"Saving" money on rent could be your biggest cost.

The instinct almost every founder has

You're picking a location. One unit is £15,000 a year — £1,250 a month. If everything goes wrong, that's the absolute most you're on the hook for. Another unit, a few doors down or across town, looks better — bigger, busier street, better window — and it's £25,000 a year. The higher number feels like the risk. So the "safe" choice is obvious: take the cheaper one.

But that's answering the wrong question. The real question was never "which rent can I afford." It's "which rent gets me the business I actually need to succeed."

Why the cheap one is usually cheap

There's almost always a reason one unit is £10,000 less than the other, and it's rarely random. It's smaller, or it's in a worse spot for the kind of business you're running — and if you're relying on people simply discovering your shop as they walk past, that second part is everything.

The formula retail actually runs on

Retail isn't complicated once you break it into its real stages. Every one of these has to happen, in order, for a sale to occur:

Worked example — same conversion, different traffic

Two candidate units for a small gifting shop. Same product, same staff, same conversion skill — the only real difference is footfall.

The real exception, stated honestly

This doesn't apply to every business, and it's worth being precise about which ones it doesn't apply to. A hairdresser or a restaurant that runs on bookings and repeat customers converts close to 100% of the people who actually intend to visit — they were coming regardless of who walked past the window that day. For a business like that, footfall matters far less than visibility, parking, or simply being easy to find once someone's already decided to come. Passing traffic is the whole game only for businesses that rely on people discovering them by walking past. If that's not your model, the formula still applies — the inputs that matter most just shift.

How this fits the framework

A retail site's job is Scale — but like any Scale decision, it only earns that job if the underlying economics genuinely support it, modelled before signing rather than assumed. This is the same principle behind a real finding on our Proof page: a retail expansion decision de-risked by modelling three footfall scenarios before commitment, not after.