Heat Map Generator: Create a Heat Map
How to Create a Heat Map in Minutes
1
Open Heat Mapping
Go to Map Tools in your Maptive dashboard and select Heat Mapping. You'll set your data source and visual style here.
2
Choose Your Map Style
Choose Marker Density to show where your pins cluster, or Numerical Data to weigh locations by a column like sales.
3
Generate Your Heatmap
Click Add Heat Map to render the overlay on your map. Then adjust the radius, opacity, intensity, and gradient colors.

What Is a Heat Map?
A heat map is a color-coded overlay on a geographic map that shows you where data points are concentrated or where values are highest. Areas with more data or higher numbers appear in warmer colors, and areas with less activity fade into cooler tones. In Maptive, your heat map pulls directly from your uploaded spreadsheet, so every color shift ties back to real entries in your dataset.
You can set a maximum intensity threshold to control when the color tops out, and toggle between gradient mode and single-color mode depending on how granular you need the view to be.
Ways to Use Maptive's Heat Map Generator
Analyze Marker Density to Spot Concentration Patterns
When you select the Marker Density style in Maptive, each pin on your map carries equal weight and the heat map shows you where those pins stack up. This is the default view, and it answers a simple question: where do you have the most and the fewest locations?
For competitor analysis, this is where you start. Upload a spreadsheet of competitor locations, generate a marker density heat map, and the color gradient will show you where competition is heavy and where it is light. If you are in retail and trying to decide where to open a new store, that map gives you a factual basis for the conversation instead of relying on assumptions about which areas are saturated.
You can also use this to audit your own coverage. If you manage a sales team spread across a region, a density heat map of your rep locations will show you the clusters and the dead zones in seconds. When your VP of sales asks where you need more headcount, you can point to the cold spots on the map instead of pulling together a manual report. Maptive lets you filter this view by a specific group too, so you can isolate a single state, territory, or business category and see its density pattern without noise from every other marker.


Weight Locations by Numerical Data for Deeper Comparison
Marker density tells you where things are, but it treats every location the same. When you switch to the Numerical Data style, the heat map starts weighting each location by a number from your spreadsheet columns, like revenue, transaction count, or square footage.
This is where you move past counting pins and start seeing actual performance. A map of 200 store locations might look evenly spread in marker density mode, but once you weight it by monthly sales, a few hot zones will stand out while the rest of the map stays cool. That kind of contrast is hard to get from a spreadsheet alone because rows of numbers do not communicate geography.
Setup takes two extra steps compared to marker density. You select your numerical column from a dropdown, and if you want to drill into a sub-segment, you pick a specific group the same way you would with a density map. Maptive generates the heat map once you click Add Heat Map, and from there you can adjust the radius and intensity threshold to fine-tune how the data spreads across the map. If a few outlier locations pull the color scale too far, tightening the threshold gives you a more readable result that preserves the relative differences in your data.
Layer Multiple Heat Maps for Side-by-Side Analysis
Maptive lets you add more than one heat map to the same view, which makes the tool useful for comparison work. You might run one heat map based on marker density and a second weighted by sales to see how volume and revenue align or diverge across your territory.
Each heat map you add receives a different color scheme so you can tell them apart at a glance, and you can customize those colors after the map generates. If you have regional managers who each need to see their own market, you can create separate heat maps filtered by group, one per territory or product line, and toggle them on or off using the visibility control next to each listing.
The visibility toggle is practical during presentations when you want to walk through layers one at a time rather than showing everything at once. You can hide a heat map temporarily with the eye icon so it stays saved without cluttering the view, or delete it with the trash icon when you no longer need it. This layering approach gives you a way to run scenario comparisons, like plotting customer density against service call frequency, without building separate maps for each metric. Your data stays in one place, and you decide what appears on screen.




















