How a sole-practitioner bookkeeper going independent could build a retainer base from zero web presence.
A sole-practitioner bookkeeping and payroll firm · Modelled scenario, conservative inputs
Modelled outputs of the assumptions below, not measured results.
The scenario
The scenario: a bookkeeper with years of practice or industry experience goes independent, offering bookkeeping and payroll on a monthly retainer. Day one reality: no website, no Google Business Profile, no reviews, no web presence at all. Every early client has to come from word of mouth, which caps growth at whoever happens to call.
The modelling question: in a town where roughly 150 people a month search for bookkeeping and payroll help, what does going from zero presence to a visible, reviewed local firm do to retainer income? The conservative inputs are below.
What the system runs in months 1-6
Starting from zero web presence, this is what the system runs in months 1-6. For a sole practitioner the aim is a steady drip of retainer clients, not a flood.
Retainer economics change the shape of the maths: less than one new client a month still compounds, because every client keeps paying every month.
The modelled results
Run the assumptions through the calculator formula and the model produces 0.9 new retainer clients a month: about 11 clients by the end of year one, which at €300 a month each is a modelled €3,240 of monthly recurring revenue by month 12. On the calculator's year-one convention that is €38,880 of modelled first-year revenue, and €155,520 of modelled lifetime value at a 4-year average client lifetime.
For a sole practitioner going independent, the model is deliberately unheroic: a small search pool, a modest share, an entry-level retainer. The compounding comes from retention, not volume.
Prefer your own inputs? Run the same maths in the Value Calculator →
All figures on this page are modelled, not measured. They are produced by the same formula as our Value Calculator (monthly searches x share captured x close rate x client value x client lifetime) using the conservative assumptions listed in the table above. This scenario does not describe a real client engagement, and no outcome is guaranteed: your searches, market and numbers will differ. On a free call we swap these inputs for your real ones.