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Why Did a Lead Score Low (or High)? Fit Score Troubleshooting

Wrong-looking fit scores almost always trace back to persona sharpness. Diagnose the exact cause in this symptom-by-symptom guide.

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If a fit score looks wrong, the cause is almost always one of five patterns — and all five are fixable in minutes. Fit scores are computed against your persona criteria, so the fastest way to better scores is a sharper persona, not a different lead list.


Symptom → cause → fix

SymptomMost likely causeFix
Scores cluster in the middle, feel randomPersona too thin — few criteria definedFill in the persona details; every "—" factor is an unscored dimension
High score, obviously wrong industryPersona has no industry criterion, so industry is not scoredAdd the industry detail to the persona
Everything comes back "Not A Fit"Lead source has empty or minimal profiles, or exclusions are too aggressiveCheck lead list quality; review your persona exclusions
Right person, wrong company gets high scoresCompany-fit criteria missingDescribe which companies need your offering in the persona and campaign solution
Scores changed after I edited the personaWorking as designedPersona edits apply live to leads not yet contacted

Why do sharp personas produce sharp scores?

The AI can only evaluate criteria you defined. A two-line persona gives the AI two lines to score against — everything else defaults to guesswork. A fully detailed persona activates every factor group (profile, responsibility, buying process, company fit) and produces scores you can act on. The 36-detail persona guide shows exactly which details drive scoring.


How do exclusions affect scoring?

Exclusions are hard filters, not preferences. A lead matching an EXCLUDES criterion is removed regardless of how well everything else matches. If too many good leads are excluded, your exclusions are broader than you think — review them one by one.


The 5-minute persona sharpening checklist

  1. Open Agent → Personas and pick the persona behind the campaign.
  2. Fill every empty targeting detail (each one activates a scoring factor).
  3. Add company-fit context: which companies need this offering, and why.
  4. Review EXCLUDES — remove any exclusion you cannot justify in one sentence.
  5. Save. Scoring updates automatically for leads you have not contacted yet.

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