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AI app

Dynamic Yield

Enterprise personalisation platform that delivers product recommendations, audience targeting, on-site search and A/B testing across web, app and other channels.

Listing data refreshed Built from public product pages and documentation. SourcesClaim this listing

ecommerceguide summary

Mastercard Dynamic Yield is a personalisation platform, marketed as Experience OS, for retail and other digital properties. It covers segmentation, targeting, algorithmic product recommendations, journey orchestration, on-site search and experimentation across web and app. AI predicts customer interests and generates recommendations and next-best actions. Additional products include Shopping Muse for conversational commerce and Experience APIs for custom builds. Pricing is not published: the site offers contact sales and request info only. Quoted customers include ASDA, Linen Chest and Wild Fork.

Why it stands out

Owned and sold by Mastercard, with dynamicyield.com redirecting to the Mastercard product page.

What Dynamic Yield does

ecommerceguide editorial
  • Segmentation, targeting, recommendations, search and experimentation in one platform
  • AI predicts customer interests and drives next-best actions
  • Shopping Muse product adds conversational commerce to personalisation
  • Experience APIs for teams building custom digital experiences
  • Mastercard states 80m+ personalised sessions delivered daily
  • Enterprise pricing: contact sales, no published prices or trial

How ecommerce teams could use it

ecommerceguide editorial

Illustrative scenarios written by ecommerceguide from the product's documented capabilities. They are not customer case studies.

  1. Grocery retailer running a transactional website and mobile app

    Showing different product recommendations to signed-in members and first-time visitors

    Intended outcomeAudience segments and targeting rules decide which recommendation strategies run on each surface

  2. Fashion retailer with a large catalogue and an on-site search box

    Shoppers struggle to find relevant items from broad category pages

    Intended outcomeSearch and recommendation use cases surface items the AI predicts each visitor is interested in

  3. Multi-brand retail team testing changes to homepage and product pages

    Validating layout and offer variations before rolling them out

    Intended outcomeThe optimisation use case runs experiments on digital properties alongside the personalisation rules

Who it suits

ecommerceguide editorial

Best for

You run high-traffic web and app properties and want segmentation, recommendations, search and experimentation from one vendor under an enterprise contract.

Probably not for

You need published self-serve pricing, a free trial or a documented Shopify app install, as Dynamic Yield lists neither prices nor platform integrations.

Business size
EnterprisePricing is enterprise only, with contact sales and request info in place of published plans.
Verticals
Food and beverage, DTC apparel and fashion, Omnichannel retail, Marketplaces

Often used alongside

ecommerceguide editorial

Categories and use cases

Sources

ecommerceguide profiles are built from public product information and written for ecommerce teams. We do not test products, and paying never changes where a listing ranks.

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