Data-driven intelligence will ultimately enable retailers to cater to customer needs in a more individualized and sophisticated manner, without expending excessive effort, expense, and resources. Read on to learn how some retailers are analyzing consumer data to better understand and meet customer needs.
Annual Infogroup survey of DMA conference attendees shows data-related investment will continue to increase in 2015, but brands still struggling to build complete customer profiles.
In 2014, the retail industry was full of various buzzwords, from omnichannel to big data and new solutions were being discussed everyday. Here are some predictions for 2015.
In order to bring someone back time and time again, marketers must craft meaningful and relevant experiences for the individual. So how can brands go about building loyalty for their businesses in 2015?
As multichannel retailers develop strategies for the upcoming holiday rush, they must address a critical blind spot by improving visibility into consumer behavior in physical stores. Fortunately, new technology solutions can help organizations close the “insight gap” between online and in-store consumer behavior.
Retailers are spending more on marketing data capture than mobile heading into the 2014 holidays, based on a survey by Edelman Berland for eBay Enterprise.
With over 25,000 unique SKUs and an average inventory turnover rate of 30 to 45 days, Buffalo Exchange’s leadership team knew it was time to automate or face becoming buried in a mountain of disjointed analog data that would not be helpful for strategic or operational decision making.