Products & Services: Strategy Science for Pharma Sales Force Management

Start allocating your prescription samples more profitably

How well do you believe your sample allocation plan is meeting your business objectives? Is your investment in sampling generating the increased revenue and market share that you think it should? Are you confident that you're not over-sampling and cannibalizing your market?

With Fair Isaac's Strategy Science for Pharmaceutical Sampling, you can quickly build and deploy a plan that's optimized to your goals and competitive landscape, balancing trade-offs between customer impact, revenue, market share and cost. Strategy Science's predictive and decision analytic breakthroughs, as well as its segmentation and simulation techniques, can give you unique benefits:

  • Increase your market share and profitability, your revenue, and realize new pockets of opportunity
  • Quickly build and deploy sample plans specific to your business strategy and current competitive environment with a precise means to make trade-offs between customer impact, sales revenue, market share, and operational expenses.
  • Gain a comprehensive understanding of the effect of new sample plans before they are implemented.
  • Augment your existing investments in data with comprehensive group practice data so you can create greater precision in ongoing predictive and decision modeling and drive more profitable sample plans.

How and why it works

Strategy Science for Pharmaceutical Sampling is a process and platform for developing prescription drug sample plans that are implemented through a pharma sales force (or alternate channels). It leverages our advanced techniques in predictive modeling to gauge physicians' intrinsic likelihood to prescribe a specific drug brand. It also relies on decision modeling to capture a physician's likely prescription behavior in response to varying levels of sampling.

The solution takes into account the potential sharing of samples through group practice environments. This application is installed at your site and empowers your brand managers or supporting market research, sales operations or business intelligence groups to create optimal sample plans that drive maximum prescription volume for any given level of sampling.

This offering can also be a first step to optimizing your overall promotional mix strategies. Fair Isaac can apply this same methodology in evaluating the impact of other channels (or programs within the channel) to determine the overall yield and optimal allocation of market spend across these channels. Strategy Science for Pharma Sampling can be the initial step in a broader engagement that focuses on promotion mix optimization across channels for one or more brands.

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