Location Profile

Location profiling in marketing offers valuable advantages. It allows businesses to gain deep insights into the preferences and behaviors of (potential) customers living around your store or billboard location. With this knowledge, companies can tailor their local marketing strategies, delivering more targeted and relevant campaigns. Location profiling also empowers businesses to make data-driven decisions when opening new store locations and analyzing new catchment areas.

With Spotzi, we have made this process easier. You add your locations, and we show you more insights about the people living in this area.

Mapping your locations

Locations are a vital part of location profiling. Before we can get started with location profiling, you need a map with locations. There are multiple ways to achieve this:

• Draw points on the map: You can draw your locations on the map by hand; please read our guide on how to draw a map.
• Map addresses by geocoding: In case you have a few locations you want to analyze, this can be done by hand. It becomes quite an extensive task when you're a company with hundreds of locations. Instead of drawing these locations on the map by hand, you can also let Spotzi geocode your addresses. Please read our guide about mapping addresses for more information.
• Import geodata: Do you already own a geographic dataset (e.g., geoJSON, KML, or Shapefile) or do you already have your locations set up in Google Maps? Even better. Please use the documentation about importing geodata.

Get Location Insights

Enhance your dashboard with insights. Depending on your Spotzi Plan, you have access to predefined data like household insights and disposable income. For more insights, explore our premium data or contact sales for details.

Add these data to your location insights:

• Disposable Income
• Age Demographics
• Household Characteristics
• Consumer Spending
• Consumer Behavior
• Traffic Insights
• Real Estate

1. In this example, we will create more insights into consumer behavior related to eating out. Select the LOCATION PROFILE option on the home screen first.

2. Select based on which locations you want to create this profile. We have previously imported an address dataset with store locations in Toronto.

3. Select the country, aggregation level, dataset, and data for visualization (e.g., Consumer Behaviour > Canada > Canada Dissemination Area and the following graphs:

• Dine In or Out of 5 or more Times Per Month - Bars of Pubs
• Dine In or Out of 5 or more Times Per Month - Buffets
• Dine In or Out of 5 or more Times Per Month - Cafetaria
• Dine In or Out of 5 or more Times Per Month - Coffee Shops
• Dine In or Out of 5 or more Times Per Month - Convenience Store

After you have selected the graphs, press NEXT STEP. You can always add more insights later.

4. Give your location profile dashboard a name. Click CREATE DASHBOARD to start profiling your locations.

5. Now, all graph blocks are added to the newly generated dashboard. The data shown is based on the location of the stores. For deeper analysis of these store locations, you can filter your locations or add additional insights by selecting one of the data categories in the top bar.