Game Industry | Big Data of Operators Breaks Traffic Dilemma
With the development of social network and information technology, the scale of the game market has expanded unprecedentedly. In recent years, a variety of game IPs have sprung up, and a large number of game users in the industry have also brought strong economic benefits to the market. When we look at the game from the perspective of The industry itself is the main factor for its rapid development. It is not difficult to find that big data has an advantageous role in game operations, especially in expanding product influence.
User portraits in the game industry
What kind of data is valuable? What can the gaming industry do with big data? How to effectively use big data? What changes does big data bring to the game industry?
These questions have received tens of thousands of answers in today's Internet age, and among these answers, there is a common characteristic, user portraits.
Based on the use of game apps, platforms, etc., how to obtain the user portraits of players, their characteristics, and predict some of their future behaviors, and use them to serve our operations, and firmly grasp the user portraits. In fact, it is One of the outstanding advantages of big data technology is to screen massive amounts of information and accurately locate customers.
Due to the many types of popular games on the market and the large number of players participating in game activities, it is inevitable to encounter many difficulties in the process of finding effective customers and accurately capturing traffic. These difficulties not only include the complexity of user screening, positioning Process factors such as inaccuracy of customers and low customer retention rate also include positioning factors related to the game industry itself, that is, what kind of customers are it aimed at?
However, as big data is a tool or even a means, it is not enough to simply find customers. Only by convincing customers can effective traffic be formed.
Traffic advantages of big data customer acquisition model
It is difficult to obtain traffic, which is true for the game industry and many other industries. In a limited market, striving for resources and winning customers has always been the focus of every industry. With the continuous development of network information technology and online customer acquisition channels, the big data of operators has been tested by the market. After years of exploration, a complete and systematic flow customer acquisition system has been formed. And many other aspects, has significant advantages.
Relying on the operator's massive database and powerful data processing capabilities, through in-depth data mining and in-depth industry research, we can establish accurate user portraits for various corporate customers, achieve efficient and accurate access, and reduce customer acquisition costs. Generally speaking, it can model keywords such as targets, webpages, text messages, and apps, and capture user data in real time. At the same time, it can filter age, gender, region, and user online behavior to accurately locate target customer groups. There are generally the following types of crawling methods for big data technology:
运营商大数据获客方式
有关公司可特定URL：
即时爬取浏览有关URL，网页页面的终端产品用户及访问者；
有关公司特定的APP：
即时获得浏览过有关APP的终端产品用户，申请注册用户。
有关公司特定的400/固定电话：
即时提取拨通过有关400/固定电话的终端产品用户，进出呼出通讯记录。
有关公司特定短消息号：
即时截留接受过有关短消息号的终端产品用户群体。
获客的渠道多种多样，选择投产比最优解的方式才是企业获客之道。运营商大数据模式，以优异的主动获客形式拉低成本，提升用户画像的真实性，真正为企业做到低成本、高效益。
大数据时代，无论是游戏行业，还是其他行业，借大数据的先天优势去创造流量，乃是上上之策。