[Huawei Developers] shikkerimath:
HUAWEI In-App Purchases (IAP) provides a wide range of functions related to in-app product purchases and subscriptions, while also providing easy-to-view summaries related to in-app sales, purchases, and subscription through multi-faceted data analysis. The service enables you to view sales or revenue for products, such as VIP memberships or game equipment, over specific periods of time by clicking Console on HUAWEI Developers. This data comes straight from the local service area, and is updated on a daily basis.

How can you view the data you need?

Ø Overview Page

Sign in to AppGallery Connect and find Analytics. Click Operation Analysis, located below Analytics, and choose the app for which you wish to view detailed data. On the Overview page under Financial reports, you can view the following data by currency (CNY, USD, and EUR).

l The total revenue, Average Revenue Per Paying User (ARPPU) over the past 30 days, and average value of each deal for an app.

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l The number of different types of buyers over the last day, last seven days, and last 30 days, in the Buyers table. Buyers include both new buyers and returning buyers. New buyers are those who make their initial purchases during the specified period. Returning buyers are those who had previously made a purchase in your app, and have made a purchase once again during the specified period. Total buyers refer to all the buyers who make purchases during the specified period.

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l The revenue data for the last day, last 7 days, and last 30 days, in the Revenue table.

Revenue sources include the following items:

1. Paid app downloads: Revenue generated from paid app downloads.

2. In-app purchases: Revenue generated from the purchase of in-app products.

3. Subscriptions: Revenue generated from ongoing subscriptions.

Total revenue refers to the total sum of these three revenue sources.

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Ø Revenue page

Above the Revenue (by product) table, you can opt to view the data by specific country or region (multiple choices supported), currency (CNY, USD, and, EUR), and time period (last day, last seven days, last 30 days, and all time).

After setting these filters, you'll be able to view the revenue data for the 10 most popular products in your app, including one-month VIP fees, order quantity, full refunds, partial refunds, and annual revenue forecast (revenue over the past 30 days (payments – refunds) x 12). You can then click Download to export the detailed list in CSV format. At the bottom of the page, you can view the promotions in which users received discounts, including the number of products distributed for free and issued coupons.

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Ø Purchasers page

The Purchasers page includes the buyer (user) data and ARPPU data. After clicking the Buyer tab, and selecting the countries and regions of interest (multiple choices supported) and time period (last day, last seven days, last 30 days, and all time), you can view the data for all buyers, new buyers, and returning buyers over the selected period. If you select All for all buyers, you'll also be able to see the total number of the buyers in your app. In the Buyers statistics by product table, you'll be able to view the number of buyers, and the period-on-period growth rate for the top 10 in-app products.

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Ø Conversion page

After clicking the Conversion rate tab and selecting the countries and regions of interest (multiple choices supported), you'll be able to view the user account payment rate (number of accounts making purchases/number of devices with your app installed) over the past 30 days, 6 months, 12 months, and all time in all stipulated locations.

On the ARPPU page, you can opt to view the data for countries and regions of interest (multiple choices supported), and by currency (CNY, USD, and, EUR). After setting these filters, you'll be able to view the ARPPU values and their period-on-period growth rates for the selected locations over a specified period of time. All the data will be displayed in descending order by ARPPU.

In the Payment rate table, you'll find the average payment times per user per month and average payment amount per user per month for your app. The data provided by IAP provides key insights into user demand and purchasing habits, while offering a host of fine-tuned filters to hone in on individual products and specific time periods.

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For more details, please go to

l Our official website

l Our Development Documentation page, to find the documents you need

l Reddit to join our developer discussion

l GitHub to download demos and sample code

l Stack Overflow to troubleshoot integration-related issues