Fractional Uplifts
Sales Leadership Operating System·Forecasting & Planning

Sales Forecast Calculator

Build a bottoms-up revenue forecast from your actual base. Account for every customer you lost, every one you added mid-year, your pipeline, and the macro factors that move the number.

Retained base + churn Mid-period prorations Run rate, inflation, price Probability-weighted pipeline

Forecast Period

How many months are you forecasting?

Prior Period Revenue

Your total revenue for the last full period — the baseline everything is measured against.

$

Known Lost Customers

Customers you know you've lost or will lose. Revenue is prorated — a customer lost in month 3 costs you 9 months of revenue, not 12.

Mid-Period New Customers

Customers already won this period. Revenue is prorated from the month they came on board — a customer acquired in month 4 contributes 9 months of revenue.

New Customer Pipeline

Prospects not yet closed. Each deal is probability-weighted and prorated from expected close month. A $100K deal at 60% closing in month 6 contributes $35K to a 12-month forecast.

Rate Adjustments

Applied to your retained customer base. Use negative values for declines.

%

Organic volume change

%

Cost pass-through

%

Deliberate price action

Forecast Result

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Enter your prior period revenue above to see your forecast.

Need help building a defensible forecast?

A fractional sales manager can build the forecast model, run the pipeline review, and hold the team accountable to the number.

Talk to Leaman

How the math works

Retained base

(Prior revenue − lost customer annual value) × (period months / 12)

The revenue you can count on from customers you're keeping, scaled to the forecast period.

Lost customer impact

(Annual revenue / 12) × months remaining after loss month

You don't lose the full year — only the months after they left. A customer lost in month 3 costs 9 months of revenue.

New customers (mid-period)

(Annual revenue / 12) × months active from acquisition month

A customer acquired in month 4 contributes 9 months of revenue in a 12-month period.

Pipeline (probability-weighted)

(Annual revenue / 12) × months active from close month × close probability %

Each deal is discounted by its probability and prorated from expected close. A $100K deal at 60% closing in month 6 = $35K.

Run rate adjustment

Retained base × run rate change %

Applied to the retained base only. Captures organic volume changes in existing accounts.

Inflation & price increase

Retained base × rate %

Both applied to retained base. Inflation = cost pass-through. Price increase = deliberate action. They stack.