The prospecting math nobody tells you about

I'm going to do something risky in a blog post: a little bit of math. Stay with me, because this is the single thing that took my prospecting from anxious guessing to something I could actually forecast.

Here's the whole idea. Every pipeline is just a chain of percentages. Businesses researched, times qualify rate, times meeting rate, times close rate, equals customers. Once you know your numbers, you stop asking "is this working?" and start asking "which number do I fix?"

A worked example

Say you research 500 well-targeted businesses. A 6% qualify rate is 30 real opportunities. If a third of those turn into a conversation, that's 10 meetings. Close a third of those and you've got roughly 3 new customers from one batch. Now the magic: you don't need to research more businesses to double that. You need to move one percentage.

• Better targeting lifts your qualify rate - the highest-leverage lever, and the one everyone ignores in favor of volume.
• Better qualification lifts your meeting-to-close rate, because you're talking to people who can actually buy.
• Re-checking your markets lifts the qualify rate again, quietly, because most businesses only become a fit after something changes.

Why I care about the inputs, not the output

When a batch underperforms, the amateur reaction is "add more names." The professional reaction is to look at where the funnel leaked. Few qualified? Your list or your criteria. Qualified but no meetings? Your ask or your timing. Meetings but no closes? You're talking to the wrong people, or your offer isn't landing.

This is the quiet reason scoring matters so much to me. When every business comes pre-scored for fit and intent, your qualify and close rates go up without adding a single extra name. The math bends in your favor before you open a tab.

You don't need a spreadsheet degree. Track four numbers - researched, qualified, met, closed - for one month. I promise you'll never run prospecting on vibes again.