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Plum Lead Score

Import & Score

Upload a list, everything else is automatic

No manual entry — every field the model needs comes straight from your list. Nothing is left unfilled.

How this works, in short:
  • Every weight comes from checking 16,359 real historical leads against what actually closed — not intuition.
  • Hot ≈ 79% of similar leads have historically closed. Warm ≈ 49%. Cold ≈ 13%.
  • A lead's score rises automatically once real engagement happens (a meeting gets booked, a call gets logged) — it isn't fixed at import.
Import your leads
Required columns: Company Employees Count Original Source Lead Record Type Recently Funded — same names as your Salesforce export. Optional: Original Source Drilldown 1, Sessions, Visited High Intent Page, Has GST.
Lead Board

Every imported lead, sorted by band

Everything from the last import, scored and banded. Click a card to open it in the walkthrough.

Decision Logic

The rules, in full

Every gate and point value, plus a simulator that runs on leads already on your board — not a hypothetical.

Eligibility gates

Hard checks before any scoring. Fail one and the lead is filtered — never scored, never contacted.

GateRule
SizeDomestic <7 employees; Foreign HQ <3 (ESC/ESCP) or <7 (E-only)
SetupNo GST/entity/bank account on record (assumed true if not stated)
SourceOnsurity → routed to rollover queue, never scored fresh
Industry / workforce / proprietorshipExcluded industries, contractor-only workforce, unqualified proprietorships

Points

Backtested against real Closed Won/Lost outcomes. See lead-score-v1.js for the full derivation.

SignalGroupPoints
Employees 7–15Fit+40
Employees 16–50Fit+15
Employees 51–500Fit−10 to −20
Fresh leadFit+25
Rollover leadFit−25
Recently fundedFit+20
Direct Traffic sourceFit+15
Non-brand Paid SearchFit−10
3+ sessions / visited pricing pageFit (provisional)+8 / +10
SPOC-arranged meetingEngagement+20
Client self-booked meetingEngagement+10
Call loggedEngagement+25
BandScoreBacktested win rate
Hot≥ 7578.7%
Warm35–7448.6%
Cold< 3512.6%

Simulate an action

"What would happen if we did X to a group of leads we already have — before we actually do it." Pick a real segment from your imported board, pick an action, and see the projected before/after using the real band win rates above. Import a list first if you haven't.