Category Archive for "Customer Behavior Analysis"

Customer Behavior Analytics: 5 Technologies to Track Customer Behavior

When someone visits a retail store, there is a 20-30% chance of making a purchase. If your store has the items they want, the chances of buying improve. If the store layout is simple enough for the visitor to find...

5 Ways to Improve Customer Experience and Increase Conversion Rates

All big businesses know that getting people to visit your store is only the first step in the selling process. The most challenging part is converting these visitors into buying customers, not just one-time customers, but regulars as well. Statistics…

3 Ways Retailers Are Embracing Change in 2021

The resilience of retail in the face of challenges has been a remarkable success story in 2020. Retailers have shown the strength and adaptability to respond to customers’ changing needs. The pandemic has forced new ways of doing business, from…

Customer Counting: How To Analyze Retail Store Traffic

Retail stores receive millions of visitors every year. The primary objective of a store is to attract visitors and make sales. However, this constant stream of traffic can be leveraged to create an alternate source of value for retailers. You...

Adopting E-Commerce Analytics for Physical Retail Stores

One significant advantage that e-commerce websites have over brick-and-mortar retail stores is access to customer data. Every decision that online stores make and every strategy they implement is data-driven. From marketing/promotions to inventory management and customer service delivery, analytics are...

How to Improve Customer Experience With Sensor-Based Technology

February 27, 2020
martinhildgen

According to a study by Walker, customer experience will overtake product superiority and price as the key differentiator between brands in 2020. As the year progresses, more customers will prioritize exceptional buying experiences over other considerations. Another study, this time…

The Best Technologies to Track Customer Behavior in Retail

In the past, businesses had a difficult time predicting what their customers would like. Decisions like which products to list and which store layout customers found most convenient were made through a combination of trial and error and constantly asking…


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