Friends of the League Quarterly: small holiday photo beautification application favored by Beijing users late-night love shopping

December 15, Friends of the league formally released the second to third quarter of 2015 China Mobile Internet Trends report. In the report released by the Friends Union, the user's use scenes were specifically interpreted in detail. The report shows: during the small holiday period, as we go out, the party increased, the photo-beautification application of the open rate and the user's daily activity significantly increased. At the same time, 74% of the users who use photo-beautification applications are young female users, 88% of whom are unmarried and 93% women without cars.

One, a small holiday period users prefer to use photo application, late-night users watching video more

Judging by the comprehensive data on the user's use of the device and the application, if the user's usage scene is figurative, some interesting things will be found. For example, during the 51 small holiday, the use of photo beautification applications increased, and in the night-to-night period, the use of video playback applications will increase.

Among them, 51 small holiday period, the daily use of photo beautification application of the user growth of 18.1%, from the use of the scene to interpret, when a small long vacation, many users will meet with friends or take a short trip, in this scenario, the user needs to use photo-class application is significantly increased.

Ii. The majority of young female users are unmarried without a car

However, it is not enough to just understand the category of the application. In a given scenario, what kind of user uses these categories of apps, which need to be cross-calculated with user attribute data and mobile user behavior data.

Still with a small long vacation period of data, during the small holiday period, the most active users of the largest photo-beautification class application user base portrait of the following:

Third, Guangzhou users will also take selfies late at night

Similarly, as we focus on late sleepers, we will find that users in different geographies have a different habit of using apps late at night, but in almost all regions there are many users who use video playback applications in late-night sessions. From the user's habits to consider, video playback class applications in the use of the scene before bedtime, and easy to let users ignore the time problem. On the scene, it's easier to keep using it from night until late at night.

In other aspects, Beijing users in the late night will visit the e-commerce shopping guide applications, Shanghai users are casual entertainment, Guangzhou users will use photo beautification, Heilongjiang users are accustomed to reading.

Four, Lenovo mobile phone users sleep more late

Because different brands of mobile phones, their user-oriented layer is different, so we can also find different brands of mobile phone users, there are behavioral differences. Friends of the alliance will be mobile phone brand data and the user's sleep time cross-operation found that: the use of Lenovo, Motorola, Samsung and other mobile phone brand users than other brand users sleep later.

The user scenario described above is simply a simple description of some of the user's common behavior states, which is far from enough for data analysis of mobile Internet.

By using data to describe the way users use the scene to make friends of the Union's data have more and richer value. For example, for the promotion staff, understand the depth of the user's daily gathering place, you can do a better job of pushing activities, for operators, understand the characteristics of existing users, can be targeted to carry out content operations, at the same time, according to the user's habit of using the app at different times, but also to more effective message push and other operational means Product personnel can use the scene data to understand the user's habits in different scenarios, so that there is a focus on product update iteration; Sales people can dig out the characteristics of different people in various scenarios and develop more accurate sales strategies. Examples of such data applications have a lot of space to think about.

The above introduction of the Friends of the League Quarterly: small holiday photo beautification application favored by Beijing users late at night shopping, including the content, I hope that the PHP tutorial interested in a friend helpful.

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