Measuring AI ROI: From Cost Sheets to Revenue Proof

What happenedThis article addresses the challenge of proving AI's return on investment, especially when AI tool bills are precise but revenue impact is unclear. It proposes a workflow-level approach to AI ROI reporting, emphasizing the need to define accepted outputs and business results before attributing financial benefits, and to account for all costs including setup and maintenance.

Why it matters for marketersThe real AI ROI isn't just in cost savings from recovered hours, but in demonstrating how those hours translate into tangible business outcomes that finance can recognize. Without this clear link, AI investments risk remaining an unproven expense.

Topics: ai roi, marketing analytics, ai investment