Templates / Automated WhatsApp lead nurturing with personalized messages via Postgres & Gallabox

Automated WhatsApp lead nurturing with personalized messages via Postgres & Gallabox

Ready for 3.0

by Rahi Uppal ✓ · 334 views · created 2025-08-21 · Lead Nurturing, Multimodal AI

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This workflow has 7 nodes and runs on a schedule (every second). Along the way it connects Postgres. It also calls server.gallabox.com over HTTP.

How it runs

Trigger: On a schedule (every second).

  1. Execute a SQL query (Postgres): run a query
  2. Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
  3. Code: runs custom JavaScript code
  4. new_lead_ (HTTP Request): calls server.gallabox.com (POST)
  5. Insert rows in a table (Postgres): uses Postgres
  6. Update rows in a table (Postgres): update

Services it uses

Postgres

HTTP calls to: server.gallabox.com

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (5)

From the author

n8n Workflow: WhatsApp Lead Nurturing (MQL) 🔄 Purpose This workflow fetches unqualified leads from Postgres at defined retry intervals, sends personalized WhatsApp template messages via Gallabox API, and logs message activity while updating lead status in…

Excerpt from Rahi Uppal's description on n8n.io.

View the original on n8n.io → Check your own copy

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