A method and device for calculating the degree of influence of external sources on website traffic fluctuations

Abstract

The invention discloses a method and a device for computing influence degree of external sources on website traffic fluctuation which are executed in a computing device. The method comprises: obtaining page view PV and unique visitor UV of a plurality of external sources in two periods, computing the total fluctuation quantity in the two periods, wherein the total fluctuation quantity is the difference of the total quantity PV / UV in the second period and the total quantity PV / UV in the first period; computing the fluctuation influence quantity of every source in the two periods, wherein the fluctuation influence quantity of every source is the sum of the first fluctuation quantity and the second fluctuation quantity, wherein the first fluctuation quantity is the product of the specific value of the UV of every source in the second period and the total UV, and the PV / UV fluctuation quantity of every source in the two periods, the second fluctuation quantity is the product of the difference of the PV / UV of every source in the first period and the total quantity PV / UV, and the ratio of the UV of every source and the total UV; computing the fluctuation influence degree, wherein the fluctuation influence degree is the specific value of the fluctuation influence quantity of every source and the total fluctuation quantity. The invention also discloses a device for computing influence degree of external sources on website traffic fluctuation.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method, device and computing equipment for calculating the degree of influence of external sources on website traffic fluctuations. Background technique [0002] When monitoring website traffic indicators such as page visitors (PV) and unique visitors (UV) fluctuate greatly, it is necessary to analyze the reasons. At present, the analysis method adopted is the dimension segmentation method. Since most of the website traffic is purchase traffic, external sources are very important influencing factors in the dimension segmentation. Through the proportion of PV and UV fluctuations in a certain dimension or cross-dimensions in the total fluctuations, select the dimension with a large contribution, so as to analyze the main reasons for traffic fluctuations. When analyzing, dimension refers to the angle, and it is necessary to analyze the difference or change of a certain statistical ...

AI Technical Summary

Problems solved by technology

[0003] However, when analyzing and calculating indicators, since the operation of indicators refers to the addition, subtraction, multiplication, and division of two indicator values, which involves multiple factors, it is not possible to simply use one factor to measure the cause of the change in the result

In addition, since there is no correlation between the sources, the fluctuation of the total amount is the sum of the influence of multiple sources, and the fluctuation value of a single source will be greater than the fluctuation value of the total, which will also lead to the possible contribution of a certain source to PV or UV fluctuations. More than 100%

There is also no way to measure the impact on overall site traffic when each source goes offline or comes online

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