FREE TOOL
Lead Scoring Model Builder
Build a lead scoring model (Profile + Engagement), add Deductions, visualize in a matrix, and export CSV/JSON for implementation.
| Signal | Rule / Definition | Points | Cap | Recency |
|---|
Deductions
Negative signals that reduce score (non-ICP, spam complaint, hard bounce, etc.).
| Deduction | Rule / Definition | Points | Cap |
|---|
Tip: caps prevent repeat behaviors from inflating score. Deductions should usually be stronger than any single engagement action.
Estimated max score
—
Based on caps across Profile + Engagement (Deductions applied at runtime).
Profile weight
—
Engagement weight
—
Deductions weight
—
Thresholds
MQL
Marketing-qualified lead
SQL
Sales-qualified lead
VISUALIZATION
Lead scoring matrix
Use Profile Fit × Engagement to route leads and set action rules.
High Profile / High Engagement
Route to Sales (SQL). Fast follow-up + SLA.
High Profile / Low Engagement
Nurture. Educate + trigger-based sequences to build intent.
Low Profile / High Engagement
Qualify. Confirm fit; route to SDR/ops if relevant.
Low Profile / Low Engagement
Low priority. Keep in light nurture; don’t burn sales time.
You can click each quadrant text to customize the routing rule.
EXPORT
Share & implement
Copy a clean spec for the ops team, or export CSV/JSON.
Calibration checklist
- Start simple. After 2–4 weeks, compare scored leads vs SQL rate and adjust.
- Use recency windows on Engagement signals to avoid “old intent” inflating score.
- Make Deductions meaningful (spam complaint, hard bounce, non-ICP = strong negatives).
