Fraud

Fraud is any fraudulent action aimed at obtaining benefits through deception on the internet. The term is widely used in marketing, e-commerce, advertising systems, the banking sector, and IT. Fraud can distort statistics, lead to budget losses, and disrupt service operations.

What is Fraud

Fraud (from the English word “fraud”) is the intentional manipulation of data, actions, or systems for the purpose of deception. It can manifest in advertising campaigns as well as in financial or user transactions.

In simple terms—any action that creates the appearance of genuine activity but brings no real value and causes harm to a business.

Main Types of Fraud

1. Advertising Fraud
   Manipulation of digital advertising statistics:

• Click fraud (bots, click farms).
• Fake impressions.
• Ad inventory spoofing.
• Competitor click fraud.
  This leads to increased spending without acquiring real customers.

2. Traffic Fraud
   Purchasing or generating low-quality traffic that does not convert:

• Bots.
• Non-targeted users.
• Incentivized traffic (traffic “for a reward”).

3. Financial Fraud
   Payment fraud:

• Use of stolen cards.
• Chargeback fraud.
• Fake transactions.

4. E-commerce Fraud
   Deceptive actions by buyers:

• Fake orders.
• Free returns after using the product.
• Creating multiple accounts to exploit bonuses.

5. Mobile App Fraud
   Faking installs and in-app events:

• Install fraud.
• Fake registrations.
• Post-click attribution manipulation.

The Dangers of Fraud

• Increases advertising spend without results.
• Distorts analytics—incorrect data leads to poor decision-making.
• Damages reputation in case of financial schemes.
• Raises operational costs for verification and monitoring.
• Erodes customer trust.

How to Recognize Fraud

• Suspicious traffic spikes.
• Many clicks with no conversions.
• Recurring IP addresses.
• Abnormally low conversion rates (CR).
• Uncharacteristic user behavior.
• Frequent chargebacks.
• High percentage of new users who never return.

How to Protect Against Fraud

1. Anti-Fraud Systems: Specialized services that detect anomalies (e.g., FraudScore, AppsFlyer Protect360).
2. Call Tracking and Tags: Help identify suspicious traffic sources.
3. Platform-Level Filters: Utilize fraud prevention tools in Google Ads, Meta*, VK Ads, etc.
4. Verification Mechanisms: SMS codes, two-factor authentication, CAPTCHA.
5. Behavioral Analytics: Anomalous behavior is a key indicator of fraud.

Where the Term is Used

• Digital marketing.
• Advertising platforms.
• Banking sector.
• Insurance.
• E-commerce.
• Mobile analytics.
• SaaS services.

Conclusion

Fraud encompasses any deceptive online actions that cause financial or reputational harm to a business. To minimize risks, companies use anti-fraud solutions, behavioral analytics, and strict verification mechanisms.

The larger the company and its traffic volume, the higher the risk of fraud—making ongoing monitoring and control essential.