LinkedIn Event Lead Scoring with Periodix Actions, n8n

Turn LinkedIn event intent into qualified leads—automatically in n8n with Periodix Actions

This n8n workflow automates LinkedIn event outreach by finding posts from people who appear to genuinely plan to attend, scoring them against your ICP, and drafting connection notes—so your team spends less time searching and more time converting.

What this workflow does

• Runs daily and loads your event keyword, ICP criteria, score threshold, and post limit from a single config step.
• Searches LinkedIn via Periodix Actions for posts that match your event keyword, returning the authors behind those posts.
• Deduplicates authors and pre-filters by ICP keywords found in the person’s headline or company—before any AI work is triggered.
• Evaluates intent + fit in one AI call: sends the author’s headline, company, and post text to AI to judge real personal intent to attend and ICP fit. If intent isn’t real, the score is kept low regardless of ICP.
• Sends low-scorers to the Cold tab with their score and reason—at no further cost.
• For high-scorers, drafts personalized connection notes directly from the same source post and appends enriched records to the Hot tab.

Use cases

• Event-based lead generation for SaaS teams that attend or sponsor recurring meetups.
• Qualifying LinkedIn prospects for networking campaigns—without paying full AI cost on every mention.
• Building a “Hot” list of high-fit attendees for faster outreach before the event.

Technical details (n8n)

• Verified Periodix Actions node (works on n8n Cloud and self-hosted) to search LinkedIn event posts and return authors.
• AI request nodes for scoring and drafting (Claude by default; OpenAI or Gemini also supported).
• Core n8n workflow nodes including if, set, code, no op, and sticky note.
• Uses HTTP Request for external calls and Google Sheets integration to store Cold/Hot results (connect your Google Sheets account).

Save 80%+ on API and token cost by pre-filtering and only performing AI work where it matters—while still using intent-first scoring for better outreach quality.