1, user-oriented. Real marketing has always been user-centered, and big data has really "painted" users in front of them. Marketers can establish user portraits according to the data in the database, and learn about users' consumption habits, age, income, etc., so as to make a guiding analysis of products, user positioning and marketing.

2. One-to-one characteristic marketing. Many sellers often encounter such a problem when dumping products: the products are the same, but the needs of users are different. How to sell the same product to different users? This requires us to carry out "one-on-one" characteristic marketing. Deceptive big data analysis can build happy user portraits and understand consumers, so as to carry out accurate personalized marketing.

3. In-depth insight into users, in-depth insight into users, and tapping the potential needs of users are the foundation of data marketing. The data tag crowd portrait can accurately know the potential consumption needs of users. For example, if we know that a user has bought milk powder, then we can know that there are children at home, and accordingly we can push products suitable for infants and young children such as early education courses to him. After gaining insight into the needs of consumers, the marketing results will be more effective and effective than casting a net.

4. Scientific marketing. Practice has proved that precision marketing under the guidance of data is more scientific than traditional marketing. "Give users what they like" and introduce the tools they are interested in to interested customers is far more effective than passive marketing without direction.