Ciaro
ANTI-FRAUD ENGINE

How Click Fraud Detection and Protection Actually Works

Ciaro Anti-Fraud delivers real-time click fraud detection, ad fraud protection, and invalid click prevention using 30+ behavioral and network signals. Every click scored, every threat blocked, in under 50ms — across Google Ads, Meta, and Microsoft.

30+ detection signals per click
<50ms detection speed
<0.3% false-positive rate
Real-time blocking on Google, Meta, MS
Detection Engine Live
Active
Incoming Click
203.0.113.42Chrome / WinGoogle Ads
Analyzing 30+ Signals
IP Reputation
Device Fingerprint
Behavioral Entropy
VPN / Proxy Check
Cross-Campaign Pattern
Fraud Score42ms
12 / 100
✓ ALLOW — Real user click
DEFINITIONS

What Is Click Fraud Detection? Complete Definitions

Click fraud detection is the process of identifying fake or invalid clicks on paid digital ads using automated analysis of IP, device, behavioral, and historical signals. It's the first step in a three-part defense that includes detection, protection, and prevention.

Detection
Primary output: fraud score (0–100)

What is click fraud detection?

Click fraud detection identifies invalid or fraudulent ad clicks. Systems analyze each click using signals like IP reputation, device fingerprints, behavior, and data, then assign a fraud score. Detection shows which clicks are real, fake, or need review. Without it, protection and prevention won’t work.

Protection
Acts within 50ms of detection

What is click fraud protection?

Click fraud protection is the active defense layer that blocks detected fraud before it costs you money. While detection identifies threats, protection stops them — adding fraudulent IPs to exclusion lists, filtering invalid traffic, and preventing repeat offenders. Protection turns detection into real budget savings.

Prevention
Powered by 30M+ known fraud IPs

What is click fraud prevention?

Click fraud prevention is the proactive layer that stops fraud before it happens. Prevention uses historical fraud patterns, network intelligence (30M+ known fraud IPs), and behavioral modeling to preemptively block bad actors. Detection catches fraud as it occurs; prevention catches it before it reaches your ads.

The Three-Layer Defense

LayerWhat It DoesWhen It ActsPrimary Output
DetectionIdentifies fraudulent clicksAs each click arrivesFraud score (0–100)
ProtectionBlocks identified fraudWithin 50ms of detectionIP added to exclusion list
PreventionStops fraud before it happensBefore the click hits your adPreemptive IP block
Evaluating click fraud software vendors? See how Ciaro compares →
BROADER CONTEXT

What Is Ad Fraud?
How It Differs From Click Fraud

Ad fraud is the umbrella category that includes click fraud, impression fraud, fake conversions, domain spoofing, and attribution manipulation. Click fraud is one type of ad fraud, specifically fraudulent clicks. Ad fraud protection is broader click fraud protection is focused on the click-level threat.

DimensionClick FraudAd Fraud
ScopeFraudulent clicks on paid adsUmbrella: clicks, impressions, conversions, attribution, domain spoofing
Primary targetPPC budgets (Google Ads, Meta, Microsoft)Entire digital ad ecosystem (display, video, programmatic, search)
Common actorsCompetitors, click farms, botsBot networks, fraud rings, fake publishers, malicious SDKs
Detection layerClick-level signals (IP, device, behavior)Click + impression + conversion + supply-path verification
Typical impactWasted PPC spend, inflated CPCWasted spend across channels, distorted attribution, bad data
Ciaro coverageNative, real-time blocking <50msClick + conversion layer native; impression/domain via partners
HOW CIARO WORKS

How Ciaro Protects Against Ad Fraud

While Ciaro Anti-Fraud is purpose-built for click fraud detection and prevention, its multi-signal architecture also detects ad fraud patterns at the click and conversion layer. Bot-generated form fills, fake conversions from spoofed referrers, and suspicious attribution paths are all flagged and reported. For impression fraud and domain spoofing, Ciaro integrates with verification partners — but the click and conversion layer is handled natively.

<50ms detection30M+ blocked IPs97.4% accuracy
Click FraudAd FraudCIAROfraud filterClean Traffic
THE FRAUD LANDSCAPE

8 Types of Click Fraud and Ad Fraud Ciaro Detects

Every fraud type follows different signal patterns. Ciaro's engine detects all eight in real time.

01

Bot Traffic

Automated scripts generating fake clicks at scale. Includes simple crawlers and sophisticated headless browsers.

~38% of blocked fraud
02

Click Farms

Coordinated groups of low-paid workers clicking ads from real devices to bypass behavioral detection.

Real devices, fake intent
03

Competitor Clicks

Rivals exhausting your daily budget by repeatedly clicking your ads. Concentrated in legal, insurance, and home services.

High-CPC verticals
04

VPN & Proxy Abuse

Fraudsters masking real IPs through VPNs, residential proxies, and Tor networks to bypass basic IP-level filters.

Bypasses basic filters
05

Device Spoofing

Manipulated device fingerprints making one machine appear as many unique users to ad platforms.

1 device, many identities
06

Fake Conversions

Bot-generated form fills and fake leads that pollute your CRM and corrupt smart bidding signals.

Corrupts CRM data
07

Domain Spoofing

Fraudulent publishers impersonating legitimate sites to hijack ad spend and impression credit.

Impression-level fraud
08

Attribution Fraud

Last-click hijacking, cookie stuffing, and spoofed referrers that claim credit for conversions they didn't drive.

Steals attribution credit
See real-world examples and detection data for each fraud type →
DETECTION METHODOLOGY

How Click Fraud Detection Works at Ciaro

Every click flows through a 4-stage detection pipeline. 30+ signals. Sub-50ms decisions. Here's exactly what happens.

1
Ingestion
0–5ms
Click data captured from your ad platform via tracking script. Raw signals collected: IP, user agent, session ID, referrer, timestamp.
  • IP address
  • User agent
  • Session ID
  • Referrer URL
  • Timestamp
2
Signal Analysis
5–35ms
30+ signals analyzed in parallel across 5 categories. Each signal returns a confidence score. Cross-correlation detects coordinated fraud patterns.
  • IP reputation check
  • Device fingerprint
  • Behavioral entropy
  • VPN/proxy detection
  • Cross-campaign match
3
ML Scoring
35–48ms
Signals fed into our ML model trained on 700M+ clicks. Returns a 0–100 fraud probability score plus classification (bot, click farm, competitor, etc.).
  • Probability score (0–100)
  • Fraud type classification
  • Confidence interval
  • Historical match
  • Account-specific patterns
4
Action
<50ms
Decision applied. Below 60: allow. 60–75: flag for review. Above 75: block. Blocked IPs sync to ad platforms via native API.
  • Allow / Flag / Block
  • IP added to exclusion
  • Platform API sync
  • Audit log written
  • Refund report queued

All 30+ Signals We Analyze

Grouped by category. Each click is scored across all five.

Network
8 signals
  • IP reputation score
  • VPN / proxy detection
  • Datacenter IP check
  • Tor exit node detection
  • ASN classification
  • Geographic anomalies
  • IP rotation patterns
  • Residential vs commercial IP
Device
7 signals
  • Browser fingerprint
  • Canvas / WebGL hash
  • Hardware signatures
  • Screen resolution
  • Timezone consistency
  • Plugin enumeration
  • Font fingerprint
Behavioral
8 signals
  • Click cadence
  • Mouse movement entropy
  • Scroll pattern
  • Time-on-page
  • Session duration
  • Page interaction depth
  • Form fill velocity
  • Hover patterns
Historical
5 signals
  • Prior fraud from same IP
  • Fingerprint repeat history
  • Cross-campaign matches
  • Time-of-day patterns
  • Account-level fraud rate
Multi-channel
5 signals
  • Cross-platform pattern
  • Repeat clicks across ads
  • Conversion path validity
  • Referrer chain analysis
  • Session stitching
33 active signals · updated weekly
WHY GOOGLE'S FILTERS AREN'T ENOUGH

Why You Need Dedicated Click Fraud Detection

Google, Meta, and Microsoft all run basic invalid-traffic filters. They catch the obvious cases — known bots, duplicate clicks within seconds, clicks from blocked IPs. What they don't catch: sophisticated bots that mimic human behavior, click farms running on real devices, competitor sabotage from clean residential IPs, and coordinated fraud patterns spanning multiple campaigns.

Across 1400+ accounts we've audited, an average of 19% of paid traffic passed Google's filters but was clearly invalid on deeper analysis. That's the gap dedicated fraud detection closes.

19%
Average invalid traffic Google's filters miss
30+
Signals Ciaro analyzes per click that platforms don't
<50ms
Decision time per click — faster than Google's filters
Read the full detection methodology whitepaper →
TRANSPARENCY & DATA

Detection Accuracy: The Data Behind Our Claims

We don't just say our detection is accurate. Here's the proof — real data from real accounts.

99.7%
Detection Accuracy Rate
Validated against 200K+ manually-reviewed clicks
<0.3%
False-Positive Rate
Real users incorrectly flagged as fraud
700M+
Clicks Analyzed
Training dataset powering our ML model

How We Measure Accuracy

1
Manual review validation
Every month, we randomly sample 5,000 clicks across 100+ accounts and manually review them against our fraud definitions. Human analysts check IP reputation, device consistency, behavioral patterns, and session validity. Any discrepancy between automated detection and human judgment triggers model recalibration.
2
Client conversion tracking
We track conversion rates for allowed vs. blocked traffic. Real clicks convert at 3–8% depending on vertical. Blocked traffic converts at <0.1%. This delta confirms our detection isn't just blocking random traffic — it's isolating the non-converting clicks.
3
Platform refund acceptance rate
When we flag clicks as fraudulent and submit refund claims to Google, Meta, or Microsoft, they approve 94% of our claims. The platforms' own post-click validation confirms our detection accuracy.
4
Third-party audits
Our detection methodology has been audited by two independent PPC agencies (identities withheld per NDA). Both confirmed false-positive rates below 0.5% and detection recall above 98%.

Industry fraud rate benchmarks

Aggregated from 1400+ accounts across 12 industries

IndustryAvg Fraud RateSample Size
Legal Services27%87 accounts
Insurance31%52 accounts
Home Services (HVAC/Plumbing)24%93 accounts
eCommerce (Fashion)18%124 accounts
eCommerce (Electronics)22%76 accounts
SaaS / B2B Tech12%118 accounts
Healthcare19%43 accounts
Real Estate23%68 accounts
Education / Online Courses15%59 accounts
Financial Services29%34 accounts
Lead Generation26%71 accounts
Local Services21%89 accounts
Weighted Average19%1400+ accounts
Explore full benchmark methodology and raw data →
ACCURACY & TRANSPARENCY

How We Keep False Positives Below 0.3%

False positives — real users blocked as fraud — are the silent killer of fraud detection. Here's how Ciaro minimizes them.

WHAT'S A FALSE POSITIVE?
A false positive occurs when a real, legitimate user is incorrectly classified as fraudulent and blocked from engaging with your ads or site. This costs you a potential customer and degrades campaign performance. Our <0.3% false-positive rate means out of every 1,000 real clicks, fewer than 3 are wrongly blocked.
1
Multi-signal consensus
No single signal triggers a block. A click is only flagged if 4+ signals from different categories (network, device, behavioral) all point to fraud. This prevents one anomaly — like a VPN user or unusual browser — from causing a false positive.
2
Confidence thresholds
Each signal returns a confidence score. We only block when the aggregate fraud probability exceeds 75% and the confidence interval is tight. Ambiguous cases (60–75%) are flagged for manual review, not auto-blocked.
3
Account-specific baselines
Our ML model learns your account's normal traffic patterns over 30 days. What looks abnormal for a legal firm (sudden mobile spike) might be normal for an eCommerce brand. We don't apply one-size-fits-all rules.
4
Manual review queue
Edge cases — first-time users from new geos, unusual but valid device fingerprints — route to a manual review queue. Human analysts validate before permanent blocking. Your account manager can also whitelist specific IPs or patterns.

What Happens When We Incorrectly Block a Real User?

Despite sub-0.3% rates, false positives still occur. Here's our process for catching and correcting them:

1
User flags the block via email or dashboard.
2
We review the click's full signal breakdown within 2 hours.
3
If confirmed false positive, we immediately whitelist the IP and refund any blocked spend.
4
We retrain the model on the correction to prevent future similar errors.
Average false-positive correction time: 47 minutes from user report to IP whitelisted.
Read our full false-positive prevention methodology →
AUTOMATED RESPONSE

How Click Fraud Protection Works in Real Time

Detection identifies the threat. Protection neutralizes it. Here's what happens when Ciaro detects a fraudulent click on your campaign.

REAL ATTACK WALKTHROUGH
T+0ms
Fraudulent click occurs
Bot clicks your Google Ads campaign. IP: 94.140.14.244. User agent claims Chrome/Win10. Session ID generated. Tracking script fires.
T+8ms
Ciaro detection engine analyzes
30+ signals scored in parallel. IP flagged: known datacenter range. Device fingerprint: entropy too low (headless browser signature). Behavioral: zero mouse movement. Cross-check: same IP clicked 12 times in last hour across 3 campaigns.
T+42ms
Fraud score assigned: 89/100
ML model returns classification: Bot traffic, high confidence. Score above 75 = auto-block threshold. Decision: block this IP immediately.
T+48ms
IP added to exclusion list
IP 94.140.14.244 synced to your Google Ads account via native API. Block scope: campaign-level (this campaign only). Duration: permanent unless manually removed.
T+1.2s
Platform confirms block
Google Ads API returns confirmation. IP now in your exclusion list. Future clicks from this IP won't reach your ads. Audit log written to your dashboard.
T+24h
Refund report generated
Automated refund claim report created with evidence: click timestamp, fraud score, signal breakdown, IP reputation data. Exportable as PDF. Submit to Google for potential credit.

What Gets Protected Automatically

Ad budget
Blocked IPs can't click your ads again. Budget stays on real users.
Campaign performance metrics
Clean CTR, conversion rate, and CPC data without fraud contamination.
Smart bidding algorithms
Google's ML bidding uses clean data, not corrupted by fake conversions.
Reporting & attribution
Analytics show real user behavior, not skewed by bot traffic.
PLATFORM SYNC DETAILS

IP blocks sync to Google Ads, Meta, and Microsoft via each platform's native API. Sync time: under 2 seconds. Once synced, the platform's own systems prevent future clicks from blocked IPs. No manual CSV uploads. No delayed batch processing. Real-time, automated protection.

PROACTIVE DEFENSE

Click Fraud Prevention: Stopping Fraud Before It Happens

Detection catches fraud as it occurs. Prevention catches it before it reaches your ads. Four prevention mechanisms working 24/7.

Network intelligence database

Ciaro maintains a database of 30M+ known-fraud IPs, updated hourly from our global network. Clicks from these IPs are preemptively blocked before they reach your campaigns — no analysis needed.

30M+fraud IPs tracked

Behavioral modeling

ML models trained on 700M+ historical clicks predict fraud likelihood based on traffic patterns. High-risk patterns (rapid-fire clicks, sequential campaign targeting) trigger preemptive blocks before individual clicks are analyzed.

700M+clicks analyzed

Cross-account pattern detection

Fraud campaigns often target multiple advertisers simultaneously. When we detect a coordinated attack on one account, we preemptively block the same IPs across all accounts in the same vertical.

2,100+active accounts protected (May 2026)

Industry-specific blocklists

We maintain pre-built blocklists for high-fraud verticals (legal, insurance, home services). Accounts in these industries get day-one protection from known competitor-sabotage IPs without waiting for live detection.

12industry lists

Prevention vs Detection: What's the Difference?

Detection
Analyzes each click individually
Reactive (fraud must occur first)
30+ signals per click
Blocks after analysis (~50ms)
High accuracy (97%+)
Prevention
Blocks known threats proactively
Preemptive (before click analysis)
Uses historical fraud database
Instant block (0ms decision)
Lower false-positive risk
Read the complete prevention strategy guide →
YOUR DASHBOARD

What You'll See in Your Ciaro Dashboard

Every fraud signal. Every blocked IP. Every refund opportunity. Transparent, real-time reporting with zero jargon.

dashboard.ciaro.click / live-feedLIVE
IP AddressFraud ScoreVerdict
184.22.91.4
Bot 92
76.118.52.207
Clean 18
203.0.113.45
Click farm 76
98.51.140.12
Clean 11
192.0.2.88
Competitor 88
45.77.101.30
Suspicious 41
184.22.91.4
Bot 92
76.118.52.207
Clean 18
203.0.113.45
Click farm 76
98.51.140.12
Clean 11
192.0.2.88
Competitor 88
45.77.101.30
Suspicious 41
01

Real-Time Fraud Monitoring

Live feed of every click analyzed. See fraud scores, signal breakdowns, and block decisions as they happen. Filter by campaign, time range, or fraud type.

Live click feed with fraud scores
Signal-level breakdown per click
Campaign and keyword drill-down
Export to CSV for analysis
dashboard.ciaro.click / blockedLIVE
IPs Blocked Today
1,247
1,248
1,249
1,250
1,251
1,252
1,253
1,254
+12%
Budget Saved
$8,420
Recent blocks
184.22.91.4synced ✓
203.0.113.45synced ✓
192.0.2.88synced ✓
45.77.101.30synced ✓
172.31.4.91synced ✓
02

Blocked IP Management

Full list of every IP we've blocked for you, with block reason, timestamp, and platform sync status. Whitelist legitimate IPs with one click.

Complete IP exclusion history
Block reason + fraud score shown
One-click whitelist for false positives
Sync status across platforms
dashboard.ciaro.click / campaignsLIVE
Traffic quality / 7d
87
Score
Campaign health
03

Campaign Health Dashboard

Per-campaign fraud rates, budget saved, and traffic quality scores. Compare clean vs fraudulent traffic patterns across all active campaigns.

Fraud rate % per campaign
Budget saved calculation
Traffic quality score (0-100)
Campaign comparison view
dashboard.ciaro.click / refund-report.pdfLIVE
REFUND CLAIM
Evidence collected
Signals validated
Generating PDF…
$2,140 recoverable
04

Automated Refund Reports

Export-ready refund claim reports with all evidence Google requires: timestamps, fraud scores, IP data, signal analysis. One-click PDF export.

Auto-generated monthly reports
Full evidence package per claim
Export as PDF for Google submission
Historical refund tracking
Start Free Trial & See Your Dashboard
ANTI-FRAUD CAPABILITIES

Complete Anti-Fraud Capability Inventory

This is the complete feature set for Ciaro's Anti-Fraud engine specifically. For session replay, heatmaps, analytics, and other platform capabilities, see the full feature catalog.

Looking for the full Ciaro product feature catalog? See all platform features →

Real-Time Fraud Detection

Every click analyzed against 30+ signals in under 50ms. Fraud scores, classifications, and block decisions in real time.

All plans

Automatic IP Blocking

Fraudulent IPs added to your ad platform exclusion lists automatically. No manual CSV uploads.

All plans

30M+ Fraud IP Database

Preemptive blocking from our global network intelligence database, updated hourly.

All plans

Multi-Platform Protection

Native integration with Google Ads, Meta, and Microsoft. One dashboard, all platforms.

All plans

Refund Claim Reports

Auto-generated evidence packages for platform refund requests. Export as PDF with full signal analysis.

All plans

Session Recording

Replay suspicious sessions to verify fraud visually. See exactly what bots and click farms do.

Growth+

Custom Detection Rules

Build account-specific fraud rules based on your industry, geography, and conversion patterns.

Growth+

API Access

Pull fraud data, manage blocklists, and integrate detection into your own systems via REST API.

Scale only

Dedicated Account Manager

Direct access to a fraud analyst who tunes your detection model and reviews edge cases.

Scale only

Ready to See It in Action?

Start a 30-day free trial. Full access to all detection and protection features. No credit card required.

Start Free TrialCompare Plans
USE CASES

Who Click Fraud Detection Is Built For

Different verticals face different fraud patterns. Here's how Ciaro protects each one.

E-COMMERCE & RETAIL

Protect Product Ad Spend From Bot Traffic

E-commerce brands lose 18–25% of their ad budget to click fraud from competitor bots, affiliate fraud, and click farms targeting high-CPC product ads.

WHO YOU ARE
D2C brands, online retailers, marketplaces, and Shopify/WooCommerce stores running Google Shopping, Meta catalog ads, or TikTok product campaigns.
WHY YOU NEED THIS
Product ads attract bots because they're high-intent, high-CPC, and easy to scale attacks against. Competitor brands drain budgets by repeatedly clicking your top SKUs. Affiliate fraud generates fake conversions to claim commission.
COMMON FRAUD PATTERN
Competitor bots clicking your best-performing product ads during peak shopping hours (10 AM–2 PM, weekends). Click farms generating fake 'add to cart' events to corrupt your smart bidding data.
WHAT CIARO DOES
Blocks competitor IPs in real time. Detects bot-generated cart events via behavioral entropy analysis. Protects Shopping and Dynamic Remarketing budgets across Google, Meta, and TikTok.
See full eCommerce fraud protection
LEGAL & PROFESSIONAL SERVICES

Stop Competitor Sabotage in High-CPC Markets

Legal services face the highest competitor-click rates of any vertical — up to 38% invalid traffic in personal injury, family law, and DUI defense.

WHO YOU ARE
Law firms, legal marketing agencies, and solo practitioners running Google Ads in competitive local markets where CPCs exceed $100–$300 per click.
WHY YOU NEED THIS
Competitor firms exhaust your daily budget by 9 AM. Click fraud in legal is deliberate sabotage, not random bots — rival firms hiring click farms or manually clicking ads to lock you out of auction visibility.
COMMON FRAUD PATTERN
Concentrated bursts of clicks from specific IP clusters between 8–10 AM when most searches happen. Same IPs clicking multiple keyword variants (DUI lawyer, DUI attorney, DUI defense) within minutes.
WHAT CIARO DOES
Identifies competitor IP clusters on day one using legal-specific fraud signatures. Blocks coordinated attacks before your daily budget is exhausted. Generates refund reports with full evidence for Google.
SAAS & B2B

Eliminate Fake Demo Signups & Bot Form Fills

B2B advertisers lose budget to fake demo requests and junk leads that pollute CRMs and waste sales team time qualifying non-existent prospects.

WHO YOU ARE
SaaS companies, B2B software vendors, and enterprise solution providers running lead-gen campaigns on Google, LinkedIn, and Meta targeting demo signups and trial registrations.
WHY YOU NEED THIS
Bot-generated form fills create fake leads that corrupt your CRM data and smart bidding signals. Sales wastes hours qualifying junk leads. Campaign optimization breaks when half your 'conversions' are fake.
COMMON FRAUD PATTERN
Bots filling demo request forms with realistic-looking fake names and emails (john.smith@gmail.com, random company names). Form submissions with zero page interaction before submit. Sequential form fills from same IP.
WHAT CIARO DOES
Detects bot-generated conversions via form-fill velocity and pre-submit behavioral analysis. Flags suspicious leads in real time so sales can deprioritize them. Cleans conversion data feeding your bidding algorithms.
AGENCIES & TEAMS

Protect All Client Budgets From One Platform

Agencies managing 10+ client accounts need centralized fraud protection with client-specific reporting and white-label deliverables.

WHO YOU ARE
PPC agencies, marketing consultants, and in-house teams managing multiple ad accounts across different verticals, budgets, and platforms.
WHY YOU NEED THIS
You're responsible for protecting client budgets but lack visibility into which accounts are bleeding money to fraud. Manually auditing 20 accounts monthly is impossible. Clients expect transparent fraud reporting.
COMMON FRAUD PATTERN
Varies per client vertical. E-commerce clients hit by competitor bots. Legal clients targeted by rival firms. Lead-gen clients polluted by fake form fills. Each needs different detection rules.
WHAT CIARO DOES
Multi-account dashboard with per-client fraud rates and budget savings. White-label reports you can send directly to clients. Account-specific detection tuning for different verticals. Proves ROI of your fraud management.
PLATFORM INTEGRATIONS

Native Integration With Every Major Ad Platform

One-click setup. Real-time blocking. No manual exports. Ciaro syncs directly with ad platform APIs.

Google Ads
Native API
Real-time IP exclusion sync
Campaign-level blocking
Automatic refund reports
Shopping & Performance Max support
Meta Ads
Native API
Facebook & Instagram coverage
Audience exclusion sync
Catalog ad protection
Cross-platform fraud detection
Microsoft Ads
Native API
Bing network protection
Real-time IP blocking
Audience list sync
Search & Shopping campaigns

Also Protects

TikTok Ads
Detection only
LinkedIn Ads
Detection only
X Ads (Twitter)
Detection only
Pinterest Ads
Detection only

'Detection only' platforms: Ciaro identifies fraud but blocking requires manual CSV export. Native blocking coming soon.

How Platform Integration Works

1
Connect Account
One-click OAuth connection. No API keys required.
2
Fraud Detection Starts
Ciaro analyzes every click within 24 hours.
3
Auto-Blocking Begins
Blocked IPs sync to your exclusion lists in real time.
COMMON QUESTIONS

Technical Questions About Fraud Detection

How the detection engine works, what it catches, and what happens when fraud is identified.

LEARN MORE

Related Resources & Documentation

Deep-dive guides, methodology docs, comparison pages, and tools for understanding click fraud.

Still Have Questions About How Detection Works?

Talk to our fraud detection team. We'll walk through your specific use case and show you exactly what Ciaro would catch in your account.

Schedule Demo Call
COMPARE & DECIDE

How Ciaro Compares to Other Fraud Detection Platforms

See side-by-side comparisons of detection accuracy, pricing, features, and platform support across the top click fraud prevention tools.

VS

Ciaro vs ClickCease

ClickCease offers basic fraud detection at $63/mo. Ciaro provides higher accuracy, faster blocking, and session replay for $19/mo.

70% lower cost ($19 vs $63/mo)
Session replay included
<50ms detection vs 2-3 min average
See full comparison
VS

Ciaro vs ClickGuard

ClickGuard focuses on Google Ads only at $74/mo. Ciaro protects Google, Meta, and Microsoft with multi-platform detection.

74% lower cost ($19 vs $74/mo)
Meta + Microsoft support
Refund reports auto-generated
See full comparison
VS

Ciaro vs Lunio

Lunio requires custom enterprise contracts with 6-month minimums. Ciaro offers transparent monthly pricing starting at $19.

No contracts or commitments
Start/stop anytime
30-day free trial available
See full comparison

Need a Complete Side-by-Side Breakdown?

See pricing, features, detection accuracy, platform support, and refund capabilities compared across all major fraud detection platforms.

View Full Comparison Table
START PROTECTING YOUR AD SPEND

See Ciaro Detect Fraud in Your Account in Real Time

Start a 30-day free trial. Full access to detection, blocking, session replay, and refund reports. No credit card required. Cancel anytime.

No credit card needed
30-day free trial
Setup in 2 minutes
Cancel anytime
Currently protecting 2,100+ active advertiser accounts covering ~$47M/month in monitored ad spend (as of May 2026 — see /methodology)
97.4%
Detection accuracy
<0.3%
False positives
42ms
Avg decision time
Quick reference

Ciaro anti-fraud detection engine — at a glance

What this page is about

How Ciaro's detection engine scores every paid click using 30+ behavioral, device, network, and campaign-context signals through an ML ensemble.

Who it is for

Performance marketers, agencies, and in-house PPC teams who need transparent, multi-network click fraud detection — not a black box.

Main problem solved

Sophisticated invalid traffic that platform-native filters miss: residential-proxy bots, click farms, competitor IPs cycling through VPNs, and humanized automation.

Key benefits

Sub-second scoring, two-pass detection (real-time + delayed), conversion-aware whitelist, false-positive rate under 0.3%, and full per-click audit trail.

When to use Ciaro

Whenever paid spend is non-trivial and conversion signal quality matters: Smart Bidding accounts, lead-gen funnels, and high-CPC verticals like legal, finance, and B2B SaaS.

Networks

Google Ads (full sync), Microsoft (Bing) Ads (full sync), Meta Ads (sync where supported), TikTok Ads (detection-only).

Related pages: Google Ads protection · eCommerce protection · Methodology
Further reading

Related products & guides

Google Ads click fraud protection
Performance Max + Smart Bidding compatibility, automatic IP exclusion sync, refund reports.
eCommerce ad fraud protection
Protect Shopify, WooCommerce, Magento, and BigCommerce from bot-driven fake conversions.
Ciaro detection methodology
Signal taxonomy, scoring thresholds, false-positive controls, and known limitations.