A complete Seed financial model for SaaS startups. Revenue model, unit economics, hiring plan, cash flow projections, and funding scenarios — structured for investor review.
Projection Horizon
3 years (monthly for Year 1, quarterly for Years 2-3)
Model Tabs
7 core tabs
Format
Excel + Google Sheets
Path to Series A metrics and the unit economics that prove the business model. Seed investors model the path from current to Series A-level KPIs.
SaaS models must build a separate cohort tab. Each quarterly vintage tracks its own retention curve. Investors will reconstruct your NRR from cohort data — make sure the math is consistent with your ARR bridge.
Subscription-based MRR/ARR model with new customer acquisition, expansion revenue (upsell/cross-sell), and churn tracking. Build separate cohort sheets for each customer acquisition vintage.
Seed models should have a clearly documented assumption page. Every assumption should include a source (comparable company benchmark, customer interview data, or market research). Avoid top-down market share assumptions.
Show base case (on-plan), downside (50% of plan), and recovery timeline from downside. Include a Series A readiness milestone tracker showing the KPIs required to raise.
A Seed SaaS financial model should cover 3 years (monthly for Year 1, quarterly for Years 2-3) of projections with these tabs: Assumptions Dashboard, Revenue Cohort Model, Unit Economics, Headcount Plan, P&L Summary, Cash Flow Forecast, Series A Bridge. Path to Series A metrics and the unit economics that prove the business model. Seed investors model the path from current to Series A-level KPIs.
Subscription-based MRR/ARR model with new customer acquisition, expansion revenue (upsell/cross-sell), and churn tracking. Build separate cohort sheets for each customer acquisition vintage. The key revenue drivers are: New MRR from new customers (volume x ACV); Expansion MRR from existing customers (NRR - 1.0 component); Gross churn MRR (churned logo count x average ACV); Net new ARR bridge month-by-month.
SaaS unit economics at the Seed stage should include: Customer Acquisition Cost (CAC) by channel; CAC Payback Period (months to recover CAC at gross margin); Lifetime Value (LTV) at cohort gross margin; LTV:CAC ratio target (3:1 minimum for Series A); Gross Revenue Retention and Net Revenue Retention. SaaS models must build a separate cohort tab. Each quarterly vintage tracks its own retention curve. Investors will reconstruct your NRR from cohort data — make sure the math is consistent with your ARR bridge.
Seed models should have a clearly documented assumption page. Every assumption should include a source (comparable company benchmark, customer interview data, or market research). Avoid top-down market share assumptions. Start with the smallest unit of your business (one customer, one transaction, one seat) and build up from there. Every assumption should have a source or benchmark you can defend in an investor meeting.
Show base case (on-plan), downside (50% of plan), and recovery timeline from downside. Include a Series A readiness milestone tracker showing the KPIs required to raise.
Get the SaaS Seed financial model as a pre-built Excel and Google Sheets template. Assumptions dashboard, revenue model, unit economics, and cash flow — ready to customize.
Includes Excel file, Google Sheets version, and model documentation guide