01 Onsite Product

Welcome to our Onsite Product!

This section will help you understand the Onsite 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. At the end of this article, you’ll find all the links you need to get Onsite setup up and running.

Welcome to your fraud0 Dashboard

»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

Find out where your Invalid Traffic is coming from

Observe different Invalid Traffic Types over time

See all the different Invalid Traffic Types

Scan the Traffic Quality of your Marketing Channels

🤖 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.

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.
Bot Sessions	The total number of sessions identified as bot traffic within the selected time period.
Valid Sessions	The total number of sessions not identified as invalid (= human) traffic within the selected time period.
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.
Suspicious	Sessions with a bot score between 0–1, showing some bot-like behavior but not enough to confirm bot.
Conversion	Valid sessions marked as converted by the fraud0 conversion tag.
Invalid Suspicious Sessions	Sessions lacking a full bot scan or falling below the bot confirmation threshold – often accidental clicks or quick bounces.
Invalid Bot Sessions	Sessions that underwent a full bot scan and triggered enough checks to be classified as bots.

Evidence Page

The evidence page consists of two parts: the Analysis and the Blocking Activity Tab.

1) Analysis Tab

Bot IPs per Channel

Here we provide an overview of all the IP addresses identified as bot traffic within the selected time range. This table enables deeper analysis of malicious traffic and supports more accurate ad traffic filtering and optimization.

Each row includes the following details:

IP Address: The specific IP identified as a source of bot traffic.
Last Visit: The most recent date this IP was active on your tracked channels.
Country: The geographic origin of the IP address.
Visited Channels: Advertising platforms or sources where the bot activity was detected (e.g., Google Ads, Facebook, etc.).
Reasons: The criteria or signals that led to the IP being flagged as a bot (e.g., known bot patterns, behavioral anomalies, high-frequency requests).
Invalid Sessions Count: The number of sessions generated by this IP that were classified as invalid or bot-driven.

2) Blocking Activity

The Blocking Activity Tab provides an overview of bot-related ad performance across key areas:

IP Blocking Reallocation: Estimated savings from blocking returning bots (Google Ads).
Wasted Ad Spend: Cost from undetected bot traffic across all channels.
Traffic by Channel: Bot activity breakdown for Google Ads, Facebook, Microsoft Ads, and Criteo

IP Blocking

This component offers detailed insights into IP blocking of bots affecting your Google Ads campaigns. It features a historical chart that tracks patterns of returning bot activity over time. The accompanying table presents estimated cost savings resulting from automated IP blocking performed by the underlying service. These savings are based on statistical analysis and represent approximate budget reallocations achieved by preventing wasted ad spend on bots.

Negative Audience

This component visualizes bot-related ad traffic across four major advertising platforms: Google Ads, Facebook, Microsoft Ads, and Criteo. It displays a comparative chart and data table showing estimated Wasted Ad Spend—the budget consumed by bot traffic that evaded detection and filtering mechanisms. A lower Wasted Ad Spend value indicates more effective bot mitigation and better ad performance efficiency.

Next Steps

Ready to unleash the power of fraud0? Say hello to the world of Onsite!

Start here with everything you need to set up the Onsite Product and connect it seamlessly with your ad systems. Follow these simple steps to get up and running, ensuring your protection is in place from day one.