Since providing reports for the game (including the trading card game and MMO game) and education (vocational and adult education) industries, Analytics Kit has garnered more and more attention. Just recently, Analytics Kit 6.2.0 was released, bringing even better data-driven operations.
Here's what's new about it:
Offered reports and event tracking templates for apps operating in shopping malls, real estate, and vehicle maintenance markets, acting as a one-stop solution for data reporting and analysis.
Added the event parameter attribution function in event attribution analysis, revealing how each parameter contributes to the target conversion event.
Added the on-cloud integration function in intelligent data access, allowing import of custom user attributes, supporting multi-dimensional user behavior analysis.
Added attribute-based user distribution to payment analysis and paid traffic analysis, keeping you informed about user quality from dimensions including channel and app version.
1. Expanded Industry Coverage, to Accelerate Industrial Digitalization
The 6.2.0 version is packed with analytical reports and event tracking templates for apps that operate in shopping malls, real estate, and vehicle maintenance markets.
Checking these reports is a simple process. First, sign in to AppGallery Connect. Then, go to HUAWEI Analytics > Intelligent data access > Tracing by coding. Select an industry. From hereon you can select event tracking templates as needed and complete tracking configurations as required.
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* Industries
Mall shopping: Available reports cover payment analysis, user analysis, product sales analysis, and product category analysis.
Together, they give a full picture of users' buying behavior and preferences for product categories, laying a data foundation for making informed marketing campaign plans.
* For reference only
House rental and purchase: The reports present data of users and homes, helping property platforms provide listings that best appeal to their users.
* For reference only
Vehicle maintenance: The reports show data related to vehicle services, vehicle sales, and community and after-sales.
By utilizing these reports, automakers are able to understand the sales volume and typically used after-services for popular vehicle models. This will help them understand what kind of services customers expect, in order to provide them with better value.
* For reference only
Support for Attribution Analysis of Event Parameters, to Identify the Effectiveness of Parameters Towards the Target Conversion Event
Events contribute differently to the target conversion event, and different parameters of the same event can also contribute differently to the target conversion event. Thanks to this new version, you can utilize the event attribution analysis function on parameters to identify how effective they are in converting users, helping you make informed decisions about how to improve the conversion rate.
* Attribution analysis
Import of Custom User Attributes for More Careful Analysis
The new on-cloud integration function in intelligent data access comes with an API, which gives you the power to import custom user attributes to Analytics Kit. While viewing a report, you can select and filter the attributes you care about most when analyzing user behavior.
* On-cloud integration
User Distribution by Attribute, to Shed Light on User Quality from Multiple Angles
Analytics Kit 6.2.0 saw upgrades to payment analysis and paid traffic analysis, adding user distribution analysis by attribute. This report displays differences in paid traffic and user payment under different attributes such as device model, marketing channel, and marketing media. Such data can be valuable for adjusting how resources are allocated and for improving operations efficiency.
* User distribution by attribute
These are the major highlights of Analytics Kit 6.2.0. To find out more, check out Version Change History. 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.
Jack Wu Shenzhen said:
Since providing reports for the game (including the trading card game and MMO game) and education (vocational and adult education) industries, Analytics Kit has garnered more and more attention. Just recently, Analytics Kit 6.2.0 was released, bringing even better data-driven operations.
Here's what's new about it:
Offered reports and event tracking templates for apps operating in shopping malls, real estate, and vehicle maintenance markets, acting as a one-stop solution for data reporting and analysis.
Added the event parameter attribution function in event attribution analysis, revealing how each parameter contributes to the target conversion event.
Added the on-cloud integration function in intelligent data access, allowing import of custom user attributes, supporting multi-dimensional user behavior analysis.
Added attribute-based user distribution to payment analysis and paid traffic analysis, keeping you informed about user quality from dimensions including channel and app version.
1. Expanded Industry Coverage, to Accelerate Industrial Digitalization
The 6.2.0 version is packed with analytical reports and event tracking templates for apps that operate in shopping malls, real estate, and vehicle maintenance markets.
Checking these reports is a simple process. First, sign in to AppGallery Connect. Then, go to HUAWEI Analytics > Intelligent data access > Tracing by coding. Select an industry. From hereon you can select event tracking templates as needed and complete tracking configurations as required.
View attachment 5404789
* Industries
Mall shopping: Available reports cover payment analysis, user analysis, product sales analysis, and product category analysis.
Together, they give a full picture of users' buying behavior and preferences for product categories, laying a data foundation for making informed marketing campaign plans.
View attachment 5404779
* For reference only
House rental and purchase: The reports present data of users and homes, helping property platforms provide listings that best appeal to their users.
View attachment 5404781
* For reference only
Vehicle maintenance: The reports show data related to vehicle services, vehicle sales, and community and after-sales.
By utilizing these reports, automakers are able to understand the sales volume and typically used after-services for popular vehicle models. This will help them understand what kind of services customers expect, in order to provide them with better value.
View attachment 5404783
* For reference only
Support for Attribution Analysis of Event Parameters, to Identify the Effectiveness of Parameters Towards the Target Conversion Event
Events contribute differently to the target conversion event, and different parameters of the same event can also contribute differently to the target conversion event. Thanks to this new version, you can utilize the event attribution analysis function on parameters to identify how effective they are in converting users, helping you make informed decisions about how to improve the conversion rate.
View attachment 5404785
* Attribution analysis
Import of Custom User Attributes for More Careful Analysis
The new on-cloud integration function in intelligent data access comes with an API, which gives you the power to import custom user attributes to Analytics Kit. While viewing a report, you can select and filter the attributes you care about most when analyzing user behavior.
View attachment 5404791
* On-cloud integration
User Distribution by Attribute, to Shed Light on User Quality from Multiple Angles
Analytics Kit 6.2.0 saw upgrades to payment analysis and paid traffic analysis, adding user distribution analysis by attribute. This report displays differences in paid traffic and user payment under different attributes such as device model, marketing channel, and marketing media. Such data can be valuable for adjusting how resources are allocated and for improving operations efficiency.
View attachment 5404787
* User distribution by attribute
These are the major highlights of Analytics Kit 6.2.0. To find out more, check out Version Change History. 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.
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Article Introduction
AppGallery Connect is dedicated to providing one-stop services for app creation, development, distribution, operations, and engagement, and building a smart app ecosystem for all scenarios.
HUAWEI Analytics Kit provides advanced analytics capabilities for AppGallery Connect, helping developers implement closed-loop management driven by data analytics, ranging from business insights to product improvements and operations execution. The Analytics Kit collects user behavior events and user attributes to help developers clearly understand user behavior models, thereby enabling user insights, product optimization, and data analysis-driven operations.
Features
Dashboard
The app overview centrally displays core metrics (such as new users and user activity) of the current app, and provides the entrances for event analysis and activity analysis, helping you quickly understand recent overall performance of your app.
Event Analysis
HUAWEI Analytics Kit provides various event analysis functions and supports preset events (including auto-collected events and predefined events) and custom events.
Reported event data is aggregated by event ID. You can view the event overview and event analysis details, such as the event trend and the distribution of models and operating system versions that are sources of events.
User Analysis
User analysis includes new user analysis, active user analysis, and startup times analysis. By analyzing users, you can understand the user royalty of a product and set activeness promotion strategies accordingly
User Lifecycle
User lifecycle refers to the entire process from the time when a user starts the app for the first time to that when the user leaves the app. The lifecycle of a user can be divided into the following phases: Beginner, Growing, Mature, Inactive, and Lost.
Operations personnel can perform user steering and refined operations on users based on user lifecycle analysis to improve user activeness and retention and reduce user churn.
User Behavior
Behavior analysis includes activity analysis, revisit analysis, and page analysis.
User activity is a key metric for product stickiness and health status. Through activity analysis, you can understand the dependency of users on your products.
In addition, you can analyze revisit users to understand the ability for operation campaigns or new product features to win back users.
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 strategies.
Attribution Analysis
Attribution analysis of in-app events measures the conversion contribution of to-be-attributed events (such as tapping a push message) to target conversion events (such as placing a purchase order). You can define target conversion events and to-be-attributed events, and select an attribution model to generate an attribution analysis report. The report helps evaluate the marketing channel conversion effect so that you can adjust your strategy in time.
An attribution model is a rule or a set of rules that determine how to assign sales and conversion contributions to contact points in the conversion path. For example, the Last event attribution model assigns 100% of contributions to the final contact point (that is, a tap) before sales or conversion, and the First event attribution model assigns 100% of contributions to the contact point that triggers the conversion path.
Audience Analysis
An audience is a group of users who have common attributes and behavior. You can perform insight analysis on audiences to understand which users are more likely to be attracted by your products. You can also customize operations strategies for different audiences to improve user experience and operations efficiency.
Path Analysis
Path analysis displays the behavior paths of users in apps and provides product managers and operations personnel with key data about user actions in apps and the process of leaving apps. For example, after a new version is released, users' recognition of new functions can be obtained through behavior path analysis. Alternatively, e-commerce operations personnel can use the path analysis function to obtain the churn rate of users in a certain step.
Funnel Analysis
The funnel analysis supports comparison based on a specific indicator. Currently, user attribute comparison, audience comparison, and industry comparison are supported. For example, you can compare the funnel conversion rates of different device brands or perform drill-down analysis for industry categories.
Retention Analysis
Retention is critical to app growth and operations. The retention rate represents users' continuous interest in products and is one of the main metrics for measuring the core value of products. Retention analysis helps you understand the continuous attractiveness of your product to users.
Real-time Analysis
HUAWEI Analytics Kit displays the counts and proportions of the hottest events, event parameters, and parameter values in real time. Real-time analysis helps product managers and operations managers understand the effect of marketing and product improvement.
The real-time analysis report page provides the automatic refresh function. After this function is enabled, the page is automatically refreshed every minute. If the function is disabled, you need to click the refresh button to refresh the page.
App Debugging
During app development, the product manager and technical team can cooperate with each other to perform the final debugging on data reporting, preventing tracing point omission and event attribute setting errors.
App Version Analysis
The app version analysis report gives you a knowledge of the app adoption rate, interaction, and stability, helping you optimize the version policy.
Meta Manage
You can manage events, user attributes, and pages in metadata management.
Analysis Settings
Setup
Available on NuGet: [[https://www.nuget.org/packages/Xamarin.Android.HMSAnalytics/)] this not the offical one this somthing i make it to make the integration
if you want to add them as DLL files You can refer to the prevese document to understand how to Add biding native lib and get the dll that you need to call this service
Install into your .NETStandard project and Client projects.
Please make sure you have Xamarin.Android.HMSAdditional and Xamarin.Android.HMSBase as a refernance
github Sample code https://github.com/omernaser/Huawei-Analytics
Platform Support Xamarin.Android
How To Use
You should add these lines to your MainActivity.cs
Code:
var config = AGConnectServicesConfig.FromContext(this);
config.OverlayWith(new HmsLazyInputStream(this));
Com.Huawei.Agconnect.AGConnectInstance.Initialize(this);
You should add agconnect-services.json to the assets Folder refer to the following link to get it https://developer.huawei.com/consumer/en/codelab/HMSAnalyticsKit/index.html#2
You can manage settings for advanced analytics on this page.
Eample Event:
Conclusion:
Huawei HMS Analytics is very helpful for developer while implementing HMS capabilities in android projects.
few line of code and you will get all the information that you need to understand your user behavior
Reference
https://developer.huawei.com/consumer/en/doc/development/HMS-Guides/3021001
https://developer.huawei.com/consumer/en/doc/development/HMS-Guides/3021002
https://developer.huawei.com/consumer/en/hms/huawei-analyticskit
Nice article. How much time it will take AGC console to reflect analytics data?
When it comes to app operations, wouldn't it be great if we could find out where new users come from, check the day-2, day-7, and day-30 retention rates of new users acquired from each channel, find out whether the payment conversion rates of new users vary according to the channel, and what can be done to improve the payment rate, repurchase rate, and other key conversion rates?
Analytics Kit 5.2.0 provides answers to all of the aforementioned questions and more, as well as offering solutions to enhance the conversion rates of new users, thanks to functions such as channel tracking and evaluation of channel resource delivery effects.
Status of channel resource delivery
With the fast-paced development of the mobile Internet and increasingly fierce industry competition, app promotion methods are becoming more diversified, and the cost of obtaining traffic keeps soaring. How to select the best channel and precisely acquire target users has become one of the top challenges.
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The app promotion process consists of six steps, of which the last two are of great significance, as they can tell us which marketing channels and media are most effective in acquiring new users every day, which marketing tasks attract the largest number of users, which types of ads attract the most users, and the top channels in terms of user retention.
Install attribution, which is a new feature in Analytics Kit 5.2.0, can analyze user sources, help operations personnel evaluate ad delivery effects, and enhance ROI, allowing you to perform precise user acquisition.
How to use install attribution
In order to use install attribution, you'll need to design a promotional link based on the requirements outlined by HUAWEI AppGallery or HUAWEI Ads Kit, customize the UTM parameters (for tracking channel traffic), and configure the UTM parameters in AppGallery Connect, before ultimately placing the link on the desired platforms. When a user taps the link to download the app, and launches it for the first time, the Analytics SDK will automatically call the API of HUAWEI AppGallery or Ads Kit to query the UTM parameters, and obtain the marketing channel, type of media, and task used to acquire this user. An install attribution report is then generated.
The detailed process is described as follows:
1. Create an app promotional link according to the requirements of HUAWEI AppGallery or Ads Kit and add UTM parameters.
The following link uses HUAWEI AppGallery as an example:
https://appgallery.cloud.huawei.com/appDetail?pkgName=pkgName&channelId=facebook&referrer=utm_source%3Dsocial%26utm_medium%3Dlink3%26utm_campaign%3DPR%0A&detailType=0&calltype=AGDLINK
2. Go to HUAWEI Analytics > Management > Install referrer in AppGallery Connect and configure your custom UTM parameters.
* Configuration example
3. When a user taps the link, the app download page is displayed. In this case, HUAWEI AppGallery or Ads Kit will record the user's UTM parameters.
4. When a user downloads the app through this link and launches it for the first time, the Analytics SDK will call the API of HUAWEI AppGallery or Ads Kit to obtain the user's UTM parameters and send them to the server for matching.
5. If the matching is successful, an install attribution report will be generated.
* Example of the install attribution report
Install attribution can distinguish between paid traffic and organic traffic, and precisely track sources of new users who install your app. It enables you to view the number and proportion of users acquired by each marketing channel, type of media, and marketing task, providing a foundation for tailoring marketing strategies and enhancing user retention.
Evaluating channel quality
In addition to the number of users acquired, the quality of traffic that a channel attracts is also highly important.
Traffic quality is evaluated in two aspects: retention and conversion. Analytics Kit is equipped with retention analysis for you to compare the retention rates of each channel, for example, day-2 or day-30 retention, so that you can clearly check whether the users acquired by each channel are your target users. As for conversion, if a channel stands out with a payment conversion rate higher than the average in spite of a small amount of traffic, you can decide to invest more resources in this channel. On the contrary, for channels with a large amount of traffic but a payment conversion rate lower than the average, you are advised to reduce the resource investment if the situation does not improve after a period of time, since these channels deliver a poor performance in terms of traffic quality.
* Data for reference only
Install attribution can be used in conjunction with other functions for you to achieve user growth and at the same time ensure high conversion rates.
1. Design a conversion funnel to locate the root cause of churn.
To enhance user loyalty and engagement, it is necessary to design reasonable marketing activities that cater to them. Clear knowledge of users' behavioral characteristics is indispensable in this process.
Analytics Kit supports both session path analysis and a filter function, allowing you to compare the path differences among users from various locations, using different phone brands, and acquired from different channels. This provides a way for you to check whether the actual user behavior path is consistent with the app design.
* Example of the session path analysis report
In the session path analysis report, select a key conversion event and observe the flow direction in previous and subsequent steps of the event to gain an insight into user conversion. If the conversion rate is lower than expected, save the corresponding event path as a funnel and conduct drill-down analysis using the filter in dimensions such as version number, location, device model, channel, and audience. By doing this, you can discover the factors that affect user conversion and design an optimization solution.
* Funnel analysis process
* Example of the funnel analysis report
2. Utilize the attribution model to analyze conversion contributions.
Apart from using the session path analysis and funnel analysis models to locate factors that affect the conversion rate, you can also analyze the contribution rate of each ad slot, marketing activity, and push notification to the target conversion event, summarize the most effective operations strategy for improving the conversion rate, and continuously adjust the operations strategy to promote user conversion.
Let's take an e-commerce app as an example. Its operations personnel adopt multiple methods (such as sending SMS messages, push notifications, and in-app messages) and a wide range of ad slots (including banners, splash screens, pop-up windows, and message bars) to enhance impressions. Users, however, may access the activity page through different entrances. Therefore, what method can be used to find out the most effective measures in promoting transactions?
Analytics Kit's event attribution analysis model can help you find out. Set the Purchase product event as the target conversion event, set events including Tap banner, Tap push notification, Tap pop-up window, and Tap splash screen as the to-be-attributed events, and set Attribution model to either First event attribution or Last event attribution. Once you have done this, the system will intelligently generate a visualized attribution analysis report.
The report paints a picture of the contribution of each to-be-attributed event to the target conversion event. With such data at hand, you'll be able to properly plan ad slot configuration and optimize your operations strategies accordingly, therefore continuously improving the user conversion rate.
About Analytics Kit:
Analytics Kit is a one-stop user behavior analysis platform for products such as mobile apps, web apps, and quick apps. It offers scenario-specific data collection, management, analysis, and usage, helping enterprises achieve effective user acquisition, product optimization, precise operations, and business growth.
For more details, you can go to:
Our official website
Demo of Analytics Kit
Android SDK integration documentation
iOS SDK integration documentation
Web SDK integration documentation
Quick app SDK integration documentation
Original Source
When it comes to app operations, wouldn't it be great if we could find out where new users come from, check the day-2, day-3, day-7, and day-30 retention rates of new users acquired from each channel, find out whether the payment conversion rates of new users vary according to the channel, and what can be done to improve the payment rate, repurchase rate, and other key conversion rates?
Analytics Kit 5.2.0 provides answers to all of the aforementioned questions and more, as well as offering solutions to enhance the conversion rates of new users, thanks to functions such as channel tracking and evaluation of channel resource delivery effects.
Status of channel resource delivery
With the fast-paced development of the mobile Internet and increasingly fierce industry competition, app promotion methods are becoming more diversified, and the cost of obtaining traffic keeps soaring. How to select the best channel and precisely acquire target users has become one of the top challenges.
The app promotion process consists of six steps, of which the last two are of great significance, as they can tell us which marketing channels and media are most effective in acquiring new users every day, which marketing tasks attract the largest number of users, which types of ads attract the most users, and the top channels in terms of user retention.
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Install attribution, which is a new feature in Analytics Kit 5.2.0, can analyze user sources, help operations personnel evaluate ad delivery effects, and enhance ROI, allowing you to perform precise user acquisition.
How to use install attribution
In order to use install attribution, you'll need to design a promotional link based on the requirements outlined by HUAWEI AppGallery or HUAWEI Ads Kit, customize the UTM parameters (for tracking channel traffic), and configure the UTM parameters in AppGallery Connect, before ultimately placing the link on the desired platforms. When a user taps the link to download the app, and launches it for the first time, the Analytics SDK will automatically call the API of HUAWEI AppGallery or Ads Kit to query the UTM parameters, and obtain the marketing channel, type of media, and task used to acquire this user. An install attribution report is then generated.
The detailed process is described as follows:
1. Create an app promotional link according to the requirements of HUAWEI AppGallery or Ads Kit and add UTM parameters. The following link uses HUAWEI AppGallery as an example:
https://appgallery.cloud.huawei.com/appDetail?pkgName=pkgName&channelId=facebook&referrer=utm_source%3Dsocial%26utm_medium%3Dlink3%26utm_campaign%3DPR%0A&detailType=0&calltype=AGDLINK
2. Go to HUAWEI Analytics > Management > Install referrer in AppGallery Connect and configure your custom UTM parameters.
* Configuration example
3. When a user taps the link, the app download page is displayed. In this case, HUAWEI AppGallery or Ads Kit will record the user's UTM parameters.
4. When a user downloads the app through this link and launches it for the first time, the Analytics SDK will call the API of HUAWEI AppGallery or Ads Kit to obtain the user's UTM parameters and send them to the server for matching.
5. If the matching is successful, an install attribution report will be generated.
* Example of the install attribution report
Install attribution can distinguish between paid traffic and organic traffic, and precisely track sources of new users who install your app. It enables you to view the number and proportion of users acquired by each marketing channel, type of media, and marketing task, providing a foundation for tailoring marketing strategies and enhancing user retention.
Evaluating channel quality
In addition to the number of users acquired, the quality of traffic that a channel attracts is also highly important.
Traffic quality is evaluated in two aspects: retention and conversion. Analytics Kit is equipped with retention analysis for you to compare the retention rates of each channel, for example, day-2 or day-30 retention, so that you can clearly check whether the users acquired by each channel are your target users. As for conversion, if a channel stands out with a payment conversion rate higher than the average in spite of a small amount of traffic, you can decide to invest more resources in this channel. On the contrary, for channels with a large amount of traffic but a payment conversion rate lower than the average, you are advised to reduce the resource investment if the situation does not improve after a period of time, since these channels deliver a poor performance in terms of traffic quality.
* Data for reference only
Install attribution can be used in conjunction with other functions for you to achieve user growth and at the same time ensure high conversion rates.
1. Design a conversion funnel to locate the root cause of churn.
To enhance user loyalty and engagement, it is necessary to design reasonable marketing activities that cater to them. Clear knowledge of users' behavioral characteristics is indispensable in this process.
Analytics Kit supports both session path analysis and a filter function, allowing you to compare the path differences among users from various locations, using different phone brands, and acquired from different channels. This provides a way for you to check whether the actual user behavior path is consistent with the app design.
* Example of the session path analysis report
In the session path analysis report, select a key conversion event and observe the flow direction in previous and subsequent steps of the event to gain an insight into user conversion. If the conversion rate is lower than expected, save the corresponding event path as a funnel and conduct drill-down analysis using the filter in dimensions such as version number, location, device model, channel, and audience. By doing this, you can discover the factors that affect user conversion and design an optimization solution.
* Funnel analysis process
* Example of the funnel analysis report
2. Utilize the attribution model to analyze conversion contributions.
Apart from using session path analysis and funnel analysis to locate factors that affect the conversion rate, you can also analyze the contribution rate of each ad slot, marketing activity, and push notification to the target conversion event, summarize the most effective operations strategy for improving the conversion rate, and continuously adjust the operations strategy to promote user conversion.
Let's take an e-commerce app as an example. Its operations personnel adopt multiple methods (such as sending SMS messages, push notifications, and in-app messages) and a wide range of ad slots (including banners, splash screens, pop-up windows, and message bars) to enhance impressions. Users can access the activity page multiple times through different entrances. Therefore, what method can be used to find out the most effective measures in promoting transactions?
Analytics Kit's event attribution analysis model can help you find out. Set the Purchase product event as the target conversion event, set events including Tap banner, Tap push notification, Tap pop-up window, and Tap splash screen as the to-be-attributed events, and set Attribution model to either First event attribution or Last event attribution. Once you have done this, the system will intelligently generate a visualized attribution analysis report.
The report paints a picture of the contribution of each to-be-attributed event to the target conversion event. With such data at hand, you'll be able to properly plan ad slot configuration and optimize your operations strategies accordingly, therefore continuously improving the user conversion rate.
About Analytics Kit:
Analytics Kit is a one-stop user behavior analysis platform for products such as mobile apps, web apps, and quick apps. It offers scenario-specific data management, analysis, and usage, helping enterprises achieve effective user acquisition, product optimization, precise operations, and business growth.
For more details, you can go to:
Our official website
Demo of Analytics Kit
Android SDK integration documentation
iOS SDK integration documentation
Web SDK integration documentation
Quick app SDK integration documentation
Sports and health apps are thriving as more and more people place greater value on their health and exercise. This has in turn increased traffic and brought more complex demands. To seize this opportunity and retain long-term users, what is needed is to perform precise operations.
To do so, a practical, industry-specific event tracking system is vital. It is the very start of data analysis and paves the way for data-based operations. In light of this, Analytics Kit offers the event tracking template for the sports and health apps, which provides E2E event tracking management, simplifying app development. Analytics Kit thereby facilitates event tracking and maximizes data value, driving sports and health apps towards digital transformation.
Intelligent Event Tracking1. Selecting a TemplateSelect Health of Sports and Health. The page displayed shows four templates: Behavior analysis, Account Analysis, Consumption Analysis, and Services and Other.
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* Template for sports and health apps
2. Configuring Event TrackingAnalytics Kit supports event tracking either by coding or through visual event tracking. Tracking by coding can be implemented by copying the sample code, downloading the report, or using the tool provided by Analytics Kit. Tracking by coding is relatively stable, and can collect and report complex data. Visual event tracking comes with lower costs and technical requirements, and allows the visual event to be modified and added after the app release. To use visual event tracking, you need to integrate Dynamic Tag Manager (DTM) first. You can then synchronize the app screen to a web-based UI and click relevant components to add events or event parameters.
* Configuring event tracking
3. Verifying the Tracking ConfigurationYou can use the verification function to quickly identify incorrect and incomplete configurations, as well as other exceptions in events and parameters once event tracking is configured for a specific template. With this function, you can configure event tracking more accurately and mitigate business risks.
* Verifying the tracking configuration
4. Managing Event TrackingThe management page presents the event verifications and registrations, the proportion of verified events to its maximum, as well as the proportion of registered parameters to its maximum. Such information serves as a one-stop management solution, giving you a clear understanding of event tracking progress and the structure of tracking configurations.
* Managing event tracking
CaseReleased in February, 2016, Now: Meditation has become a leading app dedicated to meditation and mental health in China. Its user retention rate and payment conversion have significantly improved since it utilized the event tracking template for sports and health apps provided by Analytics Kit. The template provides analysis reports containing various indicators and comparison analysis by different dimensions, giving an insight into how users used the app, identifying unusual payment conversion rates, and showing conversion rates of different channels. All of these can illustrate what attracts users to the app and what can be done to encourage users to make payments.
1. Understanding App Usage to Guide Product OptimizationAfter event-related data was reported, operations personnel of Now: Meditation checked them in the session path analysis report. The report clearly showed how users behaved in the app, what they did following each step, the steps where users churned, and the steps with an unexpected churn rate.
This powerful function enabled the personnel to find that most active users tended to check content related to improving sleep. Operations personnel concluded that this type of content was most popular among users. Consequently, in the updated version of the app, the product team adjusted the display level for this particular content. They also optimized push notifications by using A/B Testing and sent targeted notifications to audiences. One month after these measures were taken, the retention rate skyrocketed.
* Example of a session path analysis report
2. Analyzing the Reasons Behind UninstallationsAnalyzing why users uninstall an app has become a must. Few data analysis platforms, however, could perfectly meet this demand. Luckily, with the uninstallation analysis function in Analytics Kit, capturing app uninstallation events is no longer a daunting task thanks to the system-level broadcast capability. This function shows the uninstallation status and characteristics of users' pre-uninstallation behavior. With this information at your disposal, you'll be capable of finding the root reason behind uninstallation and better optimizing operations campaigns and the product.
The uninstallation analysis report of Now: Meditation clearly showed that before users uninstalled the app, they tended to engage in three events: tapping push notification, ad display, and performing searches. Operations personnel believed the reasons why users uninstalled the app were due to inappropriate frequency, timing, and incorrect audience for push notifications and ads. Other reasons include lack of informative course content and wrong course recommendations. Based on this assumption, the product team decided to send push notifications and ads less frequently, opting to send different notifications and ads to different audiences by using A/B Testing, and in accordance to user attributes. On top of this, the team also improved the course recommendation mechanism. These small changes have delivered a sense of personalization to users, which in turn has led to a significant drop in the uninstallation rate.
* Example of an uninstallation analysis report
3. Attributing Contribution Rates of Slots to Convert More UsersAn app tends to have different banners, icons, and content, designed to induce VIP members toward making purchases. This leads to some questions: what is the difference in how much each slot and marketing campaign contributes to payment conversion? How to optimize the combination of slots? And how to allocate resources to them more reasonably?
In order to answer these questions, the operations personnel of Now: Meditation used the event attribution analysis and marketing attribution analysis models in Analytics Kit. With these models, they were able to evaluate the user attraction and conversion effects of slots by week and month and check how push notifications contributed to user conversion. Let's take the analysis of the home screen slots as an example. The operations personnel used event attribution analysis to conduct an analysis of the slots. They chose Payment completed as Target conversion event and selected Push notification tapping, Pop-up window tapping, Splash ad tapping, Banner tapping, Searching, Checking exclusive content, and Checking popular courses as To-be-attributed event. They then chose Last event attribution as Attribution model. The following day, the report showed how much each slot contributed to the target conversion event. With this information, the personnel then adjusted how traffic and marketing campaigns were allocated to slots. As a result, they could effectively plan resource allocation.
* Example of attribution analysis
4. Establishing a Churn Warning System to Win back Inactive and Lost UsersWhat's the top concern of apps now? Undoubtedly, it's how to retain users. In the case of Now: Meditation, operations personnel used retention analysis and revisit users analysis to reveal the causes behind user churn. The personnel then used the user lifecycle analysis function to save inactive and lost users as an audience. Once this audience was created, they analyzed the scale of such users, their ratio in all users, their behavior characteristics, the phase from which they turned, and whether they came from a specific channel. With such information, the personnel prioritized which audiences they should attempt to win back. Then, they tried to engage users through ads, push notifications, SMS messages, and e-mails according to users' interest, benefits, and emotions. By the end of this, they established a complete churn warning and user winback system.
* Example of a user lifecycle analysis report
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.
Does it support the gaming application as well?
how we can check uninstallation.
Basavaraj.navi said:
Does it support the gaming application as well?
Click to expand...
Click to collapse
Hi, HMS Core Analytics Kit provides Game Industry Analysis Reports for the gaming applications. You can check this article published early: https://forum.xda-developers.com/t/...ry-analysis-reports-in-analytics-kit.4320363/
You can also access our official site for more details: https://developer.huawei.com/consumer/en/hms/huawei-analyticskit?ha_source=hmsxds
lokeshsuryan said:
how we can check uninstallation.
Click to expand...
Click to collapse
Hi, there's Uninstallation Analysis provided by HMS Core Analytics Kit. You can check this article published early: https://forum.xda-developers.com/t/...lation-analysis-to-reduce-user-churn.4305551/
You can also access our official site for more details: https://developer.huawei.com/consumer/en/hms/huawei-analyticskit?ha_source=hmsxds
Which marketing task or channel attracts the most users?
How active are the users acquired from paid traffic? How about their retention rate?
Which marketing task attracts users who add the most products to the shopping cart and place the most orders?
If you're unable to answer any of these questions, use HMS Core Analytics Kit to find out. As an ad conversion tracking tool, Analytics Kit helps you monitor all events involved with an ad marketing activity, including impression, clicking, downloading, app launch, registration, retention, adding to favorites, adding products to the shopping cart, placing orders, starting check-out, completing a payment, and re-purchasing. In this way, Analytics Kit saves you from the hassle of data collection and sorting, helping you monitor marketing effects. Then, you can quickly identify high-quality users and focus on optimizing your ad placement strategies.
Specifically speaking, Analytics Kit comes with the following advantages:
Efficient attribution by sending back data conveniently: seamlessly working with HUAWEI Ads to send back in-app conversion events conveniently for more efficient attribution, thus optimizing both placement costs and user acquisition efficiency.
Industry-customized analysis with multi-dimensional indicators: exploring industry pain points to provide systematic event tracking solutions for the e-commerce industry, as well as deep interpretation of various core indicators, for a one-stop growth solution that serves e-commerce apps.
Rich tags for precise user grouping: offering events and tags that can be flexibly used together, for accurate user grouping. Meanwhile, AI algorithms are used to predict users with a high probability to pay or churn, improving your operations efficiency and gross merchandise volume (GMV).
Paid traffic identification and clear display of channel conversion performance with data: offering the marketing attribution analysis function. It can distinguish between paid traffic and organic traffic. The paid traffic analysis report of the kit helps you analyze and gain insight into different groups' conversion differences. On top of these, the report provides comprehensive data to help you measure different channels' retention and payment conversion differences, find high-quality channels, allocate marketing resources properly, and optimize placement strategies.
In-depth insight for refined operations: covering the entire user lifecycle and multiple service scenarios, and providing various analysis models covering retention, path, and funnel to help implement data-driven refined operations.
Cross-platform and multi-device analysis: detecting user behavior on Android, iOS, and web, for specialized and comprehensive evaluation.
Scenario 1: Analyzing the Conversion Contribution Rates of Different Marketing Channels and Marketing Tasks to Optimize Resource Allocation and Improve ROI
All these can be done easily with the help of Analytics Kit. After necessary configurations on the cloud platform of Analytics Kit, the conversion events can be sent back to HUAWEI Ads in real time, requiring no complicated coding work. Then, you can view the number of conversions brought by each ad task in HUAWEI Ads, and turn to Analytics Kit for further analysis on the conversion contribution of each marketing channel and marketing task. For example, you can view which channel has the highest order placement rate. Analytics Kit tells the business value contributed by users brought by a task, which enables you to estimate the future conversion quality of the task and then determine whether to adjust your placement strategies.
Recommended Function: Marketing Attribution Analysis
Marketing attribution analysis displays the accurate contribution distribution of to-be-attributed events in each conversion. You can use this function to learn about the contribution rates of marketing channels or marketing tasks to measure their conversion effects and optimize resource allocation. For example, after analyzing the contribution proportion of order placement events caused by different tasks of the same channel, you can continuously perform tasks with high conversion contribution rates, and reduce tasks with low conversion contribution rates.
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Scenario 2: Building Paid Traffic Profiles to Gain In-depth Insight into High-Quality Users
If you are wondering how many new users your marketing activities bring in every day and how much users acquired from paid traffic pay in your app, Analytics Kit can be a good tool. You can view the number of new users, active users, and paying users acquired from paid traffic to measure the quality of users brought by marketing activities effectively.
Recommended Functions: the New User and Paid Traffic Analysis Reports
Go to HUAWEI Analytics > User analysis > New users to view the analysis report of new users, including the trend and details of those acquired from paid traffic. You can also gain holistic insight into users acquired from paid traffic by performing drill-down analysis with filters and the comparison analysis function of Analytics Kit.
Furthermore, the paid traffic analysis report displays indicators concerning paid traffic, including the numbers of new users, active users, and paying users, payment amount, new user retention, and active user retention. These indicators help you analyze the subsequent behavior of users acquired from paid traffic.
Scenario 3: Tracking Users' In-app Behavior to Adjust Marketing Plans and Strategies in Time
To verify operations strategies and guide iterations for your e-commerce app, you need to clearly understand behavior paths of users in your app. By monitoring and analyzing their behavior in your app, you can learn about their characteristics from multiple dimensions and accurately customize strategies to attract, activate, retain and recall users.
Recommended Functions: Event Analysis, Page Analysis, Session Path Analysis, Uninstalls Analysis, and Payment Analysis
The process from app sign-in to successful payment usually goes through multiple steps, including homepage browsing, product search, details page browsing, adding to shopping cart, submitting an order, and making a payment. Users, however, may not follow a set procedure when making an actual purchase. For example, after submitting an order, user may return to the homepage to continue their search or cancel the order.
In this case, you can combine the session path analysis model with other models for drill-down analysis, guiding users to a better path or the one expected by the app designer.
How to Select the Conversion Tracking Mode to Promote Your Product
If your product is in form of both app and web page, you can combine Analytics Kit and DTM from HMS Core to implement conversion tracking easily. Meanwhile, you can use Analytics Kit to view the subsequent behavior analysis of users acquired from paid traffic and the attribution analysis of different marketing channels and tasks.
Click here to integrate Analytics Kit for a better ad placement experience now. For information about other refined operation scenarios, visit our official website.