Cultivo automatizado de prospectos de WhatsApp con mensajes personalizados de Postgres y Gallabox

Intermedio

Este es unLead Nurturing, Multimodal AIflujo de automatización del dominio deautomatización que contiene 11 nodos.Utiliza principalmente nodos como Code, Postgres, HttpRequest, SplitInBatches, ScheduleTrigger. Cultivo automatizado de leads en WhatsApp con mensajes personalizados de Gallabox y Postgres

Requisitos previos
  • Información de conexión de la base de datos PostgreSQL
  • Pueden requerirse credenciales de autenticación para la API de destino
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "meta": {
    "instanceId": "807c58b937f3c75f8b242bc4ac5f455a51832cabd7bcdbecd9fdc3ba6179a8c9",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "84e5aa63-1375-4aa5-980a-b8d252d7535b",
      "name": "Ejecutar una consulta SQL",
      "type": "n8n-nodes-base.postgres",
      "onError": "continueRegularOutput",
      "position": [
        4040,
        520
      ],
      "parameters": {
        "query": "SELECT * FROM \"MQL\".mql_contacts\nWHERE (\n  (count = 0)\n   OR \n  (count = 1 AND (NOW() AT TIME ZONE 'Asia/Kolkata') - webhook_time > INTERVAL '3 minutes')\n   OR \n  (count = 2 AND (NOW() AT TIME ZONE 'Asia/Kolkata') - webhook_time > INTERVAL '5 minutes')\n   OR \n  (count = 3 AND (NOW() AT TIME ZONE 'Asia/Kolkata') - webhook_time > INTERVAL '8 minutes')\n)\n  AND\n  disposition = 'unqualified'\n  ;",
        "options": {},
        "operation": "executeQuery"
      },
      "retryOnFail": true,
      "typeVersion": 2.6,
      "alwaysOutputData": true
    },
    {
      "id": "4c385ae2-6ffe-4f84-8647-cc347dd32ad4",
      "name": "Nota adhesiva1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        4000,
        680
      ],
      "parameters": {
        "width": 176,
        "height": 80,
        "content": "Gets unqualified leads which count 0,1,2,3 respective time"
      },
      "typeVersion": 1
    },
    {
      "id": "fcdf84ff-57e4-4faa-adcb-c0e3d707e34c",
      "name": "Activador programado",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        3720,
        520
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "seconds"
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "00e9e762-8a4a-46be-85e8-e3bbd86bfc07",
      "name": "Código1",
      "type": "n8n-nodes-base.code",
      "position": [
        4780,
        540
      ],
      "parameters": {
        "jsCode": "// Define matrix with count mapping\nconst matrix = {\n  nexus: {\n    0: \"🛵 sample1\",\n    1: \"⚡️ sample1\",\n    2: \"🔋 sample1\",\n    3: \"✨ sample1\"\n  },\n  magnus: {\n    0: \"🛵 sample2\",\n    1: \"⚡️ sample2\",\n    2: \"🔋 sample2\",\n    3: \"✨ sample2\"\n  },\n  reo: {\n    0: \"🛵 sample3\",\n    1: \"⚡️ sample3\",\n    2: \"🔋 sample3\",\n    3: \"✨sample3\"\n  },\n  general: {\n    0: \"🛵 sample4\",\n    1: \"⚡️sample4\",\n    2: \"🔋 sample4\",\n    3: \"✨ sample3\"\n  }\n};\n\n// Get inputs from previous node\nconst model = $input.first().json.model// \"nexus\" / \"reo\" / \"magnus\" / \"general\"\nconst count =  $input.first().json.count // 0 / 1 / 2 / 3\n\n// const model = \"general\"; \n// const count = 0; \n\n// Fetch matching content\nconst output = matrix[model]?.[count] || \"🛵 default\";\n\n// Return as output\nreturn [{ json: { model, count, output } }];"
      },
      "typeVersion": 2
    },
    {
      "id": "8c5fad3d-46b3-427e-ab5a-205712394bd0",
      "name": "Iterar sobre elementos4",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        4520,
        520
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "a7846d82-40fa-4f73-b22a-a100009d276c",
      "name": "nuevo_lead_4",
      "type": "n8n-nodes-base.httpRequest",
      "onError": "continueRegularOutput",
      "position": [
        5000,
        540
      ],
      "parameters": {
        "url": "https://server.gallabox.com/devapi/messages/whatsapp",
        "method": "POST",
        "options": {
          "response": {
            "response": {
              "fullResponse": true
            }
          }
        },
        "jsonBody": "=add here your copy api for whatsapp sending\n{\n    \"channelId\": \"0\",\n    \"channelType\": \"whatsapp\",\n    \"recipient\": {\n        \"name\": \"{{ $('Execute a SQL query').item.json.name }}\",\n        \"phone\": \"91{{ $('Execute a SQL query').item.json.phone }}\"\n    },\n    \"whatsapp\": {\n        \"type\": \"template\",\n        \"template\": {\n            \"templateName\": \"waba_qual_21july25\",\n            \"bodyValues\": {\n                \"Name\": \"{{ $('Execute a SQL query').item.json.name }}\",\n                \"Details\": \"{{ $json.output }}\"\n            },\n            \"buttonValues\": [\n                {\n                    \"index\": 0,\n                    \"sub_type\": \"quick_reply\",\n                    \"parameters\": {\n                        \"type\": \"payload\",\n                        \"payload\": \"Show Brochure\"\n                    }\n                },\n                {\n                    \"index\": 1,\n                    \"sub_type\": \"quick_reply\",\n                    \"parameters\": {\n                        \"type\": \"payload\",\n                        \"payload\": \"Get Showroom Location\"\n                    }\n                },\n                {\n                    \"index\": 2,\n                    \"sub_type\": \"quick_reply\",\n                    \"parameters\": {\n                        \"type\": \"payload\",\n                        \"payload\": \"Not Interested\"\n                    }\n                }\n            ]\n        }\n    }\n}",
        "sendBody": true,
        "jsonHeaders": "{\n  \"apiKey\": \"\",\n  \"apiSecret\": \"\"\n}",
        "sendHeaders": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "specifyHeaders": "json",
        "genericAuthType": "httpCustomAuth"
      },
      "typeVersion": 4.1
    },
    {
      "id": "505800b6-fbe6-49bd-bd97-5cfb3a34da8c",
      "name": "Actualizar filas en una tabla4",
      "type": "n8n-nodes-base.postgres",
      "position": [
        5500,
        540
      ],
      "parameters": {
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "mql_contacts",
          "cachedResultName": "mql_contacts"
        },
        "schema": {
          "__rl": true,
          "mode": "list",
          "value": "MQL",
          "cachedResultName": "MQL"
        },
        "columns": {
          "value": {
            "count": "={{ $('Execute a SQL query').item.json.count + 1  }}",
            "phone": "={{ $('Execute a SQL query').item.json.phone }}",
            "pincode": 0,
            "last_message_sent": "={{ $json.last_sent }}"
          },
          "schema": [
            {
              "id": "id",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "id",
              "defaultMatch": true,
              "canBeUsedToMatch": true
            },
            {
              "id": "created_at",
              "type": "dateTime",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "created_at",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "updated_at",
              "type": "dateTime",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "updated_at",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "name",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "phone",
              "type": "number",
              "display": true,
              "removed": false,
              "required": true,
              "displayName": "phone",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "last_message_sent",
              "type": "dateTime",
              "display": true,
              "required": false,
              "displayName": "last_message_sent",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "disposition",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "disposition",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "count",
              "type": "number",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "count",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "interval",
              "type": "number",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "interval",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "remarks",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "remarks",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "model",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "model",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "pincode",
              "type": "number",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "pincode",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "ABOS API status",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "ABOS API status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "webhook_time",
              "type": "dateTime",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "webhook_time",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "phone"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "update"
      },
      "typeVersion": 2.6
    },
    {
      "id": "f7729e9d-8f3b-477a-88fe-513be43997e4",
      "name": "Insertar filas en una tabla4",
      "type": "n8n-nodes-base.postgres",
      "position": [
        5280,
        540
      ],
      "parameters": {
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "mql_logs",
          "cachedResultName": "mql_logs"
        },
        "schema": {
          "__rl": true,
          "mode": "list",
          "value": "MQL",
          "cachedResultName": "MQL"
        },
        "columns": {
          "value": {
            "name": "={{ $('Execute a SQL query').item.json.name }}",
            "phone": "={{ $('Execute a SQL query').item.json.phone }}",
            "remarks": "Workflow 1",
            "last_sent": "={{ $('Execute a SQL query').item.json.last_message_sent }}",
            "mes_count": "={{ $('Execute a SQL query').item.json.count }}",
            "message_id": "={{ $json.body.id }}",
            "disposition": "={{ $('Execute a SQL query').item.json.disposition }}",
            "gb_status_code": "={{ $json.statusCode }}",
            "gb_status_message": "={{ $json.body.status }}"
          },
          "schema": [
            {
              "id": "id",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "id",
              "defaultMatch": true,
              "canBeUsedToMatch": true
            },
            {
              "id": "created_at",
              "type": "dateTime",
              "display": true,
              "required": false,
              "displayName": "created_at",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "updated_at",
              "type": "dateTime",
              "display": true,
              "required": false,
              "displayName": "updated_at",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "message_id",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "message_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "phone",
              "type": "number",
              "display": true,
              "required": true,
              "displayName": "phone",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "disposition",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "disposition",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "mes_count",
              "type": "number",
              "display": true,
              "required": false,
              "displayName": "mes_count",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "last_sent",
              "type": "dateTime",
              "display": true,
              "required": false,
              "displayName": "last_sent",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "gb_status_code",
              "type": "number",
              "display": true,
              "required": false,
              "displayName": "gb_status_code",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "gb_status_message",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "gb_status_message",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "message_status_meta",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "message_status_meta",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "cta",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "cta",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "remarks",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "remarks",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "id"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {}
      },
      "typeVersion": 2.6
    },
    {
      "id": "a6bb388a-17f3-4e24-94a4-47abf67dacf4",
      "name": "Nota adhesiva",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        4640,
        420
      ],
      "parameters": {
        "width": 216,
        "height": 80,
        "content": "Matrixed code to add unque message for pushing that to message with variable\n"
      },
      "typeVersion": 1
    },
    {
      "id": "afd6a70f-80ae-4c3e-8b82-bd784dacfbe5",
      "name": "Nota adhesiva2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        5000,
        420
      ],
      "parameters": {
        "width": 150,
        "height": 80,
        "content": "Gallabox/whatsapp sending api"
      },
      "typeVersion": 1
    },
    {
      "id": "13fe2f75-fe06-423a-9334-a4be0025624d",
      "name": "Nota adhesiva3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        5380,
        420
      ],
      "parameters": {
        "width": 150,
        "height": 80,
        "content": "Postgres connection to store data "
      },
      "typeVersion": 1
    }
  ],
  "pinData": {},
  "connections": {
    "00e9e762-8a4a-46be-85e8-e3bbd86bfc07": {
      "main": [
        [
          {
            "node": "a7846d82-40fa-4f73-b22a-a100009d276c",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "a7846d82-40fa-4f73-b22a-a100009d276c": {
      "main": [
        [
          {
            "node": "f7729e9d-8f3b-477a-88fe-513be43997e4",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "8c5fad3d-46b3-427e-ab5a-205712394bd0": {
      "main": [
        [],
        [
          {
            "node": "00e9e762-8a4a-46be-85e8-e3bbd86bfc07",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "fcdf84ff-57e4-4faa-adcb-c0e3d707e34c": {
      "main": [
        [
          {
            "node": "84e5aa63-1375-4aa5-980a-b8d252d7535b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "84e5aa63-1375-4aa5-980a-b8d252d7535b": {
      "main": [
        [
          {
            "node": "8c5fad3d-46b3-427e-ab5a-205712394bd0",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "f7729e9d-8f3b-477a-88fe-513be43997e4": {
      "main": [
        [
          {
            "node": "505800b6-fbe6-49bd-bd97-5cfb3a34da8c",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "505800b6-fbe6-49bd-bd97-5cfb3a34da8c": {
      "main": [
        [
          {
            "node": "8c5fad3d-46b3-427e-ab5a-205712394bd0",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
Preguntas frecuentes

¿Cómo usar este flujo de trabajo?

Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.

¿En qué escenarios es adecuado este flujo de trabajo?

Intermedio - Nutrición de leads, IA Multimodal

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.

Flujos de trabajo relacionados recomendados

Flujo de trabajo de correos fríos impulsado por GPT-4, con 3 correos de seguimiento completamente personalizados
Automatizar secuencias de frío personalizadas con GPT-4, Mailgun y Supabase
If
Set
Code
+
If
Set
Code
100 NodosPaul
Nutrición de leads
Generación automatizada de prospectos de LinkedIn y alcance por mensaje directo con Airtable, OpenAI y Unipile
Generación automatizada de leads de LinkedIn con mensajes directos usando Airtable, OpenAI y Unipile
If
Set
Code
+
If
Set
Code
143 NodosRuben AI
Nutrición de leads
Cultivo automatizado de prospectos de WhatsApp con API de Gallabox y marketing por goteo en Supabase
Cultivo automatizado de leads en WhatsApp con Gallabox API y marketing de goteo en Supabase
If
Switch
Supabase
+
If
Switch
Supabase
34 NodosRahi
Nutrición de leads
Envío automatizado de mensajes de bienvenida de WhatsApp desde Google Sheets con API de Rapiwa
Envío automatizado de mensajes de bienvenida de WhatsApp para leads con Google Sheets y Rapiwa
If
Code
Wait
+
If
Code
Wait
17 NodosSpaGreen Creative
Nutrición de leads
Flujo automatizado de blog SEO de palabras clave a WordPress con GPT-5 e imágenes de fal.ai
Usar GPT-5 y fal.ai imágenes para automatizar el flujo de blog SEO de palabras clave a WordPress
Set
Code
Wait
+
Set
Code
Wait
96 NodosPaul
Creación de contenido
Pipeline automatizado para enriquecimiento de prospectos de LinkedIn con Apollo.io y Hojas de Cálculo de Google
Tubería automatizada para enriquecimiento de leads de LinkedIn usando Apollo.io y Google Sheets
If
Code
Wait
+
If
Code
Wait
33 NodosRahi Uppal
Generación de leads
Información del flujo de trabajo
Nivel de dificultad
Intermedio
Número de nodos11
Categoría2
Tipos de nodos6
Descripción de la dificultad

Adecuado para usuarios con experiencia intermedia, flujos de trabajo de complejidad media con 6-15 nodos

Autor

AI and Automation Consultant with over 1000 hours of experience building, deploying, and solving marketing and sales automation problems. I ship AI products faster by combining business acumen with AI & automation expertise and an engineering mindset. Connect with me on LinkedIn to chat.

Enlaces externos
Ver en n8n.io

Compartir este flujo de trabajo

Categorías

Categorías: 34