Anticipate user behavior to implement refined operations. - Huawei Developers

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.
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