The shift from acquiring new users to retaining existing users in the automotive industry means that automakers need to innovate their brands and improve their relationship with users, to boost growth and realize their digitalization strategies.
By aligning with this shift, Analytics Kit 6.2.0 has just recently provided reports, event tracking templates, and sample code for the automotive industry. The kit provides reports covering vehicle services, vehicle sales, and community and after-sales, offering an array of industry-wide data. With this data, companies in this industry can enhance user experience and stay competitive.
Indicator-Laden Reports, for Better Operations
1. Data Overview: Offers Key Operations Indicators
The Data overview report presents data concerning basic operations indicators such as the number of users that are registered, new, active, and paying, giving a broad view of app operations. This report also displays data related to mall revenue and vehicle models. They enable the operations team to understand the revenue and distribution of bound vehicle models, and thereby can adjust services and operations strategies for major models.
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* Data overview
2. Reports of Vehicle Services & Vehicle Sales: Provide Insights into User Needs
To remain competitive, an automaker needs to go beyond just selling vehicles. It should be oriented by users, furnishing them with one-stop services that encompass vehicle selection, purchase, driving, upgrade, and maintenance. Data related to these can be found in the vehicle sales and service reports, helping automakers understand clearly what users need by presenting user data concerning their characteristics, driving habits, and model preferences.
The Vehicle services report presents data on the distribution of vehicle models bound by app users, service usage, maintenance reservations, and vehicle loss reports. With such information at their disposal, automakers can improve their maintenance services and personalize service recommendations to users.
* Vehicle services report
The Vehicle sales report illustrates the vehicle buying preferences of users, with data covering the sales volumes of vehicle models, vehicle sales volumes in different locations, number of vehicle purchase orders, distribution of users who request and do not request a financial solution, and distribution of selected financial products. With such data available, automakers can make informed decisions when adjusting the product mix of their malls. They can also realize precision marketing by recommending different vehicle models to users according to their locations and model preferences.
* Vehicle sales report
3. Report of Community and After-Sales: Helps Strengthen User Loyalty
A dedicated app community is a positive step to retaining users. A community allows users with similar needs or preferences to interact with each other. They will likely use the app for longer periods and are more likely to enjoy extra app features.
The Community and after-sales report focuses on data related to user engagement and feedback. Data on voucher recipients and voucher users highlights how many users interact with promotion campaigns, helping identify price-sensitive users. The trends of community members are evident through data that analyzes active community users, active users in each community section, distribution of sections that new posts belong to, post sharing channels, and the average number of times each user contacts customer service. Using this report, automakers can locate what their users' are really concerned about for better user-oriented services.
* Community and after-sales report
Out-of-the-Box Templates
The reports for the automotive industry come with event tracking templates, and the events and their parameters can be chosen as required, allowing you to add your own custom events and parameters. Report previews and sample code are also available, which are updated in real time. In a word, you can configure event tracking according to your actual needs. By easing integration and event tracking configuration, verification, and management, Analytics Kit boosts the efficiency and accuracy of event tracking.
* Configuring event tracking
What sits at the heart of turning traffic into value is paying attention to and then satisfying users' needs. Automobile manufacturers and dealers can use analytical models in Analytics Kit to fully understand data at hand for precise operations, improved user loyalty, and increased business performance. For example, they can refer to payment analysis and audience analysis to understand what events or scenarios most frequently lead to payments. They can then take measures to interact with users under appropriate scenarios to improve the payment conversion rate.
To learn more, click here to get your free trial of the demo, or visit our official website to access the development documents for Android, iOS, Web, and Quick App.
Does it support a Hybrid applications?
Basavaraj.navi said:
Does it support a Hybrid applications?
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Click to collapse
Hi, Hybrid Apps are supported. kindly check this link for Calling Device APIs on an HTML5 Page Using JavaScript in Hybrid Mode, thank you.
Document
developer.huawei.com
Thanks for sharing
Why does the server return error code 402, when data fails to be reported?
ReboLangos said:
For what type of businesses these analytic kits are good?
Click to expand...
Click to collapse
Hi, you can use HMS Core Analytics Kit as long as your app or business requires data analysis. Check out more at https://developer.huawei.com/consumer/en/hms/huawei-analyticskit?ha_source=hmsxds.
Have a nice day!
Related
More information about HDC, you can visit HUAWEI Developer Forum
At the HDC.Together 2020 conference, HUAWEI Dynamic Tag Manager (DTM) received widespread attention thanks to its flexible and efficient mobile app and website data tracking functionalities, and the fact it does not require coding. It is also cost-efficient and supports multiple analytics platforms.
Tag managers help developers deploy and organize the tags on their websites or apps, so third-party data analytics platforms can collect and share the data they need. They can solve the issue of website and app performance deteriorating due to too many tags being deployed.
"DTM may be the first tool in the industry to enhance a tag management system (TMS) by adding visual event tracking. The usability of visual event tracking, combined with the flexibility of TMS, make DTM both efficient and flexible, and will empower enterprises to achieve rapid growth through digital marketing. Thanks to its user-friendly portal, enterprise marketing personnel can dynamically update tags and easily track specific visual events, so they can stay on top of their marketing data without needing to code."
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DTM's Product Manager demonstrated its functions by using an example:
After delivering an ad through a range of media channels, an enterprise marketing team needs to analyze its performance by looking at metrics such as purchases and subscriptions. This enables them to see which channels were most successful, so they can optimize their ad delivery to achieve the best results at the lowest possible cost.
Traditionally, this would require the enterprise to modify its app code to track specific events.
This creates the following challenges:
1. Heavy workload: The enterprise would need to integrate multiple SDKs if it wants to use multiple analytics platforms.
2. Long period: To modify the conditions and rules for sending data to meet different marketing requirements, the enterprise would need to modify the app's code and then release an update, which is usually time-consuming.
3. High cost: To send data to multiple analytics platforms, the enterprise would need to maintain multiple sets of code.
These challenges undermine the efficiency, flexibility, and results of digital marketing. HUAWEI DTM can help enterprises to easily overcome these challenges.
DTM offers a simple and reliable tag management solution that is free and easy to integrate, allowing developers to flexibly manage their tags without the hassle of coding.
Advantages of DTM:
① Dynamically adjust data reporting rules, without having to release updates
Generally, enterprises carry out marketing activities more frequently than they release app updates. This means that if their marketing activity data monitoring is reliant on app updates, they will need to frequently modify their app's code, and then wait until the next app update before their changes will take effect. As a result, they may miss out on the best marketing time window. With DTM, they can do all of this from an easy-to-use DTM portal. It requires no coding, and their changes will take effect straight away, without them needing to release an app update.
② Everything is faster
Enterprises can configure rules for collecting, processing, and reporting data on the DTM portal, and this configuration will take effect in just 6 hours.
③ Multi-platform distribution
Enterprises often need to deliver ads through different channels and use different data analytics platforms to compare performance. DTM can collect data from different digital marketing systems and report the collected data to multiple analytics platforms, such as HUAWEI Analytics, AppsFlyer, Adjust, Google Ads, and Google Analytics for Firebase.
④ Lower cost, higher efficiency
Enterprises can directly add, delete, and modify tags on the DTM portal, which is cheaper and requires less IT resources. They can also manage all tags centrally, considerably improving the efficiency of their tag management.
⑤ Data privacy and security
DTM has data centers in China, Singapore, Russia, and Europe. It strictly complies with privacy laws and regulations of a wide range of countries and regions such as the GDPR, so it protects developers' data privacy and security.
During the HDC, DTM's visual event tracking function caught the eyes of many developers.
With visual event tracking, marketing personnel can synchronize app screens or web pages to the DTM portal, and then click the relevant screen or page elements on the portal to quickly add visual events and parameters for these elements without coding, greatly improving data collection efficiency.
Page for adding visual events for an app screen
Page for adding visual events for a web page
DTM can be used together with HUAWEI Analytics and Push Kit to further improve the operational efficiency.
To learn more about DTM, go to the HUAWEI Developers website 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
HUAWEI Analytics Kit, our one-stop analytics platform, provides developers with intelligent, convenient, and powerful analytics capabilities, so you can optimize your apps' performance and identify effective marketing channels. With the newest version, Analytics Kit 5.0.5, we've added new functions like e-commerce analysis, gaming industry analysis, marketing attribution analysis, and install referrer analysis, to meet the data analysis requirements of developers across a huge range of industries. Let's take a closer look at these updates.
Streamline your data with e-commerce industry analysis
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We’ve added two new sections to reports, giving you useful data such as core sales indicators and sales conversion rates:
Product sales analysis: Shows the GMV, order quantity, number of users who made purchases, details page views, payment conversion rate, and refund data. You can also filter sales data by time segment, app, user attribute, and audience.
Product category analysis: Shows the total purchases, number of users who made purchases, and sales for each product category. You can also add additional filters.
Understand players' behavior with gaming industry analysis
Gaming industry analysis provides you with data such as core revenue indicators and user analysis, so you can measure your game's overall performance and identify opportunities for growth.
Game top-up analysis: Shows changes in indicators such as average revenue per paying user, average revenue per active user, top-up payment rate, top-up user level, and top-up user retention rate.
Virtual currency analysis: Shows the number of new users consuming virtual currency and the consumption of virtual currency. You can also drill down by app, user attribute, and audience.
Levels and items: Shows data about leveling up and usage of items by user level.
User analysis: Shows the number of users and total consumption by consumption range, as well as play time and payments for new users and active users.
See which marketing channels work with marketing attribution analysis
The marketing attribution report measures the degree to which a push message contributes to a target conversion event, and helps you optimize your push messages.
See where your users come from with install referrer analysis
By configuring matching and parsing rules for an install referrer, you can obtain its attribution report, which tells you where your newly subscribed users have come from. You can then tailor your approach for users from different sources.
We're always finding ways to provide you with intelligent, convenient, and secure data analytics services, and are now exploring specific scenarios based on Huawei's "1+8+N" ecosystem, to help you develop apps according to what users want.
Want to find out more about Analytics Kit? Detailed guides are available on the HUAWEI Developers website. If you have any questions during the integration process, you can submit a service ticket online to consult our technical personnel.
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As enterprises have placed higher requirements on data monitoring and analysis, marketing campaigns have changed at a breakneck speed. This phenomenon has posed a challenge for operations personnel, who find it difficult to make informed decisions based on data that's being updated on an hourly or T+1 basis.
This is especially true when a new marketing campaign is launched, a new version is released, or when ads are delivered in different periods and through multiple channels. Under these scenarios, product management and operations personnel need the access to minute-by-minute fluctuations in the number of new users and number of users who have updated the app, as well as the real-time data on how users are engaging with the promotional campaign. Armed with this timely data and real-time decision-making capabilities, the personnel are able to ensure that the results from a promotion, update, or launch meet expectations.
Analytics Kit leverages Huawei's formidable data processing and computing capabilities, offering a reconstructed real-time overview function that's based on ClickHouse. It makes operations more seamless than ever, by showing data such as the number of new users and active users in the last 30 minutes and current day, channels that acquire users, app version distribution, and app usage metrics.
Data Provided by Real-Time Overview1. Data Fluctuations from the Last 30 Minutes and 48 HoursThis section provides the access to the numbers of new users, active users, and events over the last 30 minutes, as well as comparisons between the numbers of new users, active users, and events by minute or hour from the current day or day before. You can also filter the data to meet your needs, by specifying an acquisition channel, app version, country/region, or app to perform more thorough analysis.
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* Example of a real-time overview report
2. Real-Time Information about Events and User AttributesThis part provides user- and event-related data, including their parameters and attributes. When using it in conjunction with data from the previous section, you can get a highly detailed picture of app usage, getting crucial insights into key indicators for your app.
* Example of a real-time overview report
* Example of a real-time overview report
3. User DistributionHere you'll get in-depth insights into how your app is being used, thanks to a broad range of real-time data related to the distribution of users by channel, country/region, device model, and app.
* Example of a real-time overview report
When Should I Use Real-Time Overview1. To Identify Unexpected TrafficOnce you have delivered ads through various channels, you'll be able to view how many users have been acquired through each of these channels via the real-time overview report, and then allocate a larger share of the ad budget to channels that have performed well.
If you find that the number of new users acquired through a channel is significantly higher than average, or that there is a sudden surge from a specific channel, the report can tell you the device models and location distributions of these new users, as well as how active they are after installing the app, helping you determine whether there are any fake users. If there are, you can take necessary actions, such as reducing the ad budget for the channel in question.
You can also check the change in the number of users acquired by each channel during different time segments from the last 48 hours. Doing so allows you to compare the performance of different promotional assets and channels. Those that fail to bring about expected results can simply be replaced.
Take an MMO game as an example, whose operations personnel use the real-time overview function to determine changes in new user growth following the release of different promotional assets. They found that the number of new users increased significantly when an asset is delivered at 10 o'clock. During the lunch break, however, the new user growth rate was far lower than expectations. The team then changed the asset, and was happy to find that the number of new users exploded during the evening, meeting their initial target.
2. For Real-Time Insights on User Engagement with a Promotional CampaignOnce you've launched a marketing campaign, you'll be able to monitor it in real time by tracking such metrics as changes in the number of participants, geographic distribution of participants, and the numbers of participants who have completed or shared the campaign. Such data makes it easy to determine how effective a campaign has been at attracting and converting users, as well as to detect and handle exceptions in a timely manner.
For example, an e-commerce app rewards users for participating in a sales event. It used the real-time overview report to determine that the number of participants from a certain place as well as the app sharing rate of participants from this place were both lower than expected. The team pushed a coupon and sent an SMS message to users who had not yet participated in the campaign, and saw the participation rate skyrocket.
3. To Avoid Poor Reviews During Version UpdatesWhen you release a new app version for crowdtesting or canary deployment, the real-time overview report will show you the percentage of users who have updated their app to the new version, the crash rate of the new version, as well as the distribution of users who have performed the update by location, device model, and acquisition channel. If an exception is identified, you can make changes to your update strategy in a timely manner to ensure that the new version will be better appreciated by users.
Furthermore, if the update includes new features, the report will show you the real-time performance of the new features, in addition to any relevant user feedback, helping you identify, analyze, and solve problems and optimize operations strategies before it's too late.
Timely response to user feedback and adjustments to operations strategies can help boost your edge in a ruthlessly competitive market.
That's it for our introduction and guide to the real-time overview 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.
Thanks for sharing.
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# Enable offline access so that you can refresh an access token without
# re-prompting the user for permission. Recommended for web server apps.
access_type='offline',
# Enable incremental authorization. Recommended as a best practice.
include_granted_scopes='true')
The real estate industry is a prime example of a service sector that has rapidly digitalized in recent years, in order to meet the needs of a robust market and soaring customer base.
This phenomenon has not gone unnoticed by Analytics Kit, which offers special reports and event tracking templates for house rental and purchase apps in its 6.2.0 version. These reports and templates focus on attributes and behavior of users when they're viewing housing listings online. This makes the kit ideal for housing service platforms that hope to pique user interest in housing listings, and streamline the rental/purchasing process.
1. Data Overview: A Glimpse at the Whole Picture
The Data overview report shows you the overall status of your app, including the number of new users yesterday, number of active users yesterday, and the average usage duration yesterday.
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* Report example
The report also offers a filter function, allowing for further analysis on user changes. Let's take city-based data as an example. Real estate purchasing policies in different cities directly affect users' needs for buying houses. You can select cities in the filter to compare differences in user growth trends, making it easy to assess the effects of policy and economic conditions on behavior.
2. User Analysis: In-depth Data Display
The User analysis report details every aspect of how users interact with your app, with data like distribution of active users, sign-in time segments of active users, average usage duration per user, and how users are retained. This in turn, can help your operations team allocate resources in a more efficient way.
* Report example
* Report example
3. House Data, for Seamless Resource Allocation
One of the major drivers of user growth in the online housing market is the access to premium data. In order to close house rental or purchase deals, housing service platforms need to ensure that their users can find houses of interest quickly and conveniently.
The House data report offers key data on the number of views on the new house pages, number of views on the pre-owned house pages, number of views on the rental house pages, preferences for house layouts, and preferences for housing prices. Armed with such information, housing platforms can send out reasonable messages that appeal to their users. The report page also makes it easy to compare how users in different regions approach housing, which can help with crafting targeted sales strategies. Offline real estate agents can also benefit from this data, as they can better understand their customers' housing preferences, thereby streamlining the process for closing a deal.
* Report example
* Report example
Out-of-the-Box Templates
To help developers configure event tracking more efficiently, Analytics Kit also provides tracking templates for each of the three reports mentioned above. These templates are all ready-to-use: To check these reports, simply configure event tracking by using the events and parameters available in the templates.
Tracking configuration can be done either via coding or adding visual events. By easing integration and event tracking configuration, verification, and management, Analytics Kit boosts the efficiency and accuracy of event tracking.
* Template example
As house rental and purchases are not common user transactions, closing deals online is dependent on a continually active user base. In order to better engage with users, you can depend on the analytical models in Analytics Kit, which cover every facet of the experience.
For example, we can combine knowledge about user housing views with the audience analysis model to engage with specific audiences in different ways. For users who have a rigid demand for housing and are interested in two-bedroom apartments, you can send them messages about cost-effective housing in convenient locations. Or alternatively, for users who have stringent requirements for a comfortable living experience, you can notify them about smart and well-furnished living spaces.
That's all for the introduction to the house rental and purchase reports that are available in Analytics Kit 6.2.0. 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.
Nowadays, lots of developers choose to buy traffic to help quickly expand their user base. However, as traffic increases, game developers usually need to continuously open additional game servers in new service regions to accommodate the influx of new users. How to retain players for a long time and improve player spending are especially important for game developers. When analyzing the performance of in-game activities and player data, you may encounter the following problems:
How to comparatively analyze performance of players on different servers?
How to effectively evaluate the continuous attractiveness of new servers to players?
Do cost-effective incentives of new servers effectively increase the ARPU?
...
With the release of HMS Core Analytics Kit 6.8.0, game indicator interpretation and event tracking from more dimensions are now available. Version 6.8.0 also adds support for service region analysis to help developers gain more in-depth insights into the behavior of their game's users.
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From Out-of-the-Box Event Tracking to Core Indicator Interpretation and In-depth User Behavior Analysis
In the game industry, pain points such as incomplete data collection and lack of mining capabilities are always near the top of the list of technical difficulties for vendors who elect to build data middle platforms on their own. To meet the refined operations requirements of more game categories, HMS Core Analytics Kit provides a new general game industry report, in addition to the existing industry reports, such as the trading card game industry report and MMO game industry report. This new report provides a complete list of game indicators along with corresponding event tracking templates and sample code, helping you understand the core performance data of your games at a glance.
* Data in the above figure is for reference only.
You can use out-of-the-box sample code and flexibly choose between shortcut methods such as code replication and visual event tracking to complete data collection. After data is successfully reported, the game industry report will present dashboards showing various types of data analysis, such as payment analysis, player analysis, and service region analysis, providing you with a one-stop platform that provides everything from event tracking to data interpretation.
Event tracking template for general gamesPerform Service Region Analysis to Further Evaluate Player Performance on Different Servers
Opening new servers for a game can relieve pressure on existing ones and has increasingly become a powerful tool for improving user retention and spending. Players are attracted to new servers due to factors such as more balanced gameplay and better opportunities for earning rewards. As a result of this, game data processing and analysis has become increasingly more complex, and game developers need to analyze the behavior of the same player on different servers.
* Data in the above figure is for reference only.
Service region analysis in the game industry report of HMS Core Analytics Kit can help developers analyze players on a server from the new user, revisit user, and inter-service-region user dimensions. For example, if a player is active on other servers in the last 14 days and creates a role on the current server, the current server will consider the player as an inter-service-region user instead of a pure new user.
Service region analysis consists of player analysis, payment analysis, LTV7 analysis, and retention analysis, and helps you perform in-depth analysis of player performance on different servers. By comparing the performance of different servers from the four aforementioned dimensions, you can make better-informed decisions on when to open new servers or merge existing ones.
* Data in the above figure is for reference only.
Note that service region analysis depends on events in the event tracking solution. In addition, you also need to report the cur_server and pre_server user attributes. You can complete relevant settings and configurations by following instructions here.
To learn more about the general game industry report in HMS Core Analytics Kit 6.8.0, please refer to the development guide on our official website.
You can also click here to try our demo for free, or visit the official website of Analytics Kit to access the development documents for Android, iOS, Web, Quick Apps, HarmonyOS, WeChat Mini-Programs, and Quick Games.