Fraud 101

In order to be successful, please ensure you've read through the pre-requisite slides on LeHub > Training > Fraud > Module 2.

Some questions have more than one correct answer.

Good luck!

Clo

In order to be successful, please ensure you've read through the pre-requisite slides on LeHub > Training > Fraud > Module 2.

Some questions have more than one correct answer.

Good luck!

Clo

According to eMarketer....

... over $2 billion will be lost due to ad fraud in 2017

... over $5 billion will be lost due to ad fraud in 2017

... over $8 billion will be lost due to ad fraud in 2017

Forensiq fraud detection capabilities leverage:

Machine learning

Javascript based browser analysis

Historical reputation data

When buying media on a CPM model, which of the following is/are NOT common fraud type(s)?

Incentivization

Mobile hijacking

Inaudability

Below the fold ads

Which of the following is the correct definition of Proxy Unmasking solution?

Leverage JS to uncover the underlying end-user IP when a fraudster is masking IP through an anonymous proxy.

Identify malicious botnet activity flagged on the user level through real-time traffic pattern analysis.

Analyzing client-side signals to identify when a user's device and browser were manipulated to resemble a different device or browser.

Some of the business impact of fraud when buying on CPC can be:

Skewed CTR

Wrongly priced clicks

Wrongly priced installs

Mobile attribution fraud is when the attribution is stolen (ie. Installs that the publisher had no participation in driving). Example:

Another affiliate should have been credited

Both

The install was actually organic

Which of the following statements are true. Forensiq can make sense when....

The prospect monthly advertising spend is below $10k a month

The prospect monthly advertising spend is above $30k a month

The prospect handles an average of 200-500M impressions or above

The prospect handles an average of 1Bn bids/month or above

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