How to build a revenue forecast investors trust: bottom-up drivers, sales capacity, conversion rates, and the common failure modes to avoid.
A revenue forecast is the single most-scrutinized part of a startup financial model. Get it wrong and every downstream number — hiring, burn, runway — is wrong too.
Top-down starts from a market size and picks a share ("1% of a $10B TAM"). Investors ignore it. Bottom-up starts from the inputs you actually control: reps hired, quota per rep, ramp time, close rate, ACV. That's the forecast that gets funded.
For SaaS: new logos per month, ACV, net revenue retention, churn. For usage-based: active accounts, usage per account, price per unit. For marketplaces: GMV, take rate, buyer/seller growth. Pick 3-5 drivers, tie every revenue number to them, and stress-test each.
If a rep closes $600K/year at full ramp with a 6-month ramp, a rep hired in January contributes ~$300K that year. Hiring 4 reps in Q1 does not add $2.4M — it adds ~$1.2M. Investors will do this math; you should too.
Hockey-stick growth with no driver justification. Assuming every hire ramps instantly. Ignoring churn on the base. Using the same conversion rate at 10x scale. Forecasting revenue that requires 5x current pipeline coverage without a plan to build it.
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