[Huawei Developers] Jack Wu Shenzhen:
The large number of travel apps on the market makes it difficult to retain users. So, how to boost user stickiness and frequency of usage? You may be eager to know the answer.

Well, Analytics Kit 6.3.0 can answer this question. Recently, it has released travel industry analysis reports that show key data indicators related to travel, hotel booking, and other related services, providing key insight on user behavior and priorities.

1. Key Indicators for a Clear Overview of Operations Status

Data overview displays basic operations indicators, such as the numbers of new users, registered users, active users, and paying users, while also showing revenue indicators that are of most interest to you, like order quantity and revenue of flight tickets, train tickets, and hotel bookings, as well as total order trends. You can use this broad array of data to get a quick sense of which strategies to pursue.

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2. Core Service Data Analysis for a Better User Experience

Users have different travel requirements. For example, family travelers tend to focus on parent-child services, travelers to another country prioritize quality and cost-effectiveness, whereas business travelers pay more attention to convenience and speed. You can use high-level analysis of travel and hotel data to design personalized products that appeal to specific types of users.

Travel analysis displays the trends of flight ticket purchases, train ticket purchases, and vehicle for hire orders, as well as user distribution by ticket type and service provider. This can help you recommend products based on user travel preferences, to offer a more professional level of service and efficiency.

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Hotel analysis shows user travel requirements from dimensions such as hotel booking and revenue, distribution of booked hotel types, and popular booked hotels, so that you can recommend hotels that match precisely with individual users' preferences for types and locations.

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3. Out-of-the-Box Event Tracking Templates

To further bolster event tracking efficiency, Analytics Kit also provides out-of-the-box event tracking templates for travel apps. Event tracking configuration can be done via coding, HMS Toolkit, or adding visual events. Event tracking mapping is also supported, which means that you can configure rules to map custom events to predefined events in Analytics Kit. After events are reported, you'll then be able to view industry analysis reports on the Industry analysis page.

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4. Multi-Dimensional Data Analysis for Fine-Tuning Operations

To boost user stickiness and activity, you can use Analytics Kit for data analysis in multiple dimensions to drive more fine-tuning operations that optimize user experience. Thanks to functions like session path analysis and funnel analysis, you'll get a clear view of conversion paths, and then be able to determine appropriate incentives.

For instance, before a trip, a user will usually check the itinerary, reserve tickets or hotel rooms, and browse travel guides. Based on the user's destination of interest, you can boost user activity via methods like price drop notifications or packaged booking recommendations before purchase to promote the final conversion.

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.