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Foot Traffic Trend
Foot Traffic Trend

How to analyze visits to centers over time

Matt Taaffe avatar
Written by Matt Taaffe
Updated over a year ago

This article explains how to use the Foot Traffic Trend analytic that’s available in the centers section.

This article covers:

↳ Reading the data visualization

The Foot Traffic Trend visualizing data from January 2019 onwards

Above: The Foot Traffic Trend visualizing data from January 2019 onwards

The Foot Traffic Trend analytic displays an estimate of the visits to a center. As a times series graph, you can see how visits have changed over time.

By default it displays 15 months - the trailing twelve months and the next three months into the future:

  • Solid lines indicate historical visits

  • Dashed lines indicate forecasted visits

The x-axis displays months or quarters, while the y-axis displays the estimate of visits.

By hovering over a data point, you can see the absolute estimate of visits, a year-on-year comparison, and a comparison to the 2019 baseline value:

Hovering over a data point on the Foot Traffic Trend analytic reveals more information

Above: Hovering over a data point reveals more information


↳ Changing what data is displayed

Using the date pickers on Foot Traffic Trend

Above: Using the date pickers

There’s two ways to change the data being displayed:

  1. Editing the date range

  2. Changing the aggregation

To edit the date range, simply click the start month and end month date pickers.

To change the aggregation, select Monthly and Quarterly buttons underneath the date pickers.

🛠Troubleshooting: Why does the graph look strange on quarterly aggregation?

An example of a quarterly aggregation graph

Above: An example of a quarterly aggregation graph

If the graph has lower values at the start and end of the time series, it may be because the dates selected don’t match the quarterly aggregation.

Quarters match the Gregorian calendar, so Q1 is January - March; Q2 is April - June; Q3 is July - September; Q4 is October to December. Your graph will drop at the start if the start month is not January, April, July or October. Your graph will drop at the end if the end month is not March, June, September or December.

Match the months to the quarters to avoid this issue.

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