How to Leverage Customer Analytics in the Retail Industry

As the retail industry turns increasingly digital, customers are now more well-informed and connected than ever before. To take on this challenge, and drive significant customer engagement, retailers need to blur the lines between the offline and online retail experience. This calls for making data analytics—operational and customer—a key component of an organization’s growth strategy.

In our latest white paper, Retail Analytics: The 5 Keys to Success for Customer Analytics in the Retail Industry, we focus on how data analytics can help retailers to better serve their customers and in turn increase conversion rate, loyalty, and ROI. We go over the importance of having a personalized shopping experience for your customers and how to build an effective personalization strategy.

This latest piece is a follow-up to our white paper from last fall, Retail Analytics: Turning Operational Data into Actionable Insights, which highlights the importance of operational analytics and its potential in solving the various challenges that retailers face. More specifically, retailers are able to analyze various internal functions within their organization and subsequently streamline them for a greater ROI.

Both these papers show the importance of data analytics within the retail industry and how insights drawn from data analytics can help retailers discover business capabilities/challenges and increase overall ROI.