Traditional choropleth maps typically display a single variable. When two factors need to be compared across locations, this often requires switching between maps, making comparisons difficult.
Bivariate choropleth maps addresses this by:
- Combining two variables into a single visual
- Using color hue and intensity to represent variation
- Revealing how metrics move together across regions
- Highlighting clusters, relationships, and strategic zones
Use Case: Aligning Customer Acquisition Cost (CAC) with Lifetime Value (LTV)
We used a bivariate choropleth map to show CAC and LTV together across U.S. counties. The analysis surfaced:
- Regions with low CAC and high LTV as strong growth opportunities
- Areas with high CAC and low LTV as requiring re-evaluation
- Regions with mixed profiles as having potential but needing further analysis
By combining both metrics in one map, teams gain:
- Faster and more informed decision-making
- Clearer visibility into where to focus efforts
- Reduced visual clutter with more actionable insights
At Perceptive Analytics our mission is “to enable businesses to unlock value in data.” For over 20 years, we’ve partnered with more than 100 clients—from Fortune 500 companies to mid-sized firms—to solve complex data analytics challenges. Our services include Advanced Analytics, Generative AI, and Business Intelligence (Tableau, Power BI and Looker) turning data into strategic insight. We would love to talk to you. Do reach out to us.