Click Fraud Statistics 2026: Fake Clicks and Bot Traffic

Share of PPC clicks that are invalid

14%–35%

Between 14% and 35% of clicks on global PPC ad networks are classified as invalid traffic (IVT) across various categories.

Source: Industry consolidation (IAB, Juniper Research, ClickCease/CHEQ reports) · 2024–2025

Global annual cost of click fraud

~$84 billion

According to Juniper Research's 2024 estimate, losses from click fraud and invalid traffic across all digital advertising channels exceed $84 billion.

Source: Juniper Research, Future Digital Advertising Trends 2024 · 2024

Average share of advertiser budget lost to bot traffic

20%–40%

In unprotected Google Ads campaigns, typically 20–40% of the budget goes to fake or low-quality traffic. It varies by industry and target keywords.

Source: wall.click internal customer data (average of 37 customers) · 2025–2026

Bot share of total internet traffic

~49.6%

According to the Imperva 2024 Bad Bot Report, roughly half of all internet traffic comes from bots rather than humans. Bad bots account for 32%, good bots for 17.6%.

Source: Imperva Bad Bot Report 2024 · 2024

Annual growth of malicious bot traffic

+19%

According to Imperva, malicious bot traffic grew 19% year over year, led by AI-powered scrapers and credential-stuffing bots.

Source: Imperva Bad Bot Report 2024 · 2024

Size of residential proxy networks

100M+ IPs

The combined inventory of known commercial residential proxy networks exceeds 100 million home IPs — one of the biggest threats, as it renders classic data-center ASN filters ineffective.

Source: Aggregated reports from Spur, IPQualityScore and Trustpath · 2024–2025

Invalid click rate detected automatically by Google Ads

~10%

Google states that its automated filters remove roughly 10% of invalid clicks from advertiser invoices each month. The remaining SIVT (Sophisticated Invalid Traffic) must be caught manually or with third-party tools.

Source: Google Ads Help — Invalid Click Activity · 2025

Google's acceptance rate for manual refund requests

25%–30%

According to industry data, manual refund requests submitted without behavioral evidence have an average acceptance rate of 25–30%.

Source: PPC Hero, Search Engine Land refund guides · 2024

Acceptance rate of refund requests prepared with wall.click

45%–60%

Reports enriched with behavioral signals, device fingerprints and session-quality evidence see markedly higher acceptance rates. The wall.click customer average falls in the 45–60% range.

Source: wall.click internal customer data (12 months) · 2025–2026

Industries with the highest CPC and fraud risk

Legal, insurance, healthcare

According to WordStream industry benchmarks, average US cost per click ranks: legal (~$8.94), insurance (~$7.62), healthcare (~$6.85). These industries also see the most intense competitor click fraud.

Source: WordStream Google Ads Benchmarks · 2024

Bot click rate in e-commerce campaigns

18%–25%

In e-commerce, bot click density rises to 2–3x normal levels during Black Friday, promotions and sale periods; the annual average sits at 18–25%.

Source: wall.click e-commerce customer segment data · 2025

Size of the Turkish Google Ads market

~₺18 billion

According to RTB House and Statista estimates, Turkey's Google Ads market has reached ₺18 billion per year; even a 20% fraud rate means ~₺3.6 billion in annual losses.

Source: Statista Turkey Digital Advertising 2025 · 2025

Concentration of known click farm locations

South Asia, Eastern Europe

According to BBC Newsnight and Trend Micro research, large-scale click farm operations are mostly based in Bangladesh, India, Vietnam, the Philippines and some Eastern European countries.

Source: BBC Newsnight, Trend Micro Click Farm reports · 2023–2024

Average number of devices per click farm

500–10,000+

A typical click farm runs anywhere from 500 to several tens of thousands of devices. Because the devices are real, classic headless detection fails; behavioral clustering is required.

Source: Trend Micro, Imperva click farm research · 2024

Average decision time (click → score)

<200ms

The wall.click engine evaluates every click in real time against 30+ signals and produces a risk score in under 200 milliseconds — critical for Google Ads IP exclusions to stop traffic effectively.

Source: wall.click platform measurements · 2026

Signal types actively monitored

30+

More than 30 signals are evaluated per session, including device fingerprint, ASN, data-center risk, behavioral patterns, threat intelligence, historical signals and session context.

Source: wall.click platform documentation · 2026

Snippet size

<8KB gzip

The wall.click tracking snippet is under 8KB, loads asynchronously and has no measurable impact on Core Web Vitals scores.

Source: wall.click platform documentation · 2026

Average customer savings (after fraud cleanup)

22%

Active wall.click users achieve an average net saving of 22% on their Google Ads budget within the first 90 days (refunds + blocked fraud + conversion improvements combined).

Source: wall.click internal customer data · 2025–2026