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What are the channels for big data mining? Those methods are more accurate?

Big data mining refers to multi-channel customer information collection, commonly used methods are as follows:

qq group mining (according to your product to establish a number of keywords to find the corresponding accurate group from the group members inside the mining).

qq public number (establish a qq public number platform, every day to send meaningful or customer interested in the content to attract the attention of qq users).

qq space visitors mining (when customers know you are in a certain industry in the field into your space is not excluded from your product interest, relative visitors we can extract).

WeChat public number (to establish a public number, every day or a specified period of time to publish magazines, cartoons, jokes, life health knowledge and other content to attract the attention of users and spread).

Drift bottle (qq and wechat can use drift bottle, but commonly used is wechat's drift bottle, send out the mood, generate interaction, tap new customers).

Self-media platforms to tap into, such as microblogging, Baidu posting, community, etc..

The accurate customer mining can be tapped from the following channels:

1. Referral method: that is, to let the customer loyal to your brand to penitentiary people around him, so as to set the information in the implementation of the corresponding marketing means, the reason is very simple friends say that words are always a lot stronger than the ads.

2. Understand the customer's brand, sales channels, production, so as to find out the customer's shortcomings and defects, and finally to the customer to find out how to solve the problem, and then invited to talk.