Case Study
Data-Driven Sales Territory Alignment & Design
How a clinical diagnostics lab replaced guesswork with data-driven territory design using market heat mapping and performance analytics to optimize sales deployment and accelerate revenue growth
The Challenge
A clinical diagnostics lab offering prostate cancer screening needed to understand how to define sales territories based on actual market demand—but their current territory assignments were based on assumptions with no supporting data. Without understanding where demand was concentrated, they risked misallocating sales resources and leaving revenue opportunities uncaptured.
- Industry: Clinical Diagnostics / Cancer Screening
- Services: Market Analysis, Territory Design, Sales Performance Analytics, Resource Optimization
- Timeline: Multi-phase engagement
- Company Type: Clinical diagnostics laboratory specializing in prostate cancer screening
Company Background
The Company is a clinical diagnostics laboratory that provides a specialized screening test for prostate cancer. Unlike traditional prostate-specific antigen (PSA) tests that can produce high rates of false positives and lead to unnecessary biopsies, the Company’s test uses advanced biomarker technology to provide more accurate risk stratification—helping physicians and patients make more informed decisions about whether to pursue biopsy or active surveillance. This differentiated testing approach positioned the Company as a premium option in the prostate cancer diagnostics market, but it also meant that commercial success depended on effective sales deployment to reach the right physicians, urology practices, and healthcare systems.
The Company sold its testing services through a direct sales force that engaged with urologists, primary care physicians, and hospital systems to educate them on the clinical benefits of the test and drive adoption. Sales reps were responsible for building relationships with physicians, navigating hospital procurement processes, and ensuring that once adopted, the test became part of standard clinical workflows. This was a complex, relationship-driven sales process that required significant time investment per account—making efficient territory design critical to maximizing sales productivity.
The Business Challenge
The Company engaged MKA Insights because they wanted to better understand how to define sales territories based on demand for the testing services they provided. The current sales territory assignments had been established based on assumptions—geographic convenience, historical precedent, or rough estimates of market potential—but there was no data to support these assignments. As a result, the Company faced several operational challenges that were limiting growth.
Some sales reps were covering territories with high concentrations of target customers—urologists, large urology practices, academic medical centers—while others were responsible for vast geographic areas with relatively low demand. This imbalance meant that high-potential accounts weren’t receiving adequate attention, while sales resources were being diluted across low-opportunity markets. The Company had no clear visibility into whether territories were sized appropriately, whether sales reps had realistic performance targets, or where incremental sales resources should be deployed to maximize ROI.
Additionally, without data-driven territory design, the Company couldn’t establish meaningful performance benchmarks. Were underperforming reps in weak territories or were they simply not executing effectively? Were top performers benefiting from better territory assignments or were they genuinely more skilled? Without understanding the underlying demand in each territory, it was impossible to answer these questions—making sales management, coaching, and resource allocation decisions essentially guesswork.
The Company recognized that as they continued to invest in sales headcount and expand their commercial footprint, they needed a data-driven approach to territory design that would ensure resources were deployed efficiently, performance expectations were fair and realistic, and the sales organization was structured to capture maximum market opportunity.
Our Approach
01 | Market Demand Analysis & Heat Mapping
We started by conducting a comprehensive evaluation of the US market for the Company’s testing services. This analysis included identifying the number of practicing urologists by state and metropolitan area, mapping the concentration of urology practices and academic medical centers, analyzing prostate cancer incidence rates by geography, and understanding healthcare system dynamics that would influence test adoption. We then created a demand heat map that visualized where the highest concentrations of potential customers existed—showing not just total market size, but the density and accessibility of high-value accounts that would drive the most revenue.
02 | Performance Benchmarking & Gap Analysis
We analyzed the Company’s actual sales performance data to understand how current territory assignments were impacting results. By overlaying performance metrics with the demand heat map, we could identify territories that were underperforming relative to their market potential versus territories that were overperforming given their structural constraints. This gap analysis revealed where sales resources were being underutilized (high-demand territories with insufficient coverage) and where they were being stretched too thin (low-demand territories with disproportionate geographic scope). It also allowed us to establish realistic performance benchmarks based on territory characteristics rather than arbitrary corporate targets.
03 | Territory Redesign & Deployment Strategy
Based on the market analysis and performance benchmarking, we created a revised sales territory map that aligned sales resources with market demand. The new territory design included specific recommendations on where to focus sales resources by state and major metropolitan clusters, optimal sales rep to customer ratios based on account density and sales cycle complexity, and revised performance metrics that reflected the realistic potential of each territory. This redesign ensured that high-opportunity markets received appropriate coverage, that sales reps had territories they could effectively manage, and that performance expectations were fair and achievable—creating a foundation for scalable, efficient sales growth.
The Impact
Data-Driven Territory Design
The Company replaced assumption-based territory assignments with a data-driven framework grounded in actual market demand. Sales leaders now had clear visibility into where demand was concentrated, which territories had the highest growth potential, and how to allocate resources to maximize revenue capture. This shift from guesswork to analytics fundamentally changed how the Company approached sales planning and resource deployment.
Optimized Sales Deployment
By aligning sales resources with market demand, the Company improved the efficiency of its sales force. High-potential territories received appropriate coverage, ensuring that valuable accounts weren’t neglected. Territories were sized based on realistic workload expectations, giving sales reps sufficient time to build deep relationships with physicians and drive adoption. This optimization meant that the Company could generate more revenue with the same headcount—or scale more effectively as they added new sales reps.
Fair & Achievable Performance Metrics
The revised performance metrics gave sales reps realistic targets based on the actual potential of their territories. This created better accountability—underperformance could now be attributed to execution issues rather than structural disadvantages, while strong performance could be recognized and rewarded appropriately. Sales managers could coach more effectively because they understood what “good” looked like in each territory context.
Strategic Growth Roadmap
The analysis provided a clear roadmap for where to invest incremental sales resources. The Company could now prioritize hiring and expansion based on untapped market potential, focusing on states and metropolitan clusters where demand was high but coverage was insufficient. This strategic approach to growth ensured that new hires would be deployed in territories where they could succeed—improving rep retention and accelerating time to productivity.
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