An automated email drip campaign in n8n that runs a full 7-day lead nurturing sequence — across multiple lead sources — with zero manual intervention. Here's what it does: ━━━━━━━━━━━━━━━━━━━━ THE SYSTEM ━━━━━━━━━━━━━━━━━━━━ Two lead capture forms (Tally + Jotform) feed into a single Google Sheet as the lead database. Every submission triggers an immediate acknowledgment email, then the system auto-schedules 2 follow-ups: • Email #1 — Immediate (Thanks + acknowledgment) • Email #2 — Day 2 (More info + Calendly link) • Email #3 — Day 4 (Last touch — any questions?) A Schedule Trigger runs hourly, checks which leads are "due," and routes each lead through a Switch node to the correct email step. ━━━━━━━━━━━━━━━━━━━━ WHAT MAKES THIS DIFFERENT ━━━━━━━━━━━━━━━━━━━━ Most drip campaigns are one-way. This one LISTENS: → A Gmail trigger watches for replies every minute → When a lead replies, it matches them in the sheet → Their status flips to "replied" → sequence stops instantly → A Slack notification fires: "🎉 {Name} replied about {Service Interest}!" No more emailing someone who already responded. No "you look spammy" moments. ━━━━━━━━━━━━━━━━━━━━ EDGE CASES I HANDLED ━━━━━━━━━━━━━━━━━━━━ • Invalid emails → Regex validation → marked as "error" • Batch processing → 10 leads at a time → no Gmail rate limits • Unsubscribe link in every email → webhook → instant removal from the sequence • Error Trigger → Slack alert + email alert with the failed node name and error stack • Timezone-aware scheduling → Africa/Cairo → next_email_date calculated precisely • Retry logic → 3 retries with 5s delay on every Google Sheets operation ━━━━━━━━━━━━━━━━━━━━ THE STACK ━━━━━━━━━━━━━━━━━━━━ • n8n (orchestration) • Google Sheets (lead DB) • Gmail API (send + monitor) • Tally.so + Jotform (lead capture) • Slack (alerts) ━━━━━━━━━━━━━━━━━━━━ WHY I BUILT THIS ━━━━━━━━━━━━━━━━━━━━ I was auditing lead-handling for a real estate client. They had 300+ leads sitting in a spreadsheet — 60% had never

Hey everyone 👋 First real post here. I've been learning from a lot of you silently, and I just finished my first production-grade automation. Wanted to share the build and get your feedback. The Problem Small businesses capture leads via forms, then **manually copy the data into their CRM**. This means wasted hours, duplicate contacts, and a CRM nobody trusts. What I Built An n8n workflow that: 1. Receives form submissions via webhook 2. Normalizes the data 3. Searches CRM for existing contact by email 4. Updates if exists / Creates if not (deduplication) 5. Creates a deal associated with the contact 6. Sends a Slack notification to the sales team 7. Logs everything in a Google Sheet (audit trail) 8. Error Trigger → Slack alert + fallback sheet if anything fails The Workflow [Webhook: POST /crm-sync] ↓ [Set: Normalize fields] ↓ [HTTP Request: GET /contacts/search by email] ↓ [IF: contact exists?] ├── YES → [HTTP Request: PATCH /contacts/{id}] └── NO → [HTTP Request: POST /contacts] ↓ [HTTP Request: POST /deals] ↓ [Slack: Notify sales team] ↓ [Google Sheets: Append audit log] [Error Trigger] → [Slack: Alert] → [Google Sheets: Fallback save] Tech Stack - n8n (self-hosted on Railway) - Tally.so (form) - HubSpot CRM (REST API v3) - Slack (incoming webhook) - Google Sheets (audit log + fallback) What I Learned 1. API docs are everything — reading HubSpot's docs took longer than building the workflow. 2. Error handling is not optional — broke the API key on purpose to test. Silent failures are unacceptable for a paying client. 3. Test with bad data — missing fields, duplicates, special characters. Each edge case found a bug. 4. Audit logs build trust — the Google Sheet isn't just for debugging. It's what makes the client feel in control. What's Next - Two-way sync (CRM → Google Sheets back) - AI lead scoring (form data → OpenAI → route by score) - WhatsApp Business API notifications If you made it this far, thanks for reading. Any feedback, criticism, or "you should've done X instead" is welcome — that's how I'll get better. 🙏

Hey everyone! 👋 ​I am an Odoo Functional Expert specializing in core modules, migrations, and custom configurations. I blend this with backend automation using n8n and Make.com to build seamless workflows (like auto-syncing CRMs or processing vendor bills via AI). ​If any agency owner here has extra client projects or needs a reliable backend sub-contractor to handle the technical heavy-lifting remotely, let’s connect! ​Drop a comment or DM me. Let's build something efficient together! 🚀

I’ve decided to start my journey in AI Engineering, specifically the Agentic AI track, but I’m feeling a bit confused and could really use some guidance. My goal is to learn this field in a way that helps me land a full-time remote job, not just build small projects or do freelance work. The main thing I’m struggling with right now is: Should I focus on no-code tools like n8n and rely on them?Or is it better to start with programming and build a strong foundation first? I want to start the right way and build a solid base for myself, but I’m not sure what the best path is. I’d really appreciate any advice from people with experience—where should I start, and how should I approach this journey? Thank you all in advance 🙏