How We Cut Customer Acquisition Cost by 45% in 30 Days
Using AI-powered lead scoring and personalized email sequences. Results in 30 days.
📋 Contents
⚡ The fix
AI lead scoring + HugeMails personalization
-45%
CAC reduction
1. The problem: CAC was killing them
A B2B SaaS startup (HR tech) was spending €15,000/month on LinkedIn ads and cold email. They were acquiring 136 customers/month → CAC = €110.
With an average MRR of €49, payback period was 27 months. Unsustainable.
The math:
€110 CAC / €49 MRR = 27 months to break even
2. AI lead scoring: stop wasting budget on bad leads
We analyzed 6 months of historical data (1,200 leads, 136 conversions). We identified 12 behavioral signals that predicted conversion:
- ✅ Visited pricing page (3.2x more likely)
- ✅ Downloaded case study (2.8x)
- ✅ Opened >3 emails (2.1x)
- ✅ Company size 50-200 employees (1.9x)
We built a simple lead scoring model (0-100). Cut off: only score >60 receive sales calls. Low scores receive automated nurture.
3. Email personalization at scale
Using HugeMails, we created 5 dynamic email sequences based on:
- 📌 Industry (HR tech, fintech, SaaS)
- 📌 Pages visited
- 📌 Content downloaded
- 📌 Engagement level
Example: Visitor reads "GDPR compliance" blog → receives email about their GDPR features. CTR: 14% (vs generic 4%).
4. 30-day results
Before
€110
CAC
27 months payback
After
€60
CAC
12 months payback
📊 Summary
- CAC reduction: 45%
- Sales calls: -60% (only high-scored leads)
- Conversion rate: +82% (from 11% to 20%)
- Monthly ad spend: €15k → €9k
🚀 Want to reduce your CAC?
Start with lead scoring and email personalization. You don't need complex AI – just data and the right tools.
Browse email tools →