Predictive Analytics in
Retail: Revenue Growth
through Customer Signals

Retailers collect huge amounts of customer data from all touchpoints. And in many cases, they do not take advantage of it all because of a lack of resources and manual analysis. 

Using predictive analytics, retailers can analyze the customer journey and forecast which customers are highly likely to buy certain products. Moreover, it helps to identify customers who are at risk of leaving and to find ways to retain them.

Analyzing this data will help you understand your customers on a deeper level and predict their behaviors in a more personalized way.

Getting the key signals of customer behavior today drives the business outcomes tomorrow.

In this webinar you will learn:

• How to automate the data analysis in retail
• How to identify the key signals of customer behavior 
• How to extract insights from your data and act
• How to predict customers' behavior and retain them.
  

This webinar will be useful for business leaders, executives, and everyone who’s looking for a smart way to automate the analysis of customer data in retail, get key insights and apply them to the sales strategy.

Happy Intelligent Automation,

Put It Forward team