[REDACTED] — B2B FinTech app · UA (multi-geo program: UK, Brazil) · Meta
$400→$130customer acquisition cost
CAC cut from $400 to $130 by firing the junk funnel
ORIGINAL FILE TITLE — $400 → $130 CAC: Scaling a B2B FinTech App via Funnel Architecture & Creative Strategy | Meta
B2B
THE PROBLEM
One pixel trained on freebie-seekers. A "junk drawer" funnel where webinar tourists and real buyers looked identical to the algorithm. Lead-to-qualified rate stuck at 9–12%, CAC around $400.
THE SYSTEM
- →Separated pixels and funnels by intent — stopped teaching Meta that freebie-seekers are customers
- →Killed the webinars. Conditional lead forms that qualify before the sales call
- →CRO landing rebuilt around the real comparison: "Us vs Excel"
- →Pain/avatar matrix; founder-fronted and AI-avatar video system for volume
THE NUMBERS
| Metric | Before | After |
|---|---|---|
| CAC | ~$400 | $130–200 |
| Lead → Qualified | 9–12% | 30–40% (peak 49.2% Lead→SQL) |
| Click → Lead CR | 4% | 8–12% |
CAC down ~60%, qualified-lead rate tripled. The sales team stopped drowning in junk.
INSIDE THE FILE
Funnel triage — scale or kill
- ›Webinar funnel (low intent): tested, then killed — Register → Wait → Watch pitch → Book demo could never hit CAC targets
- ›Lead forms (medium/high intent): scaled with strict conditional qualification — up to 40% qualification rate
- ›Book-a-demo (high intent): prioritized for qualified B2B users
- ›Landing page (high intent): CRO-rebuilt and angle-matched per avatar
The pain/avatar matrix behind the ads
- ›Angles built on real business pains: cash-flow gaps, mixing personal and business money, not knowing which projects are profitable, being lost in endless Excel sheets
- ›Segments: agency owners, e-commerce founders, service businesses — each got its own headlines and landing variations
- ›Creative system: AI-avatar videos, founder-led explainers, comedic finance videos, animated statics for complex features
- ›AI avatars validated angles cheaply before investing in bigger founder shoots
LESSON FROM THE FILE
In B2B SaaS the algorithm is only as good as the data you feed it. Mix freebie-seekers with high-intent demo users in one pixel and Meta optimizes for noise. Clean the funnel, qualify hard, match every angle to a real business pain.
THE EVIDENCE
