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How Much Should a Small Business Spend on Technology?

A practical way to right-size technology spending for a small business, based on outcomes and return rather than a magic percentage of revenue.

By Karani Geoffrey, Founder & CEO, Upeosoft
In short

There is no universal percentage. Right-size technology spend by outcome: spend where software removes real cost, error, or lost revenue, and hold back where it does not. Judge each purchase on total cost of ownership over three years against the return it produces, not on the monthly sticker price.

Key takeaways
  • There is no magic percentage of revenue. The right number depends on what technology is fixing and what that is worth.
  • Spend on outcomes, not tools. A system that removes a costly, recurring problem earns its budget; a tool nobody needs does not.
  • Judge every purchase on total cost of ownership over three years, not the monthly price.
  • Underspending is a real cost too. Manual work, errors, and lost time are a hidden technology bill you already pay.
  • Spend most on the systems core to how you compete, and keep those spends connected so data is not re-keyed.
  • Protect data ownership and export in every purchase, so today's spend does not become tomorrow's trap.

Why the percentage question is the wrong question

Founders often ask what percentage of revenue they should spend on technology, hoping for a number they can budget against. It is an understandable question with an unhelpful answer, because no single percentage fits every business.

Two companies with identical revenue can have completely different technology needs. One might run on a handful of cheap tools; another might depend on software for the thing that makes it competitive. A benchmark percentage tells you what other businesses spend, not what your business should spend.

The better question is not "what is the right number" but "what is each investment worth to me." Answer that for each decision, and the total budget emerges from real reasoning instead of a guess borrowed from someone else's business.

Spend on outcomes, not on tools

Technology spending goes wrong when it is organized around tools rather than outcomes. It is easy to accumulate subscriptions, each individually cheap, that collectively drain money without moving the business.

Start from the outcome instead. What costly, recurring problem are you trying to remove. How much does that problem cost you now in time, errors, or lost revenue. A system that removes a genuine, expensive problem earns its budget many times over. A tool that solves a problem you do not really have is pure cost.

This reframing also stops you spending on technology for its own sake. New software is not automatically progress. Spending is justified by the outcome it produces, and if you cannot name the outcome, you are not ready to spend.

Count the total cost of ownership

Every technology decision has a headline price and a real price, and they are rarely the same. The monthly subscription or the quoted build cost is only the start.

The real cost over three years includes setup and configuration, migrating your existing data, training your team, building integrations to your other systems, per-user fees as you grow, and the cost of switching if it does not work out. A tool that looks cheap can be expensive once all of this is counted.

Comparing options on their headline prices leads you to the wrong answer confidently. Compare them on total cost of ownership over the horizon you actually care about, and the cheapest option often turns out to be the most expensive one.

  • Include setup, migration, and training, not just licenses.
  • Model per-user pricing at the size you expect to be, not today's size.
  • Count the cost of integrating the tool with your other systems.
  • Factor in the cost of leaving if the tool does not keep up.

The hidden cost of spending too little

The instinct to keep technology spending low feels prudent, but it often hides a larger bill. Underspending does not remove cost; it relocates it into places that never show up on an invoice.

When a team keys the same data into three systems by hand, that is a cost. When errors from manual work cause rework, refunds, or lost trust, that is a cost. When a slow process makes you lose a sale to a faster competitor, that is a cost. You are already paying a technology bill; it is just paid in wasted hours and missed revenue instead of software.

Sometimes the highest-return decision available to a founder is to spend more, because the manual workaround you are tolerating costs more every month than the system that would replace it. Right-sizing spend means looking at both sides: the cost of the software and the cost of not having it.

Weigh spend against return, in money

The cleanest way to decide how much to spend on any given piece of technology is to put both sides in the same units: money, over the same period.

On one side, estimate the return: hours saved and what they are worth, errors avoided, revenue captured, cost removed, all over three years. On the other side, the total cost of ownership over the same three years. If the return clearly beats the cost, the spend is justified, regardless of what percentage of revenue it represents.

This discipline does two things. It gives you a real basis for saying yes to spends that look expensive but pay back, and it gives you the confidence to say no to cheap tools that produce no measurable return. Return, not price, is what makes a technology purchase good or bad.

Concentrate spend where you compete

Not all technology deserves equal investment. The systems that are core to how you win are worth more of your budget than the commodity tools everyone uses the same way.

For commodity work, such as email or basic bookkeeping, buy something reasonable and cheap and stop thinking about it. Reserve your real investment for the processes that are your advantage, where fit and control genuinely matter. Overspending on commodities and underspending on your core is a common and costly imbalance.

There is a second reason to concentrate spend deliberately: connection. Money spread across disconnected tools produces silos, and silos force manual re-keying that eats the savings you were chasing. Spending that keeps your core systems talking to each other returns far more than the same money scattered across tools that ignore one another.

Protect the value of what you spend

A technology spend is only as good as its durability. Money spent on a tool that traps your data or cannot connect to anything is money at risk, because the day you outgrow that tool, you pay again to escape it.

Protect every purchase with two commitments from the vendor: you can export all your data cleanly at any time, and the system can integrate with your others through a real interface. Those two things keep today's spend from becoming tomorrow's trap. They mean you can change your mind, add new tools, and grow without starting over.

Think of it as spending for optionality. The best technology investments not only return value now but leave you free to make new choices later. Lock-in quietly destroys the value of a spend by removing your ability to change course.

How to set your number

Put it together and the budget builds itself. List the processes that cost you the most in waste and the ones most central to how you compete. For each, estimate the return of fixing it and the total cost of ownership of the fix over three years. Fund the ones where the return clearly beats the cost, starting with the biggest gaps, and keep those systems connected so data flows instead of being re-typed.

What you will not have is a tidy percentage of revenue, and that is fine. You will have something better: a spend justified by outcomes, sized to your business rather than someone else's benchmark, and protected against lock-in.

At Upeosoft we both build custom software and implement platforms like ERPNext, so we help founders decide not just what to spend but whether to spend at all on a given problem. If you want an honest read on where technology will actually pay back for your business, and where it will not, talk to us before you commit the budget.

Frequently asked questions

What percentage of revenue should a small business spend on technology?

There is no reliable universal figure, and chasing one is a mistake. A software business and a hardware retailer with the same revenue have very different needs. Instead of a percentage, size each investment against the specific cost or lost revenue it removes, and let the total follow from those decisions.

Is it possible to spend too little on technology?

Yes, and it is common. Underspending does not save money; it moves the cost into manual work, mistakes, slow processes, and lost sales. Those are a real bill you pay every month without seeing it on an invoice. Sometimes the highest-return decision a founder can make is to spend more, not less.

How do I know if a technology purchase is worth it?

Estimate the outcome in money: time saved, errors avoided, revenue captured, or cost removed, over three years. Compare that to the full cost over the same period, including setup, migration, training, and integration. If the return clearly beats the total cost, it is worth it. If you cannot articulate the return, pause.

Should I buy the cheapest option to keep costs down?

Not automatically. Price is one line in the total cost. Cheap tools can cost more once you add migration, integration, downtime, and the eventual switch when they fail to keep up. Judge the full three-year cost of ownership and the return, not the headline price. Cheapest and lowest-cost are not the same thing.

Where should a small business spend first?

On the process that is either costing you the most in waste or is most central to how you compete. Fix the expensive, recurring pain first, then invest in the systems that are your advantage. Spread money thinly across tools nobody needs, and you get cost without return.

Karani Geoffrey
Karani Geoffrey
Founder & CEO, Upeosoft

Karani Geoffrey is the Founder & CEO of Upeosoft, a software and automation company rooted in Kenya. He builds custom software, AI systems, and production-grade ERPNext for businesses across East Africa, and writes about the Kenyan realities - eTIMS, M-Pesa, SHIF, unreliable internet and power - that make or break real systems.

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