Comparing current foot traffic to the pre-COVID-19 days can provide a deep understanding of the commercial and economic impact of the virus across different industries and geographies. Better still, industry- or brand-specific traffic trends can help identify early signals of a potential recovery in different regions of the US.
Visualize foot traffic trends for a variety of industries in all 50 states
Compare visitations in 2020 with visitations in 2019- Connect COVID
Connect COVID-19-related news story publications to changes in behavior
Have questions about our methodology? Have a look at the articles and data schema below.
Unacast's robust team of data scientists and PhDs focuses on data accuracy to ensure that our partners and clients get high-quality insights that reflect real-world events.
Our scoring system is based on the percentage increase or decrease from the same day in 2019:
Hot: >20% increase
Warm: 0-20% increase
Cool: 0-20% decrease
Cold: >20% decrease
We assign speed-analogy labels to the rapidity of industry recovery based on the trend slope:
Slow: slope between 0 and 0.01
Fast: slope between 0.01 and 0.03
Very Fast: slope > 0.03
Interested in traffic trends at a more granular level such as neighborhoods, brands, or venues? Contact our team to learn how our data feeds and insights reports can help.
The Scoreboard tool above is a high-level demonstration of how our data can help companies understand the current picture and react accordingly. Please contact us if you’d like to dig deeper:
Zoom in from the national and state-level maps to get insights at the county, city, neighborhood, census block group, or venue scales.
Our Real World Graph® comprises many more industries than what’s demonstrated above, including sub-categories (such as QSRs), brands, or individual locations.
See traffic fluctuations broken out by different types of visitors, such as local visitors, tourists, or workers.
Curious about exactly what data is included in the Retail Impact set? Check out the schema below. To download a sample of the data, please click here.
Schedule a meeting with the Unacast team: Jonathan Torre, Tesh Patel, Jeffrey Cichon, John Ryan, and Teddy Dulchinos. Not ready to meet with us? Send us an email instead.