lead-scorer

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."

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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

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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

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Batch Scoring

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

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

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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%

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Scoring Accuracy Tips

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

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Powered by KOINO Capital -- AI systems that fill your pipeline and close your deals.