Mobile app startup business plan example

An illustrative mobile app startup example: retention-led economics, store distribution assumptions, evidence gaps and investor questions.

Quick answer

This illustrative mobile example is a subscription consumer app. Its credibility rests on day-30 retention, a paid install cost below lifetime value, and conversion from free to paid that has been observed rather than assumed.

Important note

Illustrative fictional example. This is not a real CEO? customer, and every figure below is a labelled working assumption for illustration — not an observed result, benchmark or projection you should rely on.

Business summary

A fictional solo-founder app helping shift workers plan sleep around irregular rotas. Live on one platform with organic installs only, a free tier, and an untested subscription upgrade.

The problem

Shift workers manage sleep around rotas that change weekly. General sleep and calendar apps assume a stable schedule, so the planning work falls back on memory and improvisation, with real health and safety consequences.

Target customer

Shift workers in healthcare, logistics and manufacturing on rotating patterns, reached individually rather than through employers at this stage. Employer-paid distribution is a later and different business.

Business model

Freemium with a monthly subscription for rota import, forecasting and reminders. Revenue depends on install volume, free-to-paid conversion and subscription retention. Cost is dominated by paid acquisition and store commission.

Go-to-market assumptions

These are the routes to market this fictional business would test first. Each is an assumption until it produces measurable results.

• Organic store optimisation against rota and shift-specific search terms
• Communities and forums where shift workers already discuss scheduling
• Small paid acquisition tests with a hard cost-per-install ceiling
• Later: employer or union distribution, which is a separate sale

Key evidence still needed

The gaps that would stop this plan being credible to an investor, a lender or the founder's own decision-making.

• Day-7 and day-30 retention from organic installs
• Observed free-to-paid conversion, not an industry benchmark
• Cost per install from at least one paid channel
• Whether rota import works across the formats users actually have
• Evidence that the paid features are the ones users value

Financial assumptions to validate

Working assumptions used for illustration only. Each would need to be replaced with observed data before it belongs in a real forecast.

• Assumed free-to-paid conversion rate, currently unmeasured
• Assumed subscription retention of several months with no cohort data
• Assumed cost per install before any paid testing
• Assumed store commission at standard rates
• Assumed no refund or involuntary churn allowance

Questions an investor would ask

The questions this business should be able to answer without hesitation before a first meeting.

• What does your retention curve look like, by cohort?
• What is the cost of a paid install, and what is a user worth?
• Why does someone pay rather than staying on the free tier?
• What is your position if platform rules or commission change?
• Is the real business consumer, or employer-paid?

Common contradictions and risk areas

Where documents in a business like this typically fall out of step with each other, and where the underlying risk sits.

• Installs quoted in the deck versus active users in the plan
• Conversion assumption in the forecast higher than anything observed
• Consumer pricing in the model with an employer sale described in the narrative
• Marketing spend in the forecast inconsistent with the stated install target
• Feature set in the deck ahead of what is actually shipped

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