US fintech secures $12M in funding with an AI marketing engine.
How a growth‑stage US fintech turned content velocity into a fundraising narrative — and closed a $12M round on the back of it.
- Funding raised
- $12M
- CAC
- −34%
- Stack
- Next.js · Claude
- Status
- Live · v3
The client was scaling paid acquisition faster than their small marketing team could produce and test creative. We built an AI marketing engine that drafts, variant‑tests, and personalizes campaign copy against their own performance data — grounded in brand guidelines so nothing goes out off‑voice.
Every generated asset runs through an evaluation pass and a human approval gate before spend is attached, so quality holds up at volume. Within two quarters, customer acquisition cost dropped 34% and the compounding content engine became a headline metric in the investor deck for their $12M raise.
The system ships instrumented end‑to‑end: creative performance, spend efficiency, and model quality all surface in the dashboard the growth team already lived in.