More information like this, you can visit HUAWEI Developer Forum
The HUAWEI DEVELOPER CONFERENCE 2020 (Together) saw the unveiling of HMS Core's HUAWEI Analytics Kit, which gained widespread attention among developers. Analytics Kit is a cross-platform and multi-device analysis platform which provides a range of services for mobile and web app developers.
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HUAWEI Analytics Kit, providing cross-platform and analysis services
App Service Sub-forum: HUAWEI Analytics Kit Keynote Speech
On September 11, the Product Executive of HMS Core's HUAWEI Analytics Kit spoke at an App Service sub-forum, to introduce global developers to the service's analysis capabilities. Features of HUAWEI Analytics Kit range from simplified SDK integration to intelligent product analysis, flexible event analysis, and rich multidimensional analysis reports. When combined, these allow developers, as well as product and operations personnel, to easily understand their users' behavior, and make informed decisions about how to market and optimize their apps.
HUAWEI Analytics Kit's Product Executive delivering his speech entitled Developing user growth strategies is easier with HUAWEI Analytics Kit
Free Cross-platform Services
During the keynote speech, the biggest highlight was arguably the fact that the Kit offers both cross-platform and multi-device analysis. With unified analysis of Android, iOS, and web products, product and operations personnel can view aggregated analysis reports for different platforms and devices, and drill down into analysis reports for certain platforms or devices. This means they can gain comprehensive insight into user behavior across different platforms and devices.
Diverse Analytics Models and Flexible Event Analysis
HUAWEI Analytics Kit can automatically collect more than 30 types of events, including app crashes, installations, uninstallations, updates, in-app purchases, and ad clicks. What's more, the Kit can generate dozens of multidimensional analysis reports based on more than 500 custom events, helping developers to customize events related to their services to comprehensively measure the performance of their apps.
The HUAWEI Analytics Kit capabilities introduced during the keynote speech
Flexible Audience Segmentation for Targeted Marketing
With HUAWEI Analytics Kit, developers can segment audiences by event and user attributes, or generate audiences based on retention analysis and funnel analysis, with one click. This helps them quickly implement hierarchical user operations.
HUAWEI Analytics Kit's refined audience segmentation
The generated audience can be used to set filtering conditions for each analysis report, which enables developers to analyze an audience's behavior features. Audiences can also be used by HUAWEI Push Kit, A/B Testing, and App Messaging for more precise marketing, closing the loop from insight to marketing.
Prediction Service
The keynote speech also saw HUAWEI Analytics Kit's Prediction Service being formally revealed. HUAWEI Prediction Service uses machine learning algorithms to predict which users are likely to be lost, and which are willing to pay, helping product and operations personnel plan activities to prevent user churn and improve payment conversion. Based on the prediction results, product and operations personnel can then use HUAWEI Push Kit, A/B Testing, and App Messaging to run refined operations across multiple scenarios.
Release of HUAWEI Analytics Kit's Prediction Service
Partner Speech - Data-Driven Intelligent Operations
Qiao Cheng, Chief Operating Officer of Now: Meditation, shared his experience of using HUAWEI Analytics Kit through a keynote speech entitled Identifying Valuable Users to Improve App Revenue.
A keynote speech by Now: Meditation, one of HUAWEI Analytics Kit's partners
According to Qiao Cheng, Now: Meditation has implemented differentiated operations and driven the growth of operation indicators based on user attributes, behaviors, and preferences provided by HUAWEI Analytics Kit. Qiao believed that thanks to HUAWEI Analytics Kit, they will hit a new record this year in terms of user operations.
In addition, Yang Jiasong, Operations Director of Tower Defense Empire, shared his experience of using HUAWEI Analytics Kit while working on Tower Defense Empire.
A keynote speech given by Tower Defense Empire, one of HUAWEI Analytics Kit's partners
"Thanks to HUAWEI Analytics Kit's real-time monitoring function, we can now see the number of new users in real time when testing assets, so we can adjust our assets as needed to improve the experience for new users", said Yang. By using the funnel function, Tower Defense Empire's developers could see how many new users they were attracting, observe the conversion status at each stage, and locate issues which were causing churn. They could also save the characteristics of their lost users as an audience for further research. According to Yang, HUAWEI Analytics Kit's filter and comparison analysis also helped them to perform user segmentation analysis and multi-dimensional drill-down analysis, so they could verify each version update.
The team at Tower Defense Empire believes that the analysis and application of data is indispensable to their continuous development. In addition to real-time analysis, funnel analysis, comparison analysis, and user lifecycle analysis, HUAWEI Analytics Kit also supports cross-platform and multi-device analysis, helping developers to focus on user insight and strategy optimization. Developers do not need to spend time on developing analysis systems and processing data, which means they can use this time for other tasks and be more efficient.
HUAWEI Analytics Kit Experience Area
In the HUAWEI Analytics Kit interactive experience area, developers were very interested in the Kit's powerful functions, which many felt would be very helpful to their businesses. Most expressed interest in integrating HUAWEI Analytics Kit, so they could take a more data-driven approach.
Experience area: a one-stop analysis platform, helping developers to efficiently analyze data and increase their business growth
Codelabs on Simplified Integration
In the Codelabs area, developers experienced HUAWEI Analytics Kit's simplified integration process, and learned how to debug data reporting online through real-time debugging functions, greatly enhancing their confidence in integrating HUAWEI Analytics Kit.
Codelabs area
In future, HUAWEI Analytics Kit will continue to focus on machine learning algorithms, intelligent one-stop marketing platforms, and 1+8+N all scenarios. HUAWEI Analytics Kit hopes to work with more developers and partners to build a digital innovation ecosystem, and lead the new era of all-scenario intelligence based on big data.
For more information about HUAWEI Analytics Kit, connect us via Customer Service or send an email to [email protected].
For more details, you can go to:
Our official website
Our Development Documentation page, to find the documents you need
Reddit to join our developer discussion
GitHub to download demos and sample codes
Stack Overflow to solve any integration problems
Very nice initiative by Huawei.
Related
HUAWEI Analytics Kit 5.2.0 offers a one-stop solution for enterprises that are digitalizing their operations, with scenario-specific applications, as well as comprehensive capabilities spanning data collection, management, analysis, and usage. The Kit is dedicated to high-precision new user acquisition, refined operations, and unlocking the full of data for a wide range of enterprises.
Highlights in Analytics Kit 5.2.0 include:
l The addition of channel analysis reports to comprehensively evaluate the number and quality of new users acquired via different app stores, for improved ROI.
l An enhanced install attribution function for distinguishing between paid traffic and organic traffic on an intelligent basis, and tracking app installation sources, for high-precision new user acquisition.
l The release of a wealth of user profile tags, supporting targeted operations and precision marketing.
l The addition of an SDK for quick apps, for cohesive cross-platform user behavioral analysis.
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1 Channel analysis to identify the number and quality of new users acquired via different app stores, for improved ROI.
Enterprises tend to release their apps across different app stores for more impressions, and to reach more users. Even as competition between mobile apps has intensified, we've learned to correctly evaluate the number and quality of new users acquired via different app stores, properly allocate budgets for each app store, and track the loyalty of users acquired via each app store, to boost ROI.
Channel analysis in Analytics Kit uses different data indicators and analysis models to precisely track data on key nodes for app usage from start to finish, as well as evaluate the number and quality of new users acquired via different app stores, helping you adjust your operations strategies accordingly.
To use channel analysis, all you have to do is add the meta-data parameter to the application block in the AndroidManifest.xml file. The sample code is as follows:
1
2
3
4
5
6
7
8<application
……
<meta-data
android:name="install_channel"
android:value="install_channel_value">
</meta-data>
……
</application>
Replace install_channel_value with the app installation source. For example, if the app is installed from HUAWEI AppGallery, replace this parameter value with AppGallery. After completing the configuration and releasing your app to each app store, you'll be able to view the data of each app store in terms of new users, active users, total users, and day-2 retentions of new users in the channel analysis report, as well as comprehensively evaluate the number and quality of new users acquired via different app stores.
Channel analysis can be used to analyze the data from channels such as HUAWEI AppGallery, as well as from Huawei devices. You can choose to configure other installation sources in the SDK and launch your app in a range of different app stores. Data from those app stores can also be obtained by Analytics Kit.
If through the report you find that the number of new users acquired via an app store is above average, but that the number of day-2 retentions of new users is far lower than on other app stores, you can then determine the cause for the low day-2 retention rate. To do this, compare the assets placed in this app store with those placed in other app stores, to exclude the possibility of misplaced materials and an incorrect placement time period. After doing this, you'll be able to prove that users acquired via this app store do not fall under the scope of target users, and that corresponding measures should be taken to reduce your investment in this app store.
In addition, the user behavioral characteristics in different app stores, for example, the preferred startup time, triggering frequency of a purchase event, and member level distribution of HUAWEI AppGallery users, can be analyzed in detail with the help of the user analysis, event analysis, and behavior analysis models.
2 Tracking app installation sources to target new users
Acquiring target users and determining the optimal channels for placement are high priorities for enterprises. Install attribution provided by Analytics Kit can distinguish between paid traffic and organic traffic, and track the marketing activities that cause new users to install your app. It enables you to view the number and proportion of users brought by each marketing channel, type of media, and task, and tailor marketing strategies to maximize value.
You'll need to design a promotional link based on the requirements outlined by HUAWEI AppGallery or HUAWEI Ads Kit, customize the UTM parameters (a set of parameters for tracking channel traffic), and configure the promotional link on Analytics Kit, before ultimately placing the link on the desired platforms. When a user clicks on the link to download the app, and opens it for the first time, the Analytics SDK will automatically call the API for HUAWEI AppGallery or Ads Kit to query the UTM parameters, and match the user with the suitable marketing channel, type of media, and task. An install attribution report is then generated.
* Principles of install attribution
* Example of the installation source configuration
In addition, you can create a promotional link for your app through App Linking, and customize UTM parameters to track the efficacy of the ad campaign. If a user who has installed the app clicks on the promotional link, the user will be redirected to the deep link specified by App Linking; if the user has not installed the app, the user will be redirected to the corresponding app store (or customized website) to install the app. After the app is installed, the user will be taken directly to the deep link upon opening the app.
The Analytics SDK automatically collects data related to the App Linking click event. If you create a promotional link through App Linking and set related tracking parameters, go to HUAWEI Analytics > Event analysis to view the multi-dimensional details related to the App Linking client event, including the marketing channel, marketing media, and marketing task name, for a comprehensive evaluation of how effective your ad or promotional activity has been.
3 Releasing user profile tags, for flexible and precise audience creation
Analytics Kit uses machine learning algorithms that are based on 30+ automatically collected events, 20+ automatically collected user attributes, and 10+ visualized data analysis reports, to release a wide range of user profile tags, such as app uninstalled, days since app uninstallation, average uses in last 7 days, first payment, with app account, consumption times in last 7 days, and consecutive active days.
You can flexibly select a tag to create an audience, and perform precise marketing with the help of other HMS services as well, including Push Kit, A/B Testing, Remote Configuration, and SMS marketing, or gain insight into behaviors and attributes of users within an audience based on other reports.
For example, if you want to improve the consumption frequency of paying users, you can select tags for paying users and consumption times tier in last 7 days, to create an audience consisting of paying users who have made relatively few purchases and who have not made any purchases over the previous seven days. Then, you can make use of functions like Push Kit and App Messaging to send out messages about coupons and the release of new products to the audience.
4 Supporting for quick apps
Quick apps are a new form of installation-free apps that have been well received by users due to their unique attributes, leading to reduced costs, a native experience, and high user retention rate. Many enterprises have launched quick apps of their owns, and to meet the requirements for comprehensive user behavioral analysis, Analytics Kit 5.2.0 offers an SDK for quick apps, in addition to the support for the Android, iOS, and Web platforms.
Analytics Kit 5.2.0 offers the following features, to ensure partners enjoy optimized data analysis products:
l Channel analysis and install attribution reports based on user requirements, resolving the challenge of user source tracking for new user acquisition.
l Wide-range of user profile tags for flexible audience creation and refined operations.
l Comprehensive user behavioral analysis on Android, iOS, Web, and quick apps.
With its user-centric approach, Analytics Kit will continue to explore new methods for extracting more 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
HUAWEI Analytics Kit 5.2.0 offers a one-stop solution for enterprises that are digitalizing their operations, with scenario-specific applications, as well as comprehensive capabilities spanning data collection, management, analysis, and usage. The Kit is dedicated to high-precision new user acquisition, refined operations, and unlocking the full of data for a wide range of enterprises.
Highlights in Analytics Kit 5.2.0 include:
l The addition of channel analysis reports to comprehensively evaluate the number and quality of new users acquired via different app stores, for improved ROI.
l An enhanced install attribution function for distinguishing between paid traffic and organic traffic on an intelligent basis, and tracking app installation sources, for high-precision new user acquisition.
l The release of a wealth of user profile tags, supporting targeted operations and precision marketing.
l The addition of an SDK for quick apps, for cohesive cross-platform user behavioral analysis.
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1 Channel analysis to identify the number and quality of new users acquired via different app stores, for improved ROI.
Enterprises tend to release their apps across different app stores for more impressions, and to reach more users. Even as competition between mobile apps has intensified, we've learned to correctly evaluate the number and quality of new users acquired via different app stores, properly allocate budgets for each app store, and track the loyalty of users acquired via each app store, to boost ROI.
Channel analysis in Analytics Kit uses different data indicators and analysis models to precisely track data on key nodes for app usage from start to finish, as well as evaluate the number and quality of new users acquired via different app stores, helping you adjust your operations strategies accordingly.
To use channel analysis, all you have to do is add the meta-data parameter to the application block in the AndroidManifest.xml file. The sample code is as follows:
Code:
<application
……
<meta-data
android:name="install_channel"
android:value="install_channel_value">
</meta-data>
……
</application>
Replace install_channel_value with the app installation source. For example, if the app is installed from HUAWEI AppGallery, replace this parameter value with AppGallery. After completing the configuration and releasing your app to each app store, you'll be able to view the data of each app store in terms of new users, active users, total users, and day-2 retentions of new users in the channel analysis report, as well as comprehensively evaluate the number and quality of new users acquired via different app stores.
Channel analysis can be used to analyze the data from channels such as HUAWEI AppGallery, as well as from Huawei devices. You can choose to configure other installation sources in the SDK and launch your app in a range of different app stores. Data from those app stores can also be obtained by Analytics Kit.
If through the report you find that the number of new users acquired via an app store is above average, but that the number of day-2 retentions of new users is far lower than on other app stores, you can then determine the cause for the low day-2 retention rate. To do this, compare the assets placed in this app store with those placed in other app stores, to exclude the possibility of misplaced materials and an incorrect placement time period. After doing this, you'll be able to prove that users acquired via this app store do not fall under the scope of target users, and that corresponding measures should be taken to reduce your investment in this app store.
In addition, the user behavioral characteristics in different app stores, for example, the preferred startup time, triggering frequency of a purchase event, and member level distribution of HUAWEI AppGallery users, can be analyzed in detail with the help of the user analysis, event analysis, and behavior analysis models.
2 Tracking app installation sources to target new usersAcquiring target users and determining the optimal channels for placement are high priorities for enterprises. Install attribution provided by Analytics Kit can distinguish between paid traffic and organic traffic, and track the marketing activities that cause new users to install your app. It enables you to view the number and proportion of users brought by each marketing channel, type of media, and task, and tailor marketing strategies to maximize value.
You'll need to design a promotional link based on the requirements outlined by HUAWEI AppGallery or HUAWEI Ads Kit, customize the UTM parameters (a set of parameters for tracking channel traffic), and configure the promotional link on Analytics Kit, before ultimately placing the link on the desired platforms. When a user clicks on the link to download the app, and opens it for the first time, the Analytics SDK will automatically call the API for HUAWEI AppGallery or Ads Kit to query the UTM parameters, and match the user with the suitable marketing channel, type of media, and task. An install attribution report is then generated.
* Principles of install attribution
* Example of the installation source configuration
In addition, you can create a promotional link for your app through App Linking, and customize UTM parameters to track the efficacy of the ad campaign. If a user who has installed the app clicks on the promotional link, the user will be redirected to the deep link specified by App Linking; if the user has not installed the app, the user will be redirected to the corresponding app store (or customized website) to install the app. After the app is installed, the user will be taken directly to the deep link upon opening the app.
The Analytics SDK automatically collects data related to the App Linking click event. If you create a promotional link through App Linking and set related tracking parameters, go to HUAWEI Analytics > Event analysis to view the multi-dimensional details related to the App Linking client event, including the marketing channel, marketing media, and marketing task name, for a comprehensive evaluation of how effective your ad or promotional activity has been.
3 Releasing user profile tags, for flexible and precise audience creationAnalytics Kit uses machine learning algorithms that are based on 30+ automatically collected events, 20+ automatically collected user attributes, and 10+ visualized data analysis reports, to release a wide range of user profile tags, such as app uninstalled, days since app uninstallation, average uses in last 7 days, first payment, with app account, consumption times in last 7 days, and consecutive active days.
You can flexibly select a tag to create an audience, and perform precise marketing with the help of other HMS services as well, including Push Kit, A/B Testing, Remote Configuration, and SMS marketing, or gain insight into behaviors and attributes of users within an audience based on other reports.
For example, if you want to improve the consumption frequency of paying users, you can select tags for paying users and consumption times tier in last 7 days, to create an audience consisting of paying users who have made relatively few purchases and who have not made any purchases over the previous seven days. Then, you can make use of functions like Push Kit and App Messaging to send out messages about coupons and the release of new products to the audience.
4 Supporting for quick appsQuick apps are a new form of installation-free apps that have been well received by users due to their unique attributes, leading to reduced costs, a native experience, and high user retention rate. Many enterprises have launched quick apps of their owns, and to meet the requirements for comprehensive user behavioral analysis, Analytics Kit 5.2.0 offers an SDK for quick apps, in addition to the support for the Android, iOS, and Web platforms.
Analytics Kit 5.2.0 offers the following features, to ensure partners enjoy optimized data analysis products:
l Channel analysis and install attribution reports based on user requirements, resolving the challenge of user source tracking for new user acquisition.
l Wide-range of user profile tags for flexible audience creation and refined operations.
l Comprehensive user behavioral analysis on Android, iOS, Web, and quick apps.
With its user-centric approach, Analytics Kit will continue to explore new methods for extracting more 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
Our official website
Demo for Analytics Kit
Our Development Documentation page, to find the documents you need:
Android SDK
iOS SDK
Web SDK
Quick APP SDK
If you have any questions about HMS Core, you can post them in the community on the HUAWEI Developers website or submit a ticket online.
We’re looking forward to seeing what you can achieve with HUAWEI Analytics!
More Information
To join in on developer discussion forums
To download the demo app and sample code
For solutions to integration-related issues
Checkout in forum
HUAWEI Analytics Kit 5.2.0 offers a one-stop solution for enterprises that are digitalizing their operations, with scenario-specific applications, as well as comprehensive capabilities spanning access, data management, analysis, and usage. The Kit is dedicated to high-precision new user acquisition, refined operations, and unlocking the full of data for a wide range of enterprises.
Highlights in Analytics Kit 5.2.0 include:
The addition of channel analysis reports to comprehensively evaluate the number and quality of new users acquired via different app stores, for improved ROI.
An enhanced install attribution function for distinguishing between paid traffic and organic traffic on an intelligent basis, and tracking app installation sources, for high-precision new user acquisition.
The release of a wealth of user profile tags, supporting targeted operations and precision marketing.
The addition of an SDK for quick apps, for cohesive cross-platform user behavioral analysis.
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1 Channel analysis to identify the number and quality of new users acquired via different app stores, for improved ROI.Enterprises tend to release their apps across different app stores for more impressions, and to reach more users. Even as competition between mobile apps has intensified, we've learned to correctly evaluate the number and quality of new users acquired via different app stores, properly allocate budgets for each app store, and track the loyalty of users acquired via each app store, to boost ROI.
Channel analysis in Analytics Kit uses different data indicators and analysis models to precisely track data on key nodes for app usage from start to finish, as well as evaluate the number and quality of new users acquired via different app stores, helping you adjust your operations strategies accordingly.
To use channel analysis, all you have to do is add the meta-data parameter to the application block in the AndroidManifest.xml file. The sample code is as follows:
<application
……
<meta-data
android:name="install_channel"
android:value="install_channel_value">
</meta-data>
……
</application>
Replace install_channel_value with the app installation source. For example, if the app is installed from HUAWEI AppGallery, replace this parameter value with AppGallery. After completing the configuration and releasing your app to each app store, you'll be able to view the data of each app store in terms of new users, active users, total users, and day-2 retentions of new users in the channel analysis report, as well as comprehensively evaluate the number and quality of new users acquired via different app stores.
Channel analysis can be used to analyze the data from channels such as HUAWEI AppGallery, as well as from Huawei devices. You can choose to configure other installation sources in the SDK and launch your app in a range of different app stores. Data from those app stores can also be obtained by Analytics Kit.
If through the report you find that the number of new users acquired via an app store is above average, but that the number of day-2 retentions of new users is far lower than on other app stores, you can then determine the cause for the low day-2 retention rate. To do this, compare the assets placed in this app store with those placed in other app stores, to exclude the possibility of misplaced materials and an incorrect placement time period. After doing this, you'll be able to prove that users acquired via this app store do not fall under the scope of target users, and that corresponding measures should be taken to reduce your investment in this app store.
In addition, the user behavioral characteristics in different app stores, for example, the preferred startup time, triggering frequency of a purchase event, and member level distribution of HUAWEI AppGallery users, can be analyzed in detail with the help of the user analysis, event analysis, and behavior analysis models.
2 Tracking app installation sources to target new usersAcquiring target users and determining the optimal channels for placement are high priorities for enterprises. Install attribution provided by Analytics Kit can distinguish between paid traffic and organic traffic, and track the marketing activities that cause new users to install your app. It enables you to view the number and proportion of users brought by each marketing channel, type of media, and task, and tailor marketing strategies to maximize value.
You'll need to design a promotional link based on the requirements outlined by HUAWEI AppGallery or HUAWEI Ads Kit, customize the UTM parameters (a set of 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 clicks on the link to download the app, and opens 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.
* Principles of install attribution
* Example of the installation source configuration
In addition, you can create a promotional link for your app through App Linking, and customize UTM parameters to track the efficacy of the ad campaign. If a user who has installed the app clicks on the promotional link, the user will be redirected to the deep link specified by App Linking; if the user has not installed the app, the user will be redirected to the corresponding app store (or customized website) to install the app. After the app is installed, the user will be taken directly to the deep link upon opening the app.
The Analytics SDK automatically collects data related to the App Linking click event. If you create a promotional link through App Linking and set related tracking parameters, go to HUAWEI Analytics > Event analysis to view the multi-dimensional details related to the App Linking client event, including the marketing channel, marketing media, and marketing task name, for a comprehensive evaluation of how effective your ad or promotional activity has been.
3 Releasing user profile tags, for flexible and precise audience creationAnalytics Kit uses machine learning algorithms that are based on 30+ automatically collected events, 20+ automatically collected user attributes, and 10+ visualized data analysis reports, to release a wide range of user profile tags, such as app uninstalled, days since app uninstallation, average uses in last 7 days, first payment, with app account, consumption times in last 7 days, and consecutive active days.
You can flexibly select a tag to create an audience, and perform precise marketing with the help of other HMS services as well, including Push Kit, A/B Testing, Remote Configuration, and SMS marketing, or gain insight into behaviors and attributes of users within an audience based on other reports.
For example, if you want to improve the consumption frequency of paying users, you can select tags for paying users and consumption times tier in last 7 days, to create an audience consisting of paying users who have made relatively few purchases and who have not made any purchases over the previous seven days. Then, you can make use of functions like Push Kit and App Messaging to send out messages about coupons and the release of new products to the audience.
4 Supporting for quick appsQuick apps are a new form of installation-free apps that have been well received by users due to their unique attributes, leading to reduced costs, a native experience, and high user retention rate. Many enterprises have launched quick apps of their owns, and to meet the requirements for comprehensive user behavioral analysis, Analytics Kit 5.2.0 offers an SDK for quick apps, in addition to the support for the Android, iOS, and Web platforms.
Analytics Kit 5.2.0 offers the following features, to ensure partners enjoy optimized data analysis products:
Channel analysis and install attribution reports based on user requirements, resolving the challenge of user source tracking for new user acquisition.
Wide-range of user profile tags for flexible audience creation and refined operations.
Comprehensive user behavioral analysis on Android, iOS, Web, and quick apps.
With its user-centric approach, Analytics Kit will continue to explore new methods for extracting more 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.
Does it shows data in real time?
Basavaraj.navi said:
Does it shows data in real time?
Click to expand...
Click to collapse
Hi, HMS Core Analytics Kit supports to show the data of past 30 min in real time. You can check more details of HMS Core Analytics Kit via this link: https://developer.huawei.com/consum...ntroduction-0000001050745149?ha_source=hmsxds
Thank you.
Likee leverages HMS to boost business development and reach 115 million monthly active users
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Social media has long been a ubiquitous presence in most mobile users’ digital lifestyle. There are more than 4.33 billion social media users in the world with 99% of them accessing the platforms via mobile. Needless to say, competition is at an all-time high especially for incumbents who have the technology to compete but are overshadowed by its older competitors.
Among these aspirational challengers is Likee, the short video creation platform that is making waves among mobile users globally and boasts cutting-edge video shooting and editing tools. Being a young company, they wanted a platform partner who could not only help them grow their userbase, but also offer the support they needed to enhance the overall user experience of the app.
Huawei was the ideal partner for Likee – the developer could not only onboard AppGallery, the top three app marketplaces globally, but also leverage the powerful HMS Core to improve on the app experience. As a result, the collaboration turned out to be overwhelmingly positive – the app was able to resolve its technical issues as well as grow the platform’s userbase to more than 115 million monthly active users.
"We are excited to work with Huawei and bring Likee to millions of AppGallery users,”Likee expressed .“The Huawei team not only demonstrated keen insights to our app, but also actively worked with our developers to further optimise the experience on Huawei devices. We are touched by this dedication, and we look forward to more opportunities down the road to work with Huawei again.”
Facilitating engagement with enhanced sign-up process
Prior to the partnership, both visitors and existing users had to go through a multi-step log in process before they could engage with the content on Likee. This wasn’t ideal especially for simple engagements such as editing a quick clip or even liking and commenting on a video, as the friction point risks user abandonment.
As such, the Likee team integrated the HUAWEI Account Kit which facilitates simple, secure, and quick sign-in. The Account Kit enables users to easily sign up or log in using their HUAWEI IDs, making the entire process effortless and seamless. It also offers multi-device support so that users can enjoy access across different active devices, providing outstanding convenience.
In addition, both Account Kit and HUAWEI ID are designed with users’ privacy in mind. The HMS Core capability supports two-factor authentication (2FA), and complies with GDPR as well as industry-standard protocols such as OAuth 2.0 and OpenID Connect. Similarly, HUAWEI ID, a service provided by Aspiegel across Europe, is awarded with the European Privacy Seal certification. With these security measures, Likee provides its users with a peace of mind which encourages adoption among them.
Delivering content to users efficiently and competently
Likee also integrated the HUAWEI Push Kit which provides Likee with a powerful push service that promises a message delivery rate of 99% within 10 minutes.
The Push Kit boasts a global coverage of more than 230 countries and regions, and a highly capable distribution channel that can handle upwards of tens of billions of messages. By leveraging its capabilities, Likee is empowered to notify users about the latest viral content on the platform in a timely and accurate fashion, incentivising users to revisit the app and facilitating greater user engagement.
Monetise traffic with quality and privacy in mind
Likee also adopted two additional HMS Core – the HUAWEI In-App Purchase (IAP) Kit and HUAWEI Ads Kit – to monetise its highly impressive app traffic.
The team at Likee was able to introduce a convenient and secure in-app payment method with the IAP Kit. With the HMS Core’s support for multiple mainstream payment methods, it creates convenience and facilitated greater volume of in-app transactions. In addition, all data involved are encrypted and anonymized, empowering Likee to provide users a safer payment environment which encourages users to make more in-app purchases.
Along the same vein, the Ads Kit offers Likee access to the HUAWEI Ads Publisher Service that enables it to display high-quality multimedia content across six distinct formats – such as Banner, Native Rewarded, Interstitial, Splash and Roll. The variety helps the developer to promote ads in novel ways, appealing to user and encouraging click-throughs
In addition, the Ads Kit uses the open advertising identifier (OAID) – a non-permanent device identifier – to help developers personalise the ads while protecting users’ privacy. The OAIDs can then be used by third-party tracking platforms to provide conversion attributions and improve the monetisation of the app. This results in a win-win situation where Likee users gain exposure to products and services that they are interested in, while the developer generates revenue to drive further app innovation.
AppGallery provides strong growth opportunities for all developers
The HMS Core integration, on all accounts, was a huge win for Likee. The team not only enhanced app features and added Quality-of-Life improvements, but they also achieved remarkable growth – the global userbase bloom to more than 115 million active users with a 30% jump in revenue. In addition, more than 80% of all Huawei users are using their HUAWEI IDs to access Likee, signalling the strong popularity of the Kit among the community.
The entire collaboration serves as a testament to Huawei’s technological capabilities as well as commitment to its partners. Throughout the partnership, Likee had access to a dedicated technical support team from Huawei that actively assisted with the technical process which allows the developer to finish the integration in just four weeks.
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About AppGallery – Top 3 Global App Marketplace
AppGallery is a smart and innovative ecosystem that allows developers to create unique experiences for consumers. Our unique HMS Core allows Apps to be integrated across different devices, delivering more convenience and a smoother experience – and this is part of our wider “1+8+N ”strategy at Huawei.
With the AppGallery, our vision is to make it an open, innovative app distribution platform that is accessible to consumers, and at the same time, strictly protect users’ privacy and security while providing them with a unique and smart experience. Being one of the top three app marketplaces globally, AppGallery offers a wide variety of global and local Apps across 18 categories including navigation & transport, news, social media, and more. AppGallery is available in more than 170 countries and regions with over 540 million monthly active users globally. Huawei partnered with 2.7 million developers across the globe, and in 2020 the total downloads from AppGallery have reached 384.4 billion times.
About HMS Core – Comprehensive Ecosystem Building Blocks Empowering App Development
HMS Core, a collection of open capabilities of Huawei Mobile Services, helps developers build high-quality apps efficiently.
HMS Core provides global developers with chip-device-cloud software and hardware capabilities across seven key fields, including app services, graphics, and media. These capabilities contribute to the building of a technically competitive HMS ecosystem, enable app innovations, boost development efficiency, and provide smart services that meet all conceivable user needs.
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.