Block 1 - Workflow Overview
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Lead Scoring Pipeline with Mattermost and Trello This workflow automatically enriches incoming form based leads, calculates a lead score from multiple data points, and then routes high value prospe...
n8n-nodes-base.stickynote, n8n-nodes-base.scheduletrigger, n8n-nodes-base.httprequest, n8n-nodes-base.code, n8n-nodes-base.splitinbatches, n8n-nodes-base.if, n8n-nodes-base.merge, n8n-nodes-base.trello
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by vinci-king-01.
Original n8n.io sourceThis workflow automatically enriches incoming form-based leads, calculates a lead-score from multiple data points, and then routes high-value prospects to a Mattermost alert channel while adding all leads to Trello for further handling. It centralizes lead intelligence and streamlines sales team triage—no manual spreadsheet work required.
| Variable | Purpose | Example Value |
|---|---|---|
MM_CHANNEL_ID |
Mattermost channel to post high-score leads | leads-alerts |
TRELLO_BOARD_ID |
Board where new cards are added | 62f1d... |
TRELLO_LIST_ID_HOT |
Trello list for hot leads | Hot Deals |
TRELLO_LIST_ID_BACKLOG |
Trello list for all other leads | New Leads |
LEAD_SCORE_THRESHOLD |
Score above which a lead is considered hot | 70 |
This workflow grabs new leads at a defined interval, enriches each lead with external data, computes a custom score, and routes the lead: high-scorers trigger a Mattermost alert and are placed in a “Hot Deals” list, while the rest are stored in a “Backlog” list on Trello. All actions are fully automated and run unattended once configured.
LEAD_SCORE_THRESHOLD.Setup Time: 10–15 minutes
MM_CHANNEL_ID, TRELLO_BOARD_ID, TRELLO_LIST_ID_HOT, TRELLO_LIST_ID_BACKLOG, and LEAD_SCORE_THRESHOLD in n8n → Settings → Environment.score field.// Code node: adjust weights to change scoring logic
const weights = {
industry: 15,
companySize: 25,
jobTitle: 20,
intentSignals: 40
};
// Use a Lookup table instead of IF node
const mapping = {
hot: 'TRELLO_LIST_ID_HOT',
cold: 'TRELLO_LIST_ID_BACKLOG'
};
items[0].json.listId = mapping[items[0].json.segment];
return items;
The workflow outputs structured JSON data:
{
"leadId": "12345",
"email": "[email protected]",
"score": 82,
"priority": "hot",
"trelloCardUrl": "https://trello.com/c/abc123",
"mattermostPostId": "78yzk9n8ppgkkp"
}
MM_CHANNEL_ID is correct.Pro Tips:
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Score and route leads with Clearbit, Mattermost and Trello |
|---|---|
| Complexity | advanced |
| Nodes | 19 |
| Categories | Lead Generation, AI Summarization |
| Author | vinci-king-01 |
| Published | 16 Jan 2026 |
Use the JSON export at /data/workflows/12751/12751.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Lead Scoring Pipeline with Mattermost and Trello This workflow automatically enriches incoming form based leads, calculates a lead score from multiple data points, and then routes high value prospe...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Generation, AI Summarization use case.