Build a Sales-Weighted Heat Map of Revenue, Not Points

Yes. In the Heat Mapping Tool, set the style to Represents Numerical Data and point it at your sales or revenue column. Instead of counting how many customers fall in an area, the heat scales by the dollars in each row, so a handful of large accounts can outweigh a dense pocket of small ones. Click Add Heat Map and the gradient redraws by value. Your points keep their own figures, so two areas with the same customer count can read very differently once sales drive the color.

Plot your customers or orders with a revenue column, open the Heat Mapping Tool, and choose Represents Numerical Data as the style. Select the revenue column and click Add Heat Map, and the warm areas mark where revenue concentrates rather than where points pile up. From there you set the radius, opacity, and intensity threshold so the high-revenue pockets are easy to pick out. Because the heat reads from individual points, you see revenue intensity across a whole region without first rolling the numbers up into ZIP codes or counties.

A Marker Density heat map counts points, so it heats the places with the most customer addresses. A weighted heat map, built with the Represents Numerical Data style, scales by a number in each row instead, like sales or revenue. The first answers where many customers sit, and the second answers where the value lands. They can disagree, since a busy area of small accounts and a thin area of large ones look different once dollars drive the color. Running both on the same view lets you read count against value side by side.

Yes. The Represents Numerical Data style weights the heat by a number, so your file needs a column of values such as Sales, Revenue, Price, or Premium in each row. If a row has no number in that column, it has nothing to contribute to the weighted heat. A plain address list with no value field still runs with the Marker Density style, which counts points, but to weight by dollars you add the figures to your data before or after upload and point the tool at that column.

Any numeric column in your data can drive the weighted heat, from total Sales and Revenue to Price, deal size, order value, or Premium. You choose the column when you pick the Represents Numerical Data style, and you can build more than one heat map, each pointed at a different number, then switch between them. Text columns like segment or status will not weight the heat, since the style needs a number to scale by. To split a value by category instead, the Grouping Tool colors your pins by number ranges rather than blending them into a gradient.

Yes. Add one heat map set to Represents Numerical Data on your sales column, then add a second set to Marker Density on the same points. Each gets its own color automatically, and you can hide one while you read the other. The density layer shows where many customers sit, and the weighted layer shows where the revenue lands, so a region that looks busy on one can look thin on the other. That gap is where the useful decisions hide.

After you add the heat map, controls let you set the radius, opacity, intensity threshold, and colors. The radius grows or tightens each hot spot, opacity lets the base map read underneath, and the intensity threshold controls how much value registers as hot. You can turn Gradient On for a single-color fade from light to strong, or keep the multi-color gradient. Colors are set apart automatically when you run more than one heat map.

Yes. Turn on Hide Map Markers and the underlying pins drop away, so only the weighted gradient shows. That keeps the read uncluttered when you present or export, since a dense field of pins can compete with the heat. If you need to filter your points without moving the heat, use Unlink From Other Tools, which holds the weighted layer steady while you narrow the markers underneath.

Yes. Once the weighted heat map reads the way you want, export the map image as a PNG or PDF, up to poster size, for a report or a deck. You can also share a live version through a password-protected link, a public link, or a one-line embed, and presentation mode gives you a full-screen view for a meeting. Everyone who opens the map reads the same weighted heat from the same data.

No. Building a sales-weighted heat map is a matter of menu choices, not GIS training or code. You upload a list with a value column, open the Heat Mapping Tool, choose Represents Numerical Data, and pick the column to weight by. Geocoding handles messy addresses and missing ZIP codes, so you do not prepare the file in a separate system first. Most people have a weighted heat map on screen in their first session, and the US and Canada support team will help if you get stuck.