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How to compare software costs over three years, not three months

A tool that's cheap this month can be expensive by year three. Comparing software on the sticker price misses how costs grow. Here's how to compare over the right horizon.

3 min read
hidden costs of software development

The short answer: compare software over three years, not three months, because the cheap-today option often becomes the expensive one as your team grows, your volume rises, and the workarounds pile up. A one-off number that looks big can be the cheaper choice once you look at the full horizon.

The short version

  • Monthly-price comparisons flatter tools whose costs grow with you.
  • Per-seat and per-transaction models scale their take as you succeed.
  • Custom's up-front cost is fixed; a fitted system's running cost is often flatter.
  • Three years is long enough to reveal which option actually costs less.

Why does three months lie to you?

At three months, a per-seat tool with a few users and low volume looks cheap. And it is — right now. But its pricing is designed to scale with you: double your team and the bill roughly doubles, triple your sales and the transaction cut triples. The short view captures the entry price and hides the trajectory. It's the software equivalent of judging a loan by its honeymoon rate. Three months tells you what you'll pay while you're small; three years tells you what you'll pay once the tool has done its job and you've grown. Only one of those is the number you actually live with.

What are the two curves?

Picture two lines on a chart. The first is a scaling off-the-shelf tool: it starts low and climbs as you grow, and running alongside it is a rising pile of workaround hours as the tool strains against a bigger, more specific operation. The second is a fitted system: it starts higher up front because of the build cost, then runs flatter, and the workaround hours fall toward zero because the tool actually fits. Somewhere in the first couple of years, the lines usually cross. Before the crossover, the cheap tool wins. After it, the fitted system does — and it keeps winning, because the gap widens every year the flat line stays flat while the climbing line keeps climbing.

How do you run the comparison properly?

  • Project your size in three years — headcount, locations, transaction volume. Be realistic about where you're actually heading.
  • Cost each option at that future size, not today's — including per-seat growth and per-transaction scaling. This is the step most people skip, and it's the one that matters most.
  • Add the workaround hours for each — they stay high for the ill-fitting tool and fall for the fitted one. Use hours per week × people × 52 × their cost, over three years.
  • Include the up-front build cost for custom — spread across the three years so you're comparing like with like.
  • Factor in switching costs — if the cheap tool doesn't scale, add the cost of migrating off it partway through.

This is really just total cost of ownership put on the right time axis. TCO tells you what to count; the three-year horizon tells you over what period to count it.

What usually happens when you do this?

For a small, stable business with standard needs and no real growth plans, the cheap off-the-shelf tool often wins even at three years — and that's the right answer. Not everything needs a custom system, and pretending otherwise would be dishonest. For a growing business with a specific operation, though, the fitted system frequently wins, because it doesn't tax your growth the way per-seat pricing does and it removes the hidden hours instead of multiplying them. The three-year view is what makes the difference visible; at three months, both look fine.

Doesn't the future size feel like guesswork?

It's an estimate, not a crystal ball — but a rough, honest projection beats no projection at all. You know roughly whether you're planning to hire, open sites, or push volume. Even a conservative guess at your three-year size, applied to each option's pricing model, tells you far more than comparing today's sticker prices. And if you genuinely can't predict growth, that itself is a signal: a flat-priced system you own carries less risk than one whose cost you can't forecast.

The honest first step

An honest three-year comparison needs two things most owners haven't quantified: their real growth trajectory and their current workaround hours. Mapping your operation surfaces both, so the comparison is built on real numbers instead of hope. Software should fit the business, not the other way round.

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