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Here's what this month taught me: the best automation isn't the fanciest one, it's the one that actually runs.
I've seen beautifully built systems fail because nobody checked if they actually worked end to end. And I've seen simple ones outperform because they were tested, verified, and trusted.
Lesson: build less, but verify everything.
If your CRM or automation looks set up but you're not 100% sure it's actually working, that's worth a second look.
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One of our clients lost 20% of their website traffic. That was the right outcome.
Their site was organized around who they are and who they serve. Almost nothing about what the product does.
So we rebuilt the website around the product, with each item named after what it does. The customers page was built as a trust center, because in compliance software nobody signs before they trust you
Every one of those choices narrowed who the site talks to. Traffic was going to fall.
Three months on:
Page views: down 20%
Clicks: down 26%
Clicks per user: up 8%
Conversions: up 7%
Fewer visitors. More of the right ones.
Traffic is the easiest number to grow and the easiest one to panic about. A quarter where views and clicks both drop looks like failure on a dashboard. It was the quarter this site started converting better.
Decide who a website is for, and you have decided who it loses.
If your traffic fell 20% next quarter and demos went up, would your leadership call that a win or a problem?
If you're a VP of Marketing with a website rebuild you cannot afford to get wrong, connect with me.
One of our clients lost 20% of their website traffic. That was the right outcome.
Their site was organized around who they are and who they serve. Almost nothing about what the product does.
So we rebuilt the website around the product, with each item named after what it does. The customers page was built as a trust center, because in compliance software nobody signs before they trust you
Every one of those choices narrowed who the site talks to. Traffic was going to fall.
Three months on:
Page views: down 20%
Clicks: down 26%
Clicks per user: up 8%
Conversions: up 7%
Fewer visitors. More of the right ones.
Traffic is the easiest number to grow and the easiest one to panic about. A quarter where views and clicks both drop looks like failure on a dashboard. It was the quarter this site started converting better.
Decide who a website is for, and you have decided who it loses.
If your traffic fell 20% next quarter and demos went up, would your leadership call that a win or a problem?
If you're a VP of Marketing with a website rebuild you cannot afford to get wrong, connect with me.
🚀 My First AI Automation Project with n8n
I recently built my first automation project — an AI-Powered Invoice Extraction & Tracking System.
The problem I wanted to solve was simple:
Imagine a business receiving dozens of invoices or cash memos every week. Someone has to open each file, read the information, and manually enter the vendor name, date, items, total amount, and category into a spreadsheet.
That’s repetitive, time-consuming, and easy to get wrong.
So I built a workflow where:
📂 An invoice is uploaded to Google Drive
→ 🤖 Gemini AI reads and extracts the invoice data
→ ⚙️ n8n processes and validates the information
→ 📊 The data is automatically added to Google Sheets
The best part?
No manual data entry. Just upload the invoice and the rest happens automatically.
While building it, I also worked with things like workflow triggers, loop control, API errors/retries, and handling multiple files.
For me, this project was less about simply “building an n8n workflow” and more about learning how AI + automation + data workflows can solve real business problems.
This is just my first step into AI automation, and I’m excited to build more practical systems like this.
If your business has a repetitive process that could be automated with AI, n8n, or data workflows, feel free to DM me. I’d be happy to discuss it.
#AIAutomation #n8n #Automation #ArtificialIntelligence #DataAnalytics #DataAnalyst #WorkflowAutomation #GenerativeAI #BusinessAutomation #AI
Smart pipeline! Have you added strict JSON schema validation after Gemini extracts the invoice fields? Found that it stops edge case hallucinations before the data ever hits Sheets.