CAPABILITY · LEAD SCORING

Every Score Comes With a Receipt

LeadScore AI grades every lead against your ideal customer profile — then shows the evidence. Fit, intent, and a plain-language verdict your reps can read out loud on a call.

Ridgeline Manufacturing Co.
DWIGHT POWELL · MANUFACTURING · CLEVELAND, OH
94FIT A · HOT
Why this scorePOLICY v4 · SCORED 2:41 PM
+18
ICP match: commercial manufacturing
120 employees · 3 locations · matches your best customers
APPLIED
+14
Two-way email thread
Replied twice in 3 days, positive sentiment, mentioned budget
APPLIED
+12
Verified contact info
Email verified · mobile number valid and SMS-reachable
APPLIED
+9
Hiring signal
2 installer roles posted in the last 14 days
APPLIED
+6
Meeting booked
Demo scheduled for Thursday 10:00 AM
APPLIED
0
Website reachability
Skipped — already verified this week (cached)
SKIPPED
-4
Pipeline timing
Sat in “Contacted” 9 days — slightly past the stage window
APPLIED
VERDICT: PURSUE NOWCONFIDENCE: HIGH
Best angle: they're hiring installers and replied twice this week.
HOW IT WORKS

From Raw Record to Ranked Call List

Scoring runs in tiers — cheap checks first, deeper research only when it's worth it.

1

Resolve the Context

B2B, B2C, or hybrid — the engine picks the right rules for the lead's profile and industry, and skips the ones that don't apply.

2

Grade the Fit

Your ICP, benchmark customers, and firmographics produce a fit grade from A to D. Ideal-customer lookalikes rise to the top.

3

Read the Intent

Replies, call outcomes, meetings, and timing set the intent band — hot, warm, cold, or dormant. Old enthusiasm decays; fresh signals count more.

4

Deliver the Verdict

Score, grade, band, and a plain-language verdict — pursue, nurture, or disqualify — with every piece of evidence attached.

WHAT YOU GET

Scoring Your Team Can Actually Trust

A number nobody can explain gets ignored. Ours shows its work.

ICP-based Scoring
Score every lead against your ideal customer profile — not a generic B2B template.
Fit Grade + Intent Band
A–D fit and hot/warm/cold/dormant intent, combined into a quadrant so reps know both who and when.
Written Explanations
Every score run keeps its receipt: which rules applied, which skipped, and the evidence behind each point.
Recency Decay
A great call from last week matters more than one from last quarter. Signals cool off automatically.
Manual Overrides That Stick
Reps can pin, boost, mark hot or cold, or disqualify — visibly, with a reason, and it survives rescoring.
Do-Not-Contact Protection
Opt-outs and DNC notes suppress outreach automatically. A high score never overrides consent.
Custom Rules and Weights
Tune what matters for your business. Add disqualifiers, adjust weights, and dry-run changes before publishing.
Outcome Learning
Mark leads booked, wrong fit, or closed — the model gets sharper on your real results.

Put a Score You Can Defend on Every Lead.

Import your list and see your first scored pipeline in minutes.

FAQ

Frequently Asked Questions

Where does the score come from? +

From your scoring policy: contact quality, data completeness, ICP fit, benchmark similarity, engagement, conversation quality, and timing — each contributing visible, weighted points.

Can I change how scoring works? +

Yes. Weights, rules, disqualifiers, and thresholds are all configurable, and you can test changes against sample leads before they go live.

What happens when a lead says do not contact? +

The lead is suppressed. It keeps its score and its history, but automated outreach stops — compliance beats sales urgency, every time.