Across more than 86 million analysed ad clicks, the average invalid traffic rate for Banking & Lending advertisers was 5.92%.

The figure varies significantly by platform, channel, and quarter, and individual campaigns recorded rates as high as 73%.

For a Banking & Lending business spending $5 million per year on paid advertising at an average $11.50 CPC, a 5.92% IVT rate translates to over $295,000 in directly wasted ad spend each year.

Factoring in a conservative 3:1 return on ad spend, the lost revenue opportunity approaches $887,000 annually.

Financial advertisers compete on expensive, high-intent keywords like "business loan," "remortgage," and "insurance quote," where the payoff for fraud, scraping and lead farming is unusually high.

The sector also runs on gated quotes, eligibility checks and application forms — creating more opportunities for bots to submit fake financial data and contaminate CRMs — while heavy use of affiliate, comparison and content networks widens the surface area for low-quality, non-genuine clicks.

In this analysis, LinkedIn recorded the highest average invalid traffic rate of any channel at 36.08% — more than one in three clicks — and the rate rose every quarter.

Microsoft Ads (Bing) was the next highest among the major search platforms at 13.72%, while Google had the lowest average rate of the major channels studied at 4.13%.

Only partially. Ad platforms catch the obvious cases — duplicate clicks, declared bots, and basic behavioural patterns — but sophisticated invalid traffic that mimics real human behaviour routinely slips through.

Comprehensive real-time analysis is computationally expensive for platforms to run at scale, and platform documentation often shifts traffic-quality responsibility onto the advertiser.