Integrating click-tracking

Click-fraud Detection Methodology

Pixalate measures the impression and clicks activity of the user. Signals from both of those sources are combined and analyzed to calculate impression-related fraud types that can be applied to clicks as well. We likewise use the same signals to determine evidence of click-specific fraud types.

Click-specific Fraud Types by Category

Suspicious Users

• Click Farm
  • An impression originating from a user who has been flagged as being associated with human click farm activity. Aligns with Incentivized manipulation of measurements (fraudulent incentivized promotion of an entity, without its knowledge or permission – excludes cases where the entity paying for the incentive is the entity being promoted)
• Display Click Fraud
  • Clicks that are generated from the same browser or device at a statistically significant inflated rate. Aligns with Sophisticated Activity-Based Detection or Analyses - Outlier Identification
• Video Click Fraud
  • Video ad clicks that are generated from the same browser or device at a statistically significant inflated rate. Aligns with Sophisticated Activity-Based Detection or Analyses - Outlier Identification.
• Fast Clicker
  • Activity originating from users which generate clicks less than one second apart from their respective impression. 
  • Fast Clicker Align with:
    ○ Activity-Based - Repeat Transactions
    ○ Activity-Based - Transaction Protocol Verification
    ○ Activity-Based (Click Specific) - Repeat-click-refractory-period (RCRP)
    ○ Activity-Based - Outlier

Suspicious Ads

• Duplicate Clicks 
  • High volumes of duplicate clicks may indicate an integration issue.
  • Duplicate Clicks Align with:
    ○ Activity-Based - Repeat Transactions
    ○ Activity-Based - Transaction Protocol Verification
    ○ Activity-Based (Click Specific) - Repeat-click-refractory-period (RCRP)
    ○ Activity-Based - Outlier

Suspicious Publishers

• High CTR Traffic
  • Traffic associated with domains or apps demonstrating high-risk CTR behavior. Aligns with Sophisticated
    Activity-Based Detection or Analyses - Outlier Identification

Click Tag Set-up

1. Pixalate will supply an additional Analytics tag (1x1) with macros that pertain to click fraud

2. Implementation can be done as a click redirect tag or click tracker
3. Analytics data will populate with additional information from the click tag
4. Clicks will be counted as events, along with impressions

Analytics Reporting for Click Fraud