Aliyah Lead Discovery Agent

Semantic filtering & immigration lead identification.

Aliyah Lead Discovery Agent
IndustryRecruiting & Lead Gen
ImpactFalse positives cut from 80% to under 10%. Lead qualification down from days to hours.

Overview

Clients needed to identify US-based individuals considering Jewish immigration (Aliyah) to Israel.

The challenge

The keyword "Aliyah" is a common name, resulting in 80%+ false positives. Manual filtering took days per week with high error rates.

The approach

Designed a GPT 4.2 content classification system with 1-10 relevance scoring to semantically distinguish between immigration posts and name mentions, coupled with a 6-step email enrichment waterfall.

The results

  • Reduced false positives from 80%+ to under 10%
  • 12 months of historical data processed
  • Weekly automated monitoring setup
  • Reduced qualification time from days to hours

System snapshots

01LinkedIn Post Scraping Engine
Apify-backed LinkedIn scraper pulls posts matching every keyword variant of "Aliyah" across US-based profiles, captures text, media, reactions, comments, and author info, and exports to JSON ready for semantic classification.
LinkedIn Post Scraping Engine
02Email Enrichment Waterfall
Hunter-backed lookup layer filters high-score profiles by location, industry, and company size, then runs domain pattern search to capture verified emails before the address is confirmed deliverable.
Email Enrichment Waterfall
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