Application of large data in network marketing

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Some time ago in A5 submitted "on the traditional enterprise development of some ideas," this article, after the release of many people have contacted me to exchange discussions, which has been mentioned in the Operation promotion Program: large data platform applications. At that time because of the length of the article and the theme of the article did not focus on the mention, is to use this paper to focus on interpretation.

What is big data?

According to my personal understanding: in the network marketing, the big data is collects to the customer as well as the latent customer's information material through the different method, like the customer likes, the contact method, the name, the consumption habit and so on.

Why do you think of using large data?

Before doing SEO, electric business promotion when thinking more is how to bring more traffic, but these months back to the traditional industry, more understand that the customer is the root, and the cost of maintaining an old customer is completely unequal to the cost of developing a new customer, traffic is designed to develop new customers, is important, But the network marketing wants the marketing, the customer relations maintenance and the management is more important, but this one big data collection and the use is the apparent.

How to collect large data?

1. Decoy design scheme. How to obtain customer information information, only let the customer actively to tell us the information is the most authentic, useful customer database. So, how to let the customer actively inform it, this is the decoy design, have the corresponding bait to meet customer needs and desires, supplemented by the corresponding customer information collection mechanism, the customer is not difficult to inform you of the information. For example, you have a boutique in the industry and do not disclose information, need this information to leave the email address (of course, can also be QQ, micro-letter, mobile phone, etc.), and then sent to the left of the mailbox, I believe that the need for this information will not be unwilling to leave his e-mail address, This is a successful decoy design for collecting customer data.

PS: Because such customer information collection is a customer initiative to provide, so we design the decoy scheme must take into account the user's operation is simple and convenient, the more simple and convenient the better.

2. Offline data collection. In fact, everyone, every business is wired under the circle, customers. Especially for the traditional enterprises to enter the electric business, offline customer data is a high-quality resources, such as the dealer's customer purchase information input and collation and so on.

3. Related close industry cooperation. In particular, different products but belong to the same or similar industries. George Bernard Shaw said: "You have an apple, I have an apple, we exchange each other, each one is an apple; you have a thought, I have a thought, we exchange each other, each can have two kinds of ideas." "And, similarly, this applies to the collection and collation of customer data as well, if 2 companies are selling car products, a company sells car lights, and a company sells car cushions, so 2 companies can fully reach a partnership to share customer data, which can add up to one more potential customer.

4. Other. If there are some platforms for sale of customer information materials.

What are the most commonly used data messages?

Personally feel that the collection of customer information is of course the more perfect, such as customer preferences, reading habits, consumption habits, income, jobs, jobs, and so on, so that more complete analysis of customer needs, of course, in view of the convenience to facilitate the analysis of the reasons, we are now in the general use of Network Marketing customer information is mainly mailbox, QQ, Telephone, micro-signal and other contact methods, and then according to the corresponding industry analysis of several important information dimensions, in order to form a perfect customer information database.

How to use large data?

1. Information collection and collation. Collecting naturally needless to say, it is important to collate data. Organize according to different dimensions, for example, according to the contact method (affect the content push channel), the information collects the channel (affects to the content push policy, the time, the product request and so on). A very simple example, a company that operates a different product, if you do not in the customer information database to separate the customer information to organize the list, but all the information a brain to the same customer, then the result may be: light to push the content of information, products can not achieve the desired effect, do not work hard, It takes time and effort; heavy causes customers to be fed up with the information generated boredom, resistance, or cancel the attention of the information, or directly ignore, or directly give up the purchase of products ....

2. Push the content. This involves the selection of content push channels (such as micro-letter, QQ, mailbox, etc.) and the content push mechanism (such as content push cycle, content positioning, content display method, etc.). Ensure that information is communicated to customers in a timely and accurate manner. This step and the previous step: the collection and collation of information is in the same vein.

3. Effect monitoring. Content sent to the customer does not represent everything, the amount of information, clicks, consulting volume, turnover (conversion rate), such as data monitoring is to ensure that the effectiveness of the certificate is excellent, but also the later planning and improvement of the reference, so a reasonable data monitoring mechanism is essential.

4. Continuous improvement. The use of large data is reasonable, the content of the time is appropriate to push, the content is reasonable to push, this is not a one-time, not a one-off perfect, only through the practice and data analysis, and then to step by step to improve the use of large data more perfect.

Benefits of using large data?

1. Increase of potential customers; 1+1=2, exchange of information is different from the exchange of 2 people apple, if you can establish the same, close to the industry (in fact, the same products can exist, after all, there are brands, regions and other aspects of the differences, depending on the specific circumstances) of the Cooperative Alliance, and to share customer resources, If there are 20 enterprises of the same size, then these 20 enterprises have a relative to their 20 times times the customer resources;

2. Customer relationship Management and maintenance; whether traditional enterprises and network marketing, customer relationship management is an indispensable part of the use of large data to classify customers, different time, festivals and so on to serve different content and activities, this for the Enterprise customer relations, corporate image, order volume, Corporate exposure and so on have a positive effect.

3. Profitability is greatly enhanced. Network marketing is the fundamental profit, the old customers to buy more than the ability to enhance, more potential customers of the excavation, will undoubtedly network marketing orders to increase a great role in promoting.

End

Of course, the above content I did not personally practice the operation, but I after the electrical business promotion work some ideas! It's easier said than done, and there will be more problems in the middle.

I am looking for a job in Shenzhen area about the website operation promotion work, if everybody has the suitable hope can recommend.

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