SaaS revenue forecasting in spreadsheets ignores cohort behavior — resulting in wildly inaccurate projections. Churn isn't linear but models assume it is. Expansion revenue from upgrades is guessed, not predicted. Investors see through hockey-stick spreadsheet projections that lack statistical rigor.
Statistical revenue forecasting engine that analyzes historical cohort retention curves, expansion patterns, and new customer acquisition rates to project MRR/ARR with confidence intervals — producing investor-grade forecasts.
SaaS founders preparing for fundraising presentations, revenue operations teams forecasting pipeline, and CFOs at subscription businesses needing board-ready projections
SaaS valuations demand rigorous forecasting. Investors are more data-savvy. Billing platform APIs make data accessible. Statistical forecasting tools were previously enterprise-only.
Per-company: $79/mo (up to $500K ARR), $149/mo ($2M ARR + scenarios), $299/mo ($10M+ ARR + team + API). Annual: 20% discount.
Linear assumptions. No cohort analysis, no confidence intervals, misleading
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