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01 Basic Introduction

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Get to know fraud0

This section will help you understand your dashboard, the reporting data and what it means. We also want to give you an idea of how you can interact with this reporting data. Finally, let’s review how we detect invalid traffic and how we distinguish between different traffic types.

Welcome to your fraud0 Dashboard

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Visualization fraud0 Dashboard - Status March 2024

»The fraud0 Dashboard offers a comprehensive overview of invalid traffic types and their impact. The dashboard's intuitive charts and graphs make it easy to identify discrepancies and suspicious activities. With detailed breakdowns by channel, users can pinpoint problem areas and optimize their strategies. Stay informed and ahead of potential threats with this powerful visualization tool.«

Filter the Channels you are interested in

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Find out where your Invalid Traffic is coming from

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Observe different Invalid Traffic Types over time

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See all the different Invalid Traffic Types

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Scan the Traffic Quality of your Marketing Channels

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How we detect Invalid Traffic

To detect invalid traffic, we employ advanced algorithms and machine learning to analyze data discrepancies, behavioral anomalies, and traffic patterns. For more details, see our Onsite FAQs.

How we distinguish different Traffic Types across Marketing Channels

To differentiate traffic by validity and engagement, we employ advanced analytics and behavioral analysis, including:

🤖 Validity Assessment

What's Validity Assessment?

Identifying valid vs. invalid traffic (e.g., bots) using IP analysis, user agent examination, and behavior patterns.

🧠 Engagement Evaluation

What's Engagement Evaluation?

Analyzing interactions with your content  through metrics like session duration and page views, distinguishing natural user patterns from uniform bot activity.

Documentation for Reporting Data

The following data is available in the fraud0 on-site traffic reports. All of these fields are available on a session basis. Each field can be used for filtering, therefore restricting the traffic to a subset of the total data. These fields can also be used as a dimension, enabling a comparison between different traffic subsets.

Key Metrics

Metric

Definition

Total Sessions

The total number of sessions measured within the selected time period.

Invalid Sessions

The total number of sessions identified as invalid traffic within the selected time period including bot and suspicious traffic.

Valid Sessions

The total number of sessions not identified as invalid (= human) traffic within the selected time period.

Bots

The total number of sessions identified as bot traffic within the selected time period.

Suspicious

The total number of sessions identified as suspicious traffic within the selected time period.

Conversion

Valid sessions marked as converted by the fraud0 conversion tag.

Engaged Sessions

Valid sessions lasting over 10 seconds or with 2+ page views.

Non-engaged Sessions

Valid sessions under 10 seconds and with fewer than 2 page views.

Invalid Suspicious Sessions

Sessions without a full bot scan, typically accidental clicks, or quick bounces.

Invalid Bot Sessions

Sessions detected as bot.

Need support?

Do you still have questions or require further details? Contact our support team for assistance!

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