Lead scoring

How to create an ideal customer profile from the customers who stayed, which parameters to keep, and how to test it on deals you already closed.

How to find qualified leads: search on the facts in your ICP, score each lead against it with the reasons shown, and email only the strong fits.

ICP vs persona in plain terms: the ICP picks which companies to sell to, the persona picks who to write to there, with a worked outbound list.

An ideal customer profile example filled in field by field, five more by industry, and the rubric that turns each one into a score you can check.

An ideal customer profile template B2B teams can copy: eight fields, a filled-in example, the questions behind each, and how to score accounts on it.

A lead scoring template you can copy: 12 criteria on a 100-point scale, three bands, Excel formulas, and four leads scored through it.

PQL vs SQL in one table: who makes each call, how a product qualified lead turns into a sales qualified lead, and where to route each one.

HubSpot lead scoring best practices from real portals: separate fit and engagement scores, points from conversion data, and a score that triggers work.

Buying signals examples by type, from funding and hiring to plan changes and support tickets, with the move each one should trigger.

B2B lead scoring explained: the three model types, a worked example that adds up, and why most models fail on their inputs, not the math.