This article explains how to use the Visitor Cross-Shopping analytic that’s available in the Places section.
This article covers:
Using the analytic
Applying filters
Exporting the data
↳ Using the Visitor Cross-Shopping analytic
Above: The Visitor Cross-Shopping analytic in the Places section
The Visitor Cross-Shopping analytic looks at the consumer habits of visitors. Chains are ranked by the percentage of visitors seen in any of their locations in the trailing twelve months.
The table includes the following fields:
Chain Name: The name of the retail, hospitality or leisure chain
Category: The broad category that the chain belongs to, e.g. Apparel & Accessories
Subcategory: A more granular categorisation, e.g. Women’s Clothing
Nearest Place: The distance to the nearest location of the chain
Percentage: The percentage of visitors that also visit this chain
Each field can be ordered ascending or descending. Click the column header to cycle through the options.
↳ Applying filters
Above: Filtering the analytic by Chain Name
Each field can be filtered. Click the ⋮ icon to apply a filter.
Filters include:
Chain Name: Allowing you to search for specific companies
Category: Allowing you to include or exclude broad categories
Subcategory: Allowing you to include or exclude more specific categories
Nearest location: Allowing you to include or exclude places within a certain distance
Percentage: Allowing you to include or exclude chains based on the percentage of visitors that visit there
⚠︎ Note: Using multiple filters
It is possible to apply multiple filters on the table. Filters are applied consecutively so retrace your steps to avoid hiding data. Columns that have a filter applied will display the filter icon.
↳ Exporting the data
Above: The export data modal
You can export the data as an image by clicking the download button in the top right hand corner. That opens up the export data modal displayed above.
A dialog box will open so that you can download the data. Simply enter a filename and click ‘Export’ to download as a .png.