This n8n workflow automates LinkedIn lead discovery by analyzing comments on posts for high-intent prospects. It uses SerpAPI to search for relevant posts and ConnectSafely to fetch comments safely. AI (GPT-4o-mini) is used to score each lead's buying intent from 0-100. The workflow then stores the enriched lead data in Google Sheets for easy tracking and follow-up. Key features include automatic post discovery, intent scoring, and Google Sheets integration. Slack notifications alert teams of high-priority leads. The automation eliminates manual scraping, saving time and increasing efficiency. Ideal for sales teams, growth marketers, and RevOps specialists. Requirements include SerpAPI, ConnectSafely, Azure OpenAI, and Google Sheets accounts. Focus on qualified LinkedIn prospects without manual effort.

This automation prioritizes sales leads using engagement and recency data. It fetches lead information automatically from Google Sheets. Days since last contact are calculated for every lead. A priority score is generated using engagement and recency weights. All leads are sorted to surface the most important ones first. The top 10 highest-priority leads are selected automatically. Optimal follow-up time is suggested based on each lead’s timezone. Actionable follow-up tasks are created directly in ClickUp. Google Sheets is updated to mark leads as queued. This ensures faster follow-ups and higher conversion rates.

This automation continuously monitors customer reviews submitted via Google Forms.It automatically triggers when a new response appears in Google Sheets.Each review is sent to an AI model for deep text analysis.The workflow identifies customer intent such as praise, complaint, or suggestion.It analyzes sentiment as positive, negative, neutral, or mixed.A quality score from 1–10 is assigned to every review.A concise AI-generated summary is created for quick understanding.Original customer data and AI insights are merged together.All enriched results are saved back into Google Sheets.This provides real-time, structured customer feedback without manual analysis.

This automation builds a production-grade Stripe Financial Reporting workflow using n8n and Slack. It automatically runs on monthly and quarterly schedules without manual effort. The workflow fetches Stripe charges and refunds for the correct reporting period. It calculates total revenue, refunds, net revenue, MRR, and ARR. Customer insights like top customers and unique buyers are generated. Payment methods are analyzed to show revenue distribution by card type. Risk analysis highlights low, medium, and high-risk transactions. Refund behavior and refund reasons are summarized clearly. All insights are formatted into a clean, readable Slack report. This removes spreadsheets and delivers reliable finance insights automatically.

This automation monitors lead response SLAs and escalates unreplied leads automatically.It runs every 5 minutes using an n8n Cron trigger.The workflow fetches lead records from Google Sheets.It checks for leads marked unreplied for more than 15 minutes.Each lead is enriched with a direct Google Sheet access link.Structured SLA breach alerts are generated with full lead context.Alerts are sent instantly to Telegram for escalation.Every lead is evaluated independently without manual checks.The system enforces strict response-time compliance across teams.Result: automated SLA monitoring with zero missed or delayed leads.