Aliyah Lead Discovery Agent
Semantic filtering & immigration lead identification.
Recruiting & Lead GenAliyah Lead Discovery Agent
Overview
An immigration services firm needed to identify US-based individuals genuinely considering Aliyah, immigration to Israel. The problem: Aliyah is also a common first name, so raw keyword search buried real leads under people who simply carry the name.
The challenge
The signal was drowning in the noise.
- 80%+ of raw keyword matches were name mentions, not immigration intent.
- Manual filtering consumed days every week and still let errors through.
- Qualified leads surfaced too slowly to act on while intent was fresh.
The approach
- Semantic content classification reads every post and distinguishes immigration intent from name mentions, scoring relevance 1 to 10.
- Monitors LinkedIn posts across keyword variations, filtered US-wide.
- A 6-step email enrichment waterfall finds contact details for every qualified lead.
- Processed 12 months of historical data first, then switched to weekly runs that fire on their own.
The results
- False positives reduced from 80%+ to under 10%
- Qualification time cut from days to hours
- 12 months of historical data processed and classified
- Weekly monitoring runs with a 6-step email enrichment waterfall
System snapshots
01LinkedIn Post Monitoring Engine
The monitoring engine pulls LinkedIn 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.
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.