A Predictive Approach to Retail Customer Intelligence Using Multi-Channel Data

September 22nd, 2015

Prerequisite: None

Dean Abbott

Co-Founder/Chief Data Scientist

Smarter HQ, Inc.

Retailers collect big data to understand and message their customers. However, this data is typically put into silos, separating customer information from websites, mobile apps, call centers, and instore. Moreover, retailers are beginning to see the value in applying predictive analytics to augment their already extensive efforts to report on and visualize their data. Integrating big data collected from multiple channels so that predictive models can provide insights in the total customer experience is a gamechanger and is revolutionizing how retailers bring more timely and relevant messaging to their customers. This session will describe principles for how to approach multi-channel customer intelligence for retailers, why it’s critical, and what results can be expected.