Webinar Recap: Predictive Analytics for Retailers | RetailNext
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Webinar Recap: Predictive Analytics for Retailers

Nikitas Magel
Nikitas Magel
Content Marketing Manager

With predictive analytics, retailers are now equipped to be proactive, making decisions based on shopper behaviors before they happen.

Blog_Predictive-WebinarOn Tuesday, March 25, we broadcasted our live webinar, Predictive Analytics for Retailers: Insights into Tomorrow’s Shopping Behaviors. In it, we presented predictive analytics in a way that was light on the technical, but heavy on the practical. We explained why was useful for retailers and how they could apply it to gain deeper, predictive insights into shopper motivation.

Following are some highlights from the webinar.

Why do retailers need predictive analytics? With competition being fierce and shoppers having more places to shop, building a loyal customer base is difficult. Also, testing changes in retail spaces can be costly, time-consuming, and inefficient. With predictive analytics, the omnichannel needs of shoppers can be met more quickly.

What questions can retailers answer with predictive analytics?

How can RetailNext pave the way towards predictive analytics? RetailNext lets retailers analyze and visualize massive amounts of diverse retail data: POS transaction records, demographics, psychographics, movement patterns, etc. Using the data that RetailNext collects and generates, retailers can drive predictive analytics.

A full recording of the webinar, Predictive Analytics for Retailers: Insights into Tomorrow’s Shopping Behaviors will be available on Friday, March 28 and can be accessed from the RetailNext webinar page.

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