Financial Services: From distorted traffic signals to controllable media governance

Challenge

A large German financial services company had extensive display and social activity but lacked a sufficiently independent view of the validity of the underlying traffic and delivery signals. In a sensitive sector, it was therefore important to examine not only reach and platform KPIs but also human traffic, supply chain quality, geo accuracy, device patterns, visibility and on-site interaction together.

Approach

1. Combine in-ad and on-site forensics to reconcile bought delivery with actual website traffic and human interactions
2. identify non-human and ambiguous signals and avoid basing optimization logic on unverified platform metrics
3. apply a strictly curated inclusion list and continuously control the programmatic supply chain post-bid
4. analyze devices, GEO, visibility, asset exposure time and topic interactions as cross-signal evidence while also observing automated and AI-crawler activity on the website
5. translate findings into concrete budget, supply, device, content and governance actions

Outcome

Within four weeks, the confirmed-human rate increased by 60% while bot traffic decreased by 60% over the same period. In the refined setup, more than 96% of impressions were delivered to confirmed-human devices. Within one month, 6.7 million unique devices were reached with documented geo accuracy of 99.9%; average asset exposure time exceeded four seconds. On-site analysis added insight into genuine topic interest and automated activity.