[Huawei Developers] Jack Wu Shenzhen:
HUAWEI Analytics Kit 5.3.1 was recently unveiled, and is designed to address enterprises' evolving requirements. The new version comes equipped with a broad range of new features, such as intelligent data access, uninstallation analysis, game analysis reports, and profile labels, offering a comprehensive, but fine-tuned data analysis experience characterized by seamless efficiency and effortless convenience.

Let's have a look at what's in store in the new version:

The newly added intelligent data access function covers the entire process from SDK integration to coding, verification, and management, considerably boosting event tracking efficiency and accuracy.

Uninstallation analysis is now available to analyze high-frequency events that occurred prior to users having uninstalled an app, as well as users' behavioral paths and characteristics, thus helping locate the root causes and reducing user churn.

Reports for MMO and trading card games have been added to game industry analysis. In addition, templates for intelligent event tracking are offered, streamlining data collection, analysis, and usage.

Dozens of profile labels, including Device price and Inactive days, have been made available, enabling you to gain in-depth insights into user characteristics, laying the foundation for precision marketing.

Furthermore, session path analysis in Analytics Kit 5.3.1 shows you behavioral paths with the specified start or end event. Through it, you can learn more about the app usage habits of your users.

1. Intelligent data access: key to efficient event tracking

Event tracking is crucial, as it is a prerequisite for effective data analysis and pursuing precise, data-driven operations. From tracking design to coding, verification, and management, event tracking encompasses a number of complex steps that have an enormous impact on data quality and decision-making. No matter which step encounters a bug, locating and fixing the issue is difficult.

Intelligent data access was developed with the goal of enhancing data quality and facilitating event tracking. SDK integration verification, industry-specific templates, and tracking management among other capabilities, form a one-stop solution that promises to reduce technical staff workloads, maximize the value of data, and facilitate widespread digitalization within enterprises.

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SDK integration verification: After the Analytics SDK is integrated, you can view the initialization result in real time.

E2E management: Intelligent data access is capable of intelligently recommending data collection schemes and visual event tracking, helping you manage the event tracking process from start to finish.

Preset industry-specific templates: Intelligent data access leverages extensive industry experience to offer templates that consist of abundant events and sample code, thereby contributing to higher efficiency.

Intelligent configuration and verification: Anomalies can be detected, ensuring a high level of accuracy throughout the entire event tracking configuration process.

Easy management: Event tracking has been made easier with one-click event registration and unregistration.

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Intelligent data access is used in conjunction with industry analysis. You can select an industry-specific template (templates for MMO and trading card games are available). After configuring event tracking, you'll be able to view the relevant data in the industry analysis report.

2. Gaining insight into user behavior and locating the root cause via uninstallation analysis

Few analytics platforms currently on the market are capable of collecting statistics on uninstallation data, making it difficult to track uninstallation trends, analyze pre-uninstallation behavior, and profile users. Consequently, analyzing why users have uninstalled an app, and reducing the uninstallation rate are both major challenges.

Uninstallation analysis in Analytics Kit 5.3.1 makes this easier than ever. After a user uninstalls an app, HMS Core (APK) notifies the cloud platform of Analytics Kit, to ensure that Analytics Kit can collect the uninstallation data in a timely manner.

The uninstallation analysis report encompasses app uninstallation trends, as well as versions, channels, operating systems, and device models of users who have uninstalled the app. The top 10 pre-uninstallation events and top 10 pre-uninstallation session paths give you a sense of why users uninstalled the app. You can also find the attributes of these users, such as the first launch time, last interaction time, and their locations. With such a rich array of data, you'll be able to design targeted optimization measures to reduce user churn.

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3. Available analysis reports for trading card and MMO games

For trading card games

Analytics Kit 5.3.1 comes equipped with a tracking scheme and analysis report dedicated to trading card games, which accounts for the characteristics of this type of game. To view the analysis report, under Intelligent data access, select a trading card game template and complete the required configurations.

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This report provides you with direct access to user behavior via data related to payments, players, virtual consumption, battles, and cards, laying the groundwork for ongoing product optimization and sustainable revenue growth.

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The report reveals a wide range of indicators, including numbers of players, churned users, and won-back users, real-time payment rate, ARPU, ARPPU, distribution of active users (by vendor, device model, location, channel, and role level), average usage duration, virtual coin consumption, battles, and card drawings.

For MMO games

This analysis report provides insights on user behavior through data related to payments, players, virtual consumption, battles, the guild system, life simulation system, and dungeon. With the help of such data, you can design data-driven operations strategies and product optimization plans to improve the user gaming experience, attract more users, and boost revenue.

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4. Wealth of labels for user profiling and precise audience targeting

A large number of labels have been added, such as Device price and Inactive days.

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You can select a label to create an audience on a flexible basis, and then target users with optimal precision through such services as Push Kit, A/B Testing, Remote Configuration, and SMS, or view relevant reports to analyze behavior and attributes of users within a specific audience, in order to optimize your product and pursue precise operations.

Audience analysis of the new version is now in the gray release stage. For trial use, please submit a ticket online or send an email to hwanalytics@163.com.

5. Specifying a start or end event for session path analysis

Have you ever wondered whether users of your app follow expected paths, where they churn, how they behave within your app from entry to exit, and which paths they take most often lead to conversion? Session path analysis gives you the answers to all of these questions.

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With session path analysis in Analytics Kit 5.3.1, you can select events that can be involved for path analysis, and view user behavioral paths with the specified start or end event. For instance, to learn about the conversion path for user payment, set Payment completion as the end event, specify the events to be analyzed, and click Start analysis. By making use of the filter function, you can compare the path differences among users in different locations and acquired from different channels, so as to determine which optimizations should be made.

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Analytics Kit is dedicated to providing innovative services that are professional and easy to use. With its user-centric approach, Analytics Kit will continue to explore new methods for extracting the most value from data, and empowering enterprises with new capabilities.

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.