Enterprise Weibo marketing needs to be independently deployed micro-blogging system

There is no doubt that Weibo has become a popular application, regardless of whether the company is willing, Weibo is a http://www.aliyun.com/zixun/aggregation/36285.html "> Marketing channel, at least a marketing channel." Weibo marketing has actually experienced only a half year of time from edge attempts to normal applications. Many companies and their agents have been operating on micro-blogging platforms for commercialization of micro-blogging accounts. However, almost all micro-blogging marketing operations are focused on the aggregation of microblogging users, or rely on Star users, feature applications to promote the spread of information fission. This kind of marketing means can quickly see "marketing effect", fans increased, forwarding more, commented more, the number of applications to participate in more, was increased by the search, the number of active participation and so on, but all ignore a problem, these users where the precipitation? Can you continue interacting with users?

Microblogging marketing, although hot, but still in the exploratory stage. An evaluation of a microblogging marketing effect is a very tricky issue. Quantitative visualization is easy to get, such as how much marketing input has captured the attention of users, how many forwards, how many comments, how many users have touched the information, can have a relatively accurate quantitative judgment. But there is no way to quantify the value of these indicators, to get a fan of the value of how much? Is the value of the fans gained through own account marketing consistent with that of relying on Weibo star accounts? Are the values of the fans that are derived through incentives consistent with the natural growth of the fans, and if so, how do they determine their value? At the same time, there are inevitably a lot of human intervention in micro-blog marketing caused by false prosperity. Therefore, the existing micro-BO Marketing KPI indicators can not accurately express the effectiveness of micro-bo marketing. The underlying reason is that there is no case data that can be referenced to form a standard.

Fractional deployment of micro-blogging system can effectively solve this problem, a company can control the micro-blogging system is not only to improve the controllability, it is more important to be able to present the performance of each stage of enterprise Weibo marketing in the way of time axis, and extract the specific value of each marketing action and user, thus forming a "person" dialogue.

Weibo users are actually relationship users, the vast majority of users because of the existence of others, each user in the micro-blog has different demands, but the establishment of social relations is common, the establishment of this relationship, in addition to the existing relationship between the translation, mainly through the micro-bonnet dialogue to achieve. Meaningless content can not promote the establishment of relations, only through dialogue, meaningful content to achieve the establishment of bilateral relations. The enterprise-independent microblogging system, which can precipitate all the conversation data within its own server, can be identified by preliminary screening for those who can respond by technical means, which require human intervention. Distill all the users who implement human intervention, form dialogues, and remit to the high value user pool, and so on. Different types of users in different value classification in the enterprise end precipitation, management. Realize the transformation of a user from a virtual code to a real person.

Microblogging marketing in the long run must rely on technology products, creativity and humanistic care of the three forces. The nature of Weibo's social networking platform determines that microblogging marketing cannot be a single means of pandering to all potential users. The fragmentation of content expression and user behavior in the microblogging platform requires strong technology to do the first layer of filtering, and gradually enhance the value of each marketing tool. However, no matter what marketing means to ensure that the user retention, historical visibility, data mining will be more efficient to improve marketing efficiency (Shenlu Administration/text).