Tecnología antifraude

Anti-Fraud Technology

Custom protection against fraudulent traffic in Google Ads

Reduce ad fraud, defend against attacks from your competitors, and protect your investment in Google Ads

Results 

Reduction in invalid interactions in Search, Display, Performance Max, Video and Demand Gen campaigns

80%

Invalid-interaction rate stabilized in Search

<10%

First results visible in the Google Ads dashboards

3 weeks

Anti-Fraud Technology

Detects, filters and documents fraudulent traffic in your Google Ads campaigns

At Fáktica we've developed anti-fraud technology that detects and filters fraudulent traffic in Google Ads campaigns —Search, Display, PMax, Video and Demand Gen— with accuracy that far exceeds that of the commercial solutions on the market. The advertising ecosystem is increasingly vulnerable: bad bots now outnumber legitimate ones, and on top of them come malicious manual clicks from competitors, click farms and impression storms —bursts of bot-driven impressions— aimed at your most valuable keywords.

In campaigns managed with Anti-Fraud Technology, invalid-interaction rates stabilize below 10% in Search and 15% in Display and PMax. Results start showing within the first three weeks, and the impact on sales and profitability is fully realized after two or three months of continuous use.

Quantifiable fraud reduction

The results are clearly visible in the Google Ads dashboards.

Audit of the losses incurred

We rigorously quantify the financial impact of historical fraud.

Filing official claims

We prepare the reports and evidence required to submit a claim through Google’s official channels.

One system, two levels of protection

Antibot module

This is the base layer, and it operates in Display, PMax, Video and Demand Gen, where placement fraud is most prevalent and the damage most systematic. It identifies and excludes the environments where fraud concentrates —placements, geographic micro-zones, audiences— using machine learning algorithms that analyze hundreds of combined signals and continuously self-train. It works autonomously, in real time, without touching your campaign structure.

Protection against generic attacks · always included

Premium service

Designed for high-CPC accounts facing targeted attacks by competitors on search campaigns: malicious clicks and impression storms aimed at draining your budget and sinking your Quality Score, your Ad Quality and the average position your ads actually hold. We design a custom architecture that cross-references Google Ads data with server logs and your CRM to achieve real-time protection, quantify the financial impact of historical fraud, and obtain the forensic evidence needed to escalate your claim to Google.

Protection against targeted attacks · for high-spend Search accounts

How does it work?

How does it work?

Our technology starts from a simple premise: it's not about blocking everything, but about blocking what really matters. Fraud isn't distributed randomly; it is concentrated in specific environments —particular placements within the Display network, geographic micro-zones, device and behavior patterns— that can be identified, excluded and monitored systematically.

Unlike tools that rely on IP blocking —ineffective against dynamic IPs and CG-NAT—, our model relies on machine learning algorithms that analyze hundreds of combined signals and continuously self-train, adapting to new fraud patterns as they appear.

And when the attack is targeted, we take a different approach: in the Premium service we build a custom architecture that cross-references Google Ads, server logs and CRM to protect you in real time from the malicious clicks and impression storms aimed at damaging your Quality Score and your Ad Quality, driving up the cost of every auction and worsening the average position your ads actually hold.

Fáktica's Anti-Fraud vs. commercial solutions

Relying solely on Google's built-in protections or on generic fraud-detection tools creates a false sense of security. None of these approaches works at the level of forensic architecture.

Approach

Fáktica's Anti-Fraud: selective exclusion of placements, micro-zones and audiences, with machine learning over hundreds of combined signals coming not only from your Ads account but also from your server logs.

Approach

Commercial solutions: IP blocking, standard rules and shared blacklists. Google's native protection stops at aggregated data and after-the-fact filtering.

Targeted attacks in Search

Fáktica's Anti-Fraud: real-time detection cross-referencing Google Ads, server logs and CRM (Premium service).

Targeted attacks in Search

Commercial solutions: they have no visibility into your server logs, no ability to react in real time, no way to connect coordinated attacks launched across different channels, and no way to detect impression storms.

Adaptation to your account

Fáktica's Anti-Fraud: a model self-trained on the specific patterns of your account and your sector.

Adaptation to your account

Commercial solutions: they apply the same generic rules to thousands of advertisers.

Damage recovery

Fáktica's Anti-Fraud: forensic audit of historical fraud and documentation ready to file.

Damage recovery

Commercial solutions: they don't quantify the damage or prepare the claim to Google against impression storms and coordinated attacks across different channels.

The real problem

The digital advertising ecosystem is increasingly vulnerable to different types of fraud that drain your budget and contaminate your data.

Bad bots

Only half the traffic on the web is human. The other half is generated by bots. And among those, malicious bots already outnumber legitimate ones, and their activity grows every year.

Malicious manual clicks

Competitors who try to drain your budget by deliberately clicking on your ads.

Click farms

Networks of sites and rotating IPs that generate artificial revenue at the expense of your investment.

Impression storms

Botnets that generate thousands of impressions without clicks for your keywords to sink your CTR and, with it, your Quality Score.

The invisible damage

Fraud doesn't just drain your budget. It poisons your data. And that's far more expensive

Most advertisers see fraud as a wasted-budget problem. But there's a much quieter, more damaging consequence that few take into account.

How much fraud is there really in your campaigns?

Find out with a free diagnostic, delivered in two to three weeks.

90.8%

In one account we audited, with annual ad spend of more than US$3 million, 76% of the incoming traffic in Search campaigns was fraudulent. In 30 days we brought that rate down to 7%, a 90.8% reduction in total invalid-click volume.

In Search campaigns with high invalid-click rates, two out of every three clicks that Google considers legitimate —and therefore billable— can be fraudulent. It isn't that Google is deceiving you: it has no access to your server and cannot see the traffic reaching you through other channels, so its decisions are based on incomplete data.

«For years, advertisers have accepted ad fraud as an inevitable cost. We prove the opposite: with our Anti-Fraud technology you not only get a return on the investment you were losing to fake traffic — you can also measure the damage and claim it back. That's the difference between truly protecting your account and simply resigning yourself to paying for clicks that were never customers.»

 Jonatan Castaño

Who is Anti-Fraud Technology for?

This system is especially suited to you if any of the following applies to you:

Malicious clicks or impression storms aimed at draining your budget and damaging your Quality Score, your Ad Quality and your Ad Rank.

Every fraudulent conversion that slips through distorts your investment decisions. The higher the CPC, the greater the incentive to commit fraud and the greater the damage from every invalid click.

With a significant budget, lower-than-expected conversion rates, CPCs that don't improve, inconsistent performance data and/or invalid-interaction rates systematically above 20%.

You need forensic analysis of your server logs and documentation ready for submission to Google.

You have enough history and the algorithms still aren't optimizing. Data fraud is a common cause that is rarely diagnosed.

You need to ensure the results you report are based on real traffic, not on metrics contaminated by bots.

Implementation

Fast and non-invasive, with no disruption to your campaigns

The system operates as an intelligence layer over your existing campaigns. It doesn't require redesigning the structure or pausing any active campaign.

Weeks 1-2 

Diagnostic audit

We analyze the real level of fraud in your account by cross-referencing platform data with behavioral signals, and we identify the placements, micro-zones, devices and audiences with the highest fraud concentration. In the Premium service we also analyze and financially quantify historical fraud from your server logs.

Week 3 

Activation and protection

 Fáktica's proprietary scripts are installed. The system starts monitoring traffic and applying exclusions in real time. Manual bids and campaign structures are left untouched.

Months 1-3

Self-training and stabilization

The system learns the specific patterns of your account and your sector; the invalid-interaction rate gradually decreases until it stabilizes below 10%.

From month 3

Continuous and forensic operation

The system operates autonomously. You receive periodic reporting on valid traffic, real CPC, conversion quality and excluded placements and — where applicable — the forensic documentation to file a claim.

TEAM

Specialists in digital marketing, analytics and advertising technology development.

Every account has a direct manager and access to the technical team from the start of the project.

our clients

Companies that trust us

PROJECTS

Real-world applications of our methodology and technology across different projects.

The main goal of our campaigns: to increase our clients' profits in a measurable way.

REVIEWS

What do our clients say?

FAQs

Frequently asked questions

What are the main use cases?

Three. First: targeted competitor attacks in search campaigns —malicious clicks and impression storms— for high Google Ads budgets. Second: generic attacks in Display, PMax, Video and Demand Gen campaigns, where the Antibot module operates. Third: forensic analysis, with financial quantification of historical fraud from server logs and documentation ready to send to Google.

We've reduced invalid interactions by more than 80%. In most cases they stabilize below 10%, and results start showing within the first three weeks.

The reduction exceeds 85% in Display and 75% in PMax. Rates stabilize below 15%, and the impact on sales and profitability consolidates after two or three months of continuous use.

It's the most common objection, and a fair one. During the first few weeks the system identifies and excludes fraudulent placements, which can reduce the volume of reported impressions and clicks: on the dashboard it looks like a downturn. In reality, the traffic removed wasn't real. The net effect — less volume, better quality — usually shows up as improved conversions, higher ROAS/ROI, increased gross profit and lower CPA within one to three months.

Yes. The system acts before Google's algorithms process the traffic as a learning signal. By removing the fraudulent signals that contaminate the model, Smart Bidding starts learning from clean data and progressively improves the quality of its bidding decisions.

Commercial tools rely mainly on IP blocking and shared blacklists, an approach that is ineffective against dynamic IPs, CG-NAT networks and bots that rotate their identity. It's a strategy that works poorly in today's environment: it uses a sledgehammer to crack a nut and can do more harm than good, since you can end up shutting out thousands of legitimate potential customers.

Our system only blocks IPs when strictly necessary, for short periods, until the attack is over. Before that, it identifies and excludes the environments —placements, geographic micro-zones, audiences, devices, search terms— where fraud concentrates. It also self-trains on the specific patterns of your account, rather than on generic rules applied to thousands of advertisers at once.

Yes. In the Premium service we produce a forensic audit that financially quantifies historical fraud from server-log analysis, and we prepare the documentation ready to file your claim through Google's official channels. We can also file the claim on your behalf if you wish.

The service model adapts to the account's ad budget and the scope of the work. It always includes the initial diagnostic audit, the installation and configuration of the system, and periodic reporting. Contact us for a custom proposal based on your investment volume.

The Premium Service — Protection against targeted attacks in Search — is exclusively for accounts spending millions of US dollars per year on Google Ads.

Do you suspect you're paying for fraudulent traffic?

We analyze your Google Ads account and tell you whether you're a victim of fraud, how much it's costing you, and what can be recovered.

Confidential diagnosis.
We reply within 24 hours.

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