A complete Series A financial model for Consumer B2c 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.
Consumer models must distinguish organic from paid growth economics. If your model only works with heavy paid UA, it is a red flag. Show the contribution margin from organic cohorts separately — investors want proof the product has inherent pull.
Cohort-based user acquisition model with LTV curves by acquisition vintage. Revenue from in-app purchases, subscription, or advertising driven by DAU/MAU ratio and engagement depth.
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 Consumer B2c 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.
Cohort-based user acquisition model with LTV curves by acquisition vintage. Revenue from in-app purchases, subscription, or advertising driven by DAU/MAU ratio and engagement depth. The key revenue drivers are: Monthly Active Users x ARPU; In-app purchase revenue by user tier; Subscription conversion and retention; Viral growth from K-factor (organic new users).
Consumer B2c unit economics at the Series A stage should include: Customer Acquisition Cost (CAC) by channel; Day-7 and Day-30 retention as LTV predictor; LTV by acquisition cohort at 6, 12, 18 months; LTV:CAC ratio target by channel; Viral coefficient (K-factor) and payback from organic growth. Consumer models must distinguish organic from paid growth economics. If your model only works with heavy paid UA, it is a red flag. Show the contribution margin from organic cohorts separately — investors want proof the product has inherent pull.
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 Consumer B2c 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