Didn’t find what you needed? Try searching for it here. Hit enter to search or ESC to close
Retailers are investing aggressively in new advanced analytics capabilities so they can leverage everything from POS data to social media comments to panels to beacons to gain new insights into consumer behavior.
One of the top priorities for the use of this data is to prevent returns and preserve the customer experience. But there is a gaping hole in the picture, and that’s in understanding what data to collect and how to interpret it.
Retailers need to measure returns more accurately so they can manage them more efficiently. Only then can they prevent returns.
What if you had these sorts of insights into what products were coming back, and why?
Retailers don’t often know about these issues with their products because they don’t collect good data. This oversight is costing them in customer satisfaction and repeat business.
Prevent returns, preserve the customer experience, and increase the customer lifetime value. These should be top priorities for all ecommerce companies.
Retailers are investing aggressively in new advanced analytics capabilities so they can leverage everything from POS data to social media comments to panels to beacons to gain new insights into consumer behavior.
One of the top priorities for the use of this data is to prevent returns and preserve the customer experience. But there is a gaping hole in the picture, and that’s in understanding what data to collect and how to interpret it.
Retailers need to measure returns more accurately so they can manage them more efficiently. Only then can they prevent returns.
What if you had these sorts of insights into what products were coming back, and why?
Retailers don’t often know about these issues with their products because they don’t collect good data. This oversight is costing them in customer satisfaction and repeat business.
Prevent returns, preserve the customer experience, and increase the customer lifetime value. These should be top priorities for all ecommerce companies.
Retailers are investing aggressively in new advanced analytics capabilities so they can leverage everything from POS data to social media comments to panels to beacons to gain new insights into consumer behavior.
One of the top priorities for the use of this data is to prevent returns and preserve the customer experience. But there is a gaping hole in the picture, and that’s in understanding what data to collect and how to interpret it.
Retailers need to measure returns more accurately so they can manage them more efficiently. Only then can they prevent returns.
What if you had these sorts of insights into what products were coming back, and why?
Retailers don’t often know about these issues with their products because they don’t collect good data. This oversight is costing them in customer satisfaction and repeat business.
Prevent returns, preserve the customer experience, and increase the customer lifetime value. These should be top priorities for all ecommerce companies.
Retailers are investing aggressively in new advanced analytics capabilities so they can leverage everything from POS data to social media comments to panels to beacons to gain new insights into consumer behavior.
One of the top priorities for the use of this data is to prevent returns and preserve the customer experience. But there is a gaping hole in the picture, and that’s in understanding what data to collect and how to interpret it.
Retailers need to measure returns more accurately so they can manage them more efficiently. Only then can they prevent returns.
What if you had these sorts of insights into what products were coming back, and why?
Retailers don’t often know about these issues with their products because they don’t collect good data. This oversight is costing them in customer satisfaction and repeat business.
Prevent returns, preserve the customer experience, and increase the customer lifetime value. These should be top priorities for all ecommerce companies.