Evergage, the real-time personalization and customer data platform (CDP), has released two updates to its platform. Evergage Decisions use machines learning to deliver the most relevant content or experience automatically. The first of these algorithms, Contextual Bandit, delivers the most relevant offer or experience with the highest potential value to the company. The second update, Data Science Workbench, allows users of the Evergage Gears framework to access customer information that had previously been unavailable to deliver 1-1 experiences.
From the release: “Evergage’s platform and full suite of personalization capabilities – now including Evergage Decisions – represent the future of personalization at the individual level,” said Karl Wirth, Evergage CEO and co-founder, and author of the award-winning book “One-to-One Personalization in the Age of Machine Learning.” “Contextual Bandit is a win-win – blending what’s most helpful to the customer with what’s best for the business. These advanced capabilities go beyond what any other personalization provider today offers – underscoring Evergage’s market leadership and commitment to helping companies improve customer engagement, loyalty and results.”
Link: Evergage Press Release
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