Analizador inteligente de embudos de sitio web
Intermedio
Este es unMarket Research, AI Summarizationflujo de automatización del dominio deautomatización que contiene 15 nodos.Utiliza principalmente nodos como Set, GoogleSheets, McpClientTool, Agent, ScheduleTrigger. Usar GPT-4o, Bright Data y Google Sheets para analizar el embudo de conversión del sitio web
Requisitos previos
- •Credenciales de API de Google Sheets
- •Clave de API de OpenAI
Nodos utilizados (15)
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
{
"id": "4A25nv05Jho7qvlD",
"meta": {
"instanceId": "60046904b104f0f72b2629a9d88fe9f676be4035769f1f08dad1dd38a76b9480",
"templateCredsSetupCompleted": true
},
"name": "12 Smart Website Funnel Analyzer",
"tags": [],
"nodes": [
{
"id": "033bde69-15e0-4518-83fb-2fa0c434e3c1",
"name": "⏰ Disparador: Ejecutar por Programación",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-60,
0
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 9
}
]
}
},
"typeVersion": 1.2
},
{
"id": "f8f66218-4f7d-4fdf-9d43-1217923f8d69",
"name": "🛠️ Definir URL Objetivo y Contexto",
"type": "n8n-nodes-base.set",
"position": [
160,
0
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "c0317fd3-7765-4e9d-9d10-a30184a89543",
"name": "url",
"type": "string",
"value": "https://www.shopify.com"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5aebc5c5-adf8-4bfe-9dcf-4d9dad58620d",
"name": "🤖 Agente de IA: Extraer URL con MCP",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
440,
0
],
"parameters": {
"text": "=Visit the given URL and extract the following information:\n\n{{ $json.url }}\n\n1. **Page Metadata**\n - Page Title\n - Meta Description\n - Canonical URL\n\n2. **Tracking/Analytics Scripts**\n - List all script `src` that match known analytics vendors (e.g. `google-analytics.com`, `gtag`, `mixpanel`, `plausible.io`, `segment.io`, `hotjar.com`, etc.)\n\n3. **CTA Buttons and Links**\n - Extract all visible `<a>` and `<button>` elements with:\n - Inner text\n - href or onclick\n - Position in viewport (if possible)\n - Filter for CTA indicators: buttons/links with text like \"Start Free Trial\", \"Sign Up\", \"Get Started\", \"Learn More\", \"Try Now\", etc.\n\n4. **Analytics Objects**\n - Try to extract any JavaScript variables that might contain tracking data:\n - `window.dataLayer`\n - `window.analytics`\n - Any `JSON.parse(...)` content embedded in `<script>` tags\n\n5. **Page Structure Overview**\n - Count and summarize the number of:\n - Headings (`h1`, `h2`, `h3`)\n - Sections (`<section>` tags)\n - Images and media elements\n\n6. **Funnel Insight Tags (Optional for Later Use)**\n - Detect if this page likely fits a funnel stage:\n - Awareness (homepage, product overview)\n - Consideration (product detail, features)\n - Conversion (CTA, checkout, pricing)\n\nEnsure that JavaScript is rendered fully and wait for the page to become idle before extracting data. Use a mobile user-agent and viewport to simulate mobile browsing behavior accurately.\n\nReturn all data in structured JSON.\n",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2
},
{
"id": "19c9f2ea-1faf-42c5-aa6b-cc03f200d706",
"name": "🧠 Modelo LLM (Cerebro de Instrucción)",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
400,
260
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8sEyPDkC5p4w4Jha",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "4458687e-613a-4a41-823d-8f7ec7e374e8",
"name": "📡 Cliente MCP de Bright Data",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
580,
260
],
"parameters": {
"toolName": "scrape_as_markdown",
"operation": "executeTool",
"toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}"
},
"credentials": {
"mcpClientApi": {
"id": "eqq94k789oJCd6jU",
"name": "MCP Client (STDIO) account"
}
},
"typeVersion": 1
},
{
"id": "92c907a5-9ecd-4299-869e-dbcf8037fb3e",
"name": "📊 Guardar Resultados en Google Sheets",
"type": "n8n-nodes-base.googleSheets",
"position": [
980,
0
],
"parameters": {
"columns": {
"value": {
"images": "={{ $json.output.page_structure_overview.images }}",
"headings": "={{ $json.output.page_structure_overview.headings }}",
"sections": "={{ $json.output.page_structure_overview.sections }}",
"analytics": "={{ $json.output.analytics_objects.analytics }}",
"data layer": "={{ $json.output.analytics_objects.dataLayer }}",
"page title": "={{ $json.output.page_metadata.page_title }}",
"funnel stage": "={{ $json.output.funnel_stage }}",
"canonical url": "={{ $json.output.page_metadata.canonical_url }}",
"cta button links": "={{ $json.output.cta_buttons_links }}",
"meta description": "={{ $json.output.page_metadata.meta_description }}",
"json parsed content": "={{ $json.output.analytics_objects.json_parsed_content }}"
},
"schema": [
{
"id": "page title",
"type": "string",
"display": true,
"required": false,
"displayName": "page title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "meta description",
"type": "string",
"display": true,
"required": false,
"displayName": "meta description",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "canonical url",
"type": "string",
"display": true,
"required": false,
"displayName": "canonical url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cta button links",
"type": "string",
"display": true,
"required": false,
"displayName": "cta button links",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "data layer",
"type": "string",
"display": true,
"required": false,
"displayName": "data layer",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "analytics",
"type": "string",
"display": true,
"required": false,
"displayName": "analytics",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "json parsed content",
"type": "string",
"display": true,
"required": false,
"displayName": "json parsed content",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "headings",
"type": "string",
"display": true,
"required": false,
"displayName": "headings",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "sections",
"type": "string",
"display": true,
"required": false,
"displayName": "sections",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "images",
"type": "string",
"display": true,
"required": false,
"displayName": "images",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "funnel stage",
"type": "string",
"display": true,
"required": false,
"displayName": "funnel stage",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1JbTZgfXxSddks7Sx2YVW_uf-CDC6vBQ9s0nidzzxEKs/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1JbTZgfXxSddks7Sx2YVW_uf-CDC6vBQ9s0nidzzxEKs",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1JbTZgfXxSddks7Sx2YVW_uf-CDC6vBQ9s0nidzzxEKs/edit?usp=drivesdk",
"cachedResultName": "Website analytics"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "r2mDaisH6e9VkwHl",
"name": "Google Sheets account"
}
},
"typeVersion": 4.6
},
{
"id": "72c17e6e-c2f0-447e-b15c-3d974c75af85",
"name": "Nota Adhesiva",
"type": "n8n-nodes-base.stickyNote",
"position": [
-80,
-900
],
"parameters": {
"color": 6,
"width": 380,
"height": 1080,
"content": "## 🔶 **SECTION 1: Start & Define Target**\n\n### 🔹 Nodes:\n\n* `⏰ Trigger: Run on Schedule`\n* `🛠️ Define Target URL & Context`\n\n---\n\n### 🧩 What This Section Does:\n\n1. **⏰ Trigger: Run on Schedule**\n\n * This node automatically **starts the workflow at scheduled intervals** (e.g., hourly, daily).\n * You don’t need to press a button every time. Just set it once, and it runs like a robot clock.\n\n2. **🛠️ Define Target URL & Context**\n\n * Here, you **input the Shopify URL** you want to scrape.\n * You can also define **tags** like `page_type: homepage`, `funnel_stage: awareness`, etc., to help analyze which stage of the sales funnel each page belongs to.\n\n---\n\n### 💡 Beginner Benefit:\n\n> This section allows you to automate the scraping of a specific page (like the Shopify homepage) and clearly tag what you're trying to analyze — all **without coding**!\n\n---\n\n"
},
"typeVersion": 1
},
{
"id": "307d8a0d-260d-433d-ae61-097992f35efe",
"name": "Nota Adhesiva1",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
-1340
],
"parameters": {
"color": 5,
"width": 340,
"height": 1520,
"content": "## 🤖 **SECTION 2: AI-Powered Scraping via Bright Data MCP**\n\n### 🔹 Nodes:\n\n* `🤖 AI Agent: Scrape Shopify with MCP`\n\n * 🧠 `LLM Model (Instruction Brain)`\n * 📡 `Bright Data MCP Client`\n * 🧾 `Output Parser: Clean Extracted Data`\n\n---\n\n### 🧩 What This Section Does:\n\n1. **🤖 AI Agent: Scrape Shopify with MCP**\n\n * This is the **smart engine** that handles all scraping tasks.\n\n2. **🧠 LLM Model (Instruction Brain)**\n\n * It tells the AI agent **what to look for**, like:\n\n * Page title, CTAs, Google Analytics scripts, section counts, etc.\n * Think of it as the “brain” of the operation.\n\n3. **📡 Bright Data MCP Client**\n\n * This node actually **loads the website like a real phone user** (mobile browser), thanks to **Bright Data's Mobile Carrier Proxy**.\n * It **bypasses blocks**, loads dynamic content, and mimics real behavior.\n\n4. **🧾 Output Parser: Clean Extracted Data**\n\n * After scraping, this node **cleans and formats the results** into a neat JSON structure.\n * It ensures that things like headings, links, CTA buttons, and analytics scripts are easy to read and store.\n\n---\n\n### 💡 Beginner Benefit:\n\n> You don't have to know how scraping or proxies work. This AI Agent + Bright Data combo does the heavy lifting: it visits the page, reads everything like a human user, and extracts key insights in a structured format. 💪\n\n---\n\n"
},
"typeVersion": 1
},
{
"id": "b4af3b43-0daf-40be-96ab-c8f706414e14",
"name": "Nota Adhesiva2",
"type": "n8n-nodes-base.stickyNote",
"position": [
880,
-600
],
"parameters": {
"color": 3,
"width": 300,
"height": 780,
"content": "## ✅ **SECTION 3: Save Insights for Reporting**\n\n### 🔹 Node:\n\n* `📊 Save Results to Google Sheets`\n\n---\n\n### 🧩 What This Section Does:\n\n* This node **automatically logs all the structured results** (like title, CTAs, funnel stage, analytics scripts, etc.) into a connected Google Sheet.\n* Over time, this sheet becomes a **powerful conversion funnel tracker**, helping you identify:\n\n * Drop-off points\n * CTA effectiveness\n * Page structure evolution\n\n---\n\n"
},
"typeVersion": 1
},
{
"id": "a38a2cb0-f8e3-4892-abae-0b1f0695b328",
"name": "Nota Adhesiva9",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2080,
-900
],
"parameters": {
"color": 4,
"width": 1300,
"height": 320,
"content": "=======================================\n WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n - YouTube: https://www.youtube.com/@YaronBeen/videos\n - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n"
},
"typeVersion": 1
},
{
"id": "86a27ad9-d138-489c-a7de-176bd117536e",
"name": "Nota Adhesiva4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2080,
-560
],
"parameters": {
"color": 4,
"width": 1289,
"height": 2778,
"content": "# 📊 **Workflow Title:**\n\n**Smart Website Funnel Analyzer: Scrape Shopify with Bright Data and Log Insights to Google Sheets**\n\n---\n\n## 🔶 **SECTION 1: Start & Define Target**\n\n### 🔹 Nodes:\n\n* `⏰ Trigger: Run on Schedule`\n* `🛠️ Define Target URL & Context`\n\n---\n\n### 🧩 What This Section Does:\n\n1. **⏰ Trigger: Run on Schedule**\n\n * This node automatically **starts the workflow at scheduled intervals** (e.g., hourly, daily).\n * You don’t need to press a button every time. Just set it once, and it runs like a robot clock.\n\n2. **🛠️ Define Target URL & Context**\n\n * Here, you **input the Shopify URL** you want to scrape.\n * You can also define **tags** like `page_type: homepage`, `funnel_stage: awareness`, etc., to help analyze which stage of the sales funnel each page belongs to.\n\n---\n\n### 💡 Beginner Benefit:\n\n> This section allows you to automate the scraping of a specific page (like the Shopify homepage) and clearly tag what you're trying to analyze — all **without coding**!\n\n---\n\n## 🤖 **SECTION 2: AI-Powered Scraping via Bright Data MCP**\n\n### 🔹 Nodes:\n\n* `🤖 AI Agent: Scrape Shopify with MCP`\n\n * 🧠 `LLM Model (Instruction Brain)`\n * 📡 `Bright Data MCP Client`\n * 🧾 `Output Parser: Clean Extracted Data`\n\n---\n\n### 🧩 What This Section Does:\n\n1. **🤖 AI Agent: Scrape Shopify with MCP**\n\n * This is the **smart engine** that handles all scraping tasks.\n\n2. **🧠 LLM Model (Instruction Brain)**\n\n * It tells the AI agent **what to look for**, like:\n\n * Page title, CTAs, Google Analytics scripts, section counts, etc.\n * Think of it as the “brain” of the operation.\n\n3. **📡 Bright Data MCP Client**\n\n * This node actually **loads the website like a real phone user** (mobile browser), thanks to **Bright Data's Mobile Carrier Proxy**.\n * It **bypasses blocks**, loads dynamic content, and mimics real behavior.\n\n4. **🧾 Output Parser: Clean Extracted Data**\n\n * After scraping, this node **cleans and formats the results** into a neat JSON structure.\n * It ensures that things like headings, links, CTA buttons, and analytics scripts are easy to read and store.\n\n---\n\n### 💡 Beginner Benefit:\n\n> You don't have to know how scraping or proxies work. This AI Agent + Bright Data combo does the heavy lifting: it visits the page, reads everything like a human user, and extracts key insights in a structured format. 💪\n\n---\n\n## ✅ **SECTION 3: Save Insights for Reporting**\n\n### 🔹 Node:\n\n* `📊 Save Results to Google Sheets`\n\n---\n\n### 🧩 What This Section Does:\n\n* This node **automatically logs all the structured results** (like title, CTAs, funnel stage, analytics scripts, etc.) into a connected Google Sheet.\n* Over time, this sheet becomes a **powerful conversion funnel tracker**, helping you identify:\n\n * Drop-off points\n * CTA effectiveness\n * Page structure evolution\n\n---\n\n### 💡 Beginner Benefit:\n\n> No coding. No manual copy-paste. The moment a page is analyzed, the key insights are saved into your Google Sheet — ready for reporting or optimization.\n\n---\n\n## 🎁 **Final Thoughts: Why This Workflow Is Powerful**\n\n* 📱 Uses mobile proxy scraping (MCP) for full access to dynamic web pages\n* 🤖 AI handles complex instructions and parsing\n* 📊 Google Sheets gives you instant reporting and tracking\n\n---\n\n"
},
"typeVersion": 1
},
{
"id": "0218af59-c980-495f-9546-5992ce8f399b",
"name": "Nota Adhesiva5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1280,
-600
],
"parameters": {
"color": 7,
"width": 380,
"height": 240,
"content": "## I’ll receive a tiny commission if you join Bright Data through this link—thanks for fueling more free content!\n\n### https://get.brightdata.com/1tndi4600b25"
},
"typeVersion": 1
},
{
"id": "7c9b3666-f32f-49ab-be38-36b3f31a8ca0",
"name": "Analizador de Salida con Autocorrección",
"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
"position": [
720,
260
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "dae3494e-25b5-4394-a9ac-d4bfcf0621a2",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
680,
520
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8sEyPDkC5p4w4Jha",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "1ab9f312-a515-4b02-9e7f-f49e0f4c6515",
"name": "Analizador de Salida Estructurada",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
860,
520
],
"parameters": {
"jsonSchemaExample": "{\n \"page_metadata\": {\n \"page_title\": \"Shopify – Start your free trial today\",\n \"meta_description\": \"Start selling online today with Shopify. The easiest way to start an online store.\",\n \"canonical_url\": \"https://www.shopify.com\"\n },\n \"tracking_analytics_scripts\": [\n \"https://www.googletagmanager.com/\",\n \"https://www.google-analytics.com/\"\n ],\n \"cta_buttons_links\": [\n {\n \"inner_text\": \"Start for free\",\n \"href\": \"https://accounts.shopify.com/store-create?locale=en&language=en&signup%5Fpage=https%3A%2F%2Fwww.shopify.com%2F&signup%5Ftypes%5B%5D=paid%5Ftrial%5Fexperience\",\n \"position_in_viewport\": null\n },\n {\n \"inner_text\": \"Start for free\",\n \"href\": \"https://accounts.shopify.com/store-create?locale=en&language=en&signup%5Fpage=https%3A%2F%2Fwww.shopify.com%2F&signup%5Ftypes%5B%5D=paid%5Ftrial%5Fexperience\",\n \"position_in_viewport\": null\n },\n {\n \"inner_text\": \"Get started\",\n \"href\": \"/online\",\n \"position_in_viewport\": null\n }\n ],\n \"analytics_objects\": {\n \"dataLayer\": null,\n \"analytics\": null,\n \"json_parsed_content\": null\n },\n \"page_structure_overview\": {\n \"headings\": {\n \"h1\": 1,\n \"h2\": 10,\n \"h3\": 4\n },\n \"sections\": 15,\n \"images\": 20\n },\n \"funnel_stage\": \"Awareness\"\n}\n"
},
"typeVersion": 1.2
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "fd1b5014-94c4-4a9f-848b-d42272c68d4a",
"connections": {
"dae3494e-25b5-4394-a9ac-d4bfcf0621a2": {
"ai_languageModel": [
[
{
"node": "7c9b3666-f32f-49ab-be38-36b3f31a8ca0",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"1ab9f312-a515-4b02-9e7f-f49e0f4c6515": {
"ai_outputParser": [
[
{
"node": "7c9b3666-f32f-49ab-be38-36b3f31a8ca0",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"7c9b3666-f32f-49ab-be38-36b3f31a8ca0": {
"ai_outputParser": [
[
{
"node": "5aebc5c5-adf8-4bfe-9dcf-4d9dad58620d",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"4458687e-613a-4a41-823d-8f7ec7e374e8": {
"ai_tool": [
[
{
"node": "5aebc5c5-adf8-4bfe-9dcf-4d9dad58620d",
"type": "ai_tool",
"index": 0
}
]
]
},
"033bde69-15e0-4518-83fb-2fa0c434e3c1": {
"main": [
[
{
"node": "f8f66218-4f7d-4fdf-9d43-1217923f8d69",
"type": "main",
"index": 0
}
]
]
},
"5aebc5c5-adf8-4bfe-9dcf-4d9dad58620d": {
"main": [
[
{
"node": "92c907a5-9ecd-4299-869e-dbcf8037fb3e",
"type": "main",
"index": 0
}
]
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},
"19c9f2ea-1faf-42c5-aa6b-cc03f200d706": {
"ai_languageModel": [
[
{
"node": "5aebc5c5-adf8-4bfe-9dcf-4d9dad58620d",
"type": "ai_languageModel",
"index": 0
}
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"f8f66218-4f7d-4fdf-9d43-1217923f8d69": {
"main": [
[
{
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"type": "main",
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]
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}
}
}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 - Investigación de mercado, Resumen de IA
¿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.
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Gmail
18 NodosYaron Been
Investigación de mercado
27 Analizar vacíos en el mercado
Usar OpenAI y Bright Data para generar ideas de productos SaaS a partir de oportunidades de mercado
Set
Code
Google Sheets
+
Set
Code
Google Sheets
16 NodosYaron Been
Investigación de mercado
Monitoreo de lanzamientos de productos de la competencia
Monitoreo instantáneo del lanzamiento de productos de la competencia basado en Bright Data y OpenAI, con envío por correo electrónico/a tablas
Set
Code
Gmail
+
Set
Code
Gmail
18 NodosYaron Been
Investigación de mercado
23 Analizar valor de vida del cliente
Analizar y localizar clientes de alto valor con GPT-4 y Bright Data MCP
If
Set
Code
+
If
Set
Code
20 NodosYaron Been
Investigación de mercado
Monitoreo de eventos locales
Monitoreo automatizado de eventos locales usando Bright Data MCP y OpenAI para análisis
Set
Code
Google Sheets
+
Set
Code
Google Sheets
18 NodosYaron Been
Investigación de mercado
Información del flujo de trabajo
Nivel de dificultad
Intermedio
Número de nodos15
Categoría2
Tipos de nodos9
Descripción de la dificultad
Autor
Yaron Been
@yaron-nofluffBuilding AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host If you need any help with Automations, feel free to reach out via linkedin: https://www.linkedin.com/in/yaronbeen/ And check out my Youtube channel: https://www.youtube.com/@YaronBeen/videos
Enlaces externos
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