The revolution of camera tools has led to the era of selfies, and this era will continue until it is changed again by the next tool. The times are so whatsapp Database affected by tools. As a product manager, we will also be affected by tools, including ink knives, nails, blue lakes, graphite, etc. More and more new tool changes are quietly changing of this industry. Of course, the protagonist of this article: MTA (Tencent Mobile Analytics), will continue to undergo whatsapp Database new changes, exert its mission value as a tool, and bring new data-driven methods to the entire mobile Internet industry. Data-driven products/operations will never be an established goal, but a sustainable process.
During this process, the tools we use for data monitoring and analysis will directly affect our daily work. Influence our judgment on the direction whatsapp Database of the product and influence our decision-making. Ultimately, data tools will influence whether our product succeeds or fails. In fact, I have great expectations for the topics that I will discuss next. If I can enter the iterative schedule of the MTA, I will be very fortunate to be an audience user of whatsapp Database such a product. What I'm looking forward to is a small change in " active days ". 1. Overview of Active Days Active days is an early function of MTA. The specific launch time is unknown. In my memory, this module already existed in 2017.
In simple terms, active days is a data object that records the user's login days in the statistical period. We believe that within the period, the more whatsapp Database active days, the stronger the user's stickiness, and the lower the active days, the weaker the user's stickiness. In the Demo data provided by MTA, we found that in the 7-day cycle from 2018-5-25 to 2018-6-1, on whatsapp Database the day of 5-29, the proportion of users who logged in for two days accounted for 11%, and some 5 days login 5% of users with behavior