A Global Sportswear Company Is Consolidating Volumes of Complex Data to Better Understand Customer Preferences

A global sportswear company is attempting to understand web visitor behavior in order to deliver content that matches visitor preferences. The challenge was that their behavioral data was very large, complex and difficult to consolidate into reports. They decided to use Syntasa's Adobe Analytics Adapter to better ingest clickstream data and build custom tables with detailed information on a visitor's journey. 

In this case study, discover how Syntasa's platform is enabling their analysts to automatically ingest behavioral data and provide a complete picture of their visitors' journeys. 

 

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As the leader in AI Assisted Customer Analytics, Syntasa is helping enterprises generate real-time, actionable customer insight to enhance the customer experience and drive conversions. Syntasa's software can be installed on-premise, allowing the enterprise to integrate individual-level clickstream data with sensitive enterprise data. By leveraging open-source technologies, Syntasa seamlessly fits in the new enterprise big data analytics ecosystem and provides easy-to-use behavioral analytics applications which significantly reduce time-to-value. The company is headquartered in the Washington, DC metropolitan area with an office in London.