Mastercard is a global technology company in the payments industry, enabling secure transaction processing across more than 200 countries and territories. Beyond its core network, Mastercard delivers a range of value-added services—including data analytics, cybersecurity, consulting, and personalization—to help businesses grow and enhance customer engagement. A key part of this strategy is Dynamic Yield, a Mastercard product, which focuses on personalization and optimization of digital experiences. Its Experience OS integrates with existing CMS and commerce platforms to tailor content, products, and offers to individual users in real time. By leveraging AI, Agents, data-driven decisioning and experimentation, Dynamic Yield helps organizations increase engagement, drive revenue, and build stronger customer loyalty.
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Solid testing platform with full suite of features, good recommendation algorithms and data analytics. Overall it certainly seems like a best in class solution for onsite testing and personalization.
Experience OS does have many strengths, especially the depth of how far we can create targeting (with goals, evaluators, SKUs, and more) - creating events which indicate how far the guests are transitioning within the booking funnel has been seriously impressive. Furthermore, if a campaign was successful and was set up in a very intricate way by our developers, we can just replicate the Experience and tweak it rather than starting from scratch - this saves a lot of time. Third, and this is something we're experimenting with very recently, is multi touchpoints - that is, creating relevant experiences (like an interaction with a popup on Page X leads to another experience being shown on page Y) across multiple pages to enrich the user journey.
Robustness of the tool Ability to integrate with our platforms Ease of use for setting up campaigns
Onboarding development support service was a bit lacking in their capabilities. Platform is not compatible with the new Shopify Checkout. Pricing is not cheap, and the billing is confusing.
As mentioned, since campaign results don't always correspond with our other sources like GA360, we end up trying to diagnose and audit reporting issues more than actually working on optimisations, which is what counts more. It feels like the tool is excellent for ecommerce platforms like Shopify, but a little more complicated for larger resorts where websites have both ecommerce and promotional elements.
Still opportunity to make the platform easier to use for marketers or business users who don't have a technical background. Also, the support portal can sometimes be slow to respond to an opened ticket.