Treasure Data has added new product capabilities for its customer data platform as well as 15 new integrations, bringing the total number of connectors in its network to more than 170. The solution provider also launched an in-store SDK that aims to offer retailers a complete, unified view of the shopper journey.
Treasure Insights is a new suite of customer analytics that can provide marketers with visibility into customer behaviors and the effectiveness of marketing activities. The suite is designed to offer:
- Enhancements to unified customer views with added visibility into behavioral attributes, content affinity, campaign engagements, purchase behaviors and more;
- Audience segment demographics and behavioral attributes;
- Machine learning-driven insights on lifetime value, next best actions and churn probability; and
- Attribution dashboards leveraging the most commonly used models.
Additionally, the new integrations add connectors to Amazon DSP, LinkedIn, Gigya and others. The integrations are designed to enable faster data ingestion, analytics and seamless campaign execution, as well as to provide marketing teams with a single place to store and analyze data.
Treasure Data’s new in-store SDK helps retail mobile apps deliver connected shopper data to marketers, store associates and customer service representatives. The tool aims to unify digital shopper profiles with physical in-store data to better understand the customer journey.