[Huawei Developers] Jack Wu Shenzhen:
How is the sales conversion rate? Which categories of products are most popular? How can we boost the gross merchandise volume (GMV)? These are just a few of the tough questions that operations personnel are facing these days. As e-commerce has flourished, it is increasingly important to collect a wide range of user-related data, from basic user behavior analysis, such as the numbers of new users and active users, to payment information, including product sales amount and categories. That's why accessing a comprehensive analysis report on the e-commerce sector can be so valuable.

And now, Analytics Kit 6.2.0 is ready to help. It offers e-commerce analysis reports, which display key indicators for e-commerce apps, from dimensions like data overview, payment analysis, user analysis, product sales analysis, and product category analysis, giving operations personnel high-level insight on precision marketing and product strategies. In addition, the intelligent data access function provides event tracking templates and sample code, which spur greater efficiency across the board.

1. Overview of Core Indicators

Data overview can display your app's real-time usage and payment information, such as the number of online users, number of paying users, and payment amount. You can add filter criteria to filter data by platform, app, user attribute, or audience. Such a broad range of data gives you an accurate glimpse at the basic running status of your app.

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2. Payment Analysis Indicators, Revealing Business Growth Trends

For the e-commerce industry, payment is a direct indicator for measuring product operations status. With Payment analysis, you can view the payment amount, number of users who have made a payment, average payment amount per user, and other indicators. You can also filter user groups based on the configured filter criteria and time period. For example, to view the payment data of active users in your e-commerce app, click Add filter, and then Audience, before selecting Active users.

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3. User Analysis in 10 Dimensions, Providing Key Insight on User Behavior

User analysis shows user growth and behavior through broad-ranging indicators, including the numbers of new and active users, sign-in time segments of active users, number of daily won-back users, average usage duration per user, average usage duration per sign-in, and retention of new and active users. You can compare the appeal of different sharing channels and promotional assets, based on indicators like sharing channels and operations slot clicks.

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4. Product Sales and Category Analysis, Helping You Pursue Growth-oriented Strategies

It is important to track sales volumes and the allocation of sales by product category, in order to implement effective marketing schemes.

The Product sales analysis tab page presents a comprehensive overview of sales data, including the GMV, numbers of orders, and product details. The GMV trend card, for instance, clearly shows the recent revenue status. But success is dependent on far more than just overall revenue. In e-commerce, a number of conversion rates, such as the payment conversion rate and the order conversion rate, are critical to success. An increase in the payment conversion rate means that users find your products or marketing activities appealing. To better analyze the conversion rate, you can create a conversion funnel to perform drill-down analysis using the funnel analysis function provided by Analytics Kit.

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Product category analysis gives you a breakdown for the allocation of each product category in terms of total sales revenue, with indicators like the number of purchasers and the sales volume. Furthermore, indicators like the percentages of categories with canceled orders, returns, and favorites allow you to see which products are popular, so that you can invest resources in an optimal manner. On the contrary, for products with a large number of canceled orders and returns, it may indicate that they are not popular with users.

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As if that were not enough, you can also perform comprehensive and refined analysis on users via the audience analysis, user lifecycle analysis, and funnel analysis functions provided by Analytics Kit.

To learn more, click here to get the free trial for the demo, or visit our official website to access the development documents for Android, iOS, Web, and Quick App.