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 editorialIllustrative scenarios written by ecommerceguide from the product's documented capabilities. They are not customer case studies.
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
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
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 editorialBest 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 editorialGorgiasConversational AI platform for ecommerce, automating support and driving sales.Why togetherGorgias handles email, chat and SMS tickets with Shopify order data while Dynamic Yield personalises the storefront experience.
eDesk ‑ AI, Helpdesk & ChatAI-powered customer service designed for eCommerce.Why togethereDesk centralises store and marketplace messages in one inbox alongside Dynamic Yield's on-site personalisation and search.
Categories and use cases
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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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