Advertisers in the fintech and crypto space face some of the most expensive paid media costs across industries. Some of this cost is to be expected as the financial industry is so lucrative, causing fierce competition and prices for financial keywords to skyrocket. The larger issue facing advertisers, however, is that invalid traffic (IVT) from bots and AI-driven agents is creating an unstable environment, driving up costs and wasting ad budgets.
What is changing now is scale and accessibility. AI-powered automation tools and agent frameworks are widely available, inexpensive to deploy, and capable of interacting with digital advertising systems in highly sophisticated ways. Large volumes of IVT are flowing into fintech and crypto campaigns, distorting bidding algorithms and pushing customer acquisition costs (CACs) far beyond the normal market value.
The motivations behind this automated activity vary. Some bots scrape pricing data to monitor rates or spreads in real time. Others test landing page logic, product flows or arbitrage opportunities. In some cases, competitors may attempt to trigger ad clicks to increase auction pressure. Increasingly, AI agents are simply executing automated search and navigation tasks at scale, unintentionally flooding high-CPC auctions with synthetic demand.
If fintech advertisers don’t act now, they face continued losses and could find themselves without the funds to launch their future campaigns. More critically, they must protect the integrity of the optimisation signals that power their bidding strategies.
Polluted Algorithms and Wasted Budgets
For advertisers in a sector as competitive as the financial sector, every click counts. Fintech and crypto keywords typically fall under high-risk, high-intent categories on search platforms. Search terms like payments, lending, wallets etc., face stricter advertising regulations and are much more scarce than other industry keywords, driving up their prices significantly.
Financial keywords can cost companies around $40 per click according to HR software company Lever. This makes it integral that advertisers don’t waste any unnecessary spend.
In high-CPC verticals, it does not take large volumes of automated traffic to cause outsized damage. A short burst of AI-driven clicks on an expensive non-branded term can consume budget rapidly and trigger aggressive bid recalibration that takes weeks to stabilise.
AI-powered bots are capable of much more complex tasks than their previous iterations. They can convincingly replicate human user behaviour. This can include mouse movements, page scrolling, clicks etc., making them effectively blend in with regular traffic.
Their sophistication makes bots the perfect tool for underhanded tactics.. Whether deployed intentionally or operating as automated agents scraping and interacting at scale, their impact on auctions is the same.
Price scraping remains a major driver of bot traffic in fintech. Automated systems continuously monitor interest rates, crypto spreads, lending offers and fees to adjust competing offers in real time. These scraping systems often enter through paid ads because they provide consistent, structured access paths.
Frequent clicks on keywords are another tactic designed to drain competitor budgets. These clicks create false demand signals, making a keyword appear more desired than it actually is. Consequently automated bidding systems will be encouraged to bid more aggressively, wasting budgets to compete for false, AI-powered traffic.
In other cases, automated arbitrage models click ads to test conversion flows, affiliate logic or promotional triggers. Some AI agents are trained on live environments and repeatedly enter auctions as part of testing loops. The result is artificial auction pressure and distorted demand signals, regardless of intent.
The problems caused by this IVT continues, as bidding algorithms mistakenly learn to optimise towards these fraudulent sources, meaning they will continue to bid high on low value keywords for weeks before they’ll recover.
Clearing Out Invalid Traffic
Aggressive tactics from competitors or otherwise are severely polluting the fintech industry, damaging legitimate businesses and leaving advertisers at a loss. Bots are carrying out attacks and driving up market prices unhindered, but only if advertisers choose not to act.
- Proactive Monitoring: Advertisers can utilise active monitoring to identify potential ad fraud. Bot activity leaves behind signs that advertisers can use to identify it and block to mitigate any damage to budgets or bidding algorithms. An indicator could be a large spike in traffic while conversions remain low, especially if this traffic is during late hours. High bounce rates are also another indicator of bot activity, as bots will quickly leave a page after viewing it. However, detection alone is insufficient in high-CPC environments. Once polluted signals have influenced bid strategies, the damage is already underway. Prevention must occur in real time to protect budget and preserve clean optimisation inputs.
- Strengthen Identity Verification: Bots have developed the ability to create large volumes of fake accounts to bypass basic sign-up processes. To combat this, marketers should deploy more robust identity verification tactics at sign-up. These could include more complex CAPTCHAs or more detailed user information requests as bots will struggle to complete them.
Protecting Future Growth
Financial and crypto advertisers are under constant pressure to compete for visibility against growing prices and scarcer keywords. This competition combined with the rapid expansion of AI-driven automation has increased the volume of non-human participation in ad auctions, polluting their algorithms and driving up their costs.
During market volatility or news driven demand spikes, IVT often increases, amplifying budget shocks and bid instability. AI agents and automated systems amplify this instability by increasing synthetic demand during already sensitive periods.
The real risk is not only wasted spend. It is polluted optimisation systems, unstable CACs, and bidding strategies trained on artificial demand. For fintech advertisers, protecting growth now means protecting signal integrity. Clean data supports stable bidding. Stable bidding supports predictable CAC. Predictable CAC supports sustainable growth and investor confidence.
In high-CPC markets, it only takes a small amount of AI-driven interference to destabilise performance. Protecting auctions from automated traffic is no longer optional. It is foundational to maintaining competitive resilience in the age of AI.
Matthew Ratty, Co-Founder and current Chief Executive Officer of Adveritas
Matthew Ratty is a successful business leader with skills across innovation, commercialisation, strategy, capital raising and M&A.
He is the Co-Founder and current Chief Executive Officer of Adveritas and TrafficGuard since 2018. Prior to this Mr Ratty Co-founded MC Management Group Pty Ltd, a venture capital firm operating in domestic and international debt and equity markets, who are also a substantial shareholder in the Company. At MC Management, Mr. Ratty held the role of Head of Investment and was responsible for asset allocation. He holds a degree from Curtin University, where he majored in Finance and Property with first-class honours in finance.
Matthew Ratty
Matthew Ratty is a successful business leader with skills across innovation, commercialisation, strategy, capital raising and M&A. He is the Co-Founder and current Chief Executive Officer of Adveritas and TrafficGuard since 2018. Prior to this Mr Ratty Co-founded MC Management Group Pty Ltd, a venture capital firm operating in domestic and international debt and equity markets, who are also a substantial shareholder in the Company. At MC Management, Mr. Ratty held the role of Head of Investment and was responsible for asset allocation. He holds a degree from Curtin University, where he majored in Finance and Property with first-class honours in finance.
