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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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.
1.1 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.
1.2 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.
1.3 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.
1.4 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.
Anticipate user behavior to implement refined operations.
Any of this sound familiar?
Users are difficult, costly to acquire, and even harder to retain.
There are a lot of active users, but none are paying users.
It is really hard to optimize operations to give users a pleasant journey using my product.
Fortunately, there's HUAWEI Prediction, which can lend you a hand.
What Is Prediction?
The Prediction service precisely forecasts the behavior of target audiences by utilizing machine learning technologies that harness the data-driven user behavior and attributes analysis in HUAWEI Analytics. It can also help you carry out and optimize operations, boosting user retention and conversion dramatically.
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1. Identifying User Churn Risks and Improving User Retention
When your app is at risk of user churn related to user experience or the competition, you can predict users who are likely to churn in the next week based on user behavior data prepared in advance, prepare promotional activities designed to win-back such users, and activate other users to enjoy vastly more effective user retention.
1. Identifying User Churn Risks and Improving User Retention
When your app is at risk of user churn related to user experience or the competition, you can predict users who are likely to churn in the next week based on user behavior data prepared in advance, prepare promotional activities designed to win-back such users, and activate other users to enjoy vastly more effective user retention.
2. Predicting Potential Paying Users and Increasing Conversion
The Prediction service precisely segments users who may purchase products over the next week, and automatically creates clearly-defined audiences. Operations personnel can formulate targeted marketing policies or optimize the payment process for the audiences. For example, they can offer personalized operations such as ad-free purchases and time-limited discounts to such users to boost revenue to new heights.
3. Predicting Potential Return Users and Reducing Customer Acquisition Costs
Prediction can also help you predict the audience with a high return potential over the next seven days, and formulate precise marketing policies for these users, such as pushing greetings to existing customers and configuring discount packages for members, to improve payment conversion and cultivate user loyalty.
Advantages
1. Accurate prediction models: Utilize cutting-edge machine learning technologies to train models that automatically link time series with user characteristics, for enhanced prediction accuracy.
2. In-depth insights into target audiences: Understand audiences' preferences by analyzing user attributes, behavior, and other metrics, to pursue optimal, data-driven strategies at all times.
3. Open audience operations: Open up audience predictions to such services as Push Kit, A/B Testing, and Remote Configuration, to help your business grow.
4. Rapid task creation: Create predictions for a diverse range of conversion events, and optimize prediction models to generate more accurate results.
Case Study
[Background]
A game app has a high user churn rate. Its development team hopes to identify potential churn users in advance, and then retain them in time.
[Solution]
HUAWEI Prediction helps identify users with high churn potential and determine the attributes they hold in common. By working with other AppGallery Connect services, notably Remote Configuration, Prediction saves these users as an audience, and conducts targeted operations.
More information abour Prediction
AARRR — short for acquisition, activation, retention, referral, and revenue — is a key operations model, where acquisition, as the very start, greatly affects how users will be converted. You may have tried different methods to improve the acquisition effect, user engagement, and user retention, but to no avail. So, what else can you do?
With the payment analysis report in Analytics Kit 6.0.0, you can analyze the behavior of your users by referring to data such as their payment frequency and preference. By combining this function with other analytical models in the kit, you'll have an array of data to work and plan from for higher revenue.
Enticing Users to Pay QuicklyThe first payment made by a user is the most significant as it implies they are satisfied with the app — but it is a process that can take some time.
This process inevitably varies app by app, so we can only touch on how to guide quick user payments in general.
Identifying common events that lead to the first payment
Sign in to AppGallery Connect. Find your project and app, and go to HUAWEI Analytics > Audience analysis. Create an audience of users who made the first payment. Then, check the report for this audience to identify the functions they frequently use. Let's say for an education app, most users tend to search for or share a course before making their first payment.
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* For reference only
Go to Payment analysis. Under Add filter, select the audience just created. Then, the report will present data about this audience, allowing us to optimize our operations strategies.
Leading non-paying users to frequently used or core functions
As mentioned above, the course searching and sharing functions most likely lead users to make their first payments. We can therefore guide users to use these functions more often. Or, we can send non-paying users push notifications that introduce the functions in detail, to guide such users to use them.
Increasing the ARPU & Payment RateIncreasing the average revenue per user (ARPU) and payment rate is important for boosting total user payment. To this end, we need to implement different operations strategies for different audiences, which can be created using the RFM model. The reason is simple: user payments vary by their payment abilities and preferences.
Determining users' paying habits
Go to Payment analysis. The report here shows changes in the paying users and the amount they pay. Using the filter and comparison analysis functions, we can easily locate the paying habits of different audiences.
* For reference only
If we find that most high-paying users are active users in Beijing, we can specifically target them with campaigns to make recurring payments.
Making audience-specific strategies
We can first segment users into different audiences by using the RFM model.
R: Recency, indicating the last consumption users made before the data collection date. It can be used to measure the user consumption period.
F: Frequency, indicating the consumption times of users in a given period
M: Money, indicating the consumption amount of users in a given period
* For reference only
After creating audiences, we can send them coupons or different push notifications with content that interests them, such as membership-related campaigns and promotions including price-break discounts.
In short, targeted operations based on analysis of how different audiences make payments in the app can help improve payment-related indicators and ROI.
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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Since the release of various industry reports and corresponding event tracking solutions, Analytics Kit has helped a large number of developers from various industries achieve efficient operations and business growth. Recently, a number of performance and function updates have been made to Analytics Kit 6.3.2, for more convenient user data analysis.
Here's what's new:
Added the function of audience creation by importing files, helping you group users for precise operations.
Added the function of audience synchronization to HUAWEI Ads, for targeted marketing.
Added the server SDK, allowing you to quickly call relevant capabilities.
Enhanced analysis models, for in-depth data analysis.
Create Audiences by Importing Files for Easy User Grouping
Audience creation using user labels and events relies on users' in-app behavior. However, for some scenarios, such as offline purchases, this method does not work because payment-related labels are unavailable for such users. Luckily, Analytics Kit 6.3.2 has solved this problem. You can download and fill in the template with AAIDs or user IDs, and upload it to easily create an audience.
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After importing the audience, you can use the filter function to analyze the audience in a detailed manner. Meanwhile, you can create another audience by combining imported audiences.
Synchronize Audiences to HUAWEI Ads for Targeted Marketing
Over recent years, payment conversion results have been poor compared to the rising cost of marketing, and this has highlighted the need for targeted marketing.
To meet your need, Analytics Kit allows you to synchronize audiences created through the audience analysis function to HUAWEI Ads. You can analyze the audiences to learn about their product needs, and then deliver corresponding ads through HUAWEI Ads to realize targeted operations. In this way, you can effectively promote the payment conversion of potential customers and boost the ROI of ads.
Reduce Workload with the Server SDK
Currently, Analytics Kit provides the APIs for importing custom user attributes and reporting user behavior. To reduce your workload and allow you to call API capabilities more conveniently, the server SDK is now available for you to integrate.
Analyze Data with Advanced Analysis Models
For you to implement in-depth data analysis, the current analysis models have been optimized from dimensions including user experience, performance, and UI.
For instance, when analyzing a parameter of a specific event, you can select a value from the drop-down list box, while in earlier versions, you have to manually enter a value. On top of this, tables on the Paid traffic and Payment analysis pages have also been optimized to display user data clearly.
To learn more about the updates, refer to the version change history. Click here to get the free demo trial, or visit our official website to access the development documents for Android, iOS, Web, Quick App, HarmonyOS, and WeChat Mini-Program.
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.