AdMaster Establishes Alliance with Tencent MIG to Fight Against Fraud in Mobile Marketing

BEIJING, May 22, 2017 /PRNewswire/ -- AdMaster, the leading marketing data technology company, jointly with Tencent MIG (Mobile Internet Group), announced a strategic alliance on fighting against fraudulent traffic in mobile marketing by establishing "The Anti Ad-Fraud Big Data Lab". The Lab aims to upgrade the capability to identify and diagnose the invalid traffic and fraudulent ads along the evaluation process for mobile advertising. The vision of both parties is to help build a healthy ecosystem for the digital marketing industry.

As a leading marketing data technology company, AdMaster's advertising measurement covers more than 95% of China's mobile devices, and thus developed a wide range of technologies and accumulated vast experience in the area of anti-fraud. Over the years, AdMaster has invested heavily to protect marketers in the interest of best advertising effectiveness. We innovated different anti-fraud technologies such as BlueAir (traffic filtering module in TrackMaster), VOA (verification of advertising for content-targeting buy) and SNAP (ad verification and screen capture tool) to tackle fraudulent situations comprehensively from a holistic angle and multiple diagnosis levels.

"Beacon" is managed by Tencent MIG. It covers 900 million monthly active devices with a massive library of accurate IP addresses in China including a full range of cellphone models. Leveraged on its significant strength in data analytics, together with modeling power in both client and cloud-end, as well as filtering & validation across multiple business groups within the company, Tencent Beacon provides accurate identification and analytics over all device ID's it covers and the corresponding consumer behavioral path.

In this alliance, with Tencent Beacon's anti-fraud capability on ID recognition and behavioral data, it further enhanced the accuracy of AdMaster BlueAir in identifying traffic quality and singling out the invalid traffic.

Zeng Yu, Vice President of Tencent, said, "Tencent Beacon has profound experience in combating fraud with advanced technology. Supported by its 900 million active user database and a library of hundred of billions of blacklisted devices, Tencent's anti-fraud solution is empowered by its strong capabilities in device feature recognition, multi-dimension features, combination of models and having passed through multiple product validations.  We are here to provide public services for the industry by purifying the digital advertising environment. Tencent Beacon will bring tangible solutions that will contribute to the healthy development of the Internet industry.

"Invalid traffic has always been the pain point of the advertising industry", Tenly Wu, Chief Product Officer of AdMaster in the conference reiterated, "this strategic alliance of AdMaster with Tencent MIG together with the establishment of "The Anti Ad-Fraud Big Data Lab", will provide the best platform for both of us to create the largest value for advertisers by leveraging our best technological know-how and experience."

In the future, the two companies will jointly develop more anti-fraud models and products, cover more application scenarios, in particular in the pre-bid phase of advertising placement. Both AdMaster and Tencent MIG are committed to providing more accountable public services for the industry by offering solid solutions to combat ad fraud and hence create a sustainable marketing environment for the Internet industry.

About AdMaster:

AdMaster is an independent marketing data technology company that uses big data to help brands measure the effectiveness of their digital marketing investment. We create value for brands by centralizing digital marketing data from multiple sources and turning it into actionable data delivered through our software-as-a-service platform. We offer solutions for third-party digital advertising verification, cross-screen reach analysis, social media monitoring, e-commerce measurement and data management – including data obtained from computers, mobile devices and digital TV.

For more information, please visit: www.admaster.com.cn

SOURCE AdMaster