What is the difference between big data precision marketing and traditional offline promotion marketing?

The most important aspect of big data marketing is the acquisition of data. For example, the user's behavior data is always recorded in Taobao's background log. These data include: user's click behavior, user's collection behavior, user's purchase behavior, user's evaluation behavior and so on.

With the data, the user is pictured through the machine learning algorithm. For example, the probability of buying beer when buying diapers is calculated by correlation analysis algorithm. Because it is massive data, according to the big data theorem, the probability of users buying a certain commodity at the same time is close to 100%, so it is accurate to sell several commodities together.

With the wider application of big data and artificial intelligence, there are more and more users registered online, and it is more and more difficult to promote offline, especially in subways and bus stations, where tens of millions of people are burning money.