Accurately delineate the target population, and effectively implement the operation strategy

The continuous iteration of products and the increasingly rich usage scenarios are inseparable from the diverse needs of users. In order to better establish user relationships with highly viscous products, the implementation of differentiated operation strategies is crucial. In the process of user differentiation and refined operation, precise delineation of user groups is the key.

*Huawei Analytics Service Audience Analysis Report Schematic Diagram

The following will give you a detailed introduction to the three user grouping methods of the Huawei Analytics Service Audience Analysis Model to help you more smoothly complete the implementation of the lean operation strategy.

Method 1: Based on tags and events, freely define

Rich user tags and various events that you report through the SDK can be used for flexible audience creation. You only need to determine the corresponding demographic characteristics according to the operation plan. For example, if an e-commerce app plans to push coupons for silent users of Huawei mobile phone users who have used the App to purchase more than twice in the past month and in the past two weeks, and attract them to repurchase again, you can use the following methods Realize the promotion and lock the target user group:

In the device attributes, select "HUAWEI" for the brand and check "Payment times greater than 2 in the last 30 days", and exclude users who have "silent days for more than 2 weeks" to accurately circle the target group of this event. Combine pushes or in-app messages to reach and delineate users to achieve the operational purpose of promotion.

*Huawei Analytics Service New Audience Report Schematic Diagram

Method 2: Import from file, add online scene

In this version of Huawei Analytics Service 6.3.2, the ability to import audiences is newly added. You can upload users who cannot be encircled through the online audience model and import them according to certain template rules, so that the imported people will become an audience. Groups to facilitate further user in-depth analysis.

For example, when planning large-scale operation activities, users’ payment channels are offline and online. For offline paying users, if they need to further compare and analyze their payment habits and preferences, they can be saved in the form of file import. For an audience group, combined with filters to compare and analyze the behavioral differences of the audience group.

*Huawei Analytics Service Audience Analysis Report Schematic Diagram

Method 3: On the basis of the existing audience group, regroup and define

This scenario is generally a deeper dimensional analysis based on the original audience. The selectable audiences come from the preset audience groups, the audience groups created by the above-mentioned method 1 and method 2, and the audience group generated by the prediction service Different prediction models to evaluate the loss, payment, and repurchase crowds with different probability of circle selection.

When recruiting new users through various channel media or operational activities, if the activity cannot be increased in time, the App will face the risk of high churn. The creation of audiences by the method of conditional combination can further refine the target group and help operators to improve the overall operating efficiency under the premise of limited budget.

For example, for the retention of new users, the audience combination of "new users + silent users" can be used to separate silent users among new users, and wake up users in time through different reach channels such as SMS, remote configuration, and push. To encourage it to become active again.

*Huawei Analytics Service Audience Analysis Report Schematic Diagram

The above is a brief introduction on how to achieve user grouping through the Huawei Analytics Service Audience Analysis Model. The ability to import audiences has been added in the new version 6.3.2 of this update. Everyone is welcome to experience and use it. In addition to the above three user grouping methods, you can also flexibly create different audience groups through funnel analysis reports, retention analysis reports, and user life cycle reports based on business requirements.

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