Case Study: Kickdynamic achieves real-time personalized email recommendations with TigerGraph

Kickdynamic delivers 10+ hop real-time recommendations with TigerGraph

Kickdynamic, an email marketing platform provider, faced the challenge of helping its clients overcome poor marketing personalization. A Gartner survey found that more than half of consumers would unsubscribe due to impersonal communications, and 74% of marketing leaders struggled to scale their efforts. To power its real-time recommendation engine, Kickdynamic needed a highly scalable graph database solution and chose to implement TigerGraph.

Using TigerGraph on AWS Cloud, Kickdynamic’s solution performs deep-link analytics, going 10 or more hops into CRM data to uncover customer intent. TigerGraph's native parallel architecture processes these complex queries in real-time. This enables Kickdynamic's customers, such as luxury clothing retailers, to deliver highly relevant product recommendations, resulting in increased customer engagement, brand loyalty, and sales conversions.

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