TalkingData (Beijing TengYunWorld Technology Co., Ltd.) was founded in September 2011, is China's largest independent third-party mobile data service platform. 2013 to complete the ten million U.S. dollars of A round of financing (led by Northern Lights), 2014 to complete the tens of millions of U.S. dollars of B round of financing (led by Softbank, MileStone). MileStone), headquartered in Beijing, with a branch office in Shanghai and offices in Silicon Valley and Tokyo. After nearly 4 years of rapid development, TalkingData has formed a data ecosystem centered on developer service platform, data service platform, and data commercialization platform, covering more than 2 billion independent smart devices, serving 100,000 mobile apps and more than 80,000 application developers.? [1]?
Customers include well-known Internet companies such as Tencent, Baidu, NetEase, Sohu, 360, Google, Yahoo, Zynga, BaoKai, and DDT, as well as traditional industry giants such as China UnionPay, China Merchants Bank, CITIC Bank, Ping An Insurance, Guoxin Securities, Orchirly, Beyoncé, Henderson, and Citywide, etc. We're utilizing the mobile Internet's data value and gradually change the future of traditional industries.
Talkingdata's data sources are mainly from several channels:
In-app data from apps that use td's data analytics inside the sdk, as well as in-machine data that apps have access to
Data from partner merchants in business collaborations (e.g., China Merchants Bank's model). It is said that td and third-party cooperation conditions in addition to money, but also to take the data, such as transaction water
Paying money from other third-party data companies
Buying from some companies with huge data volume, such as operators
Other channels.
TalkingData Game Analytics, on the other hand, is a rare product on the market designed to help gaming companies that lack the ability to interpret data to analyze it bypassing the clutter of data and stats pages. It is characterized by its close integration with the game's own business system and accounts, and utilizes a set of methodologies to turn data into quantifiable value to be presented.
As for TalkingData Insight, it is a comprehensive data solution with flexible configuration. This system covers a variety of services such as data statistics, machine learning engine, simulation system, intelligent recommendation engine and so on.
TalkingData Insight is not like other statistical analysis services that provide a complete set of solutions such as log collection, data management, computing, report output, etc., but is more like a collection of a variety of computing modules of the computing engine.TalkingData's product leader Yan Hui told me, TalkingData Insight There are two common usage scenarios:
Many medium and large enterprises have log systems that collect a lot of data, but they lack the ability to analyze the data. They will import these logs into TalkingData Insight for computing and use the analysis results to optimize their products.
The second type of application of TalkingData Insight is to set up some models and utilize the corresponding modules to simulate the results for the reference of product design without the accumulation of data. For example, they have cooperated with a domestic first-tier game company to simulate and calculate the models of the economic system, battle system and advertising system in the game based on the data designed by the game plan.
The above three products are all independently operated programs of TalkingData. TalkingData Campaign, on the other hand, is a product of their cooperation with the third-party ad monitoring platform, Spike System. They work together to help clients evaluate the effectiveness of advertising, channel placement and other promotional methods, such as conversion rates, etc. TalkingData is mainly responsible for the wireless business, while the Spike system's service targets are more of those brand advertisers. In addition, TalkingData Campaign also provides two modes - SDK-free tracking based on device fingerprinting technology, and tracking SDK with higher accuracy, with the former deployed faster and the latter more accurate.