Huawei’s in app payment service provides functions such as purchasing goods or subscribing directly in the application. In order to make developers better understand the sales volume in the application and the market revenue effect of purchasing and subscribing goods, the consumption data statistics and data reports provided by Huawei’s in app payment service support multiple browsing methods. Developers can browse through the management center, Check the sales and flow of various commodities such as members or game equipment over a period of time, and these financial data will be updated daily based on the statistics of the urban area where the service site is located.
How to view the data you want?
On the home page of appgallery connect, click “analysis”. Select your application from the list, enter the “operation analysis” page, and select the “financial report” report. On the “Overview” page, you can view relevant data by currency (RMB, US dollar, Euro)
L total historical flow of the app, arppu (average flow per paid buyer) in the past 30 days and average value of each transaction.
At the same time, you can also view the data of all kinds of buyers in the past 1 day, the past 7 days and the past 30 days in the “buyer” detail list. The categories of purchasers include: 1. New purchasers: the purchasers who made the first purchase in the statistical period. 2. Repeat customers (secondary customers): buyers who have purchased before and then purchase again in the statistical period. 3. Total number of purchasers: all purchasers who have purchased in the statistical period.
L in the “flow” detail list, view the data of each flow source in the past 1 day, the past 7 days and the past 30 days.
Each flow source includes: 1. Application paid Download: the flow generated by download. 2. In application products: flow generated by in application products. 3. Subscription: the flow generated by continuous subscription. 4. Total flow: the summary of flow from all sources.
View data by country / region (multiple choices are supported), currency (RMB, US dollar, Euro) or scheduled time period (past day, past 7 days, past 30 days, historical accumulation). In the flow (by commodity) detail list.
View the flow data of top 10 products in the app, such as the flow data of purchasing members in a month, the number of orders, refunds, partial refunds, and annual flow forecast (flow data in the last 30 days (payment refund) * 12). You can also click “download list” to export the detailed list (. CSV format). At the bottom of the page, view the statistics of user’s preferential events, including “0 yuan goods issued quantity (Times)” and “coupons issued quantity (Times)”.
The buyer page includes buyer (user) data and arppu data. Click the “buyers (users)” tab to view the statistical data of all buyers, new buyers and repeat customers (secondary users) in the past 1 day, the past 7 days and the past 30 days by country / region (multiple choices are supported) or scheduled time period (past day, past 7 days, past 30 days and historical accumulation), The historical cumulative data is also displayed under “all buyers”. In the “number of users (by product)” list, view the number of users and month on month growth rate of top 10 products in the app.
Conversion volume page
Click the “conversion rate” tab to view the data by country / region (multiple choices are supported). View the user account payment rate (number of paid accounts / number of installed devices) accumulated in the past 30 days, the past 6 months, the past 12 months and history
Under the “arppu” list, view the cumulative arppu and its month on month growth rate of each designated country / region in the statistical cycle. The statistical data are displayed in the order of arppu pipeline from high to low. Data can be viewed by country / region (multiple choice) or currency (RMB, US dollar, Euro).
In the “payment user proportion conversion rate” list, view the buyer’s monthly cumulative per capita payment times and cumulative per capita payment amount in your application. Based on the data on the page, you can understand the changes in the consumption habits of buyers over a period of time, as well as the cumulative number of times and amount of expenses of paying buyers in history.
For more details, please refer to:
Official website of Huawei developer Alliance:https://developer.huawei.com/consumer/cn/hms?ha_source=hms1
Get the development guidance document:https://developer.huawei.com/consumer/cn/doc/development?ha_source=hms1
For developer discussion, please visit reddit community:https://www.reddit.com/r/HuaweiDevelopers/
Download demo and sample code at GitHub:https://github.com/HMS-Core
To solve the integration problem, please go to stack overflow:https://stackoverflow.com/questions/tagged/huawei-mobile-services?tab=Newest
Link to the original text:https://developer.huawei.com/consumer/cn/forum/topic/0204465548973510112?fid=18
Original author: Pepper