Every immigration firm doing paid acquisition is paying $80-$200 per qualified consultation because they're targeting intent signals that everyone can buy. Aliro was at $112 per lead and bleeding budget on consultations that never converted. The insight wasn't a better ad. It was a scoring model that filtered 18,000 people through 7 simultaneous intent dimensions - before a single outreach message was written.
Day 1
Audience research, signal mapping
7-layer scoring model drafted
Day 21
First live campaign
89% open rate - permission-grade deliverability
Day 45
Scoring model tightened
CPL drops from $4 to $0.80
Day 90
Scaled run
18,000 qualified leads at $0.30 each
The AI Qualification System
Seven intent filters. Every lead that exits has cleared all seven simultaneously.
1Visa status + expiration windowPrimary buy signal
2Employment + role change velocityUrgency marker
3Language pairs + origin countryFit filter
4Recent location changesMovement signal
5Degree recognition + credentialsEligibility gate
6Family compositionContext layer
7Industry + visa availability this quarterTiming trigger
Only when all 7 align →
$0.30 / lead
The Challenge
The right buyers existed. The system to qualify them at scale didn't.
Before Deep-Y
$112 / lead · low intent
Paid ads delivered volume without precision. Sales disqualified more calls than they closed. No single signal could identify a ready buyer.
After Deep-Y
$0.30 / lead · 18K qualified
A 7-layer scoring model that fires only when all signals align: visa expiry, role change, language, location, degree status, family, industry quota.
Building that 7-layer model and wiring outreach on top of it was the only path to $0.30 per qualified lead at this scale - and to a sales team that only ever spoke with people ready to act.
90%
email open rate on follow-up sequences · 18,247 leads scored on all 7 layers · zero paid spend after the first 30 days
7-layer ICP scoring - precision qualification at scale
$0.30/lead
Immigration intent is structurally hidden: visa expiration windows, employment role changes, language pairs, recent location moves, degree recognition status, family composition, and industry visa availability this quarter. We built a scoring model across all seven layers simultaneously. A lead that scores on 5 of 7 is still a bad lead. Only the full stack signals genuine readiness to buy now.
"18,000 qualified leads at 30 cents each. Their AI qualification layer filtered so precisely that our sales team only spoke to people genuinely ready to buy."
Peter Achin
CEO, Aliro Immigration
The Approach
How we built the system
I saw [Company] posted a [job title] role in [city] last week. Candidates with [origin country] backgrounds often qualify for Express Entry faster than they expect — but the intake window closes quarterly. Worth 10 minutes to find out?
8
Personalization signals per email
$0.30
Cost per qualified lead
18,247
Qualified leads
Zero paid spend
$0.30
Cost per lead
23× below prev. agency
90%
Inbox open rate
Industry avg: 22%
AI signal-based targeting · 50+ data sources · No paid acquisition
01
Intent-based lead identification
Built an AI system identifying high-intent immigration prospects across 50+ signal sources - search behavior, community activity, life event indicators.
02
AI qualification layer
Every lead scored by a model trained on Aliro's closed-won data. Only leads above the intent threshold were passed to outreach.
03
Multi-channel outreach
High-intent prospects entered a personalized email + LinkedIn sequence with 90% inbox placement, tuned for the immigration context.
04
Cost optimization
Weekly iteration on targeting and messaging drove cost per qualified lead to $0.30 - without sacrificing quality.
Under the Hood
How 18,000 leads at $0.30 were actually generated
The Aliro lead generation system was built around one insight: immigration buyers signal their intent weeks before they search Google. We built a system to intercept that signal.
01
Signal stack design
12 behavioral signals predicting immigration intent - LinkedIn connections to Israeli founders, job title shifts to Israel-adjacent roles, visa-related search behavior via intent partners. Each signal weighted, then combined into a composite score.
02
Audience construction
Rolling lists of 200-400 high-signal prospects built weekly via Apollo, LinkedIn Sales Nav, and custom intent data - rebuilt from scratch each week, no stale contacts. 18,400 unique contacts reached over 6 months.
03
Multi-channel automation
5-step sequence across email + LinkedIn. Each touchpoint referenced the specific signal that triggered it - "I saw you connected with 3 Israeli founders last week."
04
Cost precision
$0.30/lead from three factors: AI-written personalization (no copywriter), 100% organic outreach (no ad spend), and 98% list accuracy (no domain penalty). Produced 18,000 leads.
The Result
What the numbers looked like
18,000 qualified leads at $0.30 each. 90% email open rate on follow-up sequences. Aliro's team only spoke to people genuinely ready to start their process - conversion rate from lead to consultation tripled.
