There are so many ways to promote APP, let’s take a deep analysis of the points wall!

At 2:00 p.m. on September 6, we held the fourth live broadcast of [ ASO Open Class], explaining the point wall issue that many APP operators are concerned about. Below is some useful information about live streaming.

On March 6, 2008, Apple released the application development kit (SDK) for the iPhone. Three months later, the number rose to 250,000. Following the launch of the SDK, Apple App Store was officially launched on July 11 of the same year.

"Where there are rankings, there are people who manipulate the rankings ; where there are votes, there are people who manipulate the click counts ." This truth of the Internet age is also proven on the App Store. In 2013, professional App ranking companies (teams) of a certain scale appeared in China.

In 2014, the domestic points wall business began to grow in scale. The WeChat version appeared in 2015, and the points wall has become the first choice for more and more APP promotion operators.

APPs can improve their ranking in keyword search results by being found and downloaded by real people searching for keywords.

When an APP needs to optimize a certain keyword, for example, LeTV Video wants to improve the ranking of users' search keywords "video", it can achieve this through the points wall.

As the number of downloads of an APP increases, its ranking in the list will rise.

Then we can see that in this chart, the average decline rate of Points Wall A is 15.74%, the average decline rate of Points Wall B is 9.83%, the average decline rate of Points Wall C is 10.18, the average decline rate of Points Wall D is 8.98%, and the average decline rate of Points Wall E is 10.78%. Except for Points Wall A, which has a significantly higher ratio, the poor performance of other Points Walls is also around 10%.

We can see from the above figure that about 10% of the apps on several points walls have seen a drop in rankings, so what are the factors that affect them?

We usually focus on the time between 3pm and 4pm, as this time period is the best. If some APP operators set the time in the morning or evening due to haste, it will affect the effect of the points wall.

The ranking of the points wall is not only related to the number of views of your own APP, but also related to competitors. Here is a simple example:

TuX gave 5,000 hits to the second-ranked keyword “travel” in an effort to take the first place. XieX gave 10,000 hits to the keyword “travel” which ranked first. It is obvious that TuX achieved little success in this points wall operation.

This problem is easy to understand. When players are doing tasks within the points wall, the points wall may be ineffective due to reasons such as downloading the wrong APP due to ICON; not finding the APP through specified keywords but directly searching for the APP name to download the APP, etc.

Anti-cheating measures are settings in the background of the points wall to determine the authenticity of users' tasks. Some points walls have poor anti-cheating measures, so it is difficult to identify users' repeated downloading behavior, downloading behavior with multiple Apple IDs using a single IP, and so on. If this measure is done well, it will significantly improve the effectiveness of the points wall.