Agency and service business plan example

An illustrative agency business example: utilisation, pricing model, dependency risk, evidence gaps and the questions investors and lenders ask.

Quick answer

This illustrative agency example sells project-based delivery to a defined client type. Its credibility rests on realistic utilisation, pricing that reflects delivery cost, and a plan for the client concentration and founder dependency that most small agencies carry.

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 three-person agency delivering technical implementation projects for mid-market clients. Revenue is project-based, referral-driven, and concentrated in two clients.

The problem

Clients need short bursts of specialist delivery capability without hiring permanently. Generalist suppliers are cheap but slow to become useful; large consultancies are expensive and poorly suited to small engagements.

Target customer

Operations and technology leaders at mid-market companies with a defined project need and budget authority up to a moderate threshold, buying on trust and speed rather than through formal procurement.

Business model

Fixed-price projects with an optional monthly retainer. Profitability depends on utilisation, estimation accuracy and the ratio of billable to non-billable time. The retainer is the route to predictable revenue but changes the delivery discipline required.

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.

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.

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.

Questions an investor would ask

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

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.

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