“Bots can affect all apps in a number of ways,” said Adjust Co-Founder and CTO Paul Müller. “They can attack gaming apps’ communities or ruin their virtual currency economy, steal credit card data or scalp limited edition items from e-commerce businesses, and spam users on dating apps.”
The customizable Unbotify platform gathers behavioral data and uses machine learning to separate the real humans from the bots by analyzing the way that legitimate users navigate an app. Doing so improves the quality of the data produced by the app and reduces the scope of fraud that can cost an app developer as much as 10 percent of its total revenue.
“In-app bot fraud isn’t just a monetary issue – it has knock-on effects on user experience, retention, in-app analytics, and breaches that compromise users’ data and scar a brand’s reputation,” explained Unbotify Co-Founder and CEO Yaron Oliker.
Unbotify’s in-app tech can be used alone or in conjunction with Adjust’s Fraud Prevention Suite, which targets ad fraud rather than in-app bots. Adjust acquired Unbotify back in January in an effort to expand its anti-fraud capabilities, highlighting the growing (and related) markets for anti-fraud solutions and behavioral biometrics.
April 18, 2019 – by Eric Weiss