A complete Series A financial model for E-commerce startups. Revenue model, unit economics, hiring plan, cash flow projections, and funding scenarios — structured for investor review.
Projection Horizon
5 years (monthly for Years 1-2, annual for Years 3-5)
Model Tabs
8 core tabs
Format
Excel + Google Sheets
Scalability of the revenue model and efficiency of the go-to-market. Series A investors validate that the growth engine is repeatable and unit economics improve with scale.
Ecommerce models must separate first-order economics from repeat-order economics. Investors will calculate blended CAC payback — if your first order loses money, you need repeat purchases to break even. Show this explicitly.
GMV-based model with take rate, return rate, and fulfillment cost structure. Build customer cohorts tracking first purchase, repeat purchase rate, and declining reorder intervals.
Series A models are reviewed by investment committee analysts. Include a data room version with formula audit trail turned on. Avoid hardcoded numbers in cells — every input should flow from the assumption dashboard.
Three scenarios: upside (125% of plan), base (100%), and downside (70%). Include key assumption levers for each scenario and the capital required in each path.
A Series A E-commerce financial model should cover 5 years (monthly for Years 1-2, annual for Years 3-5) of projections with these tabs: Executive Summary Model, Revenue Model with Cohorts, Unit Economics Dashboard, Headcount Plan by Department, Departmental P&L, Cash Flow Forecast, Funding Scenarios, Sensitivity Analysis. Scalability of the revenue model and efficiency of the go-to-market. Series A investors validate that the growth engine is repeatable and unit economics improve with scale.
GMV-based model with take rate, return rate, and fulfillment cost structure. Build customer cohorts tracking first purchase, repeat purchase rate, and declining reorder intervals. The key revenue drivers are: Gross Merchandise Value (GMV) by category; Net revenue after returns and refunds; Subscription membership revenue (if applicable); Marketplace or third-party seller revenue.
E-commerce unit economics at the Series A stage should include: Average Order Value (AOV) trend; Gross margin by product category; Customer Acquisition Cost (CAC) by channel; Repeat purchase rate and purchase frequency; LTV by customer vintage at 12, 24, 36 months. Ecommerce models must separate first-order economics from repeat-order economics. Investors will calculate blended CAC payback — if your first order loses money, you need repeat purchases to break even. Show this explicitly.
Series A models are reviewed by investment committee analysts. Include a data room version with formula audit trail turned on. Avoid hardcoded numbers in cells — every input should flow from the assumption dashboard. 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.
Three scenarios: upside (125% of plan), base (100%), and downside (70%). Include key assumption levers for each scenario and the capital required in each path.
Get the E-commerce Series A 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