140 meetings in 120 days
Multi-platform scraping turned community data into ~$200K revenue
Invisible Audience, No Pipeline
This full-service community trip platform had a strong offering but no way to find their ideal customers at scale. Their audience was scattered across multiple platforms with no centralized way to identify and reach community leaders.
- Target audience scattered across Skool, Whop, Instagram, and other platforms
- No centralized prospect database
- Community leaders hard to identify through traditional data sources
- Previous outreach methods generating minimal results
Multi-Platform Community Intelligence
We built custom scraping infrastructure across Skool, Whop, Instagram, and other community platforms to identify active community leaders with engaged audiences. Combined platform signals with engagement data to prioritize high-value prospects.
Community Pipeline at Scale
Transformed scattered community data into a predictable pipeline machine, generating consistent meetings and revenue from a previously untapped audience.
Phase Breakdown
Week 1-3: Multi-platform scraping infrastructure setup
Week 4-6: Data enrichment and community scoring
Week 7-17: Campaign deployment and scaling
How We Did It
Platform Intelligence
Built custom scrapers for Skool, Whop, and Instagram to identify active community leaders.
Engagement Scoring
Scored prospects by community size, engagement rate, and event history.
Community-Native Messaging
Crafted outreach that spoke the language of community builders, not corporate sales.
Scale and Optimize
Ramped volume on winning segments while testing new community platforms.
Ready for results like these?
Book a strategy call to see how situation-based outbound can transform your pipeline.
