1. Analysis Objective
We calculate the proportion of common visitors between your potential new locations and your portfolio or between them to give an idea of the potential cannibalization. In this analysis, you will discover the percentage of visitors going to the neighbourhood of your potential new location and to the neighbourhood of your existing asset. It is available for an address, store, shopping centre, or shopping area.
Shared Visitors are computed regardless of the transportation mode.
2. Methodology and Computation
- Shared visitors = number of visitors going to two assets in the same period/number of visitors in the analysed asset.
- This metric takes into account both pedestrians and vehicles.
- The data is updated once per month, on the 8th, for the last month.
💡More information about our methodology: Shared visitors algorithms
Important: For addresses, this analysis takes into account all the visitors to the address's neighbourhood. Thus, if you analyse 2 addresses in the same neighbourhood, you will get 100% of shared visitors.
3. How to use it
The shared visitor's analysis is available depending on your subscription plan.
If you would like more information and to unlock this feature, do not hesitate to contact us.
This analysis will enable you to compare shared visitors at 2 levels (1):
- Vs portfolio: Between potential new locations and your existing portfolio. We select automatically the assets with the most shared visitors. You can display a comparison with up to 10 assets in your portfolio.
- Vs assets: Your potential new locations are evaluated against each other.
Select a period (2): Choose if you want to compare on the same week or month and select the period wanted in the calendar.
On the left side, you have the list of the analysed assets (3) with the shared visitor's score associated (4).
On the right side, you will find a map (5).
Tips: Move your mouse over an asset to display “Click to view the catchment area overlap” and click on it. You will discover the breakdown for each neighbourhood and see for each one, how many residents are going to the analysed locations.
4. How to read it
The higher the score, the larger the overlap of visitors between your portfolio locations and the location under evaluation. The score is the sum of the shared visitors percentage that each neighborhood of the asset in your portfolio has in relation to the neighborhood of the asset under evaluation.
Example: On average, 10,4% of this neighborhood's visitors also visited the neighborhood's of the evaluated asset.
Here are some use cases and advice on how to interpret this analysis effectively.
- Determine the proportion of shared visitors between 2 locations.
- Identify trends over a long period.
- Assess cannibalisation between your existing network and a future location
- Find out whether the opening of a new shop is competing with an existing one.
- Monitor the impact of a competitor's reopening/branding over time.
- Observe where residents of the same neighbourhood go between several assets analysed.
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