name	lead-scorer
description	Score and prioritize your leads with AI
version	1.0.0
author	KOINO Capital
license	MIT
tags	["sales","leads","scoring","crm","prioritization","pipeline"]

AI Lead Scorer

Score any lead 0-100 and get a clear action plan. Stop guessing which leads to call first -- let data and pattern matching decide.

Usage

Provide lead information in any format. The more you provide, the better the score:

Required Fields

Field	Example
Lead Name	"Marcus Webb"
Company	"TerraForce Industrial"
Source	"Inbound -- downloaded pricing PDF"

Optional Fields (improve accuracy)

Field	Example
Title/Role	"Director of Operations"
Company Size	"85 employees, ~$12M revenue"
Industry	"Industrial equipment manufacturing"
Interaction History	"Opened 3 emails, attended webinar, asked about pricing"
Budget Signals	"Mentioned Q2 budget approval"
Timeline	"Looking to implement by June"
Pain Points	"Current system requires manual data entry across 4 platforms"
Competition	"Currently evaluating us and 2 competitors"
Notes	"Referred by existing client. Seemed frustrated with current vendor."

Scoring Framework

Category Weights (default)

Category	Weight	What It Measures
Fit	30%	How well do they match your ideal customer?
Intent	25%	How much buying behavior have they shown?
Authority	20%	Can this person actually make or influence the decision?
Timing	15%	Is there urgency or a deadline driving them?
Engagement	10%	How actively are they interacting with you?

You can customize these weights. Just specify your preferred weights and they'll be applied.

Fit Score (0-30 points)

Signal	Points
Company size matches ICP	+5-10
Industry is in your sweet spot	+5-10
They have the problem you solve	+5-10
Geography/market alignment	+2-5
Tech stack compatibility (if relevant)	+2-5
Revenue range matches your pricing	+3-5

Deductions:

Signal	Points
Company too small for your pricing	-5 to -10
Industry you've never served	-3 to -5
No clear problem match	-5 to -10

Intent Score (0-25 points)

Signal	Points
Requested pricing/proposal	+10-15
Mentioned specific timeline	+5-10
Compared you to competitors (means they're shopping)	+5-8
Asked detailed product/service questions	+5-8
Downloaded bottom-of-funnel content	+3-5
Visited pricing page (if tracked)	+3-5
Mentioned budget availability	+5-10

Deductions:

Signal	Points
"Just researching" with no timeline	-5 to -10
Only engaged with top-of-funnel content	-3 to -5
Ghosted after initial contact	-5 to -8

Authority Score (0-20 points)

Signal	Points
C-suite or business owner	+15-20
VP or Director level	+10-15
Manager with budget authority	+8-12
Individual contributor (but champion)	+5-8
Explicitly said "I make this decision"	+5 bonus
Mentioned needing board/committee approval	-3 to -5
Intern or junior role	-5 to -10

Timing Score (0-15 points)

Signal	Points
Actively in buying process NOW	+12-15
Deadline mentioned (contract renewal, fiscal year, event)	+8-12
"Next quarter"	+5-8
"Sometime this year"	+3-5
No timeline mentioned	+1-2
"Maybe next year"	0

Engagement Score (0-10 points)

Signal	Points
Responded within 24 hours	+3-5
Multiple touchpoints (email + call + event)	+3-5
Referred by existing customer	+5 (max)
Engaged with 3+ pieces of content	+2-4
Single interaction only	+1-2
Has not responded to outreach	0-1

Output Format

For each lead, deliver:

1. Score Summary

LEAD: [Name] at [Company]
SCORE: [X]/100
CATEGORY: [HOT / WARM / COLD]
CONFIDENCE: [HIGH / MEDIUM / LOW] (based on how much info was provided)

Category thresholds:

HOT (75-100): Contact within 24 hours. High fit, strong intent, decision-maker, urgent timeline.
WARM (40-74): Nurture actively. Good potential but missing one or more key signals.
COLD (0-39): Low priority. Add to nurture sequence but don't spend active selling time.

2. Score Breakdown

Fit:        [X]/30  -- [1-sentence explanation]
Intent:     [X]/25  -- [1-sentence explanation]
Authority:  [X]/20  -- [1-sentence explanation]
Timing:     [X]/15  -- [1-sentence explanation]
Engagement: [X]/10  -- [1-sentence explanation]

3. Key Signals

List the top 3 positive signals and top 3 risk factors:

Positive:

[Signal 1]
[Signal 2]
[Signal 3]

Risk Factors:

[Risk 1]
[Risk 2]
[Risk 3]

4. Action Brief

Based on the score, provide a specific action plan:

For HOT leads:

Recommended next step (specific, not generic)
Talking points tailored to their pain points
Potential objections to prepare for
Suggested timeline for follow-up

For WARM leads:

What information is missing that would upgrade them to HOT
Specific nurture actions (content to send, questions to ask)
Trigger events to watch for
Re-score date recommendation

For COLD leads:

Why they scored low (honest assessment)
Whether they're worth keeping in the pipeline at all
Automated nurture recommendation
Conditions that would trigger re-evaluation

Batch Scoring

You can score multiple leads at once. Provide a list and receive:

Individual scores for each lead
A priority ranking (sorted by score, descending)
A pipeline summary:
- Total leads scored
- HOT / WARM / COLD distribution
- Average score
- Top 3 leads to contact TODAY

Customization

Custom ICP Definition

If you provide your Ideal Customer Profile, scoring becomes dramatically more accurate:

My ICP:
- Industry: [e.g., "B2B SaaS, $5M-$50M ARR"]
- Company size: [e.g., "50-500 employees"]
- Decision maker: [e.g., "VP Sales or CRO"]
- Budget range: [e.g., "$2K-$10K/month"]
- Key pain: [e.g., "Manual reporting takes 20+ hours/week"]
- Disqualifiers: [e.g., "Under $1M revenue, no dedicated sales team"]

Custom Weight Adjustment

Override default weights for your sales motion:

High-ticket enterprise: Increase Authority to 30%, reduce Engagement to 5%
Self-serve product: Increase Intent to 35%, reduce Authority to 10%
Referral-heavy business: Increase Engagement to 20%, reduce Timing to 10%

Scoring Accuracy Tips

More data = better scores. A lead with just a name and company will get a LOW confidence score. That's honest, not a bug.
Re-score after new interactions. A WARM lead who requests pricing should be re-scored immediately.
Calibrate to your close rate. If your HOT leads aren't closing at 30%+, your scoring weights need adjustment.
Don't ignore COLD leads entirely. 10% of today's COLD leads become next quarter's HOT leads. Automate nurture, don't delete.
Trust the risks section. If the score is high but the risks are serious, investigate before investing heavy time.

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