Yaron Been This workflow corresponds to n8n.io template #14348 — we link there as the canonical source.
This workflow follows the Google Sheets → Slack recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"nodes": [
{
"id": "9455fee8-9c20-487d-8090-80dc23cfc2cb",
"name": "Fetch Tech Stack",
"type": "@predictleads/n8n-nodes-predictleads.predictLeads",
"position": [
816,
608
],
"parameters": {
"domain": "={{ $('Get Prospect List').item.json.domain }}",
"resource": "technologyDetections",
"operation": "retrieveTechnologiesUsedByCompany",
"requestOptions": {}
},
"credentials": {},
"typeVersion": 1
},
{
"id": "651982b8-1e98-4a92-be95-68ac90240ef7",
"name": "Send Slack Alert",
"type": "n8n-nodes-base.slack",
"position": [
2320,
512
],
"parameters": {
"text": "=\ud83d\ude80 High Intent Lead Detected!\n\nCompany: {{$json.domain}}\n\nIntent Score: {{$json.intent_score}}\n\nSignals Breakdown:\n- Hiring Activity: {{$json.hiring_signal}}\n- Tech Adoption: {{$json.tech_signal}}\n- News Mentions: {{$json.news_signal}}\n\nInsight:\nThis company is showing strong buying signals based on recent activity. Highly recommended for immediate outreach.\n\nNext Action:\nReach out to this prospect ASAP while intent is high.",
"select": "channel",
"channelId": {
"__rl": true,
"mode": "list",
"value": "C0AEEATQQEP",
"cachedResultName": "buddieslab-umer"
},
"otherOptions": {},
"authentication": "oAuth2"
},
"typeVersion": 2.4
},
{
"id": "5a46837e-6a54-4ae6-be6b-5fb1859d8a9e",
"name": "Get Prospect List",
"type": "n8n-nodes-base.googleSheets",
"position": [
256,
608
],
"parameters": {
"options": {},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1QZfK9jlVJOaY1LZB4szOPCUm9ZDkavUd3itiL_8HLzM/edit#gid=0",
"cachedResultName": "Prospects"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1QZfK9jlVJOaY1LZB4szOPCUm9ZDkavUd3itiL_8HLzM",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1QZfK9jlVJOaY1LZB4szOPCUm9ZDkavUd3itiL_8HLzM/edit?usp=drivesdk",
"cachedResultName": "11"
}
},
"typeVersion": 4.7
},
{
"id": "24a25680-83e9-414e-b033-3d25c024c8f2",
"name": "Normalize Data and Score",
"type": "n8n-nodes-base.code",
"position": [
1440,
608
],
"parameters": {
"jsCode": "return items.map((item, index) => {\n\n // \u2705 Jobs count\n const jobs = $items(\"Fetch Job Openings\")[index]?.json?.data?.length || 0;\n\n // \u2705 Tech count\n const tech = $items(\"Fetch Tech Stack\")[index]?.json?.data?.length || 0;\n\n // \u2705 News count (current node input)\n const news = item.json.data?.length || 0;\n\n // \u2705 Domain (from Google Sheet - correct source)\n const domain = $items(\"Get Prospect List\")[index]?.json?.domain || \"unknown\";\n\n // \u2705 Final scoring logic\n const score = (jobs * 5) + (tech * 3) + (news * 2);\n\n return {\n json: {\n domain,\n hiring_signal: jobs,\n tech_signal: tech,\n news_signal: news,\n intent_score: score\n }\n };\n});"
},
"typeVersion": 2
},
{
"id": "a82b0fc3-42cd-4e25-b156-e6d240a7092a",
"name": "Fetch Job Openings",
"type": "@predictleads/n8n-nodes-predictleads.predictLeads",
"position": [
576,
608
],
"parameters": {
"domain": "={{ $('Get Prospect List').item.json.domain }}",
"resource": "jobOpenings",
"operation": "retrieveCompanyJobOpenings",
"requestOptions": {}
},
"credentials": {},
"typeVersion": 1
},
{
"id": "27570106-c358-4372-b5da-025197b307ca",
"name": "Fetch News Events",
"type": "@predictleads/n8n-nodes-predictleads.predictLeads",
"position": [
1088,
608
],
"parameters": {
"domain": "={{ $('Get Prospect List').item.json.domain }}",
"resource": "newsEvents",
"operation": "retrieveCompanyNewsEvents",
"requestOptions": {}
},
"credentials": {},
"typeVersion": 1
},
{
"id": "04ab0c6a-6c3e-4427-84c7-f1c1d429f480",
"name": "Daily Prospect Scan Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
48,
608
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 8
}
]
}
},
"typeVersion": 1.3
},
{
"id": "10348e7f-969a-4648-b99c-8baa6f88e63c",
"name": "Filter High Intent Leads",
"type": "n8n-nodes-base.if",
"position": [
1664,
608
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 3,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "83e5ab50-5a2e-4e09-8bea-f1ed736bf84a",
"operator": {
"type": "number",
"operation": "gt"
},
"leftValue": "={{ $json.intent_score }}",
"rightValue": 20
}
]
}
},
"typeVersion": 2.3
},
{
"id": "918994c3-52fd-4bd9-b1e6-bc1c8dc3aab6",
"name": "Rank Leads by Intent Score",
"type": "n8n-nodes-base.sort",
"position": [
1952,
592
],
"parameters": {
"options": {},
"sortFieldsUi": {
"sortField": [
{
"order": "descending",
"fieldName": "intent_score"
}
]
}
},
"typeVersion": 1
},
{
"id": "a4eb80ae-0288-4de0-a459-b4429334d551",
"name": "Save Qualified Leads to Sheet",
"type": "n8n-nodes-base.googleSheets",
"position": [
2320,
688
],
"parameters": {
"columns": {
"value": {
"domain": "={{ $json.domain }}",
"news_signal": "={{ $json.news_signal }}",
"tech_signal": "={{ $json.tech_signal }}",
"intent_score": "={{ $json.intent_score }}",
"hiring_signal": "={{ $json.hiring_signal }}"
},
"schema": [
{
"id": "domain",
"type": "string",
"display": true,
"required": false,
"displayName": "domain",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "hiring_signal",
"type": "string",
"display": true,
"required": false,
"displayName": "hiring_signal",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "tech_signal",
"type": "string",
"display": true,
"required": false,
"displayName": "tech_signal",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "news_signal",
"type": "string",
"display": true,
"required": false,
"displayName": "news_signal",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "intent_score",
"type": "string",
"display": true,
"required": false,
"displayName": "intent_score",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 1792214905,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1QZfK9jlVJOaY1LZB4szOPCUm9ZDkavUd3itiL_8HLzM/edit#gid=1792214905",
"cachedResultName": "Save Qualified Leads to Sheet"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1QZfK9jlVJOaY1LZB4szOPCUm9ZDkavUd3itiL_8HLzM",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1QZfK9jlVJOaY1LZB4szOPCUm9ZDkavUd3itiL_8HLzM/edit?usp=drivesdk",
"cachedResultName": "04"
}
},
"typeVersion": 4.7
},
{
"id": "f04553f5-4dc3-47f6-a4cc-d107661c04d5",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-640,
48
],
"parameters": {
"color": 5,
"width": 500,
"height": 852,
"content": "## Multi-Signal Buying Intent Scoring & Sales Prioritization\n\n### How it works\n1. A daily schedule trigger fires each morning and pulls your prospect list (company domains) from a Google Sheet.\n2. For each prospect, the workflow queries PredictLeads to collect three buying signals: job openings, technology stack changes, and recent news events.\n3. All signals are normalized and combined into a single intent score using a weighted formula (hiring x5, tech x3, news x2).\n4. Leads scoring above the threshold (default: 20) are filtered, ranked from highest to lowest intent, then sent as a Slack alert and saved to a separate Google Sheet tab.\n\n### Setup\n1. Connect your **Google Sheets** credential and point the input node to a sheet with a `domain` column listing prospect company domains.\n2. Connect your **PredictLeads API** credential (get one at [predictleads.com](https://predictleads.com)).\n3. Connect your **Slack** credential and choose the channel where you want high-intent alerts.\n4. Create a second sheet tab for qualified leads output with columns: `domain`, `hiring_signal`, `tech_signal`, `news_signal`, `intent_score`.\n\n### Customization\n- Adjust the intent score threshold in the Filter node (default is 20).\n- Change signal weights in the Code node to match your sales priorities.\n- Add more output channels (email, CRM) alongside Slack."
},
"typeVersion": 1
},
{
"id": "a91da24f-6822-4f8b-bf51-d0dd2fa051ae",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-16,
480
],
"parameters": {
"width": 500,
"height": 280,
"content": "## Trigger & Input\nRuns daily at 8 AM and loads prospect domains from Google Sheets."
},
"typeVersion": 1
},
{
"id": "28da1760-128a-4547-b836-906cf70b74b3",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
512,
480
],
"parameters": {
"width": 840,
"height": 280,
"content": "## Signal Enrichment\nQueries PredictLeads for hiring activity, tech stack, and news events for each prospect."
},
"typeVersion": 1
},
{
"id": "fb57ca9d-91de-4a5b-8cf4-262a9e1ed536",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1360,
464
],
"parameters": {
"width": 840,
"height": 304,
"content": "## Scoring & Filtering\nCombines signals into a weighted intent score, filters leads above threshold, and ranks by score."
},
"typeVersion": 1
},
{
"id": "2b1a959f-fce5-4b1b-be19-5ab2e0d33b21",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
2240,
320
],
"parameters": {
"width": 300,
"height": 544,
"content": "## Alerts & Storage\nNotifies Slack with lead details and saves qualified leads to Google Sheets."
},
"typeVersion": 1
}
],
"connections": {
"Fetch Tech Stack": {
"main": [
[
{
"node": "Fetch News Events",
"type": "main",
"index": 0
}
]
]
},
"Fetch News Events": {
"main": [
[
{
"node": "Normalize Data and Score",
"type": "main",
"index": 0
}
]
]
},
"Get Prospect List": {
"main": [
[
{
"node": "Fetch Job Openings",
"type": "main",
"index": 0
}
]
]
},
"Fetch Job Openings": {
"main": [
[
{
"node": "Fetch Tech Stack",
"type": "main",
"index": 0
}
]
]
},
"Filter High Intent Leads": {
"main": [
[
{
"node": "Rank Leads by Intent Score",
"type": "main",
"index": 0
}
]
]
},
"Normalize Data and Score": {
"main": [
[
{
"node": "Filter High Intent Leads",
"type": "main",
"index": 0
}
]
]
},
"Rank Leads by Intent Score": {
"main": [
[
{
"node": "Send Slack Alert",
"type": "main",
"index": 0
},
{
"node": "Save Qualified Leads to Sheet",
"type": "main",
"index": 0
}
]
]
},
"Daily Prospect Scan Trigger": {
"main": [
[
{
"node": "Get Prospect List",
"type": "main",
"index": 0
}
]
]
}
}
}
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About this workflow
This workflow reads a list of prospect company domains from Google Sheets, enriches each company with multiple PredictLeads data sources, calculates a weighted intent score based on job openings, technology detections, and news events, filters for high-intent accounts, ranks…
Source: https://n8n.io/workflows/14348/ — original creator credit. Request a take-down →
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