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Flujo de trabajo

Resena Lead Scoring Diario Pipeline

Puntuacion B2B leads by their online resena ratings y volume. Identificar companies con poor resenas as high-intent prospects.

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Resumen

Companies con declining resena puntuaciones o high complaint volumes son actively looking for alternatives. Este flujo de trabajo searches for company resenas diario, extrae sentiment senales, y puntuaciones leads basado on resena pain indicators. A company dropping de 4.5 to 3.2 stars on G2 es un warmer lead than one con stable 4.8 stars.

Desencadenador

Diario cron at 07:00 UTC

Programación

Diario at 07:00 UTC

Pasos del flujo de trabajo

1

Cargar objetivo companies

Leer el lista of companies in your ICP (Ideal Cliente Profile) ese you quiere to monitorear for resena cambios.

2

Search for resenas

Consulta cada company nombre con 'resenas' y 'complaints' modifiers to encontrar reciente resena contenido.

3

Extraer resena senales

Analizar search fragmentos for star ratings, resena counts, y sentiment palabras clave (complaints, problemas, switching, alternative).

4

Puntuacion leads

Assign un lead puntuacion basado on: declining ratings (+20), complaint volume (+15), 'switching' menciones (+25), reciente negative press (+10).

5

Salida ranked lista

Sort by puntuacion y salida el top leads for sales outreach con el especifico pain senales encontrado.

Implementacion en Python

Python
import requests, os, json, re

H = {"x-api-key": os.environ["SCAVIO_API_KEY"], "Content-Type": "application/json"}

PAIN_KEYWORDS = ["complaint", "issue", "problem", "switching", "alternative", "worst", "terrible", "migrating"]

def score_lead(company):
    queries = [f'"{company}" reviews 2026', f'"{company}" complaints OR issues']
    score = 0
    signals = []
    for q in queries:
        r = requests.post("https://api.scavio.dev/api/v1/search", headers=H,
            json={"platform": "google", "query": q}).json()
        for o in r.get("organic", [])[:5]:
            snippet = (o.get("snippet", "") or "").lower()
            for kw in PAIN_KEYWORDS:
                if kw in snippet:
                    score += 10
                    signals.append(f"{kw} found in: {o.get('title', '')[:50]}")
            rating_match = re.search(r'(\d\.\d)\s*/\s*5|rating.*?(\d\.\d)', snippet)
            if rating_match:
                rating = float(rating_match.group(1) or rating_match.group(2))
                if rating < 3.5:
                    score += 20
                    signals.append(f"Low rating: {rating}/5")
    return {"company": company, "score": score, "signals": signals[:5]}

companies = ["Competitor A", "Competitor B", "Competitor C"]
leads = sorted([score_lead(c) for c in companies], key=lambda x: -x["score"])
for l in leads:
    print(f"{l['company']}: score={l['score']}, signals={len(l['signals'])}")

Implementacion en JavaScript

JavaScript
const H = {"x-api-key": process.env.SCAVIO_API_KEY, "Content-Type": "application/json"};
const PAIN_KEYWORDS = ["complaint", "issue", "problem", "switching", "alternative", "worst", "terrible", "migrating"];

async function scoreLead(company) {
  const queries = [`"${company}" reviews 2026`, `"${company}" complaints OR issues`];
  let score = 0;
  const signals = [];
  for (const q of queries) {
    const r = await fetch("https://api.scavio.dev/api/v1/search", {
      method: "POST", headers: H,
      body: JSON.stringify({platform: "google", query: q})
    }).then(r => r.json());
    for (const o of (r.organic || []).slice(0, 5)) {
      const snippet = (o.snippet || "").toLowerCase();
      for (const kw of PAIN_KEYWORDS) {
        if (snippet.includes(kw)) {
          score += 10;
          signals.push(`${kw} in: ${(o.title || "").slice(0, 50)}`);
        }
      }
      const match = snippet.match(/(\d\.\d)\s*\/\s*5|rating.*?(\d\.\d)/);
      if (match) {
        const rating = parseFloat(match[1] || match[2]);
        if (rating < 3.5) { score += 20; signals.push(`Low rating: ${rating}/5`); }
      }
    }
  }
  return {company, score, signals: signals.slice(0, 5)};
}

Promise.all(["Competitor A", "Competitor B"].map(scoreLead)).then(leads => {
  leads.sort((a, b) => b.score - a.score);
  leads.forEach(l => console.log(`${l.company}: score=${l.score}, signals=${l.signals.length}`));
});

Plataformas utilizadas

Google

Búsqueda web con grafo de conocimiento, PAA y resúmenes de IA

Preguntas frecuentes

Companies con declining resena puntuaciones o high complaint volumes son actively looking for alternatives. Este flujo de trabajo searches for company resenas diario, extrae sentiment senales, y puntuaciones leads basado on resena pain indicators. A company dropping de 4.5 to 3.2 stars on G2 es un warmer lead than one con stable 4.8 stars.

Este flujo de trabajo usa un diario cron at 07:00 utc. Diario at 07:00 UTC.

Este flujo de trabajo usa las siguientes plataformas de Scavio: google. Cada plataforma se llama a traves del mismo endpoint de API unificado.

Si. El plan gratuito de Scavio incluye 50 creditos al registrarte sin tarjeta de credito. Es suficiente para probar y validar este flujo de trabajo antes de escalarlo.

Resena Lead Scoring Diario Pipeline

Puntuacion B2B leads by their online resena ratings y volume. Identificar companies con poor resenas as high-intent prospects.

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