{"workflow":{"id":14099,"name":"Track new complementary-tool adopters with PredictLeads, Google Sheets, OpenAI and Gmail","views":11,"recentViews":0,"totalViews":11,"createdAt":"2026-03-17T06:09:15.670Z","description":"Track companies adopting tools that complement yours and send AI-drafted co-marketing outreach emails to new adopters.\n\nThis workflow reads a list of complementary tools (with their PredictLeads technology IDs) from Google Sheets, discovers companies that recently adopted each tool via the PredictLeads Technology Detections API, compares against previously scanned domains to find new adopters, enriches each new company, and uses OpenAI to draft a personalized co-marketing partnership email.\n\nHow it works:\n1. Schedule trigger runs the workflow daily at 8 AM.\n2. Reads complementary tool names and PredictLeads tech IDs from Google Sheets.\n3. Loops through each tool and discovers recent technology adopters via PredictLeads.\n4. Reads previously scanned domains from a separate Google Sheets tab.\n5. Compares current detections against previous scans to identify new adopters only.\n6. Limits processing to 2 new companies per tool per run (adjustable).\n7. Enriches each new adopter with PredictLeads company data.\n8. Builds a structured prompt and sends it to OpenAI to draft a co-marketing email.\n9. Sends the email via Gmail.\n10. Logs the domain, tool name, and timestamp to the Previous Scan sheet to prevent duplicates.\n\nSetup:\n- Create a Google Sheet with two tabs:\n  - \"Complementary Tools\" with columns: tool_name, tech_id (PredictLeads technology ID).\n  - \"Previous Scan\" with columns: domain, tool_name, detected_at, email_sent.\n- Connect your Gmail account (OAuth2) for sending outreach emails.\n- Add your OpenAI API key in the Draft Co-Marketing Email HTTP Request node.\n- Add your PredictLeads API credentials (X-Api-Key and X-Api-Token headers).\n\nRequirements:\n- Google Sheets OAuth2 credentials.\n- Gmail OAuth2 credentials.\n- OpenAI API account (uses gpt-4o-mini, ~$0.003-0.008 per call).\n- PredictLeads API account (https://docs.predictleads.com).\n\nNotes:\n- The Limit node caps outreach at 2 companies per tool per run -- adjust as needed.\n- Technology IDs for the complementary tools can be found via the PredictLeads API.\n- The Previous Scan tab prevents the same company from being contacted twice.\n- PredictLeads Technology Detections and Company API docs: https://docs.predictleads.com\n","workflow":{"id":"0hIiPKtrPg4gXg8M","meta":{"instanceId":"YOUR_INSTANCE_ID","templateCredsSetupCompleted":true},"name":"Complementary Tool Enrichment & Co-Marketing Outreach with PredictLeads","tags":[],"nodes":[{"id":"771fd4bc-bc7e-432a-9656-1ae503c4c93d","name":"About This Workflow","type":"n8n-nodes-base.stickyNote","position":[-2480,192],"parameters":{"color":4,"width":420,"height":400,"content":"ABOUT THIS WORKFLOW\n\nTracks companies adopting tools that complement yours and sends AI-drafted co-marketing outreach emails to new adopters.\n\nSetup: Google Sheet with tool names and PredictLeads tech IDs, Gmail OAuth2, OpenAI API key, PredictLeads API.\n\nUse case: You have an analytics tool that pairs well with HubSpot. This detects new HubSpot adopters and sends a partnership pitch offering a joint webinar or integration guide.\n\nPredictLeads API: https://predictleads.com\nQuestions: https://www.linkedin.com/in/yaronbeen"},"typeVersion":1},{"id":"eb4a3316-45e9-4170-bc4b-973609eeb54b","name":"📋 Trigger & Input","type":"n8n-nodes-base.stickyNote","position":[-1936,-96],"parameters":{"color":5,"width":480,"height":664,"content":"## 1️⃣ Trigger & Tool Source\n\n**Nodes:**  \n⏰ Daily Schedule → 📑 Read Complementary Tools List\n\n**Description:**  \nThe workflow starts with a scheduled trigger that runs every day.  \nIt reads a list of complementary tools from Google Sheets. Each row contains the **tool name** and **PredictLeads technology ID**.  \n\nThis sheet acts as the source dataset that defines which technologies should be monitored.  \nThe goal is to detect companies that start using these tools because they may be strong **co-marketing or partnership prospects**."},"typeVersion":1},{"id":"49085e0d-a898-4e27-873d-00fda6aa1c05","name":"🔄 Discovery & Change Detection","type":"n8n-nodes-base.stickyNote","position":[-1376,-112],"parameters":{"color":5,"width":1196,"height":680,"content":"## 2️⃣ Technology Discovery & Change Detection\n\n**Nodes:**  \n🔀 Split by Tool → 🔍 Discover Technology Adopters → 📑 Read Previous Scan Data → ⚙️ Compare & Detect New Adoptions → ✅ New Adoption Detected?\n\n**Description:**  \nEach tool from the sheet is processed individually using **Split in Batches**.  \n\nThe workflow calls the **PredictLeads Technology Detections API** to retrieve companies that recently adopted the specified technology.  \nIt then loads previously scanned domains from another Google Sheet tab to avoid duplicate processing.  \n\nA code node compares the newly detected companies with the previously stored domains and identifies **new technology adopters**.  \nOnly companies that appear for the first time are allowed to continue through the workflow."},"typeVersion":1},{"id":"6c3ed27a-2365-48ce-a625-a574e17c68fb","name":"🤖 AI Outreach","type":"n8n-nodes-base.stickyNote","position":[-96,-128],"parameters":{"color":5,"width":796,"height":696,"content":"## 3️⃣ Company Enrichment & AI Outreach Preparation\n\n**Nodes:**  \nLimit → 🔍 Enrich Company → ⚙️ Build AI Prompt → 🤖 Draft Co-Marketing Email\n\n**Description:**  \nThe workflow optionally limits the number of companies processed per run to control outreach volume.  \n\nFor each new adopter, additional company details are fetched from the **PredictLeads company API**.  \nThis enriched data is used to generate a structured prompt describing the company, the detected tool adoption, and the potential partnership context.  \n\nThe prompt is then sent to **OpenAI**, which generates a personalized co-marketing outreach email tailored to the company."},"typeVersion":1},{"id":"bece53e7-ee09-4c66-a457-75c0f3023a83","name":"📤 Output","type":"n8n-nodes-base.stickyNote","position":[784,-96],"parameters":{"color":5,"width":544,"height":664,"content":"## 4️⃣ Outreach & Data Logging\n\n**Nodes:**  \n📧 Send Co-Marketing Email → 📑 Update Previous Scan Data\n\n**Description:**  \nThe AI-generated email is sent through Gmail to the target company.  \n\nAfter sending the email, the workflow logs the domain, tool name, detection timestamp, and email status into Google Sheets.  \nThis log acts as a **historical database of detected adopters**, ensuring the workflow does not send duplicate outreach emails in future runs."},"typeVersion":1},{"id":"db3013a4-0a51-4893-93d8-6ef156f1cf9e","name":"⏰ Daily Schedule","type":"n8n-nodes-base.scheduleTrigger","position":[-1856,336],"parameters":{"rule":{"interval":[{"triggerAtHour":8}]}},"typeVersion":1.2},{"id":"55062280-f4da-4810-9bd1-b49ec29ec7df","name":"📑 Read Complementary Tools List","type":"n8n-nodes-base.googleSheets","position":[-1648,336],"parameters":{"options":{},"sheetName":{"__rl":true,"mode":"list","value":"gid=0","cachedResultUrl":"https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID_05/edit#gid=0","cachedResultName":"Complementary Tools"},"documentId":{"__rl":true,"mode":"list","value":"YOUR_GOOGLE_SHEET_ID_05","cachedResultUrl":"https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID_05/edit?usp=drivesdk","cachedResultName":"05"}},"credentials":{"googleSheetsOAuth2Api":{"id":"credential-id","name":"Google Sheets account"}},"typeVersion":4.5},{"id":"3d2d85da-557d-43ca-8bda-76e8a3bce8d4","name":"🔀 Split by Tool","type":"n8n-nodes-base.splitInBatches","position":[-1296,336],"parameters":{"options":{}},"typeVersion":3},{"id":"6183c254-804d-499a-8778-1a0911c64295","name":"🔍 Discover Technology Adopters","type":"n8n-nodes-base.httpRequest","position":[-1056,352],"parameters":{"url":"=https://predictleads.com/api/v3/discover/technologies/{{ $json.tech_id }}/technology_detections","options":{},"sendHeaders":true,"headerParameters":{"parameters":[{"name":"X-Api-Key","value":"YOUR_PREDICTLEADS_API_KEY"},{"name":"X-Api-Token","value":"YOUR_PREDICTLEADS_API_TOKEN"},{"name":"Content-Type","value":"application/json"}]}},"typeVersion":4.2},{"id":"04d285d8-9355-484c-ae26-83c9c4790445","name":"📑 Read Previous Scan Data","type":"n8n-nodes-base.googleSheets","position":[-832,352],"parameters":{"options":{},"sheetName":{"__rl":true,"mode":"list","value":423252497,"cachedResultUrl":"https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID_05/edit#gid=423252497","cachedResultName":"Previous Scan"},"documentId":{"__rl":true,"mode":"list","value":"YOUR_GOOGLE_SHEET_ID_05","cachedResultUrl":"https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID_05/edit?usp=drivesdk","cachedResultName":"05"}},"credentials":{"googleSheetsOAuth2Api":{"id":"credential-id","name":"Google Sheets account"}},"typeVersion":4.5,"alwaysOutputData":true},{"id":"8f7ac7af-4e7b-4e28-8ae8-10541b6541f2","name":"⚙️ Compare & Detect New Adoptions","type":"n8n-nodes-base.code","position":[-592,352],"parameters":{"jsCode":"// Get current technology detection results\nconst currentDetections = $('🔍 Discover Technology Adopters').first().json.data || [];\n\n// Get previous scan domains from Google Sheets\nconst previousItems = $('📑 Read Previous Scan Data').all();\nconst previousDomains = new Set(\n  previousItems.map(item => item.json.domain).filter(Boolean)\n);\n\n// Find new adoptions (domains not seen before)\nconst newAdoptions = currentDetections.filter(\n  detection => !previousDomains.has(detection.attributes?.domain)\n);\n\n// Return new adoptions for downstream processing\nreturn newAdoptions.map(detection => ({\n  json: {\n    domain: detection.attributes?.domain || detection.domain,\n    tool_name: $('🔀 Split by Tool').first().json.tool_name,\n    tech_id: $('🔀 Split by Tool').first().json.tech_id,\n    detected_at: detection.attributes?.first_detected_at || new Date().toISOString(),\n    is_new: true\n  }\n}));"},"typeVersion":2},{"id":"262e554e-cf12-4c00-88ad-6f3eaf14b717","name":"✅ New Adoption Detected?","type":"n8n-nodes-base.if","position":[-400,352],"parameters":{"options":{},"conditions":{"options":{"version":1,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"f2a3b4c5-d6e7-4f80-9102-1324a5b6c7d8","operator":{"type":"boolean","operation":"true"},"leftValue":"={{ $json.is_new }}","rightValue":true}]}},"typeVersion":2},{"id":"50c4d2ac-930e-47d8-b55d-2db7327f686d","name":"🔍 Enrich Company","type":"n8n-nodes-base.httpRequest","position":[128,336],"parameters":{"url":"=https://predictleads.com/api/v3/companies/{{ $('📑 Read Previous Scan Data').first().json.domain }}","options":{},"sendHeaders":true,"headerParameters":{"parameters":[{"name":"X-Api-Key","value":"YOUR_PREDICTLEADS_API_KEY"},{"name":"X-Api-Token","value":"YOUR_PREDICTLEADS_API_TOKEN"},{"name":"Content-Type","value":"application/json"}]}},"typeVersion":4.2},{"id":"c4a28b31-c2f1-4411-89c9-6f0415c785fa","name":"⚙️ Build AI Prompt","type":"n8n-nodes-base.code","position":[320,336],"parameters":{"jsCode":"const results = [];\n\nconst toolName = $('⚙️ Compare & Detect New Adoptions').first().json.tool_name;\n\nfor (const item of $input.all()) {\n\n  const company = item.json.data?.[0]?.attributes || {};\n\n  const domain = company.domain || '';\n  const companyName = company.company_name || company.friendly_company_name || domain;\n\n  const industry = company.industry || 'technology';\n  const size = company.employee_count || 'unknown';\n  const description = company.description || '';\n\n  const prompt = `You are a B2B partnerships expert. Draft a concise, friendly co-marketing outreach email.\n\nContext:\n- We noticed that ${companyName} (${domain}) recently adopted ${toolName}.\n- Our product is complementary to ${toolName} and we believe there is a strong co-marketing opportunity.\n- Company industry: ${industry}\n- Company size: ${size} employees\n- Company description: ${description}\n\nRequirements:\n- Subject line included at the top as \"Subject: ...\"\n- Professional but warm tone\n- Mention the complementary nature of our tools\n- Propose a specific co-marketing idea (joint webinar, co-authored content, integration showcase)\n- Keep it under 200 words\n- End with a clear call-to-action`;\n\n  results.push({\n    json: {\n      prompt,\n      company_name: companyName,\n      domain: domain,\n      tool_name: toolName,\n      industry: industry,\n      employee_count: size\n    }\n  });\n\n}\n\nreturn results;"},"typeVersion":2},{"id":"40bd56a4-9920-4c1a-a62c-a3c1017514a1","name":"🤖 Draft Co-Marketing Email","type":"n8n-nodes-base.httpRequest","position":[528,336],"parameters":{"url":"https://api.openai.com/v1/chat/completions","method":"POST","options":{},"jsonBody":"={\n  \"model\": \"gpt-4o-mini\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a B2B co-marketing outreach specialist. Write concise, personalized partnership emails.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": {{ JSON.stringify($json.prompt) }}\n    }\n  ],\n  \"temperature\": 0.7,\n  \"max_tokens\": 500\n}","sendBody":true,"sendHeaders":true,"specifyBody":"json","headerParameters":{"parameters":[{"name":"Authorization","value":"Bearer YOUR_TOKEN_HERE"},{"name":"Content-Type","value":"application/json"}]}},"typeVersion":4.2},{"id":"86468b61-ad14-43e2-bed7-f5fd65c5459b","name":"📧 Send Co-Marketing Email","type":"n8n-nodes-base.gmail","position":[896,336],"webhookId":"5e72b37f-b1fd-4b42-a818-d70d334fd693","parameters":{"sendTo":"={{ $('⚙️ Build AI Prompt').item.json.domain.split('.')[0] + '@example.com' }}","message":"={{ $json.choices[0].message.content }}","options":{},"subject":"=Co-Marketing Partnership Opportunity - {{ $('⚙️ Build AI Prompt').item.json.company_name }}","emailType":"text"},"credentials":{"gmailOAuth2":{"id":"credential-id","name":"Gmail 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