A complete Pre-Seed financial model for Consumer B2c startups. Revenue model, unit economics, hiring plan, cash flow projections, and funding scenarios — structured for investor review.
Projection Horizon
18 months
Model Tabs
5 core tabs
Format
Excel + Google Sheets
Cash runway, burn rate, and the key milestones that unlock your next round. Pre-seed investors focus on whether you have enough runway to prove the thesis.
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.
Build every assumption from first principles. Pre-seed investors will ask "how did you get to this number?" for every major line. Have a clear answer that ties back to market research or comparable benchmarks.
Model two scenarios: (1) raising your target amount, (2) raising 70% of target. Show what milestones you hit in each case and when you need to start the next raise.
A Pre-Seed Consumer B2c financial model should cover 18 months of projections with these tabs: Assumptions Dashboard, Revenue Model (monthly), Headcount Plan, Cash Flow Forecast, Runway Sensitivity. Cash runway, burn rate, and the key milestones that unlock your next round. Pre-seed investors focus on whether you have enough runway to prove the thesis.
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 Pre-Seed 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.
Build every assumption from first principles. Pre-seed investors will ask "how did you get to this number?" for every major line. Have a clear answer that ties back to market research or comparable benchmarks. 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.
Model two scenarios: (1) raising your target amount, (2) raising 70% of target. Show what milestones you hit in each case and when you need to start the next raise.
Get the Consumer B2c Pre-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