Dynamic Yield Recommendations
Vertical application
Overview
Dynamic Yield delivers content and product recommendations that create bespoke experiences at every step. Its algorithms, real-time filters, contextual data, CRM, loyalty, and in-store purchase data help tailor recommendations to customer preferences, affinities, and behavior. Recommendations can be customized, tested, optimized, and deployed across websites, mobile apps, email, SMS, and digital menu boards.
- Pricing model
- Enterprise / custom quote
- Deployment
- SaaS (vendor-hosted), API / SDK, Mobile application
- Regions served
- Global
- Categories
- Language (LLM / NLP), Vertical application, API / SDK, Predictive / classical ML, Personalization, Consumer goods, Mobile application, SaaS (vendor-hosted), Recommendation, Enterprise / custom quote
- Last updated
- 4 October 2026
- Published
- 4 October 2026
Use cases
Deployment options
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- mastercard.com
- Sources cited
- 1
- Last reviewed
- 28 September 2026
- Last updated
- 4 October 2026
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