Lead Scoring Calculator
Rate a lead against eight criteria, weighted the way your business actually sells. You get a score out of 100, a tier, and the next action.
Rate this lead against each criterion. The weights you set control how much each one counts.
Fit: who they are
Static attributes of the account and the person. These rarely change between touches.
Behaviour: what they did
Signals that decay. A lead that engaged four months ago is not a lead that engaged yesterday.
Read on this lead
Fit and intent are both present. This one has earned a real human touch rather than a slot in a queue.
How this works
Why fit and behaviour are scored separately
A single blended score hides the only distinction that changes what you do next. An account that matches your ICP perfectly but has never engaged needs outbound. An account that engages constantly but does not match your ICP needs disqualifying, or an honest review of whether your ICP is drawn too tightly. Blend those two into one number and both leads can land at 55, which tells a rep nothing.
How the weighting works
Each criterion has a weight from 0 to 10 and a rating from 0 to 5. The score is the weighted points earned divided by the weighted points available, so the result always sits on a 0 to 100 scale no matter how you set the weights. Doubling every weight changes nothing, which is the point: weights set the relative importance of criteria, not the size of the score. The fit and behaviour numbers are the same calculation run on each half of the model. Setting a weight to 0 removes that criterion entirely, which is the right move for anything you cannot reliably observe, and zeroing every criterion in a half leaves that half with no score to report rather than a misleading 0.
Picking your thresholds
The default tiers break at 75, 50, and 28. Those are starting points, not laws. Score thirty of your recent closed-won and closed-lost deals with the same weights, then move the thresholds until the closed-won cluster sits above your Hot line. If everything scores between 50 and 65, your weights are too even: real scoring models are lopsided because real buying decisions are.
Running this continuously instead of one lead at a time
A calculator scores the lead in front of you. The harder problem is rescoring every lead in your database each time someone opens an email, changes job, or their company starts hiring. That is what lead scoring inside a CRM is for: the weights live in a workflow, the ratings update themselves from enrichment and engagement data, and the tier drives routing without anyone opening a spreadsheet.