Freemium Viability Calculator

Freemium works when paying users generate enough revenue to cover cost to serve all users — free and paid — plus room for product and support. Low conversion or high infra cost per free user breaks the model quickly.

This calculator estimates paying users from conversion rate, revenue from paid ARPU, and costs across total users.

Freemium works when paying users generate enough revenue to cover cost to serve all users — free and paid — plus product and support. Low conversion or high infra cost per free user breaks the model quickly.

Compare with saas pricing calculator for paid-tier margin and LTV vs CAC breakeven calculator for acquisition.

Paying users = 1,500 (3% of 50,000). Monthly revenue = £27,000 at £18 per paying user.

Serving all users costs £22,500 at £0.45 each. Estimated profit ≈ £4,500 — viable on these inputs but only 16.7% margin on revenue.

Raise conversion to 4% or cut cost per user and economics improve sharply — small assumption changes matter.

Serving all users costs £22,500 at £0.45 each. Estimated profit ≈ £4,500 — viable but only ~16.7% margin on revenue.

Raise conversion to 4% without changing costs and profit roughly doubles — small assumption changes move freemium from weak to workable.

Usage caps, feature gates, time-limited trials, or sales-assisted upgrade paths reduce free-user tax.

If margin is thin, measure cost per active free user separately — dormant accounts distort averages.

Before launching free at scale, model at expected conversion from comparable products — not founder hope or vanity signup targets.

When cost per user rises with AI inference or storage, free bases that looked viable at £0.20/user may break at £0.80 without pricing or cap changes.

If margin on paying revenue is thin in this tool, test usage caps, time-limited trials, or sales-assisted upgrade instead of unlimited free.

Assuming viral growth will fix weak conversion later. Underpricing paid tier so conversion must be unrealistically high.

Ignoring support tickets from free users in cost per user.

Assuming viral growth fixes economics — cost to serve all users scales with signups even when conversion stays flat.

Using signup conversion instead of active-user conversion — dormant accounts distort viability if you count them at full cost.

Launching freemium before saas pricing calculator confirms paid tier margin on delivery.

Paying users = total users × (conversion rate ÷ 100). Revenue = paying users × revenue per paid user. Total user cost = total users × cost per user. Profit = revenue − total user cost.

Cost per user should include infra, support, and email for all users unless you segment free vs paid cost explicitly.

Profit margin on revenue = profit ÷ revenue — low margin means little room for CAC and fixed engineering.

Limit free usage on costly features — API calls, seats, or storage are common levers.

Improve activation to paid with in-product prompts tied to value moments, not generic upgrade banners.

Reduce cost to serve free users via caching, async jobs, and self-serve support deflection.

Raise paid ARPU through packaging — see saas pricing calculator for tier margin.

Move heavy users to paid tiers automatically when usage crosses cost thresholds.

Model cost per free user separately if AI or storage spikes on free — blended £0.45/user hides £2 heavy users and £0.05 inactive accounts.

If profit margin on paying revenue is below 20% in this tool, freemium leaves little room for LTV vs CAC breakeven calculator targets — tighten free limits before scaling acquisition.

Usage caps that trigger upgrade at 80% of free limit often beat unlimited free with 2% conversion — test conversion and cost together.

Update cost per user when infra or AI usage shifts — free tier cost spikes silently.

Track conversion and ARPU together — either can fix weak profit without the other moving.

Confirm paid-tier margin in saas pricing calculator before scaling free acquisition.

Cap free-tier usage (storage, API calls, seats) before scaling ads — unbounded free users with £0.50/month infra each destroy viability faster than low conversion rates.

Measure time-to-conversion by cohort — free users who never activate core value within 14 days rarely convert; fix onboarding before buying more top-of-funnel volume.

Model paid-tier price changes in saas pricing calculator whenever free-tier cost per user rises — sometimes paid price must move, not only conversion optimisations.

Free users who open tickets consume support capacity — allocate support cost per free user or cap support channels on free tier before scaling acquisition.

Self-serve docs and in-app guidance reduce free-tier support load; model that investment as part of freemium COGS, not only engineering hosting.

This page should target freemium calculator, freemium viability, free to paid conversion calculator, freemium unit economics, and SaaS freemium model searches.

It estimates paying users, paid-user revenue, total user-serving cost, profit, and margin from total users, conversion rate, paid ARPU, and cost per user. It does not model activation cohorts, viral loops, free-tier limits, support tiers, paid acquisition, product-led sales motion, or per-feature usage caps.