Nine out of ten organisations have increased their AI marketing investments, but only 12% can measure the real impact of that spending. Those two figures come from Comviva's Global CMO Survey Report, and the gap between them is the story.

The numbers are blunt. Budgets are moving. Proof of results is not. For an industry that built its modern measurement stack on attribution models, incrementality testing and dashboards, a 78-percentage-point spread between adoption and accountability raises an obvious question about where the money is actually going.

What does the survey actually say?

Comviva, the customer-experience and monetisation technology vendor, surveyed chief marketing officers across its global customer base and broader market for the report. Two headline findings stand out:

• 90% of organisations have increased their investment in AI for marketing.
• Only 12% can measure the real impact those AI investments deliver.

The report's framing puts the emphasis on that second number. Spending more is easy to announce. Demonstrating that an AI-driven campaign, segmentation model or personalisation engine moved revenue, retention or lifetime value is a different exercise entirely — and according to the CMOs surveyed, almost nine in ten of their organisations cannot do it credibly.

Why does the measurement gap matter?

Marketing has been here before. Every wave of ad technology — programmatic buying, social platforms, mobile attribution — arrived with promises of unprecedented measurability, and each wave left parts of the funnel murkier than before. AI is repeating the pattern at higher stakes, because the investments are larger and the tooling is more opaque.

The 12% figure suggests most marketing organisations are buying AI capability without the instrumentation to judge it. That creates two concrete risks for operators:

• Budget defence. CMOs who cannot quantify impact will struggle to protect AI line items when finance teams demand ROI evidence in the next planning cycle.
• Vendor accountability. Without internal measurement, the vendor's own performance claims become the only numbers in the room.

The survey's implication is that measurement capability, not model capability, is now the scarcer resource inside marketing departments.

Who should act on this?

The report speaks directly to CMOs and marketing-operations leaders at organisations already committed to AI spend — which, per the survey, is nearly all of them. For that audience, the practical reading is straightforward: the competitive differentiator is no longer access to AI tools, since 90% of the market has already bought in. The differentiator is knowing whether those tools work.

Comviva has a commercial interest in that conclusion — the company sells the customer-data and engagement infrastructure that measurement programs run on. Readers should weigh the findings with that context in mind, though the core data point aligns with what other industry surveys have signalled: AI adoption in marketing has outrun the analytics needed to evaluate it.

What comes next?

For marketing leaders, the survey poses a narrow question worth answering before the next budget round: if your organisation sits in the 90%, can you state — with numbers — what the additional AI investment returned? If the answer is no, the 12% who can are setting the benchmark the rest of the market will eventually be measured against.

The full Comviva Global CMO Survey Report is available through PR Newswire.