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I will build a saas financial model and valuation for your startup
Data Analyst , Financial Analyst, Financial Engineer
Financial Analyst & Data Analyst | 5+ Years of Experience
Data is a liability until it’s analysed, but it’s an asset when it’s modeled. I specialize in turning raw data into investor-ready financial...
About this Gig
Are you a SaaS founder struggling to present realistic financial projections to investors or make sense of your churn, CAC, and growth numbers?
Most SaaS startups fail to attract investors not because of the idea, but because their financial model doesn't reflect how a SaaS business actually grows. I specialize in building clear, data-backed financial models tailored specifically for SaaS businesses from pre-revenue startups to scaling B2B products.
With my model, you'll understand exactly:
- How MRR and ARR evolve with churn and acquisition costs
- When you'll hit breakeven
- How pricing, churn, or marketing budget changes affect your valuation
- What your runway looks like under different growth scenarios
Each SaaS Financial Model comes with automated calculations, visual dashboards, and investor-ready metrics (LTV, CAC, payback period, churn, burn rate, etc.).
Let's turn your SaaS data into a story an investor can believe in.
My Portfolio
FAQ
What tools do you use to build the financial model?
I typically use Excel or Google Sheets for flexibility, and can integrate with Power BI or Tableau for visual dashboards if needed.
Can you include churn, CAC, and LTV analysis in the model?
es — every SaaS model I deliver includes those KPIs by default, with dynamic sensitivity options.
Will the model be editable?
Absolutely. You’ll receive a fully editable model with labeled assumptions so you can adjust growth, churn, or pricing without formulas breaking.
Can you create investor slides along with the model?
Yes. The premium package includes an investor summary sheet. A separate pitch deck add-on is also available.
What if I don’t have historical data yet?
No problem — I can build a bottom-up model using realistic assumptions for early-stage startups and adjust it as data comes in.
