Customer loyalty data can be used in PiinPoint to, show your customer's contribution by geography levels (e.g. FSA, Block Group) or to look at individual customer addresses, and delineate natural boundaries of where your customer's travel from in order to calculate market penetration and visualize cannibalization.
Once you've uploaded your client data into PiinPoint and explored the heat map display of customer contribution, try looking at the data by individual points.
Show Individual Points
Within your customer contribution Layer, click the Gear icon on the left of any contribution layer and input the store numbers that you want to analyze, e.g. show data for store 1480 based on FSAs:
Within the Layers Panel, click on the option to Show Points.
Based on your Store ID that was input, individual points will appear on the map within each area:
👉 Keep in Mind
- If you're showing customer data in Canada, the lowest level of granularity that can be shown is by postal codes, even if your data is based on street address. Check out our docs here to learn more about discovering which postal codes have multiple customers.
Map Multiple Stores' Trade Areas
Using the Show Points tool, you can pick up to twenty locations and visualize the spread of your customers for a given market. This helps you identify the organic boundaries of your trade areas, showing which ones customers visit and the opportunities for infill sites.
Once your customer points are on the map, a legend will appear in the bottom right of your screen, allowing to toggle any of the selected locations customers on and off.
Show Changes in Contribution Over Time
You can also upload multiple samples to see how spread of your customer changes across different periods of time (e.g. seasons, months, years).
For example, this Sample Store 1480 saw a huge increase in customer distribution from 2016 to 2017, perhaps due to closing a store in North York and increasing the number of targeted ad campaigns run in Etobicoke: