The complete playbook for heat mapping your data.
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Let's look at the heat maps we can generate using eSpatial:
Ignore boundaries. Focus purely on high and low activity patterns.
The use case: Customer density. Darker shades reveal where your people actually are, independent of territory lines.
Use boundaries (states, territories) to measure metrics.
The use case: Aggregate sales volume. Color scales show the total value per region.
A regional heat map — known as a choropleth map
The right map isn't just a visual, it's a competitive edge. Use eSpatial heat maps to turn raw data into critical strategy for your sales team.
Get a high-altitude view of your marketplace. Perfect for sales and marketing teams. Map your potential customers (population) against your actual office locations.
Real-world example: A Kansas sales organization used this to visualize gaps between their physical offices and high-density customer targets.
Build a service network that actually reaches your customers.
Use heat maps to visualize customer density against your current locations.
Use heat maps to layer third-party demographic data over your territories.
Real-world example: A Texas fashion retailer used regional heat maps to identify high-value ZIP codes.
The result: They placed billboards exactly where their target demographic lived, rather than spraying and praying.
Use regional heat maps to find your next franchise location.
How it works: Map your existing stores (stars) against incoming customer inquiries (heat markers).
The signal: High heat + No stars = Opportunity.
Don't wait for churn numbers to tell you something is wrong. Map customer satisfaction rates nationwide to spot risks instantly.
Revenue is geography. You need to know where you make the most money. Use heat maps to isolate high-profit customer clusters instantly.
Match incoming customer inquiries to your current sales coverage.
Visualize your team's true addressable market to spot inefficiencies instantly.
Starting cold is hard. Field reps often waste time deciding where to begin.
Use heat maps to identify high-opportunity "pockets" instantly. Give your reps a concrete starting line.
Raw revenue tells a partial story. Don't judge reps solely on one number. Use regional heat maps to reveal the market reality behind the sales figures.
It's easy to create a heat map for regional analysis in eSpatial. Start by setting up a free trial account and then follow these steps:
Step 1
You first have to add data to your map – it will form the basis for all of your analysis and be displayed as points on your map. This could be sales data, service data, demographic information and other KPIs, with one row for each unique address.
Click the Add Data option from the control panel. Then click Upload new data and follow the instructions.
Step 2
The boundaries of your regional heat map will define which groups your data points will be included in. This is often done by state or three-digit ZIP code. You can select various types of boundary data from our extensive data library.
To add your boundary, simply select Add Data and then Add from Library. Choose the eSpatial data store tab and then pick your boundary. In this example, we’ve chosen US states. (For more boundary options, visit our data set library.)
Step 3
From the Control Panel on the left side of your screen, select Analyze from below your dataset. From the options, select Regional Heat Map.
Step 4
Next, select the points and boundary data sets. In this case, the points data is Client Accounts, and the region data is US states. Then, click Complete to generate your regional heat map.
Step 5
Below, the regional heat map you created shows the states with the most client accounts. You can see what each color represents by checking the legend on the right side of the workspace.
The default color range is from yellow to red, but this can be changed in the styling options.
Creating your own hot spot heat map in eSpatial is simple. Just follow the steps below:
Step 1
Upload a data set (such as an Excel spreadsheet or CSV file) that contains one unique address per row as well as any other value fields you want to add to the map. In your new Workspace, select the Add Data option from the control panel. Then click Upload new data and follow the instructions.
Step 2
If you wish to see the originally mapped data expressed as pins on top of your heat map, tick Overlay Pins from the bottom of the menu. Color Snapping removes the noise around the edge of your heat map.
Step 3
Exit the Style Panel to view the map you have created using our heat map generator. The legend in the top right of the screen will highlight the color range from low to high data density.
Step 4
You've now created your own hot spot heat map.
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