Rethinking Targeting and Sales Force Deployment in Modern Pharma

Targeting has always been central to pharmaceutical commercial strategy. Deciding where to deploy the field force, how to segment markets, and how to prioritize customers directly influences growth, efficiency, and long term sustainability. Yet, as markets become more complex and heterogeneous, targeting has also become one of the most challenging decisions for Commercial Excellence teams.

What once relied on broad territory definitions and historical performance now demands far greater precision. Diverse city level dynamics, uneven healthcare access, evolving prescriber behavior, and increasing pressure on productivity have made traditional targeting approaches insufficient.

The Challenges with Conventional Targeting Models

Many pharma organizations still rely on static territory structures that were created years ago and adjusted incrementally over time. These structures often fail to reflect the true market potential at a granular level.

Commercial Excellence teams face multiple constraints. Data required for scientific targeting is scattered across sources such as sales history, prescription data, market research, and secondary sales. In the absence of analytical expertise or structured frameworks, decisions are often based on intuition, legacy assumptions, or limited datasets.

Another challenge lies in scalability. As field forces grow beyond a few hundred representatives, manually evaluating territory balance and productivity becomes impractical. Overcovered territories coexist with underserved markets, leading to inefficiencies, missed opportunities, and uneven workload distribution.

Without a robust, analytical approach, targeting decisions risk being reactive rather than strategic.

Introducing Contour by Gregor Analytics

Contour was developed to address these exact challenges.

It is an analytical service module designed to help pharma organizations scientifically assess market potential, define customized territories, and optimize sales force deployment. Rather than offering a one size fits all solution, Contour adapts to the specific commercial context of each organization.

Built on Gregor Analytics’ deep experience in healthcare data and commercial analytics, Contour bridges the gap between raw data and actionable targeting decisions.

How Contour Works

Contour begins with market potential mapping at a granular level. Using diverse data points such as historical sales, prescription trends, demographic indicators, and market access variables, the service assesses potential at the city or micro market level.

This data is then analyzed to define logical territory clusters that balance opportunity, workload, and feasibility. The process ensures that territories are neither overextended nor underutilized, allowing representatives to focus their effort where it matters most.

Contour also supports target setting by aligning potential with achievable goals. Commercial teams can evaluate different deployment scenarios and understand how changes in field force size or coverage strategy impact overall productivity.

While currently delivered as an analytical service, Contour is designed with a future SaaS transition in mind, ensuring scalability and repeatability as organizational needs evolve.

Key Benefits for Commercial Excellence Teams

For Commercial Excellence teams, Contour introduces rigor and transparency into targeting decisions. It replaces fragmented analyses and manual exercises with a structured, data driven framework that can be revisited as markets change.

Sales leadership benefits from clearer visibility into deployment logic. Territory assignments are backed by evidence, making them easier to communicate and defend. This often improves acceptance across the field force and reduces friction during restructuring exercises.

At an organizational level, Contour helps improve overall productivity. By aligning sales force deployment with true market potential, companies can unlock growth without necessarily increasing headcount.

Real World Impact

In practice, organizations that have engaged with Contour have been able to uncover hidden opportunities in underpenetrated markets while identifying areas of overcoverage. In one case, a company with a large field force was able to rebalance territories across cities, resulting in improved coverage and more realistic target setting without expanding the team.

In another scenario, leadership used Contour’s analytical insights to support a restructuring exercise during a portfolio shift. The data backed approach reduced internal debate and enabled faster execution.

Across engagements, the consistent outcome has been greater confidence in targeting decisions and better alignment between strategy and execution.

Building Targeting Strategies for the Future

As pharma markets continue to fragment and competition intensifies, targeting and deployment decisions will only grow in importance. Static models and intuition based approaches are no longer sufficient.

Contour by Gregor Analytics helps organizations move toward scientific, adaptable targeting strategies that evolve with the market. By combining analytical depth with commercial understanding, it supports teams in making decisions that are not only data driven, but also practical and sustainable.