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 Ads
Results
Reduction in invalid interactions in Search and Display campaigns
+85%
Invalid-interaction rate stabilized in Search
<10%
First results visible in the Google Ads dashboards
3 weeks
Anti-Fraud Technology
Detects and filters fraudulent traffic in Google Ads campaigns
At Fáktica we've developed Antibot technology that detects and filters fraudulent traffic in Google Ads campaigns —Search, Display, PMax, Video and Demand Gen— with a precision that far exceeds the commercial solutions on the market. The advertising ecosystem is increasingly vulnerable: bad bots now outnumber legitimate ones, on top of malicious manual clicks from competitors and click farms.
Quantifiable fraud reduction
The results are clearly visible in the Google Ads dashboards.
Audit of the losses incurred
We rigorously quantify the amount of historical fraud.
Filing official claims
We prepare the reports and documents to claim the fraud through official channels.
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 consolidates after two or three months of continuous use.
How does it work?
How does it work?
Fáktica’s Antibot technology starts from a simple premise: it’s not about blocking everything, but about blocking what really matters. Instead of focusing only on IPs, our system adds selective exclusion of placements, geographic micro-zones and audiences, precisely identifying and removing the environments where fraud concentrates while safeguarding quality traffic. Unlike software that bases its detection 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. Premium service (for high budgets): in the event of targeted competitor attacks on search campaigns, we protect you from malicious clicks and impression storms aimed at damaging your Quality Score and driving up your costs. We design a custom architecture that cross-references Google Ads data with server logs and your CRM to achieve real-time protection and obtain forensic evidence of the damage, so you can escalate your claim to Google.
Fáktica's Anti-Fraud vs. commercial solutions
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
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.
Remove fraudulent traffic, keep the real clicks and multiply your campaigns' profitability
Not sure how we can help you?
Why we exclude placements, not IPs
Most anti-fraud systems focus on blocking individual IPs — an ineffective strategy against dynamic IPs and CG-NAT that can end up excluding legitimate customers. Our system acts where fraud actually concentrates.
In depth
Machine Learning: algorithms that analyze hundreds of combined signals per placement.
Technical signals: the placement's language, domain, age, authority and security protocol.
Patterns: behavioral and geographic patterns at the micro-zone level.
Learning: the system detects new exclusion criteria as fraud evolves.
Self-training: it learns from each campaign continuously.
how it detects it
Selective exclusion: placements, micro-zones and audiences where fraud concentrates.
Claim: forensic evidence and documentation to escalate your claim to Google (premium service).
No false positives: bid adjustments and automatic exclusions without removing legitimate traffic.
Protected traffic: it safeguards real users and the quality of your conversions.
Damage audit: rigorous quantification of the historical fraud suffered.
"For years, advertisers have accepted ad fraud as an inevitable cost. We prove the opposite: with our Anti-Fraud technology you not only recover 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."
Marcos Ferreiro
Who is Anti-Fraud Technology for?
This system is especially suited to you if you recognize any of these situations:
Implementation
Fast, non-invasive, without interrupting 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.
Diagnostic audit
We analyze the real level of fraud in your account and, in the premium service, we financially quantify historical fraud from your server logs.
Activation and protection
The system learns the specific patterns of your account and sector; the invalid-interaction rate gradually decreases until it stabilizes.
Self-training and stabilization
The system learns the specific patterns of your account and sector; the invalid-interaction rate gradually decreases until it stabilizes.
Continuous and forensic operation
The system operates autonomously. You receive reporting on valid traffic, real CPC and conversion quality, 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
FAQs
Frequently asked questions
REVIEWS
What do our clients say?
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.






















