To reduce the app's user flow rate depends on the programmer

Source: Internet
Author: User

With the increasing number of apps and the concentration of App Store portals, it's becoming increasingly difficult for individual apps to get users, and the cost of getting users is getting higher.

Once an app through the market first can get a large number of users, but now through the first access to the number of users is a drop down. In today's mobile internet environment, many apps are constantly opening up new channel resources, introducing new entry traffic, from offline ads, TV commercials, bus bodies and so on. App advertising is ubiquitous, with an increasing range of apps being promoted. The expansion of the new channel channel also means that the APP's central entrance effect is diminishing. So under the premise of chasing the goal, had to go down the line.

In fact, if the source of access to users to describe, the user lost factors as export. Many App advocates have focused 80% of their efforts on the introduction of user portals. For example, a company may be a large number of promotion staff, and specifically responsible for the discovery of App problems are very few, some may be a customer service. But many people do not know that the export problem can make your App lose more users.

the number of export-lost App users is large

         I have used the Testin application quality Butler to test an app found that because of the problem of loading and unloading, the loss of 18 Million of users. In terms of running failures, 4 models failed to run, resulting in a loss of 5.54 million users. If the two problems are attributed to a category, it is compatible with the problem of adaptation. And on a compatible adaptation problem, resulting in the total loss of users 5.72 million, this is only the author test 148 models of the loss of users. 5.72 million users, for a promotion App developers, need to maintain a daily activation of 50,000, nearly 4 months to reach so many users, and now can reach the daily activation of 50,000 of the app should be very few, if the daily activation of 50,000 users, then a year is nearly 20 million users, two years is 4 0 of users, so the magnitude of the app in the market will not exceed 100, compared to 3 million app applications, not even one out of 10,000.

If the author tests the app is not enough to explain the problem, you can also take a well-known app to illustrate. Because the well-known APP should be very good, but the test found that: the test model for 178, the installation of the failure to uninstall the user is 320,000, the loss of 970,000 loss of operation, a total of 1.29 million lost users. 1.29 million users, for a well-known App, 50,000 activation per day, it will take nearly one months to complete. If each user is in the current 2 yuan a CPA purchase, the loss of cash is 2.58 million yuan. One months 2.58 million not every App promoter can afford it, and not every promoter is easy to earn, if each promoter's monthly salary is 10,000, then 2.58 million is a promoter to do 21 years to get paid. So, the user export loss in APP promotion is more important.

In addition to an app, there are more problems, such as too long startup time, slow response times, too much memory on your phone, too fast phone traffic, and power consumption, which can affect your users.

Top Ten issues such as connection timeout, flashback, lag, crash, black-and-white screen, network hijacking, poor interactive performance, CPU utilization, memory leak, bad interface and other ten performance problems, these problems will also make your users lose more serious.

It's easy to recover lost users

By testing most of the apps, I found that one of the main reasons for the failure of loading and unloading is: install_failed_missing_feature. And after the author to the technical colleagues to consult, this problem arises because of the problem of photography head caused. To fix this problem, just add a piece of code and comment out the camera feature. Adding this code is just a matter of minutes for a technical classmate, but it can help nearly hundreds of thousands of of users in a matter of minutes.

Relative to the problem of loading and unloading, the problem of matching operation will lead to more user churn. After the test error location of Testin cloud measurement, it is found that the errors of ADR and NDK are more in the process of running errors. This error occurs because the software engineer in the process of coding the logic is not strict, through the detection and correction of the code can be resolved.

From this perspective, it is still very easy to solve the problem of the quality of the App by technical means. These technical means can indirectly improve the quality of the App, thereby blocking the user's export losses, to restore the user. If the introduction of inlet traffic, reduce the flow loss of exports, the invisible increase in the user volume of the App.

Through the above problems can be seen, the real problem of user churn is the quality problem caused. In the app quality issue, installation uninstall is the first step, install uninstall problem will affect the conversion rate of the app. As we all know, an app's download volume in the app market represents the number of times the app has been downloaded, but this number is not equal to the number of activations. After downloading, most of the users may have installed the APP because of the installation problem, if a software download conversion rate of more than 50%, a lot of promotion people will fall asleep and laugh. In fact, a lot of quality problems led to the app conversion rate of only 30% or lower, coupled with the late operation of the user churn caused by the problem, an App to promote to tens of millions of users, the basic is more difficult.

So, the user drains the export, expand the user inflow of the entrance. In the promotion of the app, through the use of testing tools to constantly identify problems, fix errors, improve the quality of the app to win a steady stream of users.

To reduce the app's user flow rate depends on the programmer

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