Balance sales territories in Population Explorer using population, income, and POI data to ensure fair coverage across regions.
Overview
Sales territory maps balanced with demographic data ensure that each rep or region has equitable opportunity and workload. In Population Explorer, you can analyze existing territories against core datasets such as LandScan and WorldPop population estimates, income levels, and Google POI distributions. This allows you to create territories that are both geographically logical and demographically fair.
Traditional methods of balancing rely on sales or revenue data alone, which often fails to capture market potential. By using demographic filters within Population Explorer, you can refine territories based on household income, population density, or proximity to key points of interest. This creates territories that reflect both demand potential and competitive landscape. Balancing franchise territories, maximizing insurance coverage and mapping cell tower coverage all use similar workflows.
Step-by-Step
1. Open Your Territory Folder
Select the folder containing your current territories in the left drawer. Each folder automatically summarizes the combined population and income of its shapes.
2. Compare Demographics
Click through each shape to visualize demographic distributions across your territories.
3. Use Filters to Identify Imbalances
Open the Filter panel and set population or income thresholds to isolate over- or under-performing territories.
4. Adjust Boundaries
Edit or move shapes to redistribute coverage areas. For example, expand low-population territories or reduce high-density ones to achieve parity. Be mindful of classic sales territory mistakes before finalizing boundaries.
5. Verify and Export
Once balanced, click Export and choose Excel (.xlsx) or KML (.kml) to share results or update your CRM.
Verification
Ensure that all folders now reflect comparable total populations and income levels. Review demographic overlays visually to confirm balanced coverage.
Next Steps
Learn how to Use Isochrones for Catchments to assess travel times.
See Exporting Your Data for supported output formats.
Need More Help?
If you run into issues, please contact us.
Explore expert articles, eCommerce guides, and the latest updates to help your business grow smarter and sell better with Unistore.
May 14, 2026
São Paulo Retail and Franchising: Emerging Retail Corridors Beyond the City’s Established Commercial Centers
São Paulo’s strongest retail opportunities may not emerge from its most established commercial centers. Using high-resolution population forecasts, ambient population analysis, retail density, and drive-time territory mapping, this analysis explores how customer growth and retail competition are beginning to diverge across several secondary corridors in the broader São Paulo metro.
May 12, 2026
55 U.S. Metros Ranked by Ambient Population Growth (2016–2024)
Ambient population measures where people actually concentrate throughout the day across work, commuting, tourism, logistics, and commercial activity. This report analyzes ambient population growth trends across 55 major U.S. metros between 2016 and 2024 using LandScan data, revealing how patterns of human activity have shifted beyond residential population growth alone.
May 11, 2026
Site Selection Analysis: Is Cape Town’s New R650m Mall in the Right Location?
Cape Town’s new R650 million GrandWest Mall development sits less than 10km from Canal Walk, one of Africa’s largest shopping malls. At first glance, the location appears risky. But drive-time catchment analysis tells a very different story. This analysis explores how primary, secondary, and tertiary retail trade areas shape competition, customer accessibility, and mall performance, and why geographic distance alone can be misleading in retail site selection.
