Using Spatial Data in Retail Analytics Post COVID-19

The COVID-19 pandemic has had a significant impact on retail sales, with an 8.7% decline in US retail sales compared to the pre-pandemic period. To better understand the commercial and economic impact of the virus across different industries and geographies, retailers are turning to new data streams such as human mobility, socio-economic, and financial insights. A Retail Impact Scoreboard developed by Unacast tracks changes in visitation trends across various industries and regions, providing valuable insights for recovery planning. Consumer confidence is a key indicator of activity and recovery, with recent surveys indicating low levels of confidence among Americans. By analyzing data from Mastercard transactions during the pandemic, retailers can gain insights into customer behavior and spending patterns, which can inform recovery strategies. The use of spatial data and real-time human behavior analysis can help identify early signals of potential recovery in different regions, such as Georgia, where a trend analysis revealed mixed short-term trends with no clear signal visible before reopening, but upwards momentum observed after reopening.

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