Jun 21, 2022
In Sports Forum
For ease of understanding, let me explain: The user used the product on January 28, but suddenly found out that there was no traffic, then turned whatsapp Database off the traffic, and reopened it on February 1. At this time, if the delayed reporting strategy is adopted, it can ensure that similar user data will not be used. give up. Maybe it can even help you hit a wave of KPIs! (4) Stability level Judging from the author's use of MTA, the data is still very stable and the retention time is whatsapp Database very long. The data performance can still be traced back to 3 years ago. This is another reason why we chose MTA. Of course, it would be better if the MTA could provide an interface for developers to obtain data for us to keep. Personalization level I have to say it was very meticulous. For example, MTA can open to developers the right to choose page data reporting, that is to say, each developer can whatsapp Database think which pages should be used as time statistics. Let me tell you a personal experience: because there is a page in our APP that is generated externally, similar to a small pop-up window, but it does not represent the real use of the user, and the frequency of whatsapp Database triggering is extremely high. After the product was launched, it was discovered that it turned out that only the duration data generated by this page caused the duration to increase by more than 5 times. Although it looks like a good thing, and it’s good to show it to others, it will affect your judgment and sensitivity to the duration data later, which is whatsapp Database unbearable as a data operator. 3. Data dimension At present, the existing dimensions of MTA, from data overview to anti-cheating, cover 8 major aspects. Compared with other platforms (as shown in the figure below), we will find that MTA will be more comprehensive in the data dimension, and whatsapp Database cover more products and operation scenarios. Figure 6 (Left 1, Left 2, MTA, Left 3, Baidu Statistics, Left 4, Zhuge IO) From the perspective of analyzing the user life cycle.