Phi

Revenue Workflow

Keyword Engagement Outbound

Track conversations around chosen keywords on LinkedIn, pull everyone who engages, enrich them, score by fit, and route qualified contacts into call tasks or automated sequences.

OperationalTime to value · 3 to 4 weeks6 tools

The outcome

Converts public social engagement into qualified outbound pipeline without manual list building.

How it flows

How it flows.

Source
Keyword List
Process
Monitor LinkedIn
Process
Scrape Engagement
Process
Likes
Process
Comments
Process
Reposts
Process
Company Enrichment
Process
Contact Enrichment
Agent
AI Scoring
Output
Tier 1: Call + LinkedIn
Channel
Tier 2/3: Email Sequence
Channel
LinkedIn Outreach
Channel
Email Sequences
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    Build it, step by step

    Build it, step by step.

    1. 01

      Pick your keyword list

      Choose 5 to 10 keywords that signal buying intent: category terms, competitor names, pain points in buyer language. These become the trigger for post extraction.

      • Category terms (e.g. 'RevOps automation')
      • Competitor brand names
      • Use case phrases (e.g. 'scaling outbound')
      • Pain points your ICP talks about
      • Feed this list into Clay's LinkedIn search
    2. 02

      Pull matching posts

      Clay searches LinkedIn continuously for new posts containing your keywords. Each match lands in Clay with post URL and author profile.

      • Clay runs keyword searches against LinkedIn feed
      • Extracts post URL, author name, author profile
      • Creates a live stream of category conversations
      • New posts trigger the downstream workflow
    3. 03

      Scrape all engagement

      For every matched post, Clay scrapes likes, comments, and reposts. This identifies people actively participating in relevant discussions.

      • Scrape likes from each post
      • Scrape comments + commenter profiles
      • Scrape reposts + reposter profiles
      • Each engager becomes a row in Clay
      • Engagement type is tagged for routing
    4. 04

      Enrich company and contact

      Clay and Findymail enrich each engager with firmographic data and verified email. This converts social signals into structured lead records.

      • Clay enriches: company domain, size, industry, geo
      • Clay enriches: contact title, LinkedIn URL
      • Findymail verifies email + mobile
      • BetterContact runs waterfall if needed
      • Output: outreach-ready lead records
    5. 05

      Score and tier

      ChatGPT or a formula scores each lead on ICP fit and engagement strength. Output is Tier 1, 2, or 3, which determines routing.

      • Send enriched profile to ChatGPT prompt
      • Score on ICP fit (title, company size, industry)
      • Score on engagement type (comment > repost > like)
      • Output: Tier 1 / Tier 2 / Tier 3
      • Tier drives next action
    6. 06

      Route by tier

      Tier 1 contacts get a call task and multi-profile LinkedIn outreach. Tier 2 and 3 go into automated email sequences.

      • Tier 1: create task in CRM for cold call
      • Tier 1: HeyReach sends LinkedIn connection from multiple profiles
      • Tier 2 + 3: route to Lemlist for email sequence
      • All routing happens inside Clay or via API
      • Responses flow back to CRM

    The stack

    The stack.

    Want a pod to run this for you?

    Phi pods plug this workflow into your existing stack as Revenue Infrastructure, then operate it.