosk and in-store channels. It combines classic A/B and multivariate testing with real-time behavioral targeting and recommendation algorithms, aiming to cover both the "which variant converts better" question and the "what should this specific visitor see right now" question in one platform. Mastercard acquired Dynamic Yield in 2022 for roughly $300 million, and as of 2026 the product continues to operate under the Mastercard brand as "Mastercard Dynamic Yield," recognized as a Leader in Gartner's Magic Quadrant for Personalization Engines for an eighth consecutive year, and is still sold as a standalone enterprise personalization platform to brands outside the Mastercard payments ecosystem.
It's built for mid-market and enterprise organizations, especially ecommerce and retail, that need personalization to work across more than one channel and are prepared to invest real technical and analytics resources into configuring targeting rules, recommendation logic, and experiment design. Like other enterprise experimentation and personalization vendors, it sells entirely through a direct, quote-based sales process with no self-serve signup or published pricing.
Key Features
- AI-driven product and content recommendations powered by proprietary prediction models
- Cross-channel personalization spanning web, mobile app, email, and select offline touchpoints
- A/B and multivariate testing combined with real-time behavioral and segment-based targeting
- Visitor segmentation using behavioral, transactional, and contextual data
- Journey mapping tools for orchestrating personalized experiences across multiple touchpoints
- Deep integrations across ecommerce, CDP, and analytics platforms, reinforced by Mastercard data and security infrastructure
Pros & Cons
Pros
- ✔ Broader channel coverage than a single-website personalization tool: web, app, and email in one platform
- ✔ Strong track record with large ecommerce and retail brands, with sustained recognition as a Gartner Magic Quadrant Leader
- ✔ Combines experimentation and AI-driven recommendations in one platform rather than requiring two separate tools
Cons
- ✕ No published pricing anywhere; every deal requires a custom quote through a direct sales process
- ✕ No free tier and no self-serve signup, so there is no way to trial it without engaging sales
- ✕ Meaningful technical and analytics investment is typically needed to configure targeting and recommendation logic well, unlike simpler no-code personalization tools
Pricing
| Plan tier | What it targets | Approximate cost |
|---|---|---|
| Entry / single-channel | Web-only personalization and testing for a single site | Custom quote; third-party buyer data commonly reports entry pricing starting around $35,000/year |
| Growth / multi-channel | Personalization and recommendations extended across web, app, and email | Custom quote; scales with monthly active users or session volume across added channels |
| Enterprise | Full Experience OS deployment with advanced AI recommendation models, journey orchestration, and dedicated support | Custom quote; large retail and ecommerce contracts commonly run well into six figures annually depending on traffic and scope |
Dynamic Yield does not publish official pricing. The figures above are third-party buyer-reported estimates and marketplace research as of 2026, not vendor quotes, and actual cost depends heavily on monthly active users or sessions, channel scope, and negotiated contract terms.
Pricing checked as of mid-to-late 2026 and hedged as approximate - Dynamic Yield prices entirely through custom, quote-only enterprise contracts under Mastercard ownership, so treat the figures above as general market signal and confirm real numbers through its sales process before budgeting.
Common questions
Optimizely and VWO are primarily experimentation platforms built around running and measuring A/B and multivariate tests. Dynamic Yield includes experimentation but is built more broadly around AI-driven personalization and product recommendations delivered in real time across web, app, and email, not just testing which page variant wins. Organizations that need deep, always-on personalization across multiple channels, not just structured tests, tend to reach for Dynamic Yield.
Yes, as of 2026. Mastercard acquired Dynamic Yield in 2022, and the product now operates under the Mastercard brand as Mastercard Dynamic Yield. It continues to be sold as a standalone enterprise personalization and experimentation platform to brands outside the Mastercard payments business, and it has continued to be recognized as a Leader in Gartner's Magic Quadrant for Personalization Engines under Mastercard ownership.
No. Dynamic Yield has no self-serve signup, free tier, or public trial. Evaluating the platform means going through a demo and sales process, similar to other enterprise experimentation and personalization vendors.
Mutiny is narrowly focused on B2B website personalization for marketing teams without engineering resources, built around firmographic and account-based targeting. Dynamic Yield is a broader, more technical platform spanning web, app, and email, with deeper AI recommendation capabilities, and is generally a stronger fit for large ecommerce and retail organizations than for a B2B team that only needs to personalize its website.
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