A recent press release reports, “TigerGraph, the only scalable graph database for the enterprise, today announced that Kickdynamic has chosen TigerGraph’s technology to help its more than 200 global customers in fashion, retail, travel, and other sectors achieve maximum email personalization and relevancy. Studies have shown that businesses able to develop content that’s highly relevant and personalized to each individual recipient will see increases in open and conversion rates. In addition, a Gartner survey showed that 38 percent of customers will stop doing business with a company because of poor marketing personalization efforts. Kickdynamic is tapping into the power of TigerGraph’s native parallel graph database on AWS Cloud for its open time platform that hyper-personalizes email with dynamic, real-time content based on multiple factors, such as demographics, user preferences, product features, location and browsing, search and purchase history.”

The release continues, “As the digital era has given consumers unprecedented choices, all just a click away, simple recommendations such as ‘customers who bought this item also bought’ or ‘these products are often bought together’ are no longer enough. To foster brand loyalty, businesses must gain a more sophisticated understanding of the unique, varied, and complex characteristics of every customer and deliver, on the fly, offers and recommendations that truly speak to them. A standard collaborative filtering algorithm, used by popular sites such as Amazon.com, creates a recommendation based on the buying behavior of other users delving only one or two levels or hops into the data. The first hop is from the customer to the product they are reviewing or have purchased. The second hop is from the product to other customers who have bought that product. The third hop is from these customers to other products they have bought over time that aren’t yet purchased by the customer.”

Read more at tigergraph.com.

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