Marketing big data, I personally believe that the need to put a product or service through the corresponding scene recommended to the user, to solve their request and i-point, to do scene marketing, not only to promote, but also need to attract users to know in which time, which location to do scene marketing is the most effective. That is to say, the breakthrough network open source from the beginning of the scene marketing, to find the relevant user gathering place, so as to achieve twice the result with half the effort. The fastest way to break through the bottleneck.

1. clear positioning

In the search for relevant user groups before the gathering place, there should be a clear positioning, if there is no clear positioning, this search is undoubtedly a needle in a haystack, for example, you are doing customized tourism, hands with some unique tourism resources, your characteristics are to provide customized tourism services, then your user group positioning is to like to travel, like adventure, like fresh and exciting tourism users. Like fresh and exciting travel users.

2. In the social media to find relevant user groups

Now the most popular social media, including QQ, WeChat, microblogging, Tianya, beans period, Renren, and so on. Each social media software has its own characteristics, enterprises to find the most in line with their own user characteristics of social media to scene marketing, for example, QQ users more popular, what kind of users have, QQ has a group function, enterprises can search for keywords in these groups in accordance with the marketing, microblogging is basically in the QQ inverted over the user, but the difference is that most of the user's friends are acquaintances, the degree of trust, and the friends can be a good place for the user to find their own friends. Higher, and friends can make really good products are quickly shared, thus attracting more users, Tianya, Douban and other forums of social media, also has its own characteristics, Tianya users like generalizations, like crazy talk, and Douban users are more literary, high-income, high-knowledge users more. Therefore, beans are more suitable for some literary type.

3, in the relevant user gathering place to do scene marketing, the effect is twice as effective

In the relevant user gathering place to do scene marketing effect, than other places of scene marketing effect set hobby a lot. Although the scope of its coverage will not be very large, can only radiate to a certain location of the user, but the conversion rate is very high. In this way, enterprises do not have to waste too much advertising resources. For example, in front of the supermarket to do some of the old and middle-aged clothing discount activities, the effect will be much better than to do youth clothing discount activities. Because, to go to the supermarket are generally middle-aged and elderly people and housewives, he (she) they are less sensitive to the popularity of the sensitivity, but the sensitivity of the price is very high, and teenagers are heavy fashion more than heavy price.

Reasonable use of big data, timely implantation of application scenarios. Network open source can break through, due to bottlenecks in development.