Top 5 Data Stories of 2020

December 28, 2020

As we approach 2021, we wanted to look back at which data stories resonated with our blog readers the most. Check out the top five Gravy Analytics data stories of 2020 below.

Top Data Story #5

Measuring COVID-19’s Impact on Foot Traffic in the U.S. and Seattle

Measuring COVID-19’s Impact on Foot Traffic in the U.S. and Seattle

Using aggregated location data for the period between January 1 and March 7, 2020, we examined foot traffic patterns across the country as well as the Seattle metro area (the epicenter of the COVID-19 outbreak in the U.S.), to determine what impact the virus has had on both consumers and businesses.

For more, read the full article.

Top Data Story #4

Analysis of COVID-19 Impact on Convenience Stores

Analysis of COVID-19 Impact on Convenience Stores

As COVID-19 continues to impact the retail industry, convenience stores are emerging as retail’s silver lining. We analyzed foot traffic at five major convenience brands across the US to determine which ones have been the most and least impacted by COVID-19.

For more, read the full article.

Top Data Story #3

How COVID-19 Changed Foot Traffic at Top Retail Brands

How COVID-19 and Social Distancing Changed Foot Traffic at Top Retail Brands

We chose a selection of top retailers in key shopping categories – to explore how each has been impacted by COVID-19 and associated changes in consumer behavior. To do so, we compared average daily foot traffic for each retail brand.

For more, read the full article.

Top Data Story #2

The Impact of COVID-19 on Social Distancing and Foot Traffic at Fast Food Restaurants

Using aggregated location data and Gravy’s Visitations dataset, we examined consumer visits at 10 popular QSRs. For ease of comparison, we compared daily device visits in March to average, same day-of-week device visits in February for each brand.

For more, read the full article.

Top Data Story #1

How COVID-19 is Impacting Foot Traffic at Grocery Stores

How COVID-19 is Affecting Foot Traffic at Grocery Stores

Using aggregated and pseudonymized location data, we analyzed unique visits at ten major grocery chains, to see how current consumer behavior is affecting these brands. To determine this, we compared average daily unique visits in March to same day-of-week unique visits in February.

For more, read the full article.

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