Glossary
generalFinanceMarketingAI

ROI

Also: ROI, Return on Investment, Rate of Return, RSI (Retour sur Investissement), Retour sur Investissement

Return on Investment: the ratio of net profit to the cost of an investment. A 300% ROI means each dollar invested returns $3.

What It Is

ROI (Return on Investment) measures the financial gain from an investment relative to its cost. It expresses net profit as a percentage of the money spent, giving a single, comparable figure across projects of different sizes.

The standard formula is:

ROI = (Net Profit / Cost of Investment) x 100

Where Net Profit = Total Gain, Cost of Investment. A positive ROI means the investment created value; a negative ROI means it destroyed value. A 300% ROI means each dollar invested returned three dollars of net profit (four dollars back in total).

Why it matters

ROI is the common language of investment decisions. It lets leaders:

  • Compare unlike options, such as a marketing campaign versus a data platform versus an AI pilot.
  • Justify budgets to boards and stakeholders in objective terms.
  • Prioritize where limited capital and attention should go.

Its strength is simplicity. Its weakness is that a raw ROI figure ignores time (a 50% return over one month is very different from 50% over five years) and risk. For that reason it is often paired with time-aware metrics like NPV and IRR.

How it is used in practice

  • Define costs fully. Include not just direct spend but implementation, training, licensing, and ongoing maintenance.
  • Attribute gains carefully. Isolate the value the investment actually caused, ideally against a baseline or control.
  • Set a time window. State the period over which returns are measured so figures stay comparable.
  • Be explicit about assumptions. Small changes in attribution can swing ROI dramatically.

Across tracks the discipline differs. A CFO treats ROI as a capital allocation tool. A CMO uses ROAS and campaign ROI to defend spend. A CDO builds ROI cases for data infrastructure whose returns are often indirect. An AI leader estimates ROI for LLM deployments where costs (compute, tokens, integration) are clear but benefits (time saved, quality lift) need measurement frameworks.

Worked Example

A team deploys an AI support assistant.

  • Cost: $200,000 (build, licensing, training) over one year.
  • Gain: $800,000 in reduced support labor and faster resolution.

Net Profit = $800,000 - $200,000 = $600,000.

ROI = ($600,000 / $200,000) x 100 = 300%.

Each dollar invested returned three dollars of net profit. To judge quality, compare this against the cost of capital and alternative uses of the same $200,000.

ROI = (Net Profit / Cost) x 100Cost invested$200,000Total return$800,000Net profit$600,000ROI = 600,000 / 200,000 = 300%
A $200,000 investment returning $800,000 total yields $600,000 net profit and a 300% ROI.