Statistics

  • To get started with the Statistics module, apply filters to display data relevant to your traffic analysis.

    Filters:
    1. Select the Domain from the dropdown list.
    2. Set the Activity range to define the time period.
    3. Optionally enter a value for Min. Total clicks.
    4. Choose the Sort order (drag to prioritize UTM parameters or other fields).
    5. Check “Show conversions only” to display conversion-related traffic only.
    6. Set Min. Fraud probability — filter out low-risk clicks.
    7. Set Min. Suspicious probability — highlight potentially risky activity.

    Once configured, click “Filter” to apply settings or “Save order” to reuse this configuration later.

    Chart:

    This section visualizes data based on the filters you apply. It helps assess traffic quality and behavior at a glance:

    • Good clicks — legitimate, high-quality traffic (green)
    • Suspicious clicks — questionable interactions (orange)
    • Fraud clicks — flagged as fraudulent (red)
    • Conversion rate — visual metric showing effectiveness (blue)

    The chart supports drill-down navigation and can be collapsed for convenience.

    Main Table:

    The data table shows detailed results processed by AI models for fraud detection and traffic scoring.

    Each row is clickable, giving you access to a breakdown of the source’s performance and risks.

    Main displayed parameters:
    • utm_source — traffic source (e.g., Google, Facebook, etc.)
    • Total clicks — total number of interactions/clicks
    • Conversions — completed user actions (e.g., purchases, signups)
    • CR (Conversion Rate) — percentage of conversions per total clicks
    • Traffic quality — scoring based on AI assessment (V2 General or Custom V1)
    • Fraud, Suspicious, and Good clicks — traffic distribution across categories

    The table includes sorting options, rows-per-page configuration, and full drill-down capabilities.

    Use this data to make informed decisions such as pausing campaigns, blocking sources, or updating whitelists.

  • To start analyzing your Google Ads traffic in the Statistics module, apply filters to focus on the data most relevant to your goals.

    Filters:
    1. Select a Domain from the dropdown list.
    2. Set the Activity range to define the time period for analysis.
    3. Optionally enter Min. Total clicks to filter out low-volume sources.
    4. Use Sort order to prioritize fields such as UTM parameters or platform data.
    5. Enable “Show conversions only” if you want to display only traffic that resulted in conversions.
    6. Adjust Min. Fraud probability to exclude traffic with low fraud likelihood.
    7. Adjust Min. Suspicious probability to focus on potentially risky traffic.

    After setting your preferences, click “Filter” to apply or “Save order” to store the configuration for future use.

    Chart:

    This chart provides a visual overview of traffic quality and conversions based on your selected filters.

    • Good clicks — legitimate, high-quality traffic (green)
    • Suspicious clicks — potentially irregular or doubtful traffic (orange)
    • Fraud clicks — traffic marked as fraudulent by the AI model (red)
    • Conversion rate — displays conversion performance (blue)

    The chart can be collapsed or expanded for a clearer workspace.

    Main Table:

    The main table displays detailed analytical data processed by AI models for fraud detection and traffic scoring.

    Each row represents a traffic source and can be clicked to open deeper insights about its performance and risk distribution.

    Displayed parameters include:
    • utm_source — traffic source (e.g., Google, Facebook, etc.)
    • Total clicks — total number of user interactions
    • Conversions — completed user actions (such as purchases or signups)
    • CR (Conversion Rate) — percentage of conversions relative to total clicks
    • Traffic quality — AI evaluation score (V2 General or Custom V1)
    • Fraud, Suspicious, and Good clicks — breakdown of traffic categories

    Use this data to take action — pause or optimize campaigns, block fraudulent sources, or adjust your whitelists for better performance.