Lead Scoring Built for How MOps Actually Works
Not a simplified point system. A full multi-variate scoring engine that reflects the real complexity of how your buyers behave and how your business is structured.
Score on behavior, demographics, firmographics, CRM data, and engagement signals — in any combination. Run multiple scoring rulesets simultaneously. Trigger automated actions the moment a threshold is crossed. Know exactly what happened, when, and why.
Score on Anything
Any data point. Any combination. Any rule.
Because Paminga's Audience Builder lets you segment on anything, lead scoring inherits that same depth. Any data point Paminga knows about a contact can drive a scoring rule — website activity, email engagement, form submissions, video engagement, UTM source, CRM field values, opportunity data, and more.
Positive rules increase score as contacts engage. Negative rules decrease score as contacts go cold or exhibit disqualifying behavior. Qualification criteria define conditions contacts must meet before their score counts at all.
Most platforms make you choose between behavioral and demographic scoring. Paminga runs both simultaneously — and lets you combine them into a single model however your business logic requires.
Any data Paminga knows, scoring can use. That includes custom objects, CRM opportunity data, UTM parameters, video engagement events, and more.
Score Types
Five dimensions. One complete picture.
Paminga tracks multiple score dimensions for every contact — giving you a complete picture of lead quality, not just a single number that collapses everything into one opaque value.
Total Score
Combined score across all active rulesets for a contact.
Contact Score
Based on demographic and firmographic data. Who they are.
Activity Score
Based on behavioral engagement. What they've done.
Engagement Score
Based on recency and frequency. How active they are right now.
Manual Score
Applied directly by a user — for sales-sourced signals that don't fit a rule.
Multiple Scoring Rulesets
One model is never enough.
Most platforms give you one scoring model. Paminga lets you run multiple rulesets simultaneously — each with its own rules, thresholds, and actions. Score by product line. Score by division. Score by market segment. Run separate models for new business and expansion. Run experimental models in parallel with your production model without disrupting live scoring.
Tier
Rulesets Supported
Best For
Plus
1
Single scoring model for teams getting started with lead scoring
Pro
3
Multiple product lines, segments, or experimental models alongside production
Enterprise
10
Complex multi-division, multi-segment programs with independent models per business unit
Score Decay
Scores that reflect reality — not history.
Lead scores that never decay give you an inaccurate picture of lead quality over time. A contact who was highly engaged six months ago and has gone completely dark shouldn't score the same as one who's actively engaging today.
Paminga's decaying lead scores automatically reduce scores over time based on rules you define — keeping your scoring model honest and your MQL thresholds meaningful.
Available on Pro and Enterprise tiers. Define your own decay rate and logic — Paminga applies it automatically on the schedule you set.
Threshold-Triggered Actions
Actions live in the scoring model. Not somewhere else.
Threshold actions are built directly into the lead scoring object — not a separate workflow, not a secondary automation you have to maintain alongside your scoring model. Define your thresholds and your actions in one place. They stay together.
When a score crosses a threshold upward
When a score drops below a threshold
Conditional actions let you customize what triggers based on the contact's state — score, status, geography, or any other field. So not every threshold crossing triggers the same response.
Complete Audit Trail
No black box. No guessing.
Every scoring change is recorded in the Activity Stream for every contact — which rule fired, what the score was before and after, and when it happened.
Rule fired: "Visited Pricing Page (3x in 7 days)" — Score increased from 42 → 57
Today at 9:14 AM · Activity Score · Ruleset: New BusinessRule fired: "No email engagement in 30 days" — Score decreased from 57 → 44
Yesterday at 11:02 PM · Engagement Score · Ruleset: New BusinessThreshold crossed upward: Score reached 80 — CRM opportunity created, lead owner alerted
3 days ago at 2:31 PM · Total Score · Threshold: MQLManual score applied: +15 by Amanda Case — "Met at Summit, strong intent signal"
5 days ago at 4:05 PM · Manual ScoreSee It in Action
See how Paminga's lead scoring engine handles the real complexity of your programs.
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