‍The Cost of Click Fraud in Financial Services Advertising

Personal loan advertising sits at the most expensive end of paid search. Lenders compete aggressively for the same high-intent queries, cost per click escalates fast, and every wasted impression compounds directly into cost of acquisition.

High-value keywords attract more than genuine borrowers.

Bots, automated scripts and returning users clicking through paid ads quietly inflate engagement metrics while feeding corrupted signals into campaign optimisation. Budget follows the wrong signal. Acquisition costs rise without a corresponding increase in real applicants.

According to TrafficGuard, 22% of global digital ad spend is lost to invalid traffic and ad fraud. In financial services, where CPCs are among the highest in paid search, the financial exposure is disproportionate.

For lenders running performance campaigns at scale, click fraud protection is not a nice-to-have. It is a prerequisite for accurate data, reliable conversion signals and defensible cost per acquisition.

NOW Finance, a leading non-bank personal lender, wanted to know whether invalid traffic was affecting the ROI of its Google Ads campaigns and what it was costing them.

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The Challenge

NOW Finance ran multiple Google Ads campaigns to drive interest in its personal loan products. The marketing team wanted to understand whether ad fraud and invalid traffic were distorting campaign metrics and inflating acquisition costs.

Three categories of invalid and non-incremental activity presented a direct risk.

• Bot-generated traffic
  Automated scripts generating fraudulent clicks and impressions inflate engagement metrics and skew campaign performance data. In high-CPC environments, even modest bot volumes translate into significant budget loss.
  
• Expensive PPC keywords
  Financial services keywords carry some of the highest CPCs in paid search. Invalid clicks on these terms do not just waste budget, they distort the performance signals that campaigns rely on for optimisation.
  
• Repeated clicks from returning users
  Existing customers navigating back to the site through paid ads trigger chargeable clicks without advancing new acquisition. At scale, this behaviour drives up acquisition costs and reduces the accuracy of conversion data.

Each behaviour may appear contained in isolation. Aggregated across campaign activity, they inflate costs while degrading the data quality that performance decisions depend on.

NOW Finance brought TrafficGuard on board to investigate whether ad fraud was impacting Google Ads ROI.
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The Solution

NOW Finance implemented TrafficGuard for Search across its Google Ads campaigns.

The approach centred on tackling invalid traffic as early as possible. TrafficGuard for Search prevented invalid traffic in real time at click level, ensuring budget was not lost but automatically reinvested, driving increased reach and lower cost per conversion.

• Invalid traffic prevention
  Bot-driven and fraudulent clicks were identified and blocked before they consumed advertising budgets.
  
• Non-incremental engagement detection
  Returning users clicking through paid ads were identified and filtered, reducing spend on interactions that generate no additional acquisition value.
  
• Traffic quality reporting
  Granular visibility into where invalid and fraudulent activity originated gave the NOW Finance team the intelligence to pinpoint problems and optimise accordingly.

By filtering low-quality traffic at click level, NOW Finance reduced budget exposure and restored the integrity of the signals driving campaign performance.
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The Results

With TrafficGuard in place, NOW Finance gained clear and measurable visibility into what had been distorting campaign performance. Once invalid traffic was removed from the acquisition path, budget was automatically redirected toward genuine, high-quality loan applicants.

• 96% reduction in IVT spend rate. Invalid traffic spend fell from 5.6% during detection to 0.2% within the first month of prevention.
  
• Bot traffic dropped from 7.2% to 0.2% following implementation.
  
• Non-incremental engagement fell from 0.4% to 0.04%. Low-value repeated interactions were reduced by 90%, significantly improving conversion signal accuracy.

Within the first month, budget previously lost to invalid clicks was automatically reinvested into quality traffic. Loan application conversions increased by 11% and cost of acquisition from the search channel decreased.

Through real-time invalid traffic prevention, TrafficGuard enabled NOWFinance to protect its Google Ads budget, restore conversion signal accuracy, and reinvest wasted spend into genuine loan acquisition.