Watch It in Action
The Play
1
Identify competitor content
Find LinkedIn posts from competitor company pages, executives, and industry influencers that discuss problems your product solves. Focus on posts with high engagement (50+ reactions).
2
Extract engagers
Pull everyone who liked, commented on, or shared those posts.
3
Enrich contacts
Run the engager list through Deepline’s waterfall enrichment to get verified work emails, current job titles, company info, and LinkedIn profiles.
4
Score and filter
Filter to your ICP: target titles (VP Sales, Head of RevOps, GTM Engineer), company size, industry. Score by engagement depth — commenters > likers.
5
Route to sequences
Push qualified leads into your outreach tool with personalized context: the specific post they engaged with and what they said.
Invoke in Claude Code
How It Works Under the Hood
- Apify LinkedIn scraper extracts post engagers (likes, comments, shares)
- Crustdata or LinkedIn enrichment resolves full profiles from engagement data
- Email waterfall (Dropleads → Hunter → LeadMagic → others) finds verified work emails
- AI scoring filters to ICP and ranks by engagement signal strength
Scoring Framework
What to Expect
Results vary by competitor post engagement volume and your ICP filters. A high-engagement post (100+ reactions) yields more raw engagers; tight ICP filters reduce the final list but improve quality.Cost Estimate
- LinkedIn scraping: ~$1-10 per 1,000 profiles via Apify (varies by actor and data depth)
- Email waterfall: ~0.3 credits per contact (waterfall stops at first match)
- Total depends on post engagement volume and enrichment hit rate
Variations
- Influencer audience mining — Target posts from industry thought leaders, not just competitors
- Event attendee enrichment — Same pattern but with conference/webinar attendee lists
- Community member targeting — Extract active members from Slack communities or Discord servers
Email Waterfall → | Multi-Signal Outreach → | I Have X, I Want Y →