2025 Report Card: Why Digital Marketers Stopped Trusting the Dashboard
As digital ad spend climbs, marketers grow sceptical of performance dashboards due to AI opacity, attribution fatigue and ad fraud inflating metrics.
As digital ad spend climbs, marketers grow sceptical of performance dashboards due to AI opacity, attribution fatigue and ad fraud inflating metrics.
Despite a strong showing for India’s digital advertising market in 2025 — with spend growing around 7.8 % to roughly $16 billion, and digital formats capturing roughly half of total ad budgets — the year also saw a notable shift in how marketers view their own performance measurement tools.
While dashboards showed growth and efficiency, many marketers found the reported performance increasingly detached from verifiable business outcomes. The gap between dashboard claims and real-world results became harder to ignore, eroding confidence in what was once the backbone of digital measurement.
A major factor was the rise of AI-driven optimisation. Tools like Google Ads’ AI Mode shifted reliance away from traditional metrics like clicks and towards complex, opaque signals calculated for predicted outcomes. Although these methods often improved surface performance, tracing causality and understanding why something worked became difficult, with only a small fraction of marketers fully trusting AI-derived insights when allocating budgets.
Attribution fatigue further deepened scepticism. With privacy-driven signal loss, probabilistic modelling and vendor-specific methodologies, small changes in attribution logic could dramatically shift credit between channels without corresponding changes in actual revenue. Internal audits revealed that dashboards could show growth that business results didn’t corroborate, leading teams to treat performance metrics as directional rather than definitive.
The situation was compounded by sophisticated ad fraud that mimicked real user engagement — including metrics like scroll depth and session duration — making invalid traffic harder to isolate and removing clear indicators of quality engagement. This meant optimisation engines could inadvertently “learn” from noise and reward it, while dashboards continued to report inflated success.
Even retail media, often touted as a solution because of its closer linkage between exposure and purchase on the same platform, struggled to prove incrementality, leaving brands questioning whether growth came from new demand or simply capturing existing interest.
By the end of 2025, the problem was not the absence of data, but the credibility of interpretation. Marketers increasingly demoted dashboards in favour of cross-checking reported return-on-ad-spend with tangible business signals — like revenue lift, cohort behaviour, margin contribution and repe