Marketers Rethink Measurement As AI Reshapes The Data Landscape

Marketers Rethink Measurement As AI Reshapes The Data Landscape

Marketers Rethink Measurement As AI Reshapes The Data Landscape

https://www.forbes.com/sites/garydrenik/2026/06/04/marketers-rethink-measurement-as-ai-reshapes-the-data-landscape/

Publish Date: 2026-06-04 10:00:00

Source Domain: www.forbes.com

Artificial Intelligence

Getty Images – BlackJack3D

A shift is underway in marketing measurement, accelerated by the collapse of the deterministic model and the rise of AI-powered ad platforms. Deterministic models, built on cookies, click tracking and last-touch attribution, underpinned digital marketing for well over a decade.

Following its relative demise in recent years, these models have been replaced by fragmented signals, customer journeys that span channels that didn’t exist when measurement frameworks were originally designed, and AI platforms operate as black boxes.

Simultaneously, the stakes for marketers, particularly CMOs, to stay on top of measurement remain high as CFOs and CEOs apply budgetary pressure and need proof of returns on investment. This is an uphill battle for many marketers who don’t have the best marketing reporting tools or analytics software. According to NIQ’s 2026 CMO Outlook, 84% of CMOs cite marketing ROI as their primary metric for budget allocation. Evolving with changes in measurement and consumer behaviors is the only way for marketers to survive today’s scattered data landscape.

The issue of signal loss

It is well-established that for years, cookie depreciation, browser restrictions and tightening privacy regulations eroded the click-based attribution model marketers relied upon. Signal loss is increasing measurement complexity, as consumer purchasing journeys splinter across an ever-growing number of platforms, made even less traceable by AI.

According to a recent survey from my company, Prosper Insights & Analytics, 54.3% of AI users now use generative AI to search the internet, surpassing every other individual use case, including research, writing assistance, and personal assistance. A further 30.5% are specifically using generative AI for shopping for products and services. For marketers, this poses a formidable problem as traditional measurement tools were not built to track purchasing in this way.

Prosper – Use…

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