Ten big data let you play slide mobile ads

When the Android platform is available, it is marked with open and free tags. Many Android developers make money by advertising in the app, but often failing to make themselves a headless flies without using the data.

In fact, if you have some basic advertising concepts clearly defined and you know the key dimensions of your data, developers can take advantage of the various types of data statistics provided by third-party statistical platforms to measure mobile advertising revenue.

as follows:

1, the total number of users

The total number of users who install applications; this is a basic data, depending on the quality of the application and the effectiveness of the promotion, so it is a prerequisite for good revenue, good applications and finding the right distribution channels.

2, daily activity rate

The number of active users on the day in total users; this depends on the type of application and operating conditions, such as express query applications, users can not use every day, just want to know the progress of courier will use this application, the application of daily activity The corresponding lower

Total number of users * Daily activity rate = daily active users

3, per capita use of time

This data refers to the average usage duration of each user per day, which is obtained by the average usage duration of the daily start times per person *, which is related to the type of the application and the application content, and the developer can improve the usage of the user by appropriately enriching the content of the application Time, such as many weather-related applications, are increasing the number of car wash index, dressing index, the fortune and other functions to enrich the content of the application, a very good time to improve the user's use.

Through the above three data, we can basically determine the advertising profitability of the application

Number of daily active users * per capita duration = one-day show duration

4, ad request frequency

How often the application request an advertisement to the advertisement platform, this parameter is divided into a platform setting and a developer setting according to different advertisement platforms, and is usually set at about 30 seconds

One-day impression duration / ad request frequency = number of ad requests

5, fill rate

The fill rate is determined by the ad platform, depending on the total number of ads on the ad platform and the way ads are served. For example, an ad platform opted to serve ads to reading apps, and your app will not get filled with ads if it happens to be a game app.

Ad request count * Fill rate = one-day ad impressions

6, advertising conversion rate

This data is related to many factors, such as the placement of ads, the quality of applications, the quality of advertisements, the time and region, the accuracy of advertisements (the relevance of advertisements to user needs) and so on.

Number of single-day ad impressions * Ad conversion rate = number of single-day ad results

7, advertising unit price

Complete an advertising effect of the price, this is determined by the advertiser or advertising platform, usually cpc (single-click price), cpa (single download, activate the price)

The number of single-day advertising effect * advertising effectiveness unit price = single-day advertising revenue

Using the data above, we can calculate the revenue for a single day of advertising and learn about the short-term revenue for the app, but if you simply pursue short-term gains, it is bound to affect the user experience of the app and the value of the app can not be maximized, so you need to Balance your advertising revenue and user experience with the following three data

8, the proportion of page visits

The total length of the user's visit to each page of the total, this data is used as a basis for advertising optimization; For example, the user stays for a very short period of time, display ads will not be too good, you can consider to cancel the display category ads

9, retention rate

Users to install the application, the continued use of the rate, according to the time dimension is divided into daily retention rate, weekly retention rate, monthly retention rate; If your application to increase advertising, the user retention rate decreased significantly, then means that the user Loss increases, need to adjust the ads in the application as soon as possible

10, the user life cycle

The user usually starts from using the application to uninstalling the application and usually includes the four stages of trying, transforming, stabilizing, and degenerating. Inappropriate use of advertisements in applications usually drastically reduces the stability of the application and accelerates the degeneration period .