Executive Summary

Many indie founders, micro teams and small SaaS companies lack a reliable way to translate pricing decisions into cash flow: they guess tier thresholds, underestimate payment processor and marketplace fees (15–30% for app stores, plus ~2.9% + $0.30 card fees), and misforecast trial conversion and churn, which leads to missed revenue and poor product decisions. With roughly 12 million small software businesses globally, even small forecasting errors compound quickly over a 12‑month horizon and create a high-cost learning loop for teams that cannot afford consultancy help. The product would be a lightweight web app that lets teams model tier structures, fee schedules, taxes, trial behavior, conversion funnels and churn to produce a 12‑month revenue forecast and MRR profile under multiple scenarios. Key features include cohort and sensitivity analysis, scenario comparison, A/B pricing experiment generator, CSV export and integrations to import historical data from Stripe, Paddle or app stores; the MVP can be built with templated industry presets for indie tools, B2B SaaS and marketplaces. This market is attractive now because of structural trends: a subscription-first economy, growing numbers of indie developers, and a shift toward data-driven pricing—all reflected in an estimated $120B addressable market (12M businesses × ~$10K potential annual spend) and strong qualitative scores (Market Score 88/100, Revenue Potential 86/100). Low-cost, self-serve tools are displacing high-fixed-cost consultancies for these buyers. It can stand out by modeling the real economics that matter to small teams—accurate fee and liquidity impacts, easy non-analyst UX, industry templates and anonymized benchmarking so users can compare realistic ranges rather than rely on rules of thumb. Honest challenges are customer acquisition cost for a long tail of small buyers, establishing trust in forecast accuracy versus real outcomes, and competing with mid‑range analytics tools; a pragmatic go‑to‑market (freemium + paid scenarios) and early partnerships with payment platforms will be critical to validate assumptions and scale.

Executive Summary

Market Opportunity

Stop guessing app prices - simulate tiers, fees and 12-month revenue targets a $120B = 12M small software businesses x $10K potential annual spend on pricing/analytics total addressable market with medium saturation and a year-over-year growth rate of 8-12% annual growth in app economy and SaaS tool adoption.

Key trends driving demand: Subscription-first monetization -- more apps rely on recurring revenue, increasing demand for pricing experimentation; Indie developer growth -- more solo and micro teams need low-cost decision tools rather than enterprise consultancies; Shift to data-driven pricing -- teams want evidence-based forecasts, not rules of thumb; Platform fee volatility -- changes in store/processor fees drive re-evaluation of pricing models.

Key competitors include ProfitWell (Price Intelligently / Metrics), ChartMogul, Paddle, Spreadsheets + Stripe/Processor fee calculators (workaround).

View Plans

Stop guessing app prices - simulate tiers, fees and 12-month revenue

Executive Summary

Stop guessing app prices - simulate tiers, fees and 12-month revenue

Executive Summary

Market Validation

Market Opportunity

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