Ad Fraud and Bot Traffic: How to Spot Fake Results

What ad fraud is

Ad fraud is any trick that makes you pay for advertising results that no real, interested person produced. It can be a bot that clicks your ads, a farm of phones that installs your app, a script that fills your sign-up form, or a real person who fakes a task to collect a reward. The money goes to whoever runs the scheme, and your reports fill with numbers that will never turn into customers.

Fraud exists in every channel and every country. Estimates of how much traffic is fake vary widely, and no single figure fits every channel, so the useful question is not how common fraud is in general, but how much of it reaches your own campaigns.

The most common types of ad fraud

• Bot traffic. Automated scripts visit pages, click ads, and sometimes fill forms. Simple bots are easy to spot, while advanced ones imitate mouse movements and real browsers.
• Click farms. Groups of people or racks of devices click, install, and sign up by hand for very little money each.
• Click spamming and click injection. Fake clicks are fired in the background so that a fraudster can claim credit for installs or sales that would have happened anyway.
• Hidden and stacked ads. Display ads are loaded in invisible frames or piled on top of each other, so you pay for impressions nobody could see.
• Domain spoofing. Low-quality sites pretend to be well-known publishers to sell their inventory at a higher price.
• Fake leads and sign-ups. Forms are filled with invented or stolen details, often to collect a per-lead payment.
• Reward abuse. On incentivized traffic, one person uses many accounts, or submits fake proof, to collect the same reward several times.
• Location fraud. VPNs and proxies make traffic appear to come from a high-paying country.

Warning signs in your data

Fraud rarely announces itself in a single result. It shows up as patterns that real people do not produce:

• Timing that is too perfect or too fast. Sign-ups every 30 seconds, installs within seconds of the click, or tasks finished faster than anyone could read the instructions.
• Repeats. Many results from the same IP address, device model, or email pattern, such as name123, name124, and name125.
• No engagement afterwards. Users who never log in again, never open the app a second time, or never click the confirmation email.
• Data center addresses. Traffic from hosting companies instead of home and mobile internet providers.
• Location mismatches. A user in one country with a phone language, time zone, or currency from another.
• Sudden spikes from one source that do not match any change you made.
• Reused proof. The same screenshot, or one edited slightly, submitted for several task completions.

How to check your own traffic

1. Split results by source. Fraud usually concentrates in one network, site, or campaign. Averages hide it.
2. Follow users past the result. Compare day 7 activity, purchases, or email opens by source. Real users do something after they arrive.
3. Look at the raw records for a sample of results: times, IPs, devices, and proof.
4. Add a hidden form field that people cannot see but simple bots fill in, and discard any submission that contains it.
5. Require email or phone confirmation before a sign-up counts as a result.

How to protect your budget

• Pay for results you can check. Paying per verified action, rather than per impression or click, moves most of the fraud risk away from you.
• Review before you pay. An approval window gives you time to reject fake results before they are charged.
• Ask for proof that is hard to fake, such as a screenshot of a page only a real user can reach.
• Cap spend per hour and per day, so a sudden wave of fake results cannot drain the budget.
• Verify postbacks with a signature so nobody can report conversions that did not happen. See What is a postback URL?
• Buy from sources that explain their checks, and be suspicious of prices far below everyone else’s.

What publishers and rewards sites do

Honest publishers lose from fraud too, because advertisers pay less for traffic they cannot trust and reverse results they reject. Good rewards sites therefore check users before the advertiser ever sees them: they detect VPNs and proxies, fingerprint devices to stop multiple accounts, hold new earnings for a while, and review large withdrawals. Shark Earnings, our sister rewards site, explains in Identity verification: what we check and when why some cashouts need an identity check. Sharklio publishers follow the traffic quality rules.

How Sharklio handles fraud

On Sharklio, our team reviews every campaign before it runs, and our automated checks filter task completions before they reach you. You then see each completion with its proof, country, device, and time, and you decide whether to approve it. Rejected completions cost nothing, and a rejection needs a reason so users know what went wrong. Completions you do not review within your approval window are approved automatically, so pick a window you can keep up with. Click campaigns are credited only after the visitor stays on your page for the view time you chose and passes our checks. Read Review completions and choose the right approval window and Pay only for approved results.

Frequently asked questions