SaaS Finance Metrics Reference vs Sales Forecasting Model

SaaS Finance Metrics Reference

By Dean Peters (PM)

Fast lookup guide for 32+ SaaS metrics, formulas, and benchmarks—no finance degree needed.

Sales Forecasting Model

By Mohit Agarwal (PM Skills)

Build a structured sales forecast from your pipeline with stages, conversion rates, and scenarios.

SaaS Finance Metrics Reference

• Provides formulas and benchmarks for 32+ SaaS metrics including revenue, churn, LTV, CAC, NRR, and Rule of 40
• Flags red flags for each metric so you know when numbers signal trouble
• Organizes metrics into four categories: revenue & growth, unit economics, capital efficiency, and efficiency ratios
• Offers quick decision frameworks for common scenarios like 'Should we build this feature?' or 'Is this customer segment healthy?'
• Compares metrics across channels and customer segments so you can allocate resources wisely

Sales Forecasting Model

• Builds a stage-by-stage pipeline model with conversion rates and cycle times
• Generates upside, base, and downside revenue scenarios from current pipeline
• Calculates pipeline coverage ratio to assess forecast confidence
• Creates an assumption log documenting deal size, close rates, and seasonality
• Runs activity-based sanity checks to confirm targets are achievable with current capacity

Reach for SaaS Finance Metrics Reference when…

• You're preparing for a board meeting or investor call and need to refresh your metrics vocabulary
• You're in a business review and someone asks 'What's our CAC payback?' or 'What's a good NRR?'
• You need to evaluate whether a product decision will improve unit economics
• You're comparing marketing channels or customer segments and want to know which metrics matter most

Reach for Sales Forecasting Model when…

• You're preparing a quarterly revenue forecast for board or investors
• You need to assess whether your pipeline is strong enough to hit targets
• You're a founder building your first structured sales forecast
• You need to defend your forecast with scenario analysis and documented assumptions