Calculate AI ROI
AI Marketing ROI Framework
The AI Marketing ROI Framework calculates the net value of an AI application by setting time saved, additional output, performance improvement and revenue impact against implementation cost, running cost and the cost of quality risks.
The model
- 1Current process cost
- 2AI implementation cost
- 3Time saved
- 4Additional output
- 5Performance improvement
- 6Revenue impact
- 7Risk and quality cost
- 8Net AI value
Developed by Markaigen · Updated
What each part means
- Current process cost
- Hours per month times the loaded hourly cost of the people doing the work today.
- AI implementation cost
- One-off set-up, integration and training, plus the monthly licence or usage.
- Time saved
- The share of hours the AI removes; count only time that is reused for other work.
- Additional output
- Extra campaigns, variants or content you could not produce before, valued at what they earn or replace.
- Performance improvement
- Better conversion, response or ranking attributed to the AI step, measured against a baseline.
- Revenue impact
- The money effect of extra output and better performance, not the activity count.
- Risk and quality cost
- Rework, errors, review time and the expected cost of mistakes reaching customers.
- Net AI value
- Gains minus all costs, per month and per year, with the months until the set-up cost is paid back.
How to use it
- Measure the current process for two weeks before you estimate anything.
- Enter conservative numbers first; if the case only works with optimistic numbers, it is not ready.
- Recalculate after the pilot with measured values and keep both versions.
Calculate the net AI value
Fill in your numbers for one process. The result shows the monthly net value, the payback time and the first-year result.
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