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Tokyo-Based Phybbit, Ltd. Releases 2020 Ad Fraud Survey Report for Japan

Analysis Reveals Slight Decrease in Online Ad Fraud Between First Half and Second Half of 2019 - Believed to Be Attributed to Phybbit's 'Shared Blacklist,' an Industry-Wide Consolidated Database of Scam Affiliates

TOKYO - February 5, 2020 - (Newswire.com)

​​​​​Tokyo-based Phybbit, Ltd., developer of SpiderAF anti-advertising fraud software, has released its annual “2020 Ad Fraud Survey Report” covering Japan. The company analyzed over 924 billion impressions, 66 billion clicks and 115 million conversions to create the industry’s most comprehensive snapshot of online advertising fraud. 

According to Phybbit’s analysis of the Japanese market, out of 20 million mobile installs in the six months between July and December 2019, 3.3 million installs, or approximately 16.7%, were found to be fraudulent. At a rate of $5 USD per install, the resulting damage would be $16.5 million during this six-month period. In the previous analysis (January to June 2019), the percentage of ad fraud cases has slightly decreased. This decrease can be attributed to the implementation of Phybbit’s Shared Blacklist (SBL), a unique industry-wide consolidated database of scammers identified by Phybbit’s powerful SpiderAF algorithm. The SBL is shared with all ad networks in Japan to create a unified front against advertising cheats.

“According to our findings in this 2019 analysis, it is becoming clear that ad fraud methods are getting more sophisticated every year,” said Phybbit, Ltd., CEO Satoko Ohtsuki. “Particularly with ad fraud used in app advertising, their methods can change over fast cycles. Algorithms that were effective six months ago quickly become outdated and useless. In order to detect it, it’s necessary to analyze the data from multiple angles.”     

Methods used by ad fraudsters include Click Flooding, Install Hijacking, Invalid Traffic and Click Farms. SpiderAF detects ad fraud by analyzing data logs for impressions, clicks, and conversions. Each action is analyzed for signs of ad fraud and an overall ad fraud score is calculated using AI.  

For more details on the findings, download here

About SpiderAF

SpiderAF is an AI-equipped ad fraud tool specialized in automation and data visualization. Along with businesses involved with ad networks, SpiderAF aims to be a tool applicable to a wide variety of users from agencies to advertisers. The goal of the SpiderAF SHARED BLACKLIST is to build a safer digital advertising industry.

About Phybbit, Ltd.

Phybbit is the developer and provider of the automated, AI-driven fraud prevention tool SpiderAF. Phybbit’s team of data scientists is working to help fight the ever-evolving issue of ad fraud. Founded on the belief that the happiness of each team member must be realized to fully support the company, Phybbit is committed to creating a "work-life integration" corporate environment that allows people to live their lives in their own way by promoting more flexible work lifestyles.




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Original Source: Tokyo-Based Phybbit, Ltd. Releases 2020 Ad Fraud Survey Report for Japan
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