Big Data Helps Predict Which Brick-and-Mortar Locations Will Thrive and Fail
While the Gap says its decisions are being made based on traffic trends and profits—the brand saw a 7% decline in quarterly comparable sales—data scientists from top technology firms are working feverishly behind the scenes to use big data to predict which store closures could come next. Having a heads up on which retail locations have a high likelihood of closing could benefit those in the commercial real estate sector, as well as retail brands looking to decide on future store locations.
New Hyperlocal Opportunities as TV Goes Social and Mobile
Looking at the role location plays in TV leads us to two key areas of opportunity. The first is the collection of location data from Twitter and other social TV platforms enabling networks to identify high and low geographic engagement regions. The second is the relationship between the viewers’ physical location and the presentation of offers/deals by brands…