Lead scoring for small teams: a practical guide
Jun 20, 2026 7 min read
How to build a lead score you will actually use, what to include, what to leave out, and how to set the threshold without drowning in alerts.
Short answer
A useful lead score ranks, it does not decide. Score on evidence of intent — an explicit ask, a deadline, a budget mention, a request for contact — and deliberately exclude things that only correlate with intent, like company size. Then set the alert threshold by how many alerts a day you will still read, not by what looks rigorous.

Most lead scoring systems are designed to survive a meeting rather than a Tuesday. They have eleven weighted inputs, a demographic component, and a slide explaining the methodology, and within a month everyone has gone back to eyeballing the list because the scores never disagreed with the obvious answer in a useful way. Here is the version that survives a working week.
Score evidence, not attributes
An explicit request to hire is evidence. A deadline is evidence. Company headcount is an attribute — it correlates with deal size, not with whether anyone wants to buy today. Mixing the two produces a score that ranks big companies who are not buying above small ones who are.
Four axes are enough
Is there a task being described? Is there a constraint like a date or budget? Is the person asking to be contacted? How specific is the ask? Weight them, sum them, normalise to 100. More axes add complexity without changing the ranking much.
Ranking beats classification
Resist the urge to make the score a verdict. The job is to order today's queue so the best thing to do next is at the top; whether an 82 is 'qualified' is a question you do not need to answer.
Set the threshold by attention, not by precision
Work out how many alerts a day you will genuinely read. Set the threshold so you get roughly that many. A more accurate threshold that produces forty alerts has an effective accuracy of zero once you mute it.
Recalibrate monthly
Volume changes. A threshold set in a quiet month floods you in a busy one, and the first sign is that you stopped opening the channel.
Score evidence, not attributes
| Include | Exclude | Why |
|---|---|---|
| Explicit request to hire | Company headcount | Size predicts deal value, not readiness |
| A stated deadline | Industry | Useful for targeting, not for ranking today's queue |
| A budget mention | Job title of the poster | Titles vary; intent language does not |
| A request to be contacted | Follower counts | Correlates with nothing you can act on |
Where thresholds usually land
Illustrative model for a set of groups producing roughly 120 scored posts a day. Model your own with the threshold calculator.
Frequently asked questions
What is lead scoring?
Assigning a number to each lead so you can rank what to work on next. The most useful scores are built from evidence of intent rather than from attributes like company size, which correlate with deal value rather than with readiness to buy.
What should a lead score include?
Whether a task is described, whether there is a deadline or budget constraint, whether the person is asking to be contacted, and how specific the request is. Four axes are usually enough.
How do I choose a lead score threshold?
Start from how many alerts a day you will actually read and set the cutoff to produce roughly that many. A threshold that generates more alerts than you open is worse than a blunter one you act on.
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