Data Validation Filter

Comprehensive Guide to Data Validation in Fraud Detection

Introduction

Data Validation filter, formerly Parameter Check, is an important feature in fraud detection that ensures data integrity by rejecting data with an invalid or an empty parameter. This filter can be applied to both clicks, impressions and conversions, enhancing the accuracy of fraud detection in 24 Metrics AdSecurity platform.

Setting Up Parameter Check

Adding a New Parameter:

• Click on the ‘New Parameter’ button.
• Select the desired parameter (e.g., Advertiser, Publisher, Offer ID, Sub ID).
• Assign a status: Block or Valid.
• Optionally, enable the switch to reject empty values.
• Save the settings.

Custom Parameters:

• Select a custom parameter from the dropdown list.
• Define the status as Block or Valid.
• Specify a custom parameter key and value.
• Optionally, reject empty values.
• Save the configuration.

Multiple Rules:

Add multiple rules for different parameters or the same parameter with different values by clicking on the + NEW PARAMETER button.

Benefits of Parameter Check

• Enhanced Data Validation: By filtering out invalid or empty parameters, the integrity of the data is maintained.
• Customizable Rules: Users can define rules for various parameters, offering flexibility in fraud detection and ad spend optimization.
• Improved Fraud Detection: This feature helps in identifying and blocking fraudulent activities by ensuring only valid data is processed.

Conclusion

The Data Validation filter is a powerful tool in the arsenal of fraud detection strategies in 24 Metrics Ad Security Platform.

By configuring it properly, you can significantly reduce the risk of ad fraud and maintain higher data quality.