A complete Seed financial model for PropTech 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.
PropTech models must include interest rate sensitivity analysis. Most residential transaction volume is correlated with mortgage rates. Show 3 scenarios: current rates, rates +200bps, and rates -200bps. Investors will ask about this immediately.
Transaction volume model driven by market penetration, average transaction size, and take rate. Build a market-by-market cohort model showing unit economics improvement as you establish density in each geography.
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 PropTech 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.
Transaction volume model driven by market penetration, average transaction size, and take rate. Build a market-by-market cohort model showing unit economics improvement as you establish density in each geography. The key revenue drivers are: Transaction count x average transaction value x take rate; Subscription or data service revenue; Marketplace listing or advertising fees; Referral or lead generation revenue.
PropTech unit economics at the Seed stage should include: Revenue per transaction and take rate trend; Transaction acquisition cost (agent, buyer, seller); Contribution margin per transaction after direct costs; Market density metrics (transactions per zip code per month). PropTech models must include interest rate sensitivity analysis. Most residential transaction volume is correlated with mortgage rates. Show 3 scenarios: current rates, rates +200bps, and rates -200bps. Investors will ask about this immediately.
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 PropTech 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