New Features
Supported collection of API call statistics on the device side.
Supported unified domain names for open APIs.
Modified Features
Supported calculation of incremental audiences in real time based on real-time access events. The calculation result can be directly used for services such as A/B Testing, In-App Message (IAM), and Push.
Added potential forecast and churn forecast to beginner analysis in the user lifecycle model.
Added tracking and analysis of event parameters to the funnel analysis model for refined operations.
Supported management and deletion of debugging devices for the app debugging function.
Supported filtering of data reported by the devices that have reported data in Debug mode from all analysis reports.
Supported startup times analysis and startup time period analysis for the startup analysis function.
Enhanced the attribution analysis function.
Optimized the event metadata query interface.
Added KPI description and optimized the UI for the page analysis function.
Optimized the process of enabling the analytics service.
Optimized filters for the event analysis function.
Optimized the UI of the Save and Help buttons on the custom overview page.
Optimized event parameter management.
Optimized the menu bar.
| Level-1 Menu | Level 2 Menu | Level-3 Menu | Original |
|---|---|---|---|
Analyze | Overview | App Overview | Dashboard - App overview |
Analyze | Overview | Custom dashboard | Dashboard - Custom dashboard |
Analyze | Overview | Real-time monitoring | Real-time analysis |
Analyze | User analysis | New users | User analysis - New users |
Analyze | User analysis | Active users | User analysis - Active users |
Analyze | User analysis | Return users | User Behavior - Revisit analysis |
Analyze | User analysis | Distribution by version | App version analysis |
Analyze | User Behavior | Event analysis | Event analysis |
Analyze | User Behavior | Page analysis | User Behavior - Page analysis |
Analyze | User Behavior | Launch analysis | User Analysis - Startup times |
Analyze | User Behavior | Session path analysis | Path analysis - Session path |
Analyze | User Behavior | Activity analysis | User Behavior - Activity analysis |
Analyze | Audience analysis | N/A | Audience analysis |
Analyze | User lifecycle | Overview | User lifecycle - Overview |
Analyze | User lifecycle | Beginner | User lifecycle - Beginner |
Analyze | User lifecycle | Growing | User lifecycle - Growing |
Analyze | User lifecycle | Mature | User lifecycle - Mature |
Analyze | User lifecycle | Inactive | User lifecycle - Inactive |
Analyze | User lifecycle | Lost | User lifecycle - Lost |
Analyze | Funnel analysis | N/A | Funnel analysis |
Analyze | Retention analysis | New user retention | Cohort Retention - New user retention |
Analyze | Retention analysis | Active user retention | Cohort Retention - Active user retention |
Analyze | Attribution analysis | N/A | Attribution analysis |
Analyze | Manage | Events | Manage - Event |
Analyze | Manage | User attributes | Manage - User attributes |
Analyze | Manage | Pages | Manage - Pages |
Analyze | Manage | Export data | Manage - Data export |
Analyze | Manage | App debugging | App debugging |
Analyze | Manage | Analysis settings | Analysis settings |
Analyze | Manage | Apps | No (This page is newly added.) |
New features:
1. Added the user lifecycle prediction function for lifecycle analysis.
2. Added the function of creating audiences through intersection, union, and difference calculation.
3. Added the function of automatically collecting AppLinking events.
4. Added the function of automatically collecting InAppMessaging events.
5. Added the function of automatically collecting entry and exit Fragment events.
6. Added the function of exporting event data. The exported data can then be imported into developers' analysis systems to customize reports and audiences. This helps personalized analysis and marketing activity creation.
7. Added the function of importing customized user attributes from the cloud.
Optimized features:
Optimized the preset events of e-commerce apps.
Optimized the method of creating audiences by using numeric fields to perform aggregation calculation.
Optimized SDK result codes.
Optimized the attribution analysis report.
Optimized the industry analysis capability to support industry trend analysis and industry category drill-down analysis.
Optimized the comparison analysis capability.
Optimized the session path analysis capability to support viewing path analysis reports of specific events.
New Features:
1. Supported the session-based path analysis function to present user behavior statistics in a Sankey diagram, helping analyze the sources and destinations of users in apps and gain insight into their motives.
2. Provided the user lifecycle model to analyze the user growth and conversions at every stage of the lifecycle, helping accurately detect the most effective user attraction channels, increase user engagement, and fuel the growth of high-value users.
3. Supported comparative analysis on active users, new users, funnels, retention of new users, and retention of active users.
4. Added the Industry benchmark card on the App overview page to show the comparisons between key operations indicators of your app between industry standards, helping evaluate the level of your app in the industry and providing you with solid data support for your app improvement.
5. Added the function of analyzing the number of startup times.
6. Added the Revenue card on the App overview page to analyze sales revenue and Average Revenue Per Paying User (ARPPU).
7. Added the system-level user attribute: last interaction time.
8. Provides the React Native SDK for apps developed based on the React Native framework to integrate HUAWEI Analytics Kit.
9. Automatically collects ad-related events of apps that provide ad slots.
Modified Features:
Optimized the new user analysis report by adding the total number of app users.
New features:
1. Users in retention analysis can be saved as audiences so that you can perform in-depth personalized analysis on or push messages to new retained users and active retained users in a specified period.
2. You can save the inflow and outflow users in the funnel analysis as audiences. In this way, you can perform in-depth personalized analysis on the users who flow in to or out of the funnel at a certain step within a period of time or push messages to the users.
3. Users can be identified by ID. (In earlier versions, users can only be identified by device.)
The user identification method greatly affects the accuracy of user behavior analysis, especially the user-related analysis functions such as funnel, audience, and retention analysis.
4. The default event analysis cards can be displayed as required so that you can find what you want quickly.
5. Crash indicators, including the number of crashes, number of affected users, and crash rate, are added to the app version analysis report to help you collect statistics on the stability of each version.
6. Page analysis is supported.
By analyzing the access trend, access depth, and stay duration of different pages in an app, you can determine the importance of each page and provide data support for page optimization.
Optimized features:
The UIs that present the event analysis report, audience analysis report, funnel analysis report, and app version analysis report are optimized to improve user experience.
Device models are displayed using their marketing names, which improves the readability of the analysis report.
The description of parameters on the page for enabling the analytics service is optimized.
Three predefined funnel templates are provided, including the registration conversion funnel, e-commerce conversion funnel, and search conversion funnel. You can use any of these templates to create a funnel.
On the app debugging page, necessary information is added for the scenario where the AAID is not collected, helping you quickly resolve the problem.
The percentage of a specific item in all related items (for example, the percentage of devices of a specific model in all devices) is added for parameter analysis in event analysis.
The App overview page is redesigned, including adding the User features card, deleting the New user features and Active user features cards, and optimizing the UI design.
The data export and deletion capabilities are optimized based on the GDPR.
New features:
1. The attribution analysis function is launched.
The attribution analysis of an in-app event is used to measure the contribution of a to-be-attributed event (for example, a push message tap event) to the target conversion event (for example, a purchase event). You can define target conversion events and to-be-attributed events and select an attribution model to generate an attribution analysis report. This helps identify the marketing channel conversion effect and adjust policies in a timely manner.
2. The Crash analysis and Real-time analysis cards are added on the App overview page.
3. Three types of push events are automatically collected, including push message display event (DISPLAYNOTIFICAITON), push message tap event (CLICKNOTIFICATION), and push message clear event (CLEARNOTIFICATION).
4. HUAWEI Analytics Kit can be integrated with A/B Testing and Remote Configuration.
5. Four system-level events can be automatically collected, including app installation (INSTALLAPP), app uninstallation (UNINSTALLAPP), data clearing (CLEARDATA), and cache clearing (CLEARCACHE).
6. HUAWEI ID sign-in (SIGNIN) and sign-out (SIGNOUT) events can be automatically collected.
7. The metadata management function is added. You can manage events and user attributes on the metadata management page.
Optimized features:
The data storage location settings are optimized.
The link to the help document is added on the UI, and the dashboard customization function is optimized.
You can set the data retention period, which can be 6 months, 9 months, or 14 months. The data will be deleted after the retention period expires.
The method of managing event metadata and attribute metadata is optimized. Batch import is supported.
Analysis reports in tables can be exported for further analysis.
The function use tips and table/chart UI design are optimized.
New features:
1. The app overview page is provided to present core data indicators of the app in a centralized manner, helping you quickly learn about the overall performance of the app.
2. The app version analysis function is launched. The app version analysis report helps you understand the app adoption rate (that is, users who install the latest version/all users of the app), interaction, and stability, helping you optimize the version policy.
Optimized features:
The app debugging function allows users to select a to-be-debugged device by name.
The description of some indicators is optimized, improving user experience.
New features:
1.The Android SDK is launched.
2. You can determine whether to enable Analytics Kit.
3. The configuration function is provided to manage Analytics Kit settings.
4. User-defined events can be managed.
5. Custom user attributes can be managed.
6. The app debugging function is launched. During app development, the product manager and technical team can cooperate with each other through app debugging to perform the final debugging on data reporting, preventing tracing point missing and event attribute setting errors.
7. Real-time analysis is supported. The counts and proportions of the hottest events, event parameters, and parameter values are displayed based on real-time events that are reported. Real-time analysis helps product managers and operations managers understand the effect after marketing and product improvement.
8. The event analysis function is provided. Preconfigured events (including auto-collect events and predefined events) and custom events are supported. The reported event data is aggregated by event ID. You can view the event overview and event analysis details.
9. Custom parameter reports are supported.
10. The behavior analysis function, including activity analysis and revisit analysis, is provided to help you understand the dependency of users on products and the capability of retaining users through operations activities or new product features.
11. The audience analysis function is launched. By analyzing audiences, you can understand the attractiveness of your product to users and formulate different operations policies for different audiences to improve user experience and operations efficiency.
12. The funnel analysis function is launched. By customizing user behavior funnels, you can analyze the conversion rate of key steps in services and identify key nodes that affect user experience and conversion, providing a basis for product optimization.
13. The retention analysis function is launched. The retention rate indicates users' continuous interest in a product and is one of the main indicators for measuring the core value of the product. Through retention analysis, you can understand the continuous attraction of your product to users.
14. The dashboard customization function is launched. You can display some core indicators in a report as required to quickly learn the data of an app.
15. Audiences can be opened up for the HUAWEI Cloud Message (HCM) service, and messages can be pushed to these audiences you create.
16. HUAWEI Analytics Kit complies with the GDPR.