Customer Segmentation

Segmentation is only as precise as the data behind it. We make the data precise.

Customer Segmentation

Customer segmentation divides your customer base into meaningful groups based on shared characteristics. But segmentation based on incomplete or inaccurate data creates segments that don't reflect reality. We clean and enrich customer data so your segments are built on solid ground.

You're trying to segment by company size, but 35% of your accounts are missing employee count data. You want to segment by industry, but your industry field has 200 free-text variations of the same 15 industries. Your segments are unreliable because the data they're built on is unreliable.

How We Improve Segmentation Data

Segmentation Outcomes

Common Questions

Can you recommend segmentation criteria or just clean the data?

We primarily clean and enrich the data. However, we can identify which fields in your enriched data have the most variance and clustering potential, which helps you decide which criteria to use for segmentation. For full segmentation strategy, pair our data services with your analytics team.

How do you handle companies that have changed size or industry since they became customers?

We update records with current data. If a customer was a 50-person startup when they signed up and is now a 500-person company, we update the employee count. Your segmentation should reflect who they are now, not who they were when you first met them.

What if our segmentation needs custom fields that don't exist in standard enrichment?

We can build custom enrichment fields. If you need something specific like 'number of retail locations' or 'SaaS vs on-premise vs hybrid deployment model,' we can research and append those custom fields for your customer base. It takes longer than standard enrichment but the data is just as accurate.

Related: All Use Cases | Our Services | Lead Scoring | Territory Planning