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Explore and analyze the impact of the Covid19 pandemic on US retailers.
The Retail Trend Explorer combines the power of SafeGraph™ GPS mobility data with the powerful segmentation and analysis capabilities of Domo’s analytics platform.
Use this explorer to uncover more insights about the impact of the pandemic, government stringency and quality of digital experiences within the US Retail sector.
Tracker segment definitions:
Click and Collect (AKA BOPIS) – Categorized as Bad or Good based on the retailer as measured by the likelihood that the retailer has the ability to buy online, pick up in store or that the ability to monitor inventory levels adequately will result is a positive BOPIS experience.
Online Shopping - Categorized as Bad or Good based on the retailer’s online site functionality and online shopping volume. Retailers who have made significant investment in their ecommerce sites would be listed as Good and will likely achieve higher share of online shopping dollars in 2020.
Mall – Retailers are categorized based on if they are typically located inside a mall or as an anchor store or not. This is useful for understanding the store square footage as well as the ability to deliver to a parking lot. Retailers not typically found in a mall are listed as “no”.
Size – Retailers are categorized based on overall volume. The Huge and Large retailers are based on the Internet Retailer 1000 list whereas medium and small are identified based on how many states the retailer sells into.
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Talk to DomoHow was this tracker made?
The COVID-19 data is gathered every 10 minutes from credible sources, including WHO, CDC, Johns Hopkins University, Worldometer, IHME, The COVID Tracking Project, FRED, The New York Times, the Wikipedia compilation of world testing, SafeGraph, Foursquare, Thumbtack, SBA, Apple, Google, Our World In Data, and data from AWS Data Exchange.
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