Audience analysis and uninstall analysis have been fully upgraded, and HMS Core analysis service version 6.6.0 has been updated

Under the general trend of refined operations, fine-grained and multi-dimensional user analysis allows developers to see more growth possibilities from the saturated business red sea. As an important tool for lean operation, HMS Core analysis service has always been committed to digging out the pain points of the industry and keeping up with business demands. It has recently released a new version 6.6.0 to further explore the depth and breadth of data analysis. The main upgrade highlights of this new version:

Audience analysis has been newly upgraded to support more detailed insights into crowd portraits.

A new uninstall flow direction report is added to deeply locate the root cause of uninstallation by analyzing the flow direction before and after user uninstallation.

Retention analysis supports the retention of lost users as audiences , multi-dimensional analysis can be carried out for abnormal user loss, and timely retention can be combined with targeted strategies.

The distribution of new visit periods is added to the page analysis , and the user's product preferences are more clearly defined.

Retention indicators have been added to the conversion event return . You can return "Next Day Retention", "3 Day Retention", and "7 Day Retention" to HUAWEI Ads to further evaluate the value of advertising.

1. The original audience analysis has been upgraded to crowd insight, adding user portrait reports to gain an in-depth understanding of users

In this new version, the original "Audience Analysis" menu was officially renamed "Crowd Insights", and at the same time there were sub-menus "User Grouping" and "User Portrait", and the audience list and new audience creation were moved to "User Grouping"; The details are moved to "User Profile". A new group portrait module has been added to the user portrait. Through cards such as gender, age, consumption status in the past 7 days, etc., you can get a general overview of the current user group, so as to make a more reasonable operation plan.

*Test environment, not real data

2. Uninstallation analysis supports viewing the flow direction of users before and after uninstallation, and locates the root cause of loss and solves the problem in a targeted manner

"Uninstallation Analysis" is separated from "Behavior Analysis" and has two sub-menus "Uninstallation Overview" and "Uninstallation Insights". Uninstallation Insights adds uninstallation flow analysis, which allows users to view the flow and usage of competing products before and after uninstalling a product. For products with a high proportion of flow direction, it can be combined with competitive product analysis to further locate the root cause of user uninstallation, analyze the shortcomings and disadvantages of current products, and find the right direction for product iterative optimization.

*Test environment, not real data

3. The retention analysis model can store the lost people with one click, making the wake-up and recall more directional

Loss recall has always been one of the important links in the user operation process, and a clear analysis of the cause of loss is undoubtedly more effective for the development of recall work. In the new version 6.6.0, we have upgraded the retention analysis model. On the basis of the original retained user audience storage, a new lost user storage has been added. You can further analyze the behavioral preferences of unretained users based on crowd insights. , Customized operation strategy to effectively recall users.

*Test environment, not real data

4. Understand the user's page visit time preference and grasp the best operating time

Differences in APP categories and page functions make users have obvious preferences in the distribution of access time periods, which requires operators to grasp the appropriate push time period when pushing relevant content, and strive to reach more effective users. Page analysis now supports viewing the distribution of visiting time periods for different pages. By comparing and analyzing the number of visits and the number of visiting users in different time periods, you can fully understand the user's product preferences and grasp the appropriate operation timing.

*Test environment, not real data

5. More detailed user stickiness indicators to evaluate the delivery effect

The postback of conversion events on the backend of the analysis service provides data support for advertising effect evaluation and adjustment of delivery strategies. In this new version, the user stickiness evaluation that advertisers have been concerned about has been further upgraded, with new indicators such as "next-day retention", "3-day retention", and "7-day retention". Based on these retained data of users, advertisers can further evaluate the matching degree and stickiness of the target audience covered by advertising, and continuously optimize to improve the ROI of advertising.
In addition, this new version of HMS Core Analysis Service 6.6.0 also has other performance optimizations in event analysis, project overview and other modules. If you want to know the full content of this version update, you can visit the product update log .
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