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Built an n8n and HubSpot RevOps automation demo that streamlines inbound lead qualification and sales routing.
Workflow overview
Captures inbound leads from web forms and Meta Lead Ads.
Normalizes phone numbers and extracts company information.
Uses AI to evaluate leads against an ideal customer profile (ICP).
Creates or updates contacts in HubSpot.
Routes qualified leads into the sales pipeline.
Sends instant notifications to sales representatives.
Directs lower-scoring leads into a nurture path.
Tools: n8n, HubSpot CRM, AI integrations, webhooks.
This is a portfolio demonstration built to showcase the workflow architecture and automation approach, not a claimed client deployment.
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A LinkedIn connection is not a lead. A reply is not a client.
The real opportunity is in what happens between those two moments.
Most businesses approach LinkedIn as a prospecting platform.
But successful client acquisition requires a complete system:
→ Profile Positioning: Make your profile communicate who you help and why they should trust you.
→ Ideal Client Research: Define your ICP, identify decision-makers, and understand their business challenges.
→ Targeted Prospecting: Use Sales Navigator to find relevant companies instead of collecting random contacts.
→ Strategic Visibility: Publish useful content, demonstrate expertise, and build credibility before reaching out.
→ Personalized Outreach: Start conversations around relevant business needs—not generic sales pitches.
→ Consistent Follow-ups: Build a natural sequence that moves conversations forward without becoming pushy.
→ Lead Qualification: Identify genuine interest, business needs, and decision-making authority.
→ Meeting Conversion: Make the next step clear and turn qualified conversations into booked calls.
→ Proposal & Closing: Present a relevant solution, clarify the scope, and move toward a decision.
I’ve mapped this journey into a 16-step LinkedIn Client Acquisition Framework, covering:
• Profile optimization
• ICP and prospect research
• Connection request strategy
• Content and lead magnets
• Four-message DM framework
• Sales Navigator prospecting
• Meeting booking
• 30-day execution plan
• Weekly performance tracking
• Proposal-to-client conversion
One principle sits behind the entire process:
Don't optimize for more connections. Build a system that creates better business conversations.
I'm curious:
Which stage creates the biggest challenge for you—finding the right prospects, getting responses, or converting conversations into clients?
SaleCraft | Crafting Opportunities.
#Linkedin #SalesFunnel #ClientAcquisition
The space between a reply and a client is where most outreach dies. What moves a replier to a booked call for you: a value asset first, or a direct ask?
For a client overwhelmed by Upwork applications, I delivered an end‑to‑end n8n workflow. It pulls new applicants via the Upwork API, scores each with Groq AI, logs results in Google Sheets, and pushes qualified candidates into their CRM while scheduling interviews automatically. Notifications are sent to Telegram, so they only intervene when a strong match appears. Stack: n8n, Webhook, HTTP Request, Upwork API, Groq, Google Sheets, Telegram. The solution cuts roughly 20 minutes of manual review per applicant.
Follow for more: https://go.phonezait.de/
Processing incoming PDF attachments and logging key email data manually takes hours of tedious, repetitive work. Every time a new invoice, quote, or report lands in your inbox, you have to manually open the email, download the PDF, read through dense pages to extract important details, format the data, and log it into Google Sheets row by row.
Which one is faster, saves more time, and prevents mistakes?
1 voted
25%
3 voted
75%
4 votes
Closed
The manual-vs-automated framing is clear, but I'm curious how the workflow copes with PDFs that don't share a layout, like scanned invoices versus quotes. Do you parse them with a fixed template or an extraction step, and what happens to rows it can't read confidently?