Click fraud in advertising: Is it an unavoidable "game"?

Click fraud has been and continues to be a serious issue in online advertising, causing significant financial losses for businesses. What is click fraud and why does it persist in an increasingly sophisticated advertising ecosystem? Is click fraud an unavoidable reality or something that can be controlled? Markdao will help you explore the causes, impacts, and solutions to manage this fraudulent behavior, helping you optimize your advertising campaigns.

What is click fraud?

Click fraud is the act of intentionally clicking on online advertisements multiple times to cause harm to the advertiser. The goal is often to deplete advertising budgets or generate skewed data that misrepresents campaign performance.

Click fraud is a form of online advertising fraud where individuals use bots, click farms, or automated scripts to generate fake clicks on ads. The objective is to drain a competitor's advertising budget or generate illicit revenue from advertising platforms.

Key statistics on click fraud in 2024

Other industry terms for "click fraud":

How click fraud works

Click fraud can be carried out in many ways, such as using automated bots to simulate human behavior, hiring real people at click farms to perform manual clicks, using proxies or VPNs to constantly change IP addresses, emulating mass virtual devices to generate mobile clicks, or even website publishers committing fraud themselves to inflate their revenue. Additionally, there is click bombing—the intentional sabotage of a competitor's advertising budget. These methods are becoming increasingly sophisticated and difficult to detect.

1. Automated bot click fraud

Detailed execution:
The perpetrator writes scripts that simulate real user behavior, such as visiting a website, scrolling, waiting a few seconds, and then clicking on an ad. These scripts can be customized with wait times, click locations, or even complex interactions like mouse movements and opening new tabs to avoid being flagged by ad systems as unnatural behavior.
Bots are run continuously using cron jobs or task schedulers to generate hundreds or thousands of clicks per day.

Popular software & tools:

• Selenium WebDriver: Used to control browsers like Chrome or Firefox to automatically click on specific elements on a page.
• Puppeteer (Google): Controls Chrome in headless mode, allowing for faster and more lightweight click execution.
• Rotating Proxy Services like BrightData or Smartproxy: Automatically change IP addresses every few seconds or clicks to avoid detection due to IP repetition.

Why is it effective?
Because the behavior is programmed to mimic real humans: scrolling, waiting, and clicking on valid elements. Without advanced AI detection, bot clicks are difficult to identify.

Difficulty & Popularity:
Moderate to high. Requires programming knowledge and an understanding of the DOM. However, with many free scripts now available on GitHub, it is becoming increasingly popular.

2. Click farm (manual human-driven clicks)

Detailed execution:
A group of people (often hired in India, Pakistan, Indonesia, the Philippines, etc.) is assigned a list of ads to click. They use multiple devices and 3G/4G SIM cards to obtain different IP addresses, manually navigating to Google, Facebook, or apps to find and click the specific ads. Some are even instructed to wait 10–20 seconds before exiting to ensure they aren't flagged as a bounce.

Operational infrastructure:

• These groups are organized like call centers, with each person managing 2–3 phones, multiple accounts, and fake profiles.
• They follow detailed scripts, for example: search keyword → click ad → stay on page ≥ 30s → exit → report completion.

Why is it effective?
Real people – real devices – real IPs. It is harder to detect than bots. It is particularly effective for sabotaging competitors or committing app install fraud due to its high level of authenticity.

Difficulty & Popularity:
Easy – requires only people and instructions. Popular in Southeast Asia and South Asia, especially in affiliate marketing and CPI/CPA advertising apps.

3. Using VPNs and Proxies to rotate IPs

Detailed execution:
Hackers set up a bot (or perform manual clicks) but use a VPN/proxy system so that every click originates from a new IP address. For example, after every 5 clicks, the script automatically reconnects to a VPN server or switches proxies.
This helps bypass fraud detection systems that rely on identifying repeated clicks from the same IP or device.

Commonly used tools:

• Proxy Rotator Services: Oxylabs, BrightData, GeoSurf.
• Command-line controlled VPN APIs: NordVPN CLI, OpenVPN + scripts.
• Automation combining bots + proxies: creating a “click-fraud-as-a-service” system.

Why is it effective?
IP addresses change constantly, making them difficult to block. Systems only see “valid traffic” from various countries and devices, making detection challenging.

Difficulty & Popularity:
Moderate. Requires knowledge of networking, proxies, and DNS. Common in medium-to-large scale click fraud operations.

4. Using Device Emulators (Emulator Click Fraud)

Detailed implementation:
Hackers install Android/iOS emulator software (Bluestacks, NoxPlayer) on a PC. They then use “multi-instance” mode to run dozens of virtual machines simultaneously, with each machine running an app or browser.
On each emulator, hackers can:

• Simulate installing apps from CPI/CPA ads and then uninstalling them.
• Click on banner ads within apps and then close them.
• Mimic real user behavior to avoid system suspicion.

Commonly used tools:

• NoxPlayer, LDPlayer, MEmu: support multiple virtual machines simultaneously.
• AutoHotkey, MacroDroid: automate clicks at specified locations.
• IP switcher plugin: to assign a different proxy to each virtual machine.

Why is it effective?
Virtual devices are still counted as real users. It is very difficult to distinguish them when analysis systems rely solely on end-user behavior.

Difficulty & Popularity:
High – requires powerful configuration and technical expertise. Very common in app install fraud and mobile traffic fraud.

5. Click bombing – Sabotaging competitors

Detailed execution:
This is a targeted attack strategy where the perpetrator identifies a competitor's running ads (usually Google Ads or Facebook Ads) and then generates continuous, massive clicks on those ads. The goals are to:

• Exhaust the daily budget early (ad exhaustion).
• Cause the account to be flagged for low CTR, reducing ad quality.
• Skew measurement data → negatively impacting conversion optimization.
• How click bombing is organized:
• Using bots (such as Selenium) with proxy IPs to click continuously during the first few hours of the day.
• Or hiring click farms to distribute realistic behavior in real-time.
• Sending traffic from domains pointing to the ad page to increase bounce rate and lower landing page quality.

Why is it effective?
Most Google Ads/Facebook Ads systems still rely on metrics like CTR, CPC, and bounce rate. When sabotaged, these metrics deteriorate, causing ad performance to drop rapidly.

Difficulty & Popularity:
Medium. Easy to deploy with bots + proxies. Very common in highly competitive industries such as healthcare, real estate, education, and online courses.

6. Publisher-side fraud (website owners intentionally generating fake clicks)

Detailed execution:

• Websites that host ads like AdSense, Taboola, and Outbrain can generate fake clicks by:
• Embedding scripts that automatically click a few seconds after a user visits.
• Embedding hidden iframes containing ads that the user cannot see, but which still count as clicks.
• Designing "trap" banners that trick users into clicking near functional buttons.
• Using internal bots to click on ads displayed on their own websites.

Commonly used tools:

• Automatic click JavaScript: element.click()
• 1x1 pixel iframes: displaying ads in a tiny, invisible frame.
• CSS cheating: making ads look like native content.

Why is it effective?
Platforms like Google AdSense process billions of impressions daily. If fake clicking behavior is executed cleverly (at the right ratio and naturally interspersed), it is difficult to detect.

Difficulty & prevalence:
Easy to moderate. Common among "black hat" publishers and tabloid news sites.

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Why does click fraud still exist?

Google is well aware of how click fraud works, but because this behavior closely mimics real users, changes constantly, and the line between legitimate and fraudulent activity is blurred, it cannot be completely prevented. Instead, they manage it by recording, analyzing, filtering, and issuing refunds after the fact.

1. Click fraud closely mimics real user behavior

Modern bot tools (such as Selenium, Puppeteer, Android emulators, etc.) can accurately simulate real user behavior: mouse movements, scrolling, random wait times, and clicking on the exact ad location. Many clicks are performed by real people (click farms), leaving no clear signs to distinguish them, as the behavior, devices, and browsers are all legitimate. Google and other platforms cannot block real people from the start if they do not immediately violate the rules.

2. Detection systems rely on big data – and need time to learn

Platforms like Google Ads use AI and machine learning to analyze behavior and identify invalid clicks. However, to confirm that an action is fraudulent, the system needs:

• Sufficient data (repetitive behavior, unusual clicks from the same IP or device).
• Time for machine learning to detect behavioral patterns.

Therefore, the system's response is "reactive" rather than preventative.

3. Click fraudsters are constantly changing their tactics

Much like a computer virus, once platforms detect one form of click fraud, the perpetrators simply:

• Switch to different proxies,
• Simulate new behaviors,
• Use new devices or different countries.

This "cat and mouse" game never ends, and the attackers are always one step ahead.

4. The line between "legitimate clicks" and "worthless clicks" is very blurry

Not all non-converting clicks are fraudulent. It could be that:

• Real users clicked but had no intent to purchase.
• The click was accidental or driven by curiosity.
• The user was just browsing (product research).

Google cannot block clicks based on "low conversion" or "lack of value," because that does not necessarily equate to fraud.

5. Conflict of interest

Google, Meta, and other advertising platforms make money from clicks. While they have refund policies for invalid clicks, they:

• Do not disclose the details of their detection algorithms (to prevent them from being exploited).
• Do not provide refunds for "suspicious" clicks that lack sufficient evidence.

This leaves many advertisers feeling vulnerable and disadvantaged, yet they cannot afford to leave major platforms like Google Ads.

6. False positives can have serious consequences

If Google mistakenly blocks a real user, it can impact:

• User experience.
• Advertising performance (loss of potential customers).
• Google's own reputation.

Therefore, they are extremely cautious when flagging a click as fraudulent.

Signs and impact of click fraud

Signs that your ad campaign is being targeted by click fraud include a sudden spike in CTR without corresponding conversions, a high bounce rate, and very low time on page. Additionally, many clicks coming from the same IP, device, or region within a short period are red flags. Advertising costs rise sharply without a corresponding increase in revenue. Unusual click times (such as early morning hours) and repetitive behavior from the same users are also warning signs. Carefully analyzing reports from Google Ads and Google Analytics will help you detect these signs of fraud early.

• Click-through Rate (CTR) spikes abnormally without being accompanied by conversions.
• A sudden surge in clicks from a specific IP, region, device, or browser within a short timeframe.
• High bounce rate : Users click on the ad but leave the page immediately, usually in less than 5 seconds.
• Average Session Duration is very low and inconsistent with genuine user behavior.
• There is no corresponding increase in direct or organic search traffic despite high ad click-through rates.
• High click volume with no subsequent actions such as form submissions, purchases, or registrations.
• Advertising costs are rising rapidly while ROI remains stagnant or even declines.
• Google Analytics reports a high frequency of duplicate device parameters or IP addresses.
• The same IP address appears repeatedly in Ads reports.
• Google Ads reports show high engagement rates during unusual hours, such as 2:00 AM to 5:00 AM.

Solutions to mitigate click fraud

To mitigate click fraud, businesses should utilize monitoring tools and implement anti-click fraud measures from the outset.

USE CLICK FRAUD PROTECTION SOFTWARE

One of the most effective ways to combat click fraud is by using specialized tools. Click fraud detection software helps businesses identify fraudulent activity quickly:

• ClickCease: Automatically detects and blocks invalid clicks while providing detailed reports on suspicious activity.
• TrafficGuard: Analyzes traffic, detects bots, and filters out invalid clicks.
• Monitor IP addresses and unusual behavior: Businesses should regularly review IP reports to identify addresses with abnormal click patterns and exclude them from their targeting lists.

‍Example using ClickCease:

• Step 1: Visit https://www.clickcease.com and create an account.
• Step 2: Connect your Google Ads account by logging in via API.
• Step 3: Set up automatic blocking:
  
  • Block IPs after 2–3 clicks.
  • Block by geographic region if you notice high levels of invalid clicks from a specific area.
  • Block by suspicious device types or browsers.
• Step 4: Enable "Auto IP Blocking," and the software will update the IPs in Google Ads to prevent further clicks.

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Optimize ad settings

LIMIT GEOGRAPHY AND AD SCHEDULE

On Google Ads

• ‍Step 1: Open campaign → Tab Settings
• Step 2: Go to Location → Select “Presence: people in or regularly in your targeted locations”, and exclude “people in, or who show interest in, your targeted locations”.‍
• Step 3: Add specific locations like “Ho Chi Minh City” and exclude “India”, “Pakistan”... if you do not do business there.‍
• Step 4: Go to Ad Schedule → Set it to run only from 8:00 AM – 8:00 PM on business days.

FREQUENCY CAPPING

For Display Ads:

• Step 1: Go to campaign → Additional Settings
• Step 2: Select "Frequency Capping" → Limit:
  
  • 2–3 times/day/user.
  • Or 5–7 times/week.

This helps prevent users (or bots) from seeing ads too many times in a short period.

TRACKING USER BEHAVIOR IN GOOGLE ANALYTICS

Step 1: Open GA → Go to Audience → Technology → Browser & OS

• Check for any strange or outdated browsers, or traffic spikes from a specific type of device.

Step 2: Go to Audience → Geo → Location

• Check which geographic regions have an unusually high bounce rate.

Step 3: Go to Behavior → Site Content → All Pages

• Check if any landing pages have an on-site time of less than 5 seconds or show no user activity.

MANUALLY BLOCKING IPS IN GOOGLE ADS

• Step 1: Go to your campaign → Settings
• Step 2: Click “Additional settings” → “IP exclusions”
• Step 3: Paste the list of suspicious IPs you collected from software or Analytics → Save.

Reporting and filing complaints with the advertising platform

Step 1: Visit:
🔗 https://support.google.com/google-ads/troubleshooter/2594910

Step 2: Prepare the following information:

• Google Ads account name.
• Campaign or ad group ID.
• Timeframe of the invalid clicks.
• Suspicious IP addresses, device types, and data from anti-click software.

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Step 3: Submit the form → Google will verify and may refund the costs for invalid clicks.

Is it possible to completely eliminate click fraud?

Completely eliminating click fraud remains a major challenge due to technical and legal barriers. Click fraud tools are becoming increasingly sophisticated, while current monitoring systems have limitations. However, the development of AI technology is opening up new opportunities in combating click fraud, with the ability to detect abnormal behavior and block fake clicks more effectively.

To mitigate click fraud, businesses need to proactively adopt new technologies, monitor closely, and raise awareness about what click fraud is, thereby protecting their advertising budgets comprehensively.

Conclusion

Click fraud may be an unavoidable part of the "game" in online advertising, but that does not mean businesses have to give up. By clearly understanding what click fraud is, by applying new monitoring technology and proactive preventive measures, you can effectively limit click fraud and optimize your advertising campaigns.

Markdao believes that by combining AI technology with the right strategy, businesses can always maintain the upper hand in the battle against click fraud.