Feature · lead scoring AI
Lead scoring AI
Scoring automático leads WhatsApp basado en 6 dimensiones (intent · vertical fit · urgency · budget · engagement · timing) · 4 tiers prioritización (hot/warm/cool/cold) · response time hot leads de 2-8h a <30min · conversion +15-20pp típica.
6 dimensiones scoring
| Dimensión | Peso | Detail |
|---|---|---|
| Intent commercial signal | 30% | Lenguaje paciente indica research-stage vs buying-stage · 'cuánto cuesta' = high · 'tengo dolor' = high · 'me interesa saber' = low |
| Vertical fit clinic | 25% | Servicio mentioned alignment con clinic specialty · ortodoncia request a clínica solo dental general = lower fit |
| Urgency signals | 20% | Time pressure language · 'hoy' · 'urgente' · 'cuando antes' = high · 'algún día' · 'estoy mirando' = low |
| Budget indicators | 10% | Direct mention precio o financiación · willingness pay · seguro privado mention · ARPV proyectado category |
| Engagement quality | 10% | Length messages · pregunta detallada · context provided · vs one-word reply · ghosting risk |
| Time-of-day + day-of-week | 5% | Patterns benchmark · weekend morning typically high intent serious enquiry · 3am drunk text low |
4 score tiers · action diferenciada
🔥 Hot lead (90-100)
Criteria: All signals high · ARPV proyectado >300€ · urgent · commercial intent claro
Action: Notify clinic admin INMEDIATO · call-back recepción {'<'}1h · prioridad máxima · custom outreach
✨ Warm lead (60-89)
Criteria: Mayoría signals positivos · ARPV proyectado 100-300€ · interest claro pero no urgency
Action: Bot continues conversation deep-dive · agenda demo si engagement sostenido · standard CRM flow
👀 Cool lead (30-59)
Criteria: Research-stage · información general · ARPV uncertain · puede ser nurture material
Action: Bot envía content educational · subscribe newsletter offer · nurture sequence · re-engage 30d
❄️ Cold lead (0-29)
Criteria: Vague enquiry · no commercial intent · maybe wrong number · bot question quality input
Action: Bot responde polite · NO push · sin staff time invested · auto-archived 7d sin respuesta
Resultados típicos · medición transparente
| Métrica | Valor | Nota |
|---|---|---|
| Time-to-call-back hot leads (baseline) | 2-8 horas típico | Recepción processed all leads same priority FIFO |
| Time-to-call-back hot leads (post-AI) | {'<'}30 min real-world | Auto-notification + priority queue · staff knows quién llamar primero |
| Conversion hot leads pre-AI | 20-30% típico healthcare | Industry benchmark · todos leads tratados igual |
| Conversion hot leads post-AI | 35-50% measured demo clinics | Faster response + better timing + personalized outreach |
| Coste oportunidad cool leads pre-AI | 30-40% recepción time | Mucho tiempo nurturing leads que nunca compran · waste |
| Coste oportunidad cool leads post-AI | 5-10% recepción time | Bot maneja cool leads automated · recepción solo hot+warm |
| Revenue impact estimado (clínica 50 leads/mes) | +800€-3.500€/mes | Conservative · varies by ARPV + baseline conversion |
Privacy + ethics · 6 reglas
- Scoring NO comparte data entre tenants · per-clinic isolated · GDPR aligned multi-tenancy
- Paciente NO ve su score · feature interna clinic admin only · paciente experience invariant
- NO discrimination · scoring agnostic age/gender/etnia · solo behavioral commercial signals
- Scoring transparency available · clinic admin puede ver porqué lead got X score · audit trail
- Override manual · clinic admin puede bump-up specific lead si conoce contexto personal
- Score data exportable · GDPR Art 20 portabilidad · clinic owns su lead data
¿Quieres ver lead scoring en acción?
Demo live con sample data tu vertical · ver cómo bot scorea diferentes intents · cómo prioriza notifications · cómo recepción organiza day basado en scores.