1. Analysis Objective
The Dwell Time measures how long your visitors stay in your shopping centre, shopping area, or store. We provide Dwell Time monthly evolution. You will see how the average Dwell Time evolves every month for your asset according to defined time buckets.
2. Methodology and Computation
- Measures the time spent on the location for all visitors staying for more than 15 minutes and less than 5 hours.
- We take into account visits made between 8 am and 11 pm. Any visit starting before 8 am or ending after 11 pm is excluded.
- The dwell time is calculated each day per visitor. If a person visits several times during the month, each visit will be calculated for each given day.
- For each individual person entering and leaving the polygon, we calculate the time spent in the shopping centre or the commercial area by using the first identified timestamp and last identified timestamp of the person’s device in the polygon, and then aggregate the data of individuals to showcase statistics on the platform.
💡More information about our methodology: Dwell time algorithm
3. How to perform it
To start an analysis:
- Select your asset
- Define a period (1): choose a start and end time
-
Time spent in the shopping centre, shopping area or store (2): Select the time buckets you want to display (you can select them all)
- Between 15 and 30 minutes
- Between 30 and 60 minutes
- Between 60 and 90 minutes
- Between 90 and 120 minutes
- Between 2 and 5 hours
Tips: Move your mouse over the graph and select a specific time period to see the percentage breakdown by time bucket and compare it to the previous month.
4. How to read it
Example: Between June and July 2023, visitors to Agen Centre stayed longer in the city centre: +3 points for visits lasting 60 to 90 minutes and +1 point for those lasting 90 to 120 minutes. At the same time, visits lasting between 30 and 60 minutes fell by 2 points.
Here are some use cases and advice on how to use this analysis.
- Analyse the impact of your shopping journeys.
- Understand the attractiveness of the area in order to adapt urban development and the retail offer in the area.
- Measure the impact of the appeal of cultural and tourist events.
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