Application of Big Data in Internet Marketing

What is Big Data?

According to my personal understanding: in online marketing, big data is the collection of information about customers and potential customers through different methods, such as customer preferences, contact information, name, spending habits and so on.

Why do you think of using big data?

Previously do SEO, e-commerce promotion time to think more about how to bring more traffic, but these months back to the traditional industry, more understanding of the customer is fundamental, and the cost of maintaining an old customer with the development of a new customer cost is completely unequal, the flow of traffic aimed at the development of new customers, of course, is important, but the network marketing want to marketing, customer relationship maintenance and management It is even more important, and this is the collection and use of big data is crying out for it.

How to collect big data?

1. Bait design program. How to get customer information data, only let the customer take the initiative to tell us the information is the most real and useful customer database. So, how to let customers take the initiative to tell it, this is the bait design, there are appropriate bait to meet the needs and desires of customers, supplemented by the corresponding customer information collection mechanism, customers will not be difficult to inform you of the information. For example, you have a boutique in the industry and not public information, need this information need to leave an e-mail address (of course, can also be QQ, WeChat, cell phones, etc.), and then sent to leave the mailbox, I believe that the need for this information will not be reluctant to leave his e-mail address, which is a successful for the collection of customer data for the design of the bait program.

PS: Because the collection of customer information is the customer's initiative to provide, so we must take into account the design of the bait program to 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 a circle of offline, customers. Especially for traditional enterprises now entering the e-commerce, offline customer data is a high-quality resources, such as dealers, customer purchase information entry and organization.

3. Relevant and similar industry cooperation. Especially 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 person is still an apple; you have a kind of thought, I have a kind of thought, we exchange each other, each person can have two kinds of thought." The same reason, this reasoning for the collection and organization of customer data is also applicable, if there are 2 companies with the sale of automotive products, a company sells automotive lights, a company sells automotive cushions, so that the 2 companies can reach a partnership *** enjoy customer data, which can double the number of potential customers.

4. If there are certain platforms that sell customer information data.

What are the commonly used big data information?

I personally feel that the collection of customer information is of course the more perfect the better, such as customer preferences, reading habits, consumption habits, income, work, position, etc., so that a more complete analysis of customer demand, of course, taking into account the convenience of the reason for the analysis, we are now routinely used in the network marketing of customer information is mainly mailboxes, QQ, telephone, micro-signal and other contact information, and then According to the corresponding industry to analyze several important information dimensions, so as to form a perfect customer information database.

How to use big data?

1. Information collection and organization. Collection of natural needless to say, the important thing is in the organization of data. According to different dimensions of organized organization, such as according to contact information (affecting the content push channels), information collection channels (affecting the content push policy, time, product demand, etc.). A very simple example, a company operates different products, if you do not have a customer information database will be separated from customer information to organize the list, but all the information will be pushed to the same customer, then the result may be: light push content information, products can not achieve the desired effect, do useless, time-consuming and costly; heavy lead to customers to push the information to produce boredom, resistance, or cancel the attention of the information, or directly ignore, or directly give up to buy products .......

2. Content push. This involves the selection of content push channels (such as microblogging, QQ, email, etc.) and content push mechanisms (such as content push cycle, content positioning, content display methods, etc.). Ensure that the information can be timely and accurate to reach the hands of customers. This step and the previous step: the collection and organization of information is the same.

3. Monitoring results. Content sent to the hands of customers does not mean that everything is fine, information display, clicks, consultation, turnover (conversion rate) and other data monitoring is to ensure that the effect is excellent evidence, but also the later program development and improvement of reference, so a reasonable data monitoring mechanism is essential.

4. Continuous improvement. Whether the use of big data is reasonable, whether the time of content push is appropriate, whether the content push is reasonable, this is not an overnight success, can not be perfect at once, only through the practice of time and again with the data analysis, and then can be improved step by step, so that the use of big data is more perfect.

The benefits of using big data?

1. Increase in potential customers; 1 +1 = 2, the exchange of information is different from the exchange of 2 personal apples, if you can establish the same, similar industries (in fact, the same products can exist, after all, there are differences in branding, region, etc., depending on the specific circumstances) of the cooperative alliance, and be able to **** each other to enjoy the customer's resources, if there are 20 companies of the same size, then these 20 companies have the same size. Then these 20 companies have relative to their own 20 times the customer resources;

2. Customer relationship management and maintenance; whether it is a traditional business and network marketing, customer relationship management is an indispensable part of the use of big data on the customer classification and organization, different times, festivals, and so on on the different content and activities, which is for the enterprise's customer relations, corporate image, orders, turnover, corporate exposure and so on. This has a positive effect on customer relations, corporate image, orders, turnover, corporate exposure and so on.

3. Profitability is greatly enhanced. The root of network marketing is to win, the old customers to enhance the ability to buy many times, more potential customers to tap, will undoubtedly increase the network marketing orders have a great role in promoting.

Ending

Of course, I did not personally practice the above content, but I just go through some of the ideas of the work of the promotion of e-commerce! Easier said than done, of course, will not be simple, the middle will encounter more problems.

The above is what I shared with you about the application of big data in network marketing, more information can be concerned about the Global Green Ivy share more dry goods