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What is a user portrait? How to analyze user portraits
What is a user portrait?

User portrait is a virtual representative of real users and a target user model based on a series of real data.

Generally speaking, it is-what is the target audience of our products, what is the core group that uses our products, what are their behavior characteristics and consumption habits, and what is the core demand that can stimulate them to buy.

We can understand it as the core weapon of an enterprise, which can help us:

Pay attention to and gain insight into users' needs.

Make more accurate decisions.

Cultivate users' thinking.

In order to help you better understand user portraits, here is a set of user portrait creation templates for your reference:

How to analyze user portraits? 1. Baidu Big Data Insight: Baidu Index

Baidu Index is a data sharing platform based on Baidu's massive netizen behavior data. Baidu index has three display dimensions: trend research, demand map and crowd portrait.

Trend research: this is the core and basic function of Baidu index, which is to judge the attention of keywords from the time dimension; You can do comparative analysis and find out the law.

Taking the art class as an example, we found a rule after searching for keywords. March and September are the peak periods of search every year, which is just to cope with these two school seasons.

Demand map: the demand for related search words expressed by the change of search behavior before and after the user searches for the word.

For example, through the keyword "art", search related small keywords. Can help us more accurately grasp the needs of users. The larger the circle in the circle, the stronger the correlation with keywords.

Portrait of crowds: The crowd characteristics of search keywords are developed from the characteristics of region, age, gender distribution and interest attributes.

2. Global Data Insight-Stargazing

Stargazing disk gathers global data composed of Baidu domain data, customer data and partner data, builds massive user behavior labels, provides multi-dimensional industry and brand insight, comprehensively perceives user behaviors and intentions, and helps brands to target accurate users.

With the help of star-watching data, people can be subdivided, which can cover different key points for drainage marketing, enhance the target users' awareness of the brand and enhance their influence.