In-Ad Verification

Welcome to the World of In-Ad!

This page introduces the new dashboard and explains key reporting data to help you optimize campaigns. We’ll also showcase a mobilezone case study, where our technology reduced invalid traffic by over 50%. Finally, learn how we detect invalid traffic and differentiate between human and non-human interactions to ensure efficient ad spend.

Welcome to your fraud0 In-Ad-Dashboard

Visualization of the fraud0 In-Ad Dashboard

What Insights Can You Gain from the In-Ad Dashboard?

»The In-Ad Dashboard offers comprehensive metrics and visualizations to help you understand the performance of your ad campaigns across various dimensions. You can track ad impressions in different placements, identify invalid traffic, and measure viewable impressions. The dashboard allows filtering by line items, placement domains (web or app), countries, SSPs and displays how impressions fluctuate over time.«

fraud0 In-Ad Dashboard reporting overview

👁️ Track Viewability of your Ad Impressions

🔎 Filter your Data by Device: Web vs. App

🔬 Get deeper insights into your campaign by analyzing key elements like line item, placement, and SSP.

📥 Export Data for Exclusion and or Inclusion

🚩 MFA Symptoms

🚩 Pixel Stuffing

How Does the In-Ad-Dashboard Function?

The In-Ad Dashboard presents a summary and timeline of ad impressions, highlighting their validity and viewability across various dimensions.

A table titled “Ad Impressions by Line Items: Validity and Viewability” serves as a navigational guide.

To dive deeper, simply click on a line item you’re interested in. This action activates the “Apply Filter to Current View” feature, which tailors the dashboard’s display to only show information pertinent to the selected line item.

Key Metrics

Metric	Definition
Placement	A specific location or position where an advertisement is displayed on a digital platform, such as a banner at the top of a webpage or a video ad slot.
Insertion Order	A formal agreement between an advertiser and publisher or platform that details the terms for a specific advertising campaign, including budget, duration, and targeting.
SSP	A technology platform used by publishers to sell ad inventory programmatically, enabling them to manage and optimize the delivery of digital ads.
Country	The geographic location, based on IP or device data, where an impression or interaction occurs, often used for targeting and reporting.
Line Item	A component within an advertising campaign that specifies a subset of targeting, budget, and delivery criteria for a particular ad.
Date	The specific day or time period when impressions or ad activities are tracked for reporting purposes.
Impressions	The number of times an ad is displayed to users, regardless of whether it was clicked or viewed.
Impressions as % of All Impressions	The proportion of impressions for a specific dimension, for example placement, domain, or channel, relative to the total impressions.
Valid %	The percentage of impressions classified as valid by fraud0, indicating genuine human activity.
Invalid %	The percentage of ad impressions flagged as fraudulent or non-compliant, often due to bot activity, manipulation, or other non-human interactions.
Viewable %	The percentage of impressions that meet the industry-defined viewability standard, typically requiring a portion of the ad to be visible for a certain duration, for example 50% for 1 second.
Non-Viewable %	The percentage of impressions that do not meet the industry-defined viewability standard.
Pixel Stuffing	A fraudulent tactic where ads are loaded in a tiny, imperceptible pixel on a webpage, inflating impression counts without being viewable.
Ad Stacking	A fraudulent tactic where multiple ads are layered on top of each other in a single placement, but only the top ad is visible to the user.
Domain Spoofing	A form of ad fraud where fraudsters impersonate reputable websites or apps to deceive advertisers into paying for placements on fake or low-quality inventory.
Confirmed Bots	Impressions confirmed as originating from or being loaded by automated activity, flagged with high certainty based on non-human behavior patterns or inconsistencies.
MFA	Made-for-Advertising (MFA) refers to low-quality websites designed primarily to generate ad revenue, often characterized by high ad density and low user engagement.
Suspected Bots	Impressions flagged as likely originating from or being loaded by automated activity, identified based on suspicious behavior patterns or inconsistencies but without definitive confirmation.

Find out more

Getting Started with In-Ad Learn how to implement fraud0 In-Ad Verification across supported DSPs and ad platforms.

In-Ad FAQ Explore frequently asked questions about the In-Ad Dashboard, invalid traffic, viewability, and ad quality concepts.

How In-Ad Technology Works: A Case Study Example

How Mobilezone Reduced Invalid Traffic on a Programmatic Channel by Over 50% in Two Weeks

2 weeks

for noticeable improvement

27% IVT

before optimization

13% IVT

after optimization

Executive Summary

mobilezone, a leading telecommunications provider, worked with fraud0 to reduce invalid traffic in their display campaigns. Implementing fraud0’s technology across a programmatic channel reduced invalid traffic by 52% — from 27% down to 13% in just two weeks. The ongoing optimization aims to reduce invalid traffic to below 5%.

»fraud0 allowed us to see wasted ad spend and redirect funds towards human engagements. So simple.«

Leif Schlüter, Performance Marketing Manager

The Challenge

High levels of invalid traffic (IVT) in display campaigns

mobilezone faced challenges with high IVT rates, impacting their budget and diluting campaign effectiveness. The need to differentiate between human and bot traffic was crucial for optimizing ad spend and improving campaign outcomes.

The Issue

27% invalid traffic across display campaigns

In the initial stage, mobilezone aimed to gain deeper insights into their website traffic to improve their overall digital strategy. To accomplish this, they implemented the fraud0 tag, which required only a single line of code for seamless integration. This tag was deployed on their two primary websites, DeinHandy and Sparhandy. By doing so, mobilezone aimed to collect detailed data on user interactions, identify potential sources of invalid traffic, and enhance their ability to optimize their online presence.

Initial assessments revealed that a significant portion of traffic consisted of non-human interactions, jeopardizing budget efficiency and campaign accuracy. Specifically, 27% of mobilezone’s traffic on a programmatic channel was found to be invalid throughout the campaigns.

The Solution

Block low-quality domains & apps

To fight invalid traffic, mobilezone launched the second stage by implementing fraud0’s in-ad tag, which provides detailed insights into ad delivery, viewability, and fraud techniques like ad stacking or pixel stuffing.

fraud0’s in-ad tag identified high invalid traffic rates:

Specific campaigns had up to 76.51% invalid interactions in app environments.
Many high-risk domains and apps had over 95% invalid traffic.

Understanding the extent of invalid traffic, mobilezone, in collaboration with fraud0, began refining their targeting and excluding low-quality domains and apps. Gradual adjustments led to improved allocation of the advertising budget. Invalid traffic significantly decreased, and the refined strategy resulted in a 52% reduction in wasted ad spend.

It is now crucial to continue monitoring ad placements to ensure ongoing optimization. This will help further reduce the invalid traffic rate and maintain it at a low level, saving valuable ad budget.

Next Steps

For comprehensive information on In-Ad, please explore our implementation guides or visit the In-Ad FAQ section.

Getting Started with In-Ad Explore implementation guides for supported DSPs and ad platforms.

In-Ad FAQ Find answers to common questions about In-Ad Verification.

Need support?

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

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