Average footfall – Help Center - Mytraffic

1. Analysis Objective

The average footfall displays the total number of visitors in front of an address, or the estimated footfall (unique visitor) inside of a store, a shopping centre, or a shopping area, on an average week or day for the last year. This is a location identity card and thanks to this analysis, you can compare the average number of visits between 2 locations.

2. Methodology and Computation

Throughout all our countries, we provide average footfall data computed for the entire year of 2024. These insights are updated annually in January.

We obtain these analyses from historical data that we have collected over a long period, which we then average over time.

Counting methods
Address	Total number of visits per person per day within a radius of 16 metres of the GPS point: a person is counted as many times as he or she passes in front of the address.
Store and shopping centre	Total number of unique visitors per day: a person is counted if he or she stays in the zone for more than 10 minutes. Weekly view: A person is counted only once per day (pedestrians only) even if he or she enters and leaves several times. Daily view: Same as weekly view. Except if a person stays for several hours: in this case he or she will be counted every hour. For shopping centres and stores, we exclude employees.
Shopping area	Total number of unique visitors per day: a person is counted if he or she stays in the zone for more than 10 minutes. Weekly view: A person is counted only once per day (pedestrian and vehicle) even if he or she enters and leaves several times. Daily view: Same as weekly view. Except if a person stays for several hours: in this case he or she will be counted every hour.

💡More information about our methodology: Quantification algorithms

3. How to use it

You can analyse the estimated footfall distribution for a specific location or compare it with another location.

To start an analysis:

Select your asset (you can analyse a unique location).
For comparison mode (1): Include a second asset by clicking on the box below the main one.
Time period (2): Specify the granularity either on a weekly or daily basis. (With the day filter, you can view an average or select a specific day).

Please note: To maintain consistency in the figures we give, we recommend that you compare assets in the same category. Due to differences in relevance and the distinct methodologies employed for footfall computation, comparisons are restricted to assets that are compatible:

An address can only be compared to another address.
Stores or shopping centres can be compared with each other.
A shopping area can only be compared to another shopping area.

4. How to read it

Example: In 2023, 116,100 visitors visited 24 rue des Martyrs in Paris on average per week. On Saturdays, footfall was 47% higher than on other days of the week.

Here are some use cases and advice on how to interpret this analysis effectively.

Understand the dynamics of your addresses or areas as part of a diagnosis.
Analyse footfall to help or convince retailers to adjust their opening hours.
Use this data to show that an address/area corresponds to what a brand is looking for and convince it to set up there (for example, a peak in footfall at lunchtime).
Identify the areas with the most traffic for organising events.

5. Frequently Asked Questions

Why can I not access the analysis?

For Addresses only: You may not have access to the analysis because the average pedestrian traffic of your address may be below the minimum thresholds that guarantee data reliability.
For Shopping centres, stores and shopping areas: When the polygon drawn by Mytraffic is too recent (drawn after January 2023), it is not possible to access the analysis because we need one full calendar year of data history on a polygon to create the analysis.

What is the average number of visitors to an address, in a shopping centre/area based on?