What you'll do with it
Forecast a SaaS, subscription, or services business. Two modes:
- Aggregate. Inputs for growth rate, conversion, churn, contract length, billing cycle, revenue per subscriber. Best for consumer, SMB, or midmarket SaaS where revenue comes from statistical churn across many users.
- Pipeline-based. List specific customers and contracts, each with size, contract length, billing cycle, close probability, start date, expansion, and churn. Best for enterprise SaaS, services, consulting, and agencies, where revenue depends on a small number of large contracts.
Either way, outputs MRR, ARR, bookings, billings, revenue, deferred revenue, and LTV. Intentionally simple. No expenses, no income statement. Just the revenue side, clean.
When to use this vs. the Standard Financial Model
Focused tool for SaaS and enterprise revenue mechanics. If you need full financial statements, expenses, hiring, and cap table, use the Standard Financial Model. Same revenue logic plus everything else.
Edit with AI
Every cell open. Inputs in blue, formulas in black. Built to be edited.
- Context primer. Paste it into Claude or ChatGPT before you make a change.
- Prompt guide. Ready-made prompts for setup, switching modes, and scenarios.
- Hemrock Skill. A drop-in Claude Agent Skill that loads this model's sheet map, prompts, and checks into any Claude Project. Free, with no connector to set up.
- MCP server. On ChatGPT, Cursor, or another tool? The MCP server feeds the same context to any AI that speaks MCP.
- Verify before you trust. The sanity-check prompts catch hallucinated numbers and wrong references.
Common questions
Why download this when AI can forecast SaaS for me?
AI will produce a SaaS forecast that looks right, and subscription mechanics (cohort churn, deferred revenue, MRR versus billings) are a common place for it to be subtly wrong. This gives it a structure where that accounting already holds, so it customizes instead of reinventing it.
Aggregate or pipeline, which mode do I need?
Aggregate if revenue comes from statistical churn across many users (consumer, SMB, midmarket). Pipeline if it depends on a handful of large contracts (enterprise, services, agencies). You can switch between them, so start with whichever fits and change later.
Is it too complex to use?
No, this is deliberately the simple one: just the revenue side, no expenses or statements. If you need the full picture, the Standard Financial Model has the same revenue logic plus everything else.
Excel or Google Sheets?
Both. All formulas open, no macros.
Documentation