This automation turns your product database into a live, sales-ready lead list. It listens for updates in your Postgres users table, filters out non-qualified/internal emails, and appends or updates rows in Google Sheets so SDRs and RevOps always work from a current, deduped contact sheet. The workflow ships with a manual test path and mock data for instant validation.

How it works

1. Database trigger — Watches Postgres for UPDATE events on the users table (template includes a manual testing path as well).

2. Qualification filter — Excludes emails containing @n8n.io (easily adapted to your rules).

3. Sheet write with de-dupe — Uses appendOrUpdate in Google Sheets, matching on id and mapping id, email, username, with USER_ENTERED formatting for human-friendly values.

4. Operator-friendly testing — A Manual Trigger and Code node provide sample data for dry runs before going live.

Why it’s a game-changer

• Zero lag from product to pipeline: As users qualify in your app, they appear in Sheets for outreach in near-real time.

• Lower ops risk: Centralized filtering and ID-based upserts prevent duplicates and bad sends.

• Scale without extra headcount: No more CSV exports, copy/paste, or nightly scripts; the sheet stays fresh automatically.

• Fast customization: Swap the filter rule or destination (HubSpot, Pipedrive, Zendesk, Excel) with minimal changes.

Ideal for SaaS growth teams, SDR/BDR squads, and RevOps leaders who want database-level accuracy in a tool the whole org can use (Sheets).

Why this price?
This system replaces the manual exports and spreadsheet wrangling typically consuming 30–60 minutes/day across a small sales team. At a blended $35–$50/hr, that’s $450–$1,000/month saved in labor, plus faster speed-to-lead that can lift conversion rates. You’re buying a production-ready pipeline with event listening, qualification logic, ID-based upsert, and safe operator testing—built to scale and reduce operational error. Payback is typically 3–7 months, then ongoing efficiency dividends.