How to understand We hope to decompose the change of the total ratio (payment rate) into the change of the ratio of different dimensions (user groups) and the change of the structure proportion, so that we can easily see: Is it the reason for Whatsapp Database the rise and fall of the ratio of this group, or the rise and fall of the proportion of this group leads to the rise and fall of the whole ratio; Look at the primary and secondary causes of changes Whatsapp Database in the overall ratio and quantify them. After talking about the goal, let's take a look at the understanding of the specific formula. 2.

Effects of Ratio Changes Mainly to quantify the impact of changes in the active user ratio (payment rate) on the change in the overall ratio (payment rate), we __Whatsapp Database__ use AB1′-AB1, which is the absolute amount of change in the active user ratio. However, what we consider is the impact on the change of the overall ratio, so we need to multiply the proportion of Whatsapp Database active users, but the proportion of active users is changing, here we directly multiply (W1′-W1)/2, and use the mean value to stabilize change in proportion. In this way, we can calculate the effect of the change in the active user ratio on the overall ratio change. 3.

The impact of changes in the proportion of the structure Equation 1 only calculates the effect of the change in the active user ratio on the change in the overall ratio. We also need to consider the effect of the change in the active user structure Whatsapp Database on the change in the overall ratio, so there is Equation 2. The understanding of Equation 2 is the same as Equation 1, considering the absolute amount of change in the active user structure, and then Whatsapp Database multiplying it by a stable ratio. Calculation of changes in a single group (active users): Equation 3. In this way we can get a single group change for the total change: