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Client Problem:
Manual lead follow-ups were slowing down response time. Leads were not being segmented properly, and content delivery was inconsistent.
What I Did:
Built advanced n8n automation workflows
Integrated webhook-based lead capture system
Created conditional lead routing and segmentation
n8n automation, webhook automation, lead capture automation, workflow automation, API integration, lead nurturing automation, backend automation, Google Sheets automation, Google Drive integration, email automation, CRM automation, business automation
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
I'll be honest — my last three posts flopped.
Took me a minute to see why. I'd been writing hot takes when I should've been writing what actually helps.
Here's a small automation I shipped last week that none of my "big" posts will beat for value:
A client kept losing meeting notes. Calls in Google Meet, transcripts in their inbox, action items nowhere. Standard SMB chaos.
The fix:
Google Meet transcript → n8n webhook → GPT extracts action items + owner → posts to their Slack channel + appends to a Notion database.
Now every meeting ends with a clean action list, automatically assigned. They stopped using the word "follow-up" in calls.
Not glamorous. Not contrarian. Just useful.
What's the smallest automation that made the biggest difference in YOUR work? Drop it below — I'm collecting ideas for clients. 👇
#n8n #Automation #Productivity
Title: Your data is not the problem. The structure is.
Most business owners I speak to are not short on data.
They have spreadsheets. Exports. Reports sent every month. Numbers sitting in three different files that nobody looks at after the first week.
The real problem is not missing data — it is data that cannot be read quickly enough to change a decision.
A 5,000 row export tells you nothing at a glance. But a single dashboard showing revenue by channel, top performing SKU, and pending payments — that changes how a founder spends the next hour.
I have seen this pattern across CA firms, D2C brands, and small businesses. The data exists. The structure does not.
Clean structure means:
One place for all numbers
Metrics linked to actual decisions
Flags that tell you when something needs attention — not just what the current state is
If your data lives in scattered sheets and nobody is acting on it, the issue is not the data. It is the system around it.
That is exactly what I fix.
Great definition of your niche!
Agentic AI Workflow for Real Estate Lead Enrichment (USA)
I built a production-grade, engineering-first workflow that turns minimal “clues” (company name, property address, or Tax ID) into a structured owner/contact dossier.
Stack: self-hosted n8n, OpenAI (GPT-5), Airtable (UI + database), Google Search, RealTrack (closed system)
Input → Output: 1–3 clues in → a complete enriched profile in ~60–120 seconds (with citations/links to sources) ready for sales outreach and due diligence.
The Problem (How the team worked before)
The client’s manual process looked like “crossfire research”:
- Find a company name + street / Tax ID
- Open multiple platforms/tabs
- Cross-check signals, collect evidence
- Compile a dossier in spreadsheets/CRM
This was slow (20–45 minutes per request), error-prone, and hard to scale.
I delivered an end-to-end agentic workflow that automates the same multi-platform research the team did manually — but faster and with consistent formatting.
1. ~90% reduction in pre-call research time per lead
2. ~60–120 seconds per lookup vs 20–45 minutes manually
3. ~$0.02 per enrichment request (token cost; excluding optional external services)
4. Self-hosted n8n: dramatically lower operational costs vs cloud pricing at scale
Amazing job Oleh!
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