Guide
Measure qualified pipeline instead of counting outbound messages
Messages sent measure effort. Qualified leads, conversion at each stage and the cost of a win measure progress, and they are the numbers worth reporting.
The short answer
Track four numbers every month: qualified leads, proposals, wins and the cost of each win. Write down what “qualified” means before you start counting, measure each stage as a share of the one before, and judge the rates over a quarter rather than a week.
Why message counts mislead
Outbound volume is easy to count and easy to inflate. A campaign that doubles its messages and halves its replies looks busy and achieves nothing. What matters is how many conversations become real opportunities, and what each piece of signed work costs to win.
Define a qualified lead
Write the test down before anyone counts: a real need, a budget or funding route, a decision-maker you can reach and a timeframe. A lead that fails the test is not pipeline, however warm the conversation felt.
Measure rates, not totals
Each stage is a share of the one before: reached to lead, lead to qualified, qualified to proposal, proposal to win. Rates show where the funnel leaks. Totals hide it, because a rise in volume can mask a fall in quality.
A worked example
In the illustrative example in the customer acquisition cost calculator, 800 organisations reached in a month produce 48 leads, about 19 qualified leads, about 10 proposals and just under three wins. Sales and marketing cost USD 5,500 a month, so each qualified lead costs about USD 286 and each win about USD 1,910.
Its sensitivity chart moves each rate by five points. The lead rate changes the monthly result more than any other input, because it starts so low: that is where effort pays back first.
Judge over a quarter
Below one win a month, monthly averages swing wildly, and long sales cycles push wins into later months. Use a full quarter of real data before trusting a rate, and before changing the approach.
What this guide does not cover
The calculator assumes rates hold as volume grows, which they often do not. It shows where the funnel leaks, not why.
Responsible for this guide
Examples in this guide are illustrative, not client results. Figures come from the free tool’s worked example; change the inputs in the tool to see your own.
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