The era of big data, bathroom marketing how to "start"

In the face of data, the market has become a transparent market. If promotions can truly understand the needs of customers and find effective, not the most consumers, then they can make the most substantial breakthrough. Big data offers such an opportunity. At the same time, promotions have caused the market to be chaotic and not **. After all, the consumer is not a Sherlock. In the era of big data, what should corporate promotions do?

In the era of big data, we must identify the entry point. “Little Times” After the trailer was launched, we learned from the microblogging that the main audience of the movie is 90-year-old women. Therefore, the follow-up marketing activities are mainly aimed at These people expand. The success of others is not without reason. Now that there are many people talking about big data, and saying something about it, everyone is more concerned about how can we really find the entry point for big data marketing?

In the past few years, the sanitary ware industry has emerged as a "brand alliance." This is because companies spontaneously organize themselves according to the relationship network. I am afraid there is not a slight difference between the actual consumption situation. In fact, there are often mismatches during the operation process. However, big data will show consumers' relevance to brand selection, similar to Jingdong Mall’s “preferential package”, “popularity mix” and “recommended collocation”. If a company or product with a strong connection is a package, it can be Correct many of the problems that the current "consortium" has.

It is difficult for the promoters to engage in demolition, and the data is not clear. If you think that "big data" is too extreme, call it "small data". Data analysis and application has always been a matter of what happened. When you log in to Taobao, in order to know the sales performance of a store, the first thing that comes to mind is to look at its sales; if you want to know the quality of a store's services, can you see its evaluation and store dynamic rating? For another example, when playing the WeChat public number as a media person, will it always focus on user analysis and focus on click-through rate and forwarding rate? Through big data, it is possible to predict the price of airline tickets, save money for self-paid tourists, predict traffic congestion, and help people choose better time periods and routes to save travel time. Real numbers will tell you many secrets.

The importance of prices to consumers' choice of products has been gradually declining. The core is the satisfaction of user needs. After each online promotion, the background of each major shopping website will be able to count the sales volume, product flow, customer evaluation, and quantity of refunds for each brand according to the categories of home building materials such as furniture, sofas, mattresses, textile products, and sanitary ware. And discharge precise rankings. For manufacturing companies, the more important significance of big data is that it can tailor products to the precise needs of consumers based on these effective information.