To survive in the market, an app must be optimized and updated on an ongoing basis, in order to remain attractive to users. By frequently improving app design and providing users with new functions and experience, we can maximize user loyalty and extract greater benefits.
However, evaluating the effects of an app update is not an easy task. These include user attitudes regarding updates, feature popularity, and contributions of the app update to the key path conversion rate. Fortunately, Analytics Kit has you covered, giving you access to a wealth of user behavioral data, which is indispensable for performing such evaluations.
1. Comparing adoption rates between different versions
An app may crash after a new version is released, so monitoring its quality is crucial to ensuring an optimal user experience. Real-time analysis of version distribution gives you a sense of how each app version is performing, such as the corresponding numbers of users, events, and crashes, so that you can locate and solve problems in a timely manner.
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The app version adoption rates reveal the versions adopted by all, active, and new users, offering insight on whether the number of users adopting the new version is increasing as expected. App version details are also at your disposal, enabling you to perform drill-down analysis.
2. Verifying app update effects in retention growth
Retention rate is one of the most significant indicators for evaluating app update effects. You can use the filter function to compare new user retentions between old and new versions. If the retention rate of the new version has surpassed that of the old version, we can conclude that the app update is effective for bolstering user retention.
3. Leveraging the funnel model to track the key path conversion rates
In many cases, app functions or UIs are optimized with the aim of enhancing the conversion rate of key paths. For example, adding a banner at the top of the app UI to attract users to the details page can boost the click-through and purchase rates. Let's use an e-commerce app as an example. A typical conversion path consists of five steps: searching for products, viewing details, adding a product to the shopping cart, submitting an order, and paying for the product. With funnel analysis, you'll be able to observe the conversion rate of each step in the purchasing process. If you have made certain changes on the product details page according to user survey results, you can focus on conversions from users viewing product details to adding products to the shopping cart. Please note that a new funnel must be created if the key path steps have changed due to feature updates.
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.
To learn more, please visit:
HUAWEI Developers official website
Development Guide
Reddit to join developer discussions
GitHub or Gitee to download the demo and sample code
Stack Overflow to solve integration problems
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As a developer, you’ll know that mobile data is more expensive than ever, and this makes it increasingly difficult to attract new users. Optimizing your apps’ user experience and improving user loyalty are crucial to retaining users, and to do this, you need to personalize your app’s content, appearance, and style for different users.
Fortunately, HUAWEI Analytics Kit and Remote Configuration make this easier than ever.
What Is HUAWEI Analytics Kit
HUAWEI Analytics Kit is a free data analysis tool that you can use across a range of platforms (Android/iOS/Web) and on different devices (such as mobile phones/tablets). It automatically generates more than 10 kinds of analysis reports based on your users’ behavior and event data, so you can get a better understanding of your users and take a data-driven approach to marketing.
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What Is Remote Configuration
Remote Configuration enables you to personalize your app’s content and appearance for different users based on the user attributes and audience groups you create in HUAWEI Analytics Kit. This can be done without even requiring users to update the app.
Application Scenarios of HUAWEI Analytics Kit and Remote Configuration
Ø With HUAWEI Analytics Kit's retention analysis function, you can monitor the retention rate of your app version. If you find that the latest version is more effective at retaining users, you can target those who are still using older versions and prompt them to upgrade.
Ø If you find that users who love animations, historical dramas, and suspense dramas are the most active of your video app, you can customize the app style to cater to these users.
Ø You can customize the appearance and content of e-commerce apps based on the characteristics of individual users. For example, you could show a different version of your app to young people and middle-aged people.
Streamlined Integration Process
Once you’ve integrated Remote Configuration, it only takes 5 minutes to integrate HUAWEI Analytics Kit. You can then customize your app’s appearance, content, and style for different users.
For more details, you can visit:
Our official website
Our Development Documentation page, to find the documents you need:
Android SDK
iOS SDK
Web SDK
Quick APP SDK
We’re looking forward to seeing what you can achieve with HUAWEI Analytics!
To improve user retention in your app, it is crucial to optimize user experience and improve user loyalty since it is becoming more and more difficult and expensive to increase traffic and acquire new users. One solution is to customize the content, appearance, and style of your mobile app for different users.
HUAWEI Analytics Kit, together with Remote Configuration, can provide such functions in a convenient and efficient way.
What are HUAWEI Analytics Kit and Remote Configuration?
HUAWEI Analytics Kit is a free-to-use data analysis service for app operations personnel to track how users behave in apps and facilitate precise data-driven operations. Applicable to multiple platforms such as Android, iOS, and web, and various types of devices such as mobile phones and tablets, it can automatically generate more than 10 types of analysis reports based on users' behavior events.
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Remote Configuration provides a console and a client SDK, and periodically obtains configuration items from the cloud. You can then use the user attribute and audience information provided by Analytics Kit to easily tailor app content and appearances for different audiences, without the hassle of releasing a new app version. Remote Configuration allows you to perform the following:
Flexibly control the target user groups to which configuration items take effect, in dimensions such as app version, operating system, country or region, language, time, audience, and user attribute.
Manage up to 300 configuration versions from the last 90 days, and perform one-click rollback to a specified version.
Push configuration changes in real time to speed up app updates on devices.
Examples of scenarios where HUAWEI Analytics Kit and Remote Configuration are applicable
Example 1: HUAWEI Analytics Kit found that the top 3 types of active users in a video app were animation, costume drama, and suspense drama fans, respectively. Therefore, different app styles were used depending on the user type, helping improve user activity.
Example 2: After HUAWEI Analytics Kit was integrated into an e-commerce app, it was found that purchase behavior differed greatly depending on the age of the user. Therefore, the app developer decided to change the appearance of the app and the products displayed depending on the age of the user, in order to provide the user with a better experience and increase in-app purchases.
It takes you only 5 minutes to integrate HUAWEI Analytics Kit, which allows you to precisely segments users and customize app content and styles accordingly.
Integration guide:
Android
iOS
Web
Sample code:
Android
iOS
Web
If you encounter any problems during the integration, you can submit a ticket online.
We look forward to your participation!
A product will go through many stages in its lifetime. Of these, product maturity involves long-term exploration of how to mine value from existing users for monetization. At this stage, operations personnel commonly launch promotions to encourage purchases and cultivate regular payments. These activities advertise themselves with in-app and push notifications. In-app messages reach users in the app and appear in diverse formats, such as modal, banner, and image. Such messages redirect users to activity landing pages with purchase options, a shortcut to monetization.
However, in-app messages are not always welcome. Not everyone wants their app usage interrupted, and their affected experience can cause user churn. To wisely wield this double-edged sword, operations personnel should first target audiences by attribute and behavior so in-app messages they send are tailored to the audience. Since users in these audiences are more willing to make purchases, they are considered of high value in these operations activities.
Let's learn how a tool app attempted to grow revenue from member subscriptions. It sent its users a daily modal in-app message at a scheduled time, but this activity resulted in a less than 0.1% payment conversion rate. Operations personnel then enabled the Prediction service and adjusted their strategy to message only users with high payment potential. Such users were offered limited-time-only promotions that were tailored to their subscription periods. This adjustment increased the payment conversion rate to over 20%, while also increasing overall revenue and retention rate despite the message audience being smaller.
So how do we leverage the Prediction service to mine users with high payment potential, and App Messaging to send them relevant messages?
i. Identifying high-value audience.
First, target users who are more likely to make purchases based on their attributes and behavior.
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ii. Configuring a modal in-app message.
Next, create a modal message in App Messaging, and set the title, image, buttons, and so on for your upcoming activity.
iii. Selecting a trigger event.
Choose when to display the message. This could be upon app launch or whenever a user launches the password protection module.
iv. Targeting users
Use the Prediction condition and then select the target audience.
Boost your own app's payment conversion with Prediction + App Messaging today.
To learn more, please visit:
HUAWEI Developers official website
Development Guide
Reddit to join developer discussions
GitHub or Gitee to download the demo and sample code
Stack Overflow to solve integration problems
Follow our official account for the latest HMS Core-related news and updates.
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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.