Lead Scoring Problems

When sales ignores scores, high-fit leads get missed, or low-quality leads crowd the pipeline—the scoring model is broken.

Signs of Scoring Failure

Sales Ignores Scores

Reps work around the scoring system because it doesn't reflect reality. They rely on gut feel instead of data.

Model Decay

Scores set up once and never updated. Buying signals, intent data, and fit criteria change but the model doesn't.

Missing Context

Scores based on form fills only—missing behavioral signals, engagement patterns, and buying intent.

What Goes Wrong

Over-weighted demographics: Firmographic fit scores that don't account for buying readiness.
Under-weighted behavior: Intent signals and engagement patterns not factored in.
No feedback loop: Scores never calibrated against actual conversion outcomes.
Black box logic: Sales doesn't understand why a lead has a certain score.

Building Scoring That Works

Effective lead scoring combines fit (demographics, firmographics) with intent (behavior, engagement, buying signals). It requires ongoing calibration against conversion outcomes and transparency so sales trusts the output.

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