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Q&A With Mikhail Biteryakov, Traffic Analyst at Joom: The Recipe to Optimize User Acquisition

Every great recipe is made up of detailed ingredients, and Mikhail Biteryakov - traffic analyst at Joom - shares his unique formula to optimize user acquisition

Scalarr and the Future of Fraud Detection: Q&A with Scalarr Founders Inna Ushakova and Yuriy Yashunin

The road to Scalarr's foundation was paved with challenges and opportunities and in this in-depth conversation, you'll learn the story of Scalarr first-hand from the company's founders.

Scalarr and mParticle cooperate to provide accurate fraud detection

Clients using Scalarr and mParticle can enrich existing data with valuable data points from first-, second-, and third-party sources, further increasing the accuracy and completeness...

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The issue with rules is that they tend to be outdated very quickly.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...
Reverse engineering as one of the most advanced tools of fraudsters
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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 rul...

Reverse engineering as one of the most advanced tools of fraudsters

With a huge potential profit and significant marginality at the same time, fraudsters are not hesitating to invent and employ various tools and cha...

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