Learn how predictive analytics is useful for retailers and how they can apply it to gain deeper, predictive insights into shopper motivation.
In-store Analytics uses Big Data to provide a wealth of information about shopper behavior — in the here and now. But what if you were able to use the data to make reasonable predictions about the actions of your customers in the future? Predictive analytics is a rapidly growing area that seeks to solve this challenge in the retail space.
During this webinar, we’ll discuss predictive analytics in a away that’s light on the technical but heavy on the practical. We’ll explain why it’s useful for retailers and how they can apply it to gain deeper, predictive insights into shopper motivation. With predictive analytics, retailers are now equipped to be proactive, to make decisions based on shopper behaviors before they happen. Better predictions means more sound strategies for driving higher conversions.
In this session you’ll learn:
- How predictive analytics is carried out
- How you can use predictive analytics to get more out of Big Data
- How RetailNext can pave the way towards predictive analytics
If you have any questions or would like a customized demo of RetailNext, please CONTACT US.