ANTIBOT TECHNOLOGY
Half the traffic reaching your campaigns isn't human
And it's destroying something far more valuable than your budget: the intelligence of your campaigns. Fáktica's Antibot Technology detects and removes fraudulent traffic in Display, PMax, Video and Demand Gen with far greater precision than the commercial solutions on the market, without affecting real users or interfering with Smart Bidding.
REAL RESULTS IN REAL ACCOUNTS
Reduction in invalid interactions in Display, stabilizing below 10%
> 85 %
Reduction in PMax, with progressive improvement over the first 2-3 months
> 75 %
In accounts where impression fraud had structurally inflated the CPC.
CPC reduction
WHAT DOES IT DO?
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: non-human traffic contaminates the data you make decisions with — and the data Google learns from.
Fake conversions
Your Google Ads dashboard fills with conversions that never reach your CRM… because they aren't real.
Smart Bidding learns from contaminated data
Google's algorithms optimize using your conversion history and user behavior. If that history includes millions of fraudulent interactions, Smart Bidding learns the wrong patterns and makes bidding decisions based on false signals.
Your scaling decisions are wrong
CPA, ROAS, conversion rate, cost per lead: all these metrics get distorted if a significant share of the traffic isn't human. You're making million-euro investment decisions with data that doesn't reflect reality.
The industry benchmark is devastating: in many Display and PMax accounts, less than half the traffic you pay for is human. In one Display account analyzed by Fáktica, the split was 32% bad bots, 17.6% good bots and only 50.4% real human traffic. With Antibot Technology active, that ratio gradually reverses: an ever-larger share of your investment reaches people who can actually convert.
HOW DOES IT WORK?
Smart exclusion of placements, not IPs
Most anti-fraud systems focus on blocking individual IPs. It’s a strategy that works poorly: it uses a sledgehammer to crack a nut and can do more harm than good. The widespread use of dynamic IPs and CG-NAT means that blocking suspicious IPs ends up excluding thousands of potential customers. Our system starts from a different premise: fraud isn’t distributed randomly — it concentrates in specific environments (particular placements in the Display network, geographic micro-zones, device and behavior patterns) that CAN be identified, excluded and monitored systematically. On top of those environments we apply Machine Learning that analyzes hundreds of combined signals and continuously self-trains, learning new fraud patterns as they evolve.
How it detects fraud and how it removes it
How it detects fraud and how it removes it
How it detects fraud and how it removes it
Correlation with real conversion
Correlation with real conversion
Automatic real-time exclusion
Automatic real-time exclusion
ALTERNATIVES
Why the alternatives aren't enough
La confianza por defecto en la protección de Google o en herramientas genéricas de detección de fraude genera una falsa sensación de seguridad. Ninguno de esos enfoques trabaja a nivel de arquitectura forense. Estas son las tres vías habituales y por qué se quedan cortas.
Google Ads native protection
It works with aggregated data, generic rules and after-the-fact filtering. It doesn't detect specific attacks, the credits it refunds are minimal, and there's no incentive for a thorough cleanup.
Commercial anti-fraud software
It relies on IP blocking, standard rules and shared blacklists. Ineffective against dynamic IPs and CG-NAT, it doesn't adapt its rules to your account and it locks out thousands of legitimate users. It doesn't act at the placement level.
Fáktica's Antibot Technology
Exclusion of placements and micro-zones + Machine Learning over hundreds of combined signals + continuous self-training. It acts where fraud actually concentrates, adapts to each account and each type of attack, and is compatible with Smart Bidding.
Remove fraudulent traffic, keep the real clicks and multiply your campaigns' profitability
Not sure how we can help you?
Protected investment across the entire Google Display Network
Antibot Technology protects your investment in Display, Performance Max, Demand Gen and YouTube. The system works in two coordinated layers — one that detects fraud and another that removes it — so you eliminate fraudulent traffic, keep the real clicks and multiply your campaigns’ profitability.
HOW IT DETECTS FRAUD
ML algorithms that analyze hundreds of combined signals per placement.
The placement's technical characteristics: language, domain, age, authority, security protocol.
Behavioral patterns and geographic patterns at the micro-zone level.
Correlation between technical signals and real conversion rates.
Continuous self-training: the system learns new fraud patterns as they evolve.
HOW IT REMOVES IT
Selective exclusion of placements and micro-zones where fraud concentrates.
Full compatibility with Smart Bidding: it acts before Google processes the traffic as a signal.
Ongoing monitoring to re-adapt exclusions as fraud changes.
Dynamic bid adjustment to isolate suspicious environments without removing legitimate traffic.
Automatic real-time exclusions, with no manual intervention.
"In many Display and PMax accounts, less than half the traffic you pay for is human. With Antibot, that ratio reverses."
The Fáktica Analytics team
Who is Antibot Technology for?
This system is especially suited to you if you recognize any of these situations:
You run Display, PMax, Video or Demand Gen campaigns
With a significant budget, and you've noticed lower-than-expected conversion rates, CPCs that don't improve, or inconsistent performance data.
You see high or variable invalid-interaction rates
And you don't have clarity on what percentage of your budget reaches real users.
You operate in high-CPC sectors
CPA, ROAS, conversion rate, cost per lead: all these metrics get distorted if a significant share of the traffic isn't human. You're making million-euro investment decisions with data that doesn't reflect reality.
You're an agency managing multiple accounts
Data fraud is a common cause of poor Smart Bidding performance that is rarely diagnosed, despite having sufficient history.
You want to measure fraud at a forensic level
You need a real breakdown — not Google's aggregated dashboard version — to decide where and how much to invest.
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 by cross-referencing platform data with behavioral signals. We identify the placements and micro-zones with the highest fraud concentration and deliver a report with the estimated impact.
System activation
The system learns the specific patterns of your account and sector. The invalid-interaction rate gradually decreases and stabilizes below 10% in most accounts.
Self-training and stabilization
The system learns the specific patterns of your account and sector. The invalid-interaction rate gradually decreases and stabilizes below 10% in most accounts.
Continuous operation and reporting
The system operates autonomously. You receive periodic reporting on the evolution of valid traffic, real CPC, conversion quality and excluded placements.
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.
FOUNDING PARTNER · CEO
Marcos Ferreiro
Aeronautical Engineer (UPM) and Master in Public Administration (Harvard University). He began his career in the aerospace sector, modeling fluid dynamics systems. He teaches impact evaluation at IE Business School.
CO-FOUNDING PARTNER & BOARD MEMBER
Pablo Marco
Mining Engineer and Master in Public Management (Harvard University). He worked as a consultant at McKinsey and in 2005 founded Iguana Sell, a pioneering e-commerce company in Spain. He is an associate vice dean at IE University – School of Politics, Economics & Global Affairs.
DATA ANALYST
Aliona Blidari
Our guardian angel for analytics. Aliona studied Mathematics and Business Administration at the Trade Co-operative University of Moldova before moving to Spain. Her passion for mathematics, traveling, and learning new things has remained intact, and it led her to Fáktica in 2024.
SOCIAL MEDIA, CRM & CONTENT
Álvaro Rebollo
Telecommunications Engineer (Polytechnic University of Madrid), he has spent two decades in digital marketing, streaming and CRM — first at BMG and Sony Music, and later leading his own project, Los Amigos Digitales. He has collaborated with Fáktica since 2022 on social media campaigns and content development.
PPC, ANALYTICS & CONTENT
Javier Pérez
Aeronautical Engineer (Polytechnic University of Madrid), he worked for 15 years at Airbus Defence & Space before moving to St. Louis (USA), where he currently lives. A chess master and expert in statistics and data science, he has collaborated with Fáktica since 2019 on algorithm development, data analytics, PPC campaign management and technical content development.
TECHNOLOGY DIRECTOR
Jonatan Castaño
Aeronautical Engineer (Polytechnic University of Madrid) and graduate in Social and Cultural Anthropology (UNED). He worked in data analysis at EADS and Airbus, and from there moved into optimizing digital marketing campaigns.
PRODUCT DEVELOPMENT DIRECTOR
José Gómez
Degree in Economics and Business (UCM) with a postgraduate degree from the Hanken School of Economics (Helsinki). An expert in Mobile Marketing and Mobile Value-Added Services, he has worked with telcos and entertainment and consumer brands across LATAM and EMEA. Passionate about digital marketing and UX optimization.
GRAPHIC DESIGNER
Lisle Ordóñez
A graphic designer and audiovisual director, winner of international awards for best art direction at the Dark Comedy Film Festival in Los Angeles (2023) and the ACTRUM Film Festival (2021), Lisle has collaborated with Fáktica Analytics since 2021. She has designed advertising campaigns and graphic pieces for Microsoft, Kodak, the European Union and STIB Belgium. Her artistic work can be seen here.
SENIOR SOFTWARE DEVELOPER
Oleksandr Vernadsky
A senior .NET developer and TensorFlow-certified, Oleksandr holds a master's in Computer Science from the V.I. Vernadsky Taurida National University (Ukraine). He is an expert in web application development and a lover of the beaches of Asturias, where he surfs whenever he can. He has collaborated with Fáktica since 2022.
DATA ANALYST
Vazgen Movsesyan
Graduate in Accounting and Finance (University of Oviedo), he began his career in auditing and business advisory, later joining the Fáktica team as a Junior Analyst, where he combines analysis with overseeing the company's finances.
DATA ANALYST
Ana María Ramírez
Holder of a Master's in Financial Advisory and Planning (Rey Juan Carlos University), she began her career in financial advisory, later joining the Fáktica team as a Junior Analyst.
OUR CLIENTS
Companies that trust us
FAQs
Frequently asked questions
Can the system worsen my campaigns in the short term while it trains?
It’s the most common objection, and a fair one. During the first few weeks, the system excludes fraudulent placements, which can reduce the volume of reported impressions and clicks and look like a downturn. In reality, the removed traffic wasn’t real. The net effect — less volume, better quality — shows up as improved conversions and lower CPA within one to three months.
Is it compatible with Smart Bidding and Performance Max?
Yes, and that’s precisely where it adds the most value. 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.
How do I know how much fraud I currently have in my campaigns?
The most direct way is a diagnostic audit. We offer a free initial audit in which we analyze the real level of fraud in your account and estimate the impact on budget, CPC and signal quality. The result usually surprises those who haven’t measured fraud at a forensic level.
How is it different from tools like ClickCease or TrafficGuard?
Commercial tools rely on IP blocking and shared blacklists — ineffective against dynamic IPs, CG-NAT and bots that rotate their identity. Our system doesn’t block IPs: it identifies and excludes the environments where fraud concentrates, and it self-trains on your account’s specific patterns, not on generic rules.
Does the system act on Search campaigns?
Antibot Technology is optimized for the Display network, PMax, Video and Demand Gen, where placement fraud is most prevalent. For Search campaigns there are other specific methodologies we can detail in a consultation.
How much does it cost and how is it billed?
The service model adapts to the account’s ad budget and the scope of work. It always includes an initial diagnostic audit, the installation and configuration of the system, and periodic reporting. Contact us for a custom proposal based on your investment volume.
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.