Analysis services help product operations

What is the conversion rate of merchandise sales? Which categories are more popular with users? How to use data to increase GMV (transaction value)? In addition to basic user behavior analysis such as new additions, active status, etc., the most important thing for e-commerce apps is to pay attention to users' paid purchases, including product sales and purchase categories. Therefore, a complete e-commerce industry analysis report is indispensable.

HUAWEI Analytics Service 6.2.0 launched the e-commerce industry analysis report, from several modules such as data overview, payment analysis, user analysis, product sales analysis, product category analysis, etc., it fully demonstrated the key indicator data of e-commerce APP to help operators formulate More precise marketing plans and product strategies. In addition, intelligent data access provides corresponding embedded template and code samples, which is very efficient and convenient.

1. Core Indicators Kanban

The data overview area shows the real-time usage and payment status of the APP, such as real-time online/paying number, payment amount, etc. And the "Add Filter" function supports filtering different platforms, application names, user attributes, and audiences to view data on different demographic characteristics. Operating students can quickly grasp the basic operating status of the APP through the data overview.

*The data on the picture is virtual

2. Paid analysis indicators to measure the overall growth and development trend of the business

For the e-commerce industry, payment status is one of the most direct indicators to measure product operating conditions. On the payment analysis report page, operators can visually see the payment amount, the number of paid users, and the per capita payment amount, etc., and support the screening of people based on filters and time periods. If a shopping app wants to check the payment status of active users, filter the audience "active users" in the "Add Filter" control to view the corresponding report.

*The data on the picture is virtual

*The data on the picture is virtual

3. Ten sections of user analysis to quickly and intuitively monitor user performance

On the user analysis report page, the number of active users, the distribution of active user login periods, the number of daily refluxes, the average login duration per person, the average single login duration, the number of new users, the retention of active users, the retention of new users, etc. Increase, activity, and retention. On the other hand, operators can judge the attractiveness of each sharing channel and pit material to users from the user's sharing channel situation and the click situation of the operating position.

*The data on the picture is virtual

*The data on the picture is virtual

4. Product sales and category analysis to help quickly optimize growth strategies

From the perspective of product sales, operators need to pay attention to sales, category sales, etc., to help formulate more accurate marketing measures.

In the product sales analysis module, the data overview area visually displays basic sales data such as product sales, order volume, and product detail pages. In the card area, the recent revenue can be judged by the trend of GMV change. In addition to the overall revenue situation, the e-commerce industry needs to pay more attention to various conversion rates, such as payment conversion rates and order conversion rates. When the payment conversion rate rises, it indicates that the product or marketing activity is attractive to users. The conversion rate can also be combined with the funnel analysis in Huawei analysis to establish a conversion funnel for drill-down analysis.

*The data on the picture is virtual

*The data on the picture is virtual

Through the product sales category board, operators can quickly grasp the sales revenue contribution of various products in the mall, such as the number of purchases and sales of each product. Data such as the proportion of cancelled orders, the proportion of returns of each category, and the proportion of collections of each category can help operators determine which products are popular products and increase resource input. For products with more returns and cancelled orders, it may be necessary Think about whether the product is not popular with users.

*The data on the picture is virtual

*The data on the picture is virtual

In addition, the shopping mall APP can also combine the audience analysis, user life cycle analysis, funnel analysis and other functions of Huawei's analysis service to conduct a more comprehensive and refined analysis of users. Finally, combine intelligent operation to reach users and take targeted operation measures.

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