Fractional CFOs, Fast Fixes & Smarter Growth
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Salvatore Tirabassi is founder and managing director of CFO ProAnalytics, delivering fractional and interim CFO services to emerging businesses with roughly $3–100 million in revenue. After 15 years in growth equity and venture capital, he became an operator running finance for a high-growth company — then packaged that methodology into a team-based practice. Clients arrive when CEOs lack answers on growth, customer acquisition costs, or sale readiness after years of cash-basis accounting.
Fractional versus interim CFO — Permanent part-time finance leadership for scaling companies versus three-to-six-month fixes before a sale, acquisition, or financing round.
Why in-house finance is expensive — A strong NYC CFO can cost $400K before support staff; Salvatore's team delivers the full function at roughly half the cost with faster impact.
Automation from day one — AI-assisted LinkedIn content, Go High Level CRM (switched from HoneyBook), Coefficient for data aggregation, and Claude in Excel for client reporting.
Quick-win system fixes — Financial reporting automation, customer acquisition cost modeling, and budget-actuals trending in month one — not year-long transformation projects.
Nine business models, any industry — Salvatore's framework for applying financial expertise across e-commerce, SaaS, and services without needing deep vertical knowledge upfront.
Growth constraints and what's next — Referral-driven lead flow, tariff shocks, AI hiring disruption, and the dream of standardized data-ingestion playbooks across clients.
On what clients gain from weekly forecasting:
they knew they were making money, but not where they could put a number in and say, if we do, if we do this correctly this week, and the advertisers do what we want, the results should look like this.
On implementation philosophy:
system innovations need to be like quick wins.
On DIY automation reality:
If you think you're going to do it in five minutes, that's just not going to happen.
On universal business models:
there's only nine of them.
On the service he'd love on call:
an on-call data integrator, data extraction service that you could just call them up and say, Hey, I'm in my, in these three systems and I need this to happen. Can you just do it for me?
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