Articles

Our articles reflect the latest developments in the field of mobile ad fraud detection. Browse this section to get useful and up-to-date insights into the state of anti-fraud technology.

Latest Trends in Mobile Ad Fraud 2019

How Does Mobile Ad Fraud Impact Your ROI?

The hidden costs of mobile ad fraud impact can be multiple times higher than direct losses shown in the report of your anti-fraud solution

Can Relying on a Rules-Based Fraud Protection Tool Ruin Your Business? Lessons From Real Customer Data

Blocking potentially fraudulent traffic by a set of rules has long been the standard practice in the advertising industry. But is following the rules the best idea when it comes to f...

The anatomy of mobile ad fraud: Intelligent Device Farms

Intelligent Device Farms are one of the newest and smartest fraud types in the industry that goes undetected for a long time

The anatomy of mobile ad fraud: Mixed Fraud

In 2019 the level of fraudsters’ sophistication increased dramatically: they have learned to blend together different techniques and manipulate the system by imitating real user beha...

The anatomy of mobile ad fraud: Soft Fraud

Soft Fraud comes out of publishers that are dragging a part of the advertiser's organic traffic to themselves, manipulating display / click attribution models

True Machine Learning is the Strongest Weapon to Fight App Install Ad Fraud - A Fireside Chat with Draftkings. MAU 2019

Don’t let fraud dictate your user acquisition strategy. Learn why a manual, rules-based approach to fraud detection pales in comparison to an advanced machine learning based approach
The issue with rules is that they tend to be outdated very quickly. Fraudsters are able to reverse-engineer them very quickly and you are not protected let alone from any sophisticat...

Highlights from MAU Vegas 2019 collected for you by Scalarr

The MAU conference has grown into one of the most important mobile events in the world and should be on the calendar of all mobile-focused marketers

The anatomy of mobile ad fraud: Smart Bots

Smart Bots can fully emulate user behavior with high accuracy by performing in-app activities for up to 30 days after install
Why Trusted Traffic Sources May No Longer Be Trustworthy

The anatomy of mobile ad fraud: Modified Click Spam

Anti-fraud detection of abnormal TTI has forced fraudsters to adjust. Now they attempt to “cut off the long tail” of TTI over several days, making Click Spam more complicated to detect

MAU 2019 - Rock on mobile growth!

Stop fraud - Take control!

The anatomy of mobile ad fraud: Incentive

Incentive Fraud happens when real users are motivated to install an app/game in return for receiving some form of reward
Reverse engineering as one of the most advanced tools of fraudsters

The anatomy of mobile ad fraud: Device Farms

Most anti-fraud solutions show too much information publicly and are easily reverse-engineered by fraudsters so they can emulate real users. Their Device Farms can fake post-install ...

The anatomy of mobile ad fraud: Bots

Significant anomalies in post-install activity may indicate bot-fraud, but not all such anomalies are clear cases of fraud

Real-time app install ad fraud prevention: is it working?

The phrase “real-time” is widely used in the mobile ads' ecosystem. But in the app install ad fraud sphere, the phrase “real-time prevention” is just a fancy word without much meanin...

The anatomy of mobile ad fraud: Click Injection

In most cases, Click Injection is the work of large fraud groups producing real mobile apps with embedded malware viruses, through which infection occurs

The anatomy of mobile ad fraud: Click Spam

Stay ahead of fraudsters by understanding the anatomy of classic Click Spam

What are the “Mixes” and how to identify this type of app install fraud

The general principle of “mixes” grounds on the conscious use of several various types of fraud to get over the known protection measures of fraud detection tools

The realities of the traffic purchase market

The mobile ad spending is huge and account for 62.5% of the total cost of digital advertising. Find out how to spend your budget on real users and not give it to fraudsters
Scalarr 2018 Stevie Awards

Interview with Inna Ushakova, Co-Founder & CEO, Scalarr

You set the ambitious goals just because you cannot be successful in other ways and you hire the best team to help you with that

Learn how machine learning can help mobile app developers to stop app install ad fraud

Fraud is an adaptive crime, so it needs special methods of intelligent data analysis to detect and prevent it

The one thing that moves user acquisition the wrong way

Mobile app install fraud was a hot topic one year ago and still is the same, being that thing that moves user acquisition the wrong way

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