In today’s digital advertising landscape, ad networks face increasing challenges related to traffic quality. Publisher fraud, lack of detailed analytics, limited data for evaluation, and difficulties in traffic classification all contribute to reduced advertising campaign efficiency and financial losses. Many companies are aware of the fraudulent traffic problem but lack tools that not only confirm the issue but also help solve it.

Behavioral analysis is the solution that allows ad networks to go beyond basic anti-fraud methods and gain full control over traffic quality.

Key Challenges for Ad Networks in Ensuring High-Quality Traffic


1. Fraud from Publishers

Publishers use various methods to generate artificial traffic, including bots, emulators, and ad-click fraud. Without detailed behavioral analysis, detecting such schemes is nearly impossible. Traditional anti-fraud solutions often only confirm the existence of a problem but do not provide tools to eliminate it.

Result: Budget losses, reduced campaign effectiveness, and damage to the network’s reputation.

2. Insufficient Analytics Detail

Many anti-fraud systems provide overly general reports, making traffic filtering more difficult. For example, an ad network may see that a certain source has a high percentage of fraudulent traffic but does not receive data on specific reasons—whether it was automated clicks, unusual user behavior, or other factors.

Result: Difficulty in identifying problematic sources and an inability to optimize traffic.

3. Limited Fraud Analysis Capabilities

Some ad networks are unwilling to pay for anti-fraud solutions that merely confirm known issues. However, without in-depth analysis tools, traffic protection becomes complex and ineffective. Without understanding the specific fraud mechanisms, ad networks cannot effectively counteract fraudulent sources.

Result: Continued reliance on low-quality sources, leading to financial losses.

4. Lack of Flexible Filtering

Different types of traffic require different analytical approaches. Universal filters often block potentially high-quality traffic or, conversely, allow fraudulent traffic to pass through. Flexible settings allow networks to consider the specifics of each source, but most existing solutions do not offer sufficient customization.

Result: Incorrect blocking of legitimate traffic or failure to detect fraudulent schemes.

How Behavioral Analysis Solves These Issues


Behavioral analysis is a method of in-depth assessment of user activity that identifies patterns, anomalies, and potential fraudulent actions in real-time. Unlike standard fraud detection methods such as IP or User-Agent verification, behavioral analysis tracks real user actions, detecting inconsistencies and suspicious patterns.

Key Capabilities of Behavioral Analysis:


  • Identifying user behavior models. Helps distinguish real users from bots by tracking click speed, cursor movement, and time spent interacting with content.
  • Detecting anomalous activity. If a user behaves atypically (e.g., instantly switching pages or clicking at precise intervals), it signals potential fraud.
  • Detailed analytics for each traffic source. Provides ad networks with not just fraud percentages but also precise reasons for flagged traffic, allowing for campaign adjustments.
  • Flexible filtering settings. The system adapts to traffic characteristics, reducing false positives and increasing analysis accuracy.
  • Monitoring new sources with minimal risk. Ad networks can test new publishers and ad placements while minimizing the risk of working with fraudulent sources.

Why Should Ad Networks Choose Kaminari Click?

Kaminari Click offers advanced behavioral analysis that not only detects fraud but also helps understand its root causes. Our solutions allow ad networks to:

  • Gain full control over traffic quality with detailed analytics.
  • Detect not only obvious but also hidden fraud involving bots and emulators.
  • Apply flexible filtering based on campaign specifics.
  • Receive detailed reports with transparent reasons for traffic being flagged as suspicious.
  • Optimize advertising campaigns, reducing budget losses and increasing conversion rates.

Want to Protect Your Ad Network from Fraud and Improve Traffic Quality?


Request a demo from Kaminari Click today!

Kaminari Click is your tool for in-depth user behavior analysis, detailed traffic insights, and powerful anti-fraud protection. Submit your request on our website and start using behavioral analysis in your ad network today!