Definition
Lead scoring is a method of ranking prospects by their likelihood to convert, based on signals collected across interactions.
In most CRM setups, scoring relies on form fills, page views, and email clicks. Phone calls carry far stronger intent signals, and most scoring models ignore them entirely.
That gap is where invisible revenue hides.
When call data feeds into lead scoring, the model gets access to what a prospect actually said, how long they stayed on the line, whether they asked about price or availability, and how close they were to booking. Those signals rank leads more accurately than click behavior alone.
47% of missed calls never receive a callback. Without call-aware scoring, those high-intent prospects are invisible to follow-up queues.
Convirza draws on the deepest call benchmark corpus in the industry to calibrate scoring thresholds against real conversion outcomes, not assumptions.
For a practical look at how calls get evaluated and scored, see Call Scoring.
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