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Quick Reference Guide

LOCATION CLUSTERS

Location Clusters allow you to automatically group your records into intelligent geographic segments. Instead of manually drawing territories or eyeballing density patterns, Mapline uses spatial logic to create balanced, optimized clusters for you. This is especially powerful when you need to divide locations for sales reps, field teams, delivery zones, or regional analysis. Whether you’re reducing travel distance or balancing workload, clustering transforms scattered pins into structured strategy. It’s fast, dynamic, and built directly into your dataset.

WHAT ARE LOCATION CLUSTERS?

Location Clusters are Geo-Enriched Data Columns that automatically group your dataset records into geographic clusters based on distance, distribution, or data values. Unlike manually created territories, clusters are generated algorithmically using optimization logic. This means you can quickly create evenly distributed zones without hand-drawing boundaries. Clustering is ideal when you need to divide locations into manageable segments for routing, coverage planning, workload balancing, or performance analysis. Because clusters are written into a dataset column, they can remain dynamic and update automatically as your data changes.

Use Location Clusters when:

  • You need to divide hundreds (or thousands) of locations into balanced regions
  • You want to minimize travel distance between grouped records
  • You need equal workloads across teams
  • You want to segment by value, revenue, or other metrics
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Pro Tip: If you’re unsure which clustering method to use, start by asking what you’re actually trying to balance. If you need equal geographic coverage, optimize by minimizing distance. If you need fair workload distribution, balance by number of pins. If revenue, service hours, or opportunity size matters most, cluster by total value.

Choosing the right logic upfront ensures your clusters reflect real operational priorities, not just evenly spaced pins.

ADD LOCATION CLUSTERS

To add Location Clusters, open your dataset and click the blue + (plus) sign in the top menubar. Select GEO-ENRICHED COLUMN, then choose Location Clusters from the Geo-Enriched Data dropdown. Next, let’s configure how you want your clusters generated. We’ll start with how you want to cluster your locations.

Mapline Coverage Areas lightbox, with the radius section highlighted

PROVIDING A NUMBER OF CLUSTERS

If you select Providing a Number of Clusters, Mapline will divide your locations into a specific number of geographic groups that you define. This is ideal when you already know how many territories, teams, or service zones you need to create.

OPTIMIZE BY

Next, choose how Mapline should optimize cluster creation:

  • Minimizing Distance to Cluster Center Points: Groups locations to reduce overall geographic spread within each cluster.
  • Balancing the Number of Pins in Each Cluster: Ensures each cluster contains a similar number of records.
  • Balancing the Total Column Value of Each Cluster: Distributes a selected numeric value evenly across clusters (for example, revenue, opportunity size, or workload). If you choose this option, select your desired column from the COLUMN drop-down.
Screenshot of a purple radius circle on a grayscale map. Four blue pins and one yellow pin lie within the circle. Two blue pins lie outside of the circle.

CLUSTERS

Next, enter the total number of clusters you want Mapline to generate. This number typically reflects how many territories, teams, vehicles, or service regions you need to create. If necessary, apply filter criteria to limit clustering to a specific subset of records before clusters are calculated. Finally, choose whether you want clusters to refresh automatically when your data changes or update manually, then click OK to generate your cluster column.

Screenshot of a purple radius circle on a grayscale map. Four blue pins and one yellow pin lie within the circle. Two blue pins lie outside of the circle.

PROVIDING A TOLTAL VALUE FOR EACH CLUSTER

If you select Providing a Total Value for Each Cluster, Mapline will generate clusters that balance a specific numeric value across each group instead of simply balancing the number of locations. This is ideal when workload, revenue, or opportunity size matters more than pin count.

To configure:

  • Equalize By: Select the numeric dataset column you want to balance across clusters (for example, revenue, number of accounts, service hours, or opportunity value).
  • At Least / At Most: Choose whether each cluster should contain at least or at most a specified total value.
  • Input Total Value: Enter the target value Mapline should use when distributing records into clusters.

This method ensures each cluster carries a similar level of total business value rather than simply containing a similar number of pins.

Screenshot of a purple radius circle on a grayscale map. Four blue pins and one yellow pin lie within the circle. Two blue pins lie outside of the circle.

DO MORE WITH YOUR CLUSTERS

Once created, your clusters are added as a new dataset column, making them instantly usable across Mapline. Because the results live in your dataset, you can map them, filter by them, and build workflows around them without exporting anything.

  • Assign clusters to specific sales reps, service teams, or delivery groups to distribute workload.
  • Use clusters as territory zones for routing, scheduling, and daily planning.
  • Visualize cluster performance in dashboards by comparing totals, coverage, or outcomes.
  • Segment outreach and marketing activity based on geographic groupings and density patterns.

Location Clusters turn scattered locations into organized, optimized structure, helping you move from raw data to actionable territory strategy in seconds.

Sales territory mapping: the key to higher ROI with audience segmentation
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