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

Optional Fields (improve accuracy)

Scoring Framework

Category Weights (default)

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

Fit Score (0-30 points)

Deductions:

Intent Score (0-25 points)

Deductions:

Authority Score (0-20 points)

Timing Score (0-15 points)

Engagement Score (0-10 points)

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:

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

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

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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