Which incentive method uses past performance in a territory to set a forecast for prescriptions and pays bonuses for exceeding that forecast?

Which incentive method uses past performance in a territory to set a forecast for prescriptions and pays bonuses for exceeding that forecast?

• A. Market share
• B. Actual Sales
• C. Actual Sales vs Forecast Sales
• D. Autonomy

Answer: (C)

The idea being tested is tying pay to performance against a forecast. This method uses the territory’s past performance to set a forecast for prescriptions, and then rewards reps with bonuses when their actual sales exceed that forecast. It creates a clear, objective target derived from historical data, so reps know exactly what they must beat to earn additional compensation. It aligns effort with growth in that specific territory and provides a straightforward incentive: push prescriptions and go beyond the set forecast to earn more. Why this fits best: using a forecast based on prior performance gives a reasonable, data-driven baseline that reflects the territory’s potential. Bonuses are earned only when actual results surpass that baseline, which keeps the incentive tightly focused on improving performance relative to expected activity rather than just achieving high absolute sales or chasing market share. Why the other approaches don’t fit as well: market-share incentives focus on a portion of the overall market rather than a forecasted target for a specific territory; they don’t hinge on a forecast-based benchmark. rewarding actual sales without a forecast lacks a defined target, so it doesn’t drive improvement against a planned expectation. autonomy is about independence or discretion, not a structured forecast-based payout.

The idea being tested is tying pay to performance against a forecast. This method uses the territory’s past performance to set a forecast for prescriptions, and then rewards reps with bonuses when their actual sales exceed that forecast. It creates a clear, objective target derived from historical data, so reps know exactly what they must beat to earn additional compensation. It aligns effort with growth in that specific territory and provides a straightforward incentive: push prescriptions and go beyond the set forecast to earn more.

Why this fits best: using a forecast based on prior performance gives a reasonable, data-driven baseline that reflects the territory’s potential. Bonuses are earned only when actual results surpass that baseline, which keeps the incentive tightly focused on improving performance relative to expected activity rather than just achieving high absolute sales or chasing market share.

Why the other approaches don’t fit as well: market-share incentives focus on a portion of the overall market rather than a forecasted target for a specific territory; they don’t hinge on a forecast-based benchmark. rewarding actual sales without a forecast lacks a defined target, so it doesn’t drive improvement against a planned expectation. autonomy is about independence or discretion, not a structured forecast-based payout.