Analysis service real-time overview data to help developers data operations

Scenario 1: Timely assessment of activity traffic

Usually, when a new activity is launched, the traffic monitoring at the day or hour level is relatively rough, and operators cannot accurately locate the root cause of the abnormality through more detailed fluctuation nodes, and the lag adjustment of decision-making may lead to a significant reduction in the effect of the activity. minute-level traffic analysis can accurately determine the fluctuation trend of new users in the current application, and help operators to accurately determine the best time for activity , which has reference significance for later activity optimization.

*Data comes from test environment, not real data

Scenario 2: New version effect tuning

The ever-changing product usage demands of users promote the further acceleration of the iterative process, and timely data feedback can help operational science measure the performance of the new version and market feedback. For example, for a game, when a new version is released, the player's acceptance of the material will directly affect the turnover income. The real-time data dashboard can show players' acceptance of the new version. For abnormal fluctuations, timely tuning and intervention through operational means can reduce the risk of launching each new version.

*Data comes from test environment, not real data

Scenario 3: Real-time understanding of user characteristics

Does the user’s in-app journey align with the product design? Are the attributes of new users, such as model and city distribution, consistent with the new target? Want to understand the high-frequency in-app behavior of users during the current time period? A real-time overview can do it all.

" User Analysis " shows the real-time attribute distribution of the current user in detail, and the card-style presentation method makes the user's attribute distribution characteristics such as channels and application versions more intuitive.

*Data comes from test environment, not real data

"Event Analysis" allows you to understand the high-frequency in-app behavior of current users, and find the best interaction time for Push and in-app message push.

*Data comes from test environment, not real data

Log in to AppGallery Connect, go to the "My Projects" entry, select the corresponding project, and display it instantly through " Huawei Analysis - Overview - Real-time Overview ". ¬

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