For a business to grow, it must be capable of fine-grained and multi-dimensional user analysis, facing the popularity of precise operations. HMS Core Analytics Kit, which has been dedicated to exploring industry pain points and meeting service requirements, can do that. Recently, it released the 6.6.0 version, further expanding its scope of data analysis.
Here's what's new:
Updated Audience analysis, for even deeper user profile insight.
Added the function of saving churned users as an audience to Retention analysis, contributing to the multi-dimensional analysis on abnormal user churn, and boosting timely user retention with the help of targeted strategies.
Added the Page access in each time segment report to Page analysis, making users' usage preferences even clearer.
Added the function of sending back day 1, day 3, and day 7 retention data to HUAWEI Ads along with conversion events, to help you evaluate ad placement.
1. Updated Audience analysis to Audience insight, and added the User profiling report, for deep knowledge of users
In the new version, the Audience analysis menu is changed to Audience insight, which is broken down into the User grouping and User profiling submenus. User grouping contains the audience list and the audience creation function, while User profiling displays audience details. What's more, User profiling has added the Audience profiling module, which presents basic information about the selected audience through indicators like consumption in last 7 days, so that you can make a practical operations plan.
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* This data is from a test environment and is for reference only.
2. Saving churned users as an audience in a click to enhance winback efficiency
Winning back users is vital to any business and this can be even more achievable thanks to clear churn analysis, which helps boost winback efficiency with less effort. In Analytics Kit 6.6.0, we have updated the retention analysis model and added the saving churned users function. This allows you to analyze the behavior features of churned users, and what's more, by combining this function with the audience insight function, you can customize differentiated and targeted operations strategies to win back users effectively.
* This data is from a test environment and is for reference only.
3. Displaying users' preferences for page access time segments, to pinpoint the best opportunity for operations
An abundance of different app types and page functions inevitably leads to varying user preferences for access time segments, making selecting the proper time segments to push content complicated. Fortunately, with Page analysis, you can view the access time segment distribution of different pages. By comparing the number of accesses and users in different time segments, you can fully understand users' product usage preferences and seize proper operations opportunities.
* This data is from a test environment and is for reference only.
4. Evaluating ad placement effects through detailed user loyalty indicators
Analytics Kit can send back conversion events, which provides data support for ad effect evaluation and placement strategy adjustment. In the new version, this function has been updated to send back day 1, day 3, and day 7 retention data along with conversion events, helping you better evaluate user loyalty. By using this retention data, you can further evaluate whether the user groups you advertise to are your target users and whether they are loyal, and adjust ad placement to improve the ROI.
Moreover, Analysis Kit 6.6.0 has also optimized functions like Event analysis and Project overview. To learn more about the updates, refer to the version change history.
For more details, click here to visit our official website.
MOD ACTION:
Thread closed as duplicate of https://forum.xda-developers.com/t/try-updated-functions-of-analytics-kit-6-6-0.4473115/
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New Kits
AR Engine：
Added the function of health check through facial recognition, which analyzes facial images of individuals to determine various health indicators and personal attributes such as the heart rate, respiration rate, age, and gender, assisting with preventative health management. Further health indicators will be made available in the near future.
Added the Native API to meet performance requirements. (only for the Chinese mainland)
Learn more
ML Kit：
Added a pre-trained text classification model, which classifies input text to help define the application scenarios for the text.
Face detection: Supported the 3D face detection capability, which obtains a range of information, such as the face keypoint coordinates, 3D projection matrix, and face angle.
On-device text to speech: Added eagle timbres for Chinese and English to meet broad-ranging needs.
Real-time translation and real-time language detection: Supported integration into iOS systems.
Other updates:
(1) Audio file transcription: Supported setting of the user data deletion period.
(2) Real-time translation: Supported seven additional languages.
(3) On-device translation: Supported eight additional languages.
(4) Real-time language detection: Supported two additional languages.
Learn more
Analytics Kit：
Added e-commerce industry analysis reports, which help developers of e-commerce apps with refined operations in two areas: product sales analysis and category analysis.
Added game industry analysis reports, which provide invaluable data such as core revenue indicators and user analysis data for game developers to gain in-depth insight into player attributes.
Enhanced the attribution analysis function, which analyzes the attribution of marketing push services to compare their conversion effect.
Added installation source analysis, which helps developers analyze new users drawn from various marketing channels.
Learn more
Accelerate Kit：
Multithread-lib: Optimized the wakeup overhead, buffer pool, and cache mechanisms to provide enhanced performance.
Added the performance acceleration module PerfGenius, which supports frame rate control, key thread control, and system status monitoring. The module effectively solves problems such as frame freezing and frame loss in some scenarios and avoids performance waste in light-load scenarios, maximizing the energy-efficiency ratio of the entire device.
Learn more
Health Kit：
Added the data sharing function, which now enables users to view the list of apps (including app names and icons) for which their health data is shared, as well as the list of authorized data (displayed in groups) that can be shared.
Added the authorization management function, through which users can authorize specific apps to read or write certain data, or revoke the authorization on a more flexible basis.
Added the stress details and stress statistics data types.
Learn more
Other kits：
Made necessary updates to other kits.
Learn more
New Resources
Shopping App ：
Sample Code: Added hms-ecommerce-demo, which provides developers with one-stop services related to the e-commerce industry. The app incorporates 13 capabilities, such as ad placement, message pushing, and scan-to-shop QR code. You can quickly build capabilities required for wide-ranging shopping scenarios in apps via the sample code.
Learn more
Account Kit：
Sample Code: Added the function of automatically reading an SMS verification code after user authorization to huawei-account-demo.
Learn more
Map Kit：
Sample Code: Added the Kotlin sample code to hms-mapkit-demo-java, which is used to set a fixed screen center for zooming.
Learn more
Site Kit：
Sample Code: Added the Kotlin sample code to hms-sitekit-demo.
Learn more
Nice update.
"And then even the mightiest company is in trouble if it has not worked on the future."
- Peter Drucker
The soaring growth of the mobile Internet brings both a trend of homogeneity in products and fierce competition. Analyzing users with session path analysis allows you to tap into the value of your users and guide their conversion in the lifecycle.
HUAWEI Prediction anticipates user behavior in advance based on user behavior data, helping you make smart and quick decisions.
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1. What is custom prediction?
In our previous posts, we introduced some prediction tasks provided by Prediction. So, what's special about the custom prediction task? Simply put, custom prediction tasks can be used in multiple scenarios.
User churn and payment is an important factor to determine whether a product can be monetized successfully, which is a key concern during product operations. You may also take into consideration other in-app events and their conversion nodes, such as the click-through rate of an in-app ad, or the probability of a player passing a game level. With the help of custom prediction tasks, you can evaluate the probability of user behavior.
Sourced from diversified data reported by your app, and similar to the preset prediction tasks, a custom prediction task uses the active user data from the previous two weeks to train a model, which then predicts the probability that active users from the previous week perform a certain behavior over the next week.
2. Method for starting a custom prediction task as required
Different operations solutions apply to different industries and scenarios. For example, an e-commerce app wants to attract more users and for users to add products to their shopping carts or tap an ad on the home screen, and a game app may want to know the probability of a player passing a level or consuming coins and items.
This post takes game apps as an example for evaluating the probability of a player passing a level using the custom prediction.
To achieve this, your app needs to report game level completion events. First, sign in to AppGallery Connect, click My projects, find your app, go to HUAWEI Analytics > Behavior analysis > Event analysis, and create a COMPLETELEVEL event, which is a preset event. Then mark it as a conversion event, go to Prediction, and create a custom prediction task. After you have selected the COMPLETELEVEL event, click OK.
Currently, you can create custom prediction tasks for automatically collected events, preset events, and custom events in HUAWEI Analytics in the same way.
3. Use cases of custom prediction task results
Since we have introduced the creation of a custom prediction task, let's see how its result can help with your business growth.
From the detailed result, it can be seen that the number of users predicted to have a low probability of completing the game level share a similar location and app version. To solve this problem, you can release different app versions for different countries and regions. Alternatively, you can develop an operations plan to improve the audience's experience and aim to turn them into paid users.
* The screenshot is from the custom prediction details page of HUAWEI Prediction. The data is for reference only.
Your game can recommend improved equipment and game coins to these players, as well as increase the probability of them making in-app purchases. By guiding the players to complete payments, you can turn minnows into dolphins and, eventually, whales.
Implementing this method couldn't be simpler. Prediction can work with AppGallery Connect Remote Configuration without you having to do extra coding.
On the Remote Configuration page in AppGallery Connect, you can choose to display item recommendation pop-ups just to players who are less likely to complete the game for promoting payment conversions. You can also attract players by setting a time limit on a discount for game coins. When your prediction task is updated, its audience is also updated, allowing you to reach target players without disturbing other players.
To learn more about HUAWEI Prediction, feel free to check out this document.
Core Value
Real-time overview provides real-time data feedback and analysis, which are significant to improve the efficiency of product operations. For key marketing scenarios related to user attraction, such as online operations activities, new version releases, and abnormal traffic warnings, its low-latency data feedback can benefit your agile business decision-making.
Application Scenarios
Scenario 1: Real-Time Evaluation of Activity Traffic
In most cases, after a new user acquisition activity is rolled out online, traffic is monitored hourly or daily. This makes it difficult for operations personnel to accurately locate the root cause of an exception and make timely adjustments, which may hinder the effectiveness of the activity.
Luckily, real-time overview can analyze traffic by the minute and present real-time fluctuations of new users in an app accurately, indicating when the best activity effect is achieved and how to optimize subsequent activities.
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* Test environment data is for reference only.
Scenario 2: Optimization of New Versions
Operations personnel require real-time data to measure the performance and acceptance of new versions, in the face of fast product iterations driven by ever-changing user requirements.
For example, after a game update is released, how the players respond to the new content directly impacts the game's revenue.
To understand how users respond to the update and mitigate its problems, real-time overview can be used as a reference. By referring to real-time overview, you can easily spot abnormal fluctuations, and then quickly optimize your app and take corresponding operations methods.
* Test environment data is for reference only.
Scenario 3: Real-Time View of User Characteristics
Real-time overview helps you understand whether the in-app journey of users matches the product design, whether you have attracted the target users who use specific device models and come from specific places, as well as their in-app behaviors.
The User analysis report clearly displays the real-time distribution of users by each attribute, like channels and countries/regions, in the form of cards.
* Test environment data is for reference only.
With the Event analysis report, you can learn about users' frequent in-app behaviors, so that you can identify the best time to send push notifications and in-app messages.
* Test environment data is for reference only.
How to Use Real-Time Overview
Sign in to AppGallery Connect, click My projects, find your project, and go to HUAWEI Analytics > Overview > Real-time overview.
Visit our official website to learn more.
Are you always wondering how to perform attribution tracking and evaluate the user acquisition performance of different channels in a more cost-effective way? A major obstacle to evaluating and improving ad performance is that users' interactions with ads and their in-app behavior are not closely related.
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Using HUAWEI Ads and Analytics Kit to evaluate E2E marketing effect
Analytics Kit lets you configure conversion events (including app activation, registration, adding to cart, payment, retention, repurchase, rating, sharing, and search), which can then be quickly sent back to HUAWEI Ads for E2E tracking. This can provide analysis all the way from exposure to payment, so that you can measure the conversion effect of each marketing task, and adjust the resource delivery strategy in time. Moreover, HUAWEI Ads can learn the conversion data through models, helping dynamically optimize delivery algorithms for precise targeting, acquire users with higher retention and payment rates, and enhance ROI.
Identifying paid traffic to analyze the user acquisition performance of channels
As the cost of acquiring traffic is soaring, what is critical to the ad delivery effect is no longer just the investment amount, but whether you can maximize its performance by precisely purchasing traffic to enhance traffic scale and quality.
You can use UTM parameters to mark users, and therefore easily distinguish between paid traffic and organic traffic in Analytics Kit. You can compare users and their behavior, such as which marketing channels, media, and tasks attract which users, to identify the most effective marketing strategy for boosting user conversion.
* The above data is derived from testing and is for reference only.
You can also utilize the marketing attribution function to analyze the contribution rate of each marketing channel or task to the target conversion event, to further evaluate the conversion effect.
* The above data is derived from testing and is for reference only.
Moreover, Analytics Kit offers over 10 types of analytical models, which you can use to analyze the users of different marketing channels, media, and tasks from different dimensions. Such information is great for optimizing strategies that aim to boost paid traffic acquisition and for reaping maximum benefits with minimal cost.
For more information about how Analytics Kit can contribute to precision marketing, please visit our official website, and don't hesitate to integrate it for a better ad delivery experience.
For a business to grow, it must be capable of fine-grained and multi-dimensional user analysis, facing the popularity of precise operations. HMS Core Analytics Kit, which has been dedicated to exploring industry pain points and meeting service requirements, can do that. Recently, it released the 6.6.0 version, further expanding its scope of data analysis.
Here's what's new:
Updated Audience analysis, for even deeper user profile insight.
Added the function of saving churned users as an audience to Retention analysis, contributing to the multi-dimensional analysis on abnormal user churn, and boosting timely user retention with the help of targeted strategies.
Added the Page access in each time segment report to Page analysis, making users' usage preferences even clearer.
Added the function of sending back day 1, day 3, and day 7 retention data to HUAWEI Ads along with conversion events, to help you evaluate ad placement.
1. Updated Audience analysis to Audience insight, and added the User profiling report, for deep knowledge of users
In the new version, the Audience analysis menu is changed to Audience insight, which is broken down into the User grouping and User profiling submenus. User grouping contains the audience list and the audience creation function, while User profiling displays audience details. What's more, User profiling has added the Audience profiling module, which presents basic information about the selected audience through indicators like consumption in last 7 days, so that you can make a practical operations plan.
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* This data is from a test environment and is for reference only.
2. Saving churned users as an audience in a click to enhance winback efficiency
Winning back users is vital to any business and this can be even more achievable thanks to clear churn analysis, which helps boost winback efficiency with less effort. In Analytics Kit 6.6.0, we have updated the retention analysis model and added the saving churned users function. This allows you to analyze the behavior features of churned users, and what's more, by combining this function with the audience insight function, you can customize differentiated and targeted operations strategies to win back users effectively.
* This data is from a test environment and is for reference only.
3. Displaying users' preferences for page access time segments, to pinpoint the best opportunity for operations
An abundance of different app types and page functions inevitably leads to varying user preferences for access time segments, making selecting the proper time segments to push content complicated. Fortunately, with Page analysis, you can view the access time segment distribution of different pages. By comparing the number of accesses and users in different time segments, you can fully understand users' product usage preferences and seize proper operations opportunities.
* This data is from a test environment and is for reference only.4. Evaluating ad placement effects through detailed user loyalty indicators
Analytics Kit can send back conversion events, which provides data support for ad effect evaluation and placement strategy adjustment. In the new version, this function has been updated to send back day 1, day 3, and day 7 retention data along with conversion events, helping you better evaluate user loyalty. By using this retention data, you can further evaluate whether the user groups you advertise to are your target users and whether they are loyal, and adjust ad placement to improve the ROI.
Moreover, Analysis Kit 6.6.0 has also optimized functions like Event analysis and Project overview. To learn more about the updates, refer to the version change history. For more details, click here to visit our official website.