Mobile Analytics is a mobile app data statistical analysis product launched by Alibaba Cloud, providing developers with one-stop data-based operation services: general multi-dimensional user behavior analysis, data openness and support for custom analysis, data Seamlessly connect with other data application products to help mobile developers realize refined operations based on big data technology, improve product quality and experience, and enhance user stickiness.
Course link: Alibaba Cloud Mobile Data Analysis Service Tutorial
Advantage point
One-stop operation
Provides one-stop product experience from data collection, analysis, processing, application, and mobile data analysis, helping developers to conduct data-based operations and
custom analysis of O&M data more simply and conveniently.
Adhering to the principle of "data belongs to the customer", developers can obtain the collected user behavior data with one click, which is convenient for developers to independently conduct BI analysis, data development and mining with the help of the big data computing service Maxcompute.
Application performance analysis
Collect network performance data of mobile devices and provide multi-dimensional (domain name, request method, province, operator, network) combined analysis.
Stable and trustworthy
It uses the same technical structure as Alibaba Group's internal APPs (such as mobile Taobao), and is developed based on the profound accumulation of Alibaba Group's mobile data analysis services for many years. The products are stable and reliable.
Application Scenarios
Data Custom Analysis
When the basic analysis report cannot meet the personalized needs of App developers, you can synchronize the data to the big data computing service Maxcompute with one click, and further process and analyze your own data according to your own business needs.
Personalized recommendation
The collected app user behavior data can be directly connected to the recommendation engine, and combined with product and user data to meet the business needs for personalized recommendation.
App performance analysis
In addition to basic business data analysis, developers can view performance reports for multi-dimensional combined analysis: request connection time, abnormal network problems, and whether some operation interactions are too slow.
Smart push
The most common way to reach users in app scenarios is to push messages. In the era of personalized marketing, developers can use mobile data to analyze predefined user tags to select precise groups of people to push.
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