TL;DR: AI lead qualification scores on firmographic data, behavioral signals, engagement patterns. CRM + Claude API + automation platform. One week setup. 50%+ more time on qualified leads, 15-30% conversion increase.
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Finite sales hours. Every hour on a dead lead = hour not closing a live one. AI scores every lead at pipeline entry. No gut feelings. Data.
## What It Does
Dynamic scoring considering: firmographics (size, industry, revenue), behavior (pages, downloads, emails), engagement patterns (response speed, interactions), historical conversion patterns, timing signals (budget cycles, hiring, tech changes).
## One-Week Setup
### Day 1-2: Ideal Customer Profile 12 months closed-won deals: industries, sizes, titles, cycle length, content engagement. Plus closed-lost anti-patterns.
### Day 2-3: Data Collection Website behavior (analytics + marketing platform). CRM data (company, interactions, email). Email metrics (opens, clicks, replies, sentiment).
### Day 3-4: Scoring Pipeline n8n: new lead trigger > aggregate data > Claude API scores 1-100 with reasoning > write to CRM > route.
Hot (80-100): Instant alert. "Call within 1 hour." Priority flag. Warm (50-79): Standard sequence. Weekly summary. Cold (0-49): Automated nurture. Re-score monthly.
### Day 5-6: Calibrate Score 50 historical leads (25 won, 25 lost). Model ranks converters higher 75%+ of the time? Ready. If not, reweight behavioral signals.
### Day 7: Launch Score incoming leads. Sales manager reviews alongside own judgment for 2 weeks. Disagreements fine-tune the model.
## Advanced
Dynamic re-scoring: Pricing page visit, proposal email opened — yesterday's 45 is today's 85.
Competitive signals: Comparison guide downloaded? Active buying cycle — boost score.
Negative scoring: Personal emails (B2B), unserviceable industries, extended inactivity — subtract points.
## FAQ
Q: Accuracy vs manual? 25-40% more accurate after 30 days calibration.
Q: Replace sales judgment? Augment it. AI filters, reps apply judgment to what's worth attention.
Q: Little historical data? Start rules-based, layer AI as data accumulates. 50 deals is enough for patterns.
Q: Cost? $3-8K implementation. $100-300/month ongoing. 10% efficiency gain pays for it many times over.
Q: Works with our CRM? Any CRM with API. HubSpot, Salesforce, Pipedrive, Zoho.
Q: Recalibration frequency? Monthly first quarter, quarterly after.
Q: Most important signal? Behavioral engagement speed — how quickly leads interact after first contact.
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Want AI lead qualification? Strategy Audit scopes the exact config for your sales process. [Book your Strategy Audit →](/get-started)