You know that feeling when you spend hours each day manually pulling ad data from Google and Meta, then typing it into your CRM like some kind of digital caveman? Yeah, my client was doing exactly that. Every. Single. Day. So I built them an automation that does it all while they sleep. Here's What This Thing Does: The Morning Trigger Every day at 8 AM, this workflow wakes up automatically. No buttons to press, no remembering to run reports. It just goes. Grabbing the Google Ads Numbers First stop: Google Ads API. It pulls yesterday's campaign data - clicks, impressions, cost, conversions, the whole nine yards. If something goes wrong, it doesn't crash. It just keeps moving. Snatching Meta Ads Performance At the same time (because why wait?), it hits Facebook's Graph API and grabs all the Meta campaign data. Spend, leads, reach, frequency - everything from yesterday gets pulled in. The Smart Processing Part Here's where it gets interesting. Two separate code blocks take all that messy API data and transform it into something actually useful: - Calculates CPC, CPA, and ROAS on the fly - Extracts lead conversions from Meta's confusing action types - Converts Google's weird "micro" currency format into normal numbers - Standardizes everything so it all matches up perfectly Merging It All Together Both data streams meet up in one place. Google campaigns and Meta campaigns, all in one clean dataset, ready to go. Pushing to Their CRM Final stop: Zoho CRM. Every single campaign performance gets sent over as a clean record with the date, campaign name, and all the metrics that actually matter for decision making. The Confirmation Little completion log at the end so we know it all went through. Why This Matters: My client used to spend 2-3 hours every morning doing this manually. Now? It's done before they even open their laptop. They can see yesterday's performance across both platforms in one place, formatted consistently, ready for analysis. No more copy-pasting. No more formula errors. No more "wait, did I already log this campaign?"

You know that feeling when you spend hours each day manually pulling ad data from Google and Meta, then typing it into your CRM like some kind of digital caveman? Yeah, my client was doing exactly that. Every. Single. Day. So I built them an automation that does it all while they sleep. Here's What This Thing Does: The Morning Trigger Every day at 8 AM, this workflow wakes up automatically. No buttons to press, no remembering to run reports. It just goes. Grabbing the Google Ads Numbers First stop: Google Ads API. It pulls yesterday's campaign data - clicks, impressions, cost, conversions, the whole nine yards. If something goes wrong, it doesn't crash. It just keeps moving. Snatching Meta Ads Performance At the same time (because why wait?), it hits Facebook's Graph API and grabs all the Meta campaign data. Spend, leads, reach, frequency - everything from yesterday gets pulled in. The Smart Processing Part Here's where it gets interesting. Two separate code blocks take all that messy API data and transform it into something actually useful: - Calculates CPC, CPA, and ROAS on the fly - Extracts lead conversions from Meta's confusing action types - Converts Google's weird "micro" currency format into normal numbers - Standardizes everything so it all matches up perfectly Merging It All Together Both data streams meet up in one place. Google campaigns and Meta campaigns, all in one clean dataset, ready to go. Pushing to Their CRM Final stop: Zoho CRM. Every single campaign performance gets sent over as a clean record with the date, campaign name, and all the metrics that actually matter for decision making. The Confirmation Little completion log at the end so we know it all went through. The Results They're Actually Seeing: My client used to spend 2-3 hours every morning doing this manually. That's 15-20 hours per week just moving numbers around. Now? It's done before they even open their laptop. But here's what really changed for them: They're making faster decisions. When your data is already sitting in your CRM by the time you start work, you can actually analyze trends instead of just collecting numbers.

Just built a Client Retention & Performance Intelligence Agent — this one feels like having a full-time account manager running in the background. Here’s what it does every week: 1.Pulls client data from your API Names, emails, account age, activity, etc. 2. Pulls automation metrics Usage %, ROI, engagement, time saved, support tickets, workflow count. 3. Calculates a retention score (0–100) Using weighted factors: – automation usage – engagement – ROI – support load – activity 4. Flags at-risk clients If score < 60 → “High Risk” Instantly prepares targeted recommendations. 5.Generates a full weekly report with AI Client-specific insights, ROI breakdown, risks, opportunities, next steps. 6. Emails the report to each client Professional, clean HTML email. 7. Sends a Slack summary to your team So everyone knows which clients need attention. 8. Updates your Google Sheet tracker Latest metrics + retention score logged automatically. This is literally a client success department compressed into one workflow. Once you set it → it runs forever. Any suggestions to make it better?? How much ROI it can produce for you ?

Deployed the same workflow template 12 times last month. 15 minutes each. $9,600 earned. Zero guilt. New freelancer message: "How do you charge $800 for copy-paste?" Fair question. Here's the real answer. WHAT THEY SEE Copy template Change 3 settings Test once Send invoice 15 minutes equals $3,200/hour WHAT THEY DON'T SEE 8 months learning automation 47 failed templates before this one $2,400 in broken tool subscriptions 200+ hours building/testing/breaking Knowing exactly which approach works THE CLIENT MATH Law firm with 200 contracts/month: Before: Paralegal 6 hours/day equals $1,440/month After: Fully automated Annual savings: $17,280 My fee: $800 plus $67/month Their ROI: 2,160% THE CONFIDENCE FACTOR Client: "What if it breaks?" Me: "I've deployed this 47 times. Here's my uptime dashboard." That certainty is worth $800. PRICING EVOLUTION Month 1: $200 (fear-based pricing) Month 3: $400 (market testing) Month 6: $600 (confidence building) Month 9: $800 (value realization) Today: $1,200 (newest clients) THE TEMPLATE ECONOMY Same contract automation deployed for different industries: Legal firms: $1,200 Real estate: $800 Insurance: $600 Small business: $400 Different prices, same 15-minute deployment. ALTERNATIVE APPROACHES Different platforms command different pricing: Zapier: $300-500 range Make.com: $500-800 range n8n: $800-1,200 range Custom code: $2,000+ range You're not selling your time. You're selling their transformation. My current template library: 52 templates Average reuse per template: 8 deployments Revenue per template: approximately $6,400 Time per deployment: 15-45 minutes Total template value over 18 months: $41,600 Redeployment effort: 13 hours total Effective library value: $3,200/hour What breakthrough are you undercharging for?

If you’re building RAG agents in n8n, this is one of the most important tutorials you’ll ever watch. In this step-by-step video, I’ll show you how to build a RAG (Retrieval-Augmented Generation) pipeline completely with no code. This setup automatically keeps your database synced with your source files, so when you update or delete a file, your database updates too. That means your AI agents always search through accurate, trustworthy data instead of outdated information. Without this system in place, you can’t rely on your AI’s answers at all. By the end of this video, you’ll understand exactly how to connect everything inside n8n, Google Drive, and Supabase, even if you’re a complete beginner.