Marketing assisting method and device

Abstract

The invention provides a marketing assisting method and device. The marketing assisting method comprises the steps of obtaining the marketing date, the target industry and the daily search volume of the target industry; determining a consumption willingness peak period threshold of the marketing date according to a link relative ratio change trend of the daily search volume; determining a window period of the marketing date, and determining a standard computing cycle in the window period according to the consumption willingness peak period threshold; determining a consumption willingness peakperiod corresponding to the marketing date and the target industry according to the consumption willingness peak period threshold by taking the standard computing cycle as a reference in the window period, wherein the consumption willingness peak period threshold comprises at least one threshold, and the consumption willingness peak period comprises at least one corresponding peak period. The marketing assisting method realizes date and industry related local (search volume) outlier identification, so that data interference between two similar marketing dates can be avoided, and an accurate analysis result is obtained so as to assist an advertiser to make marketing decisions.

Description

technical field [0001] The present application relates to the technical field of data analysis, in particular to a marketing assistance method and device. Background technique [0002] It is the key for advertisers in the marketing process to grasp the fluctuation of consumer demand before a specific marketing festival comes. Many industries involve specific marketing festivals, especially before long and short holidays in the tourism industry. Among them, the question that advertisers are often troubled is, how long in advance do target users generally start planning for this specific marketing festival (such as travel planning before a long holiday)? The most ideal solution is to use past data to predict trend data such as searches before specific marketing festivals, and predict in advance when consumers will start to generate willingness and when their consumption willingness will reach its peak. However, the technical issues involved in this solution are too complicat...

AI Technical Summary

Problems solved by technology

[0004] In the existing solutions, judgments are often made directly based on the changing trend of search volume. On the one hand, the analysis results are not accurate enough; on the other hand, it is difficult to avoid data interference between two similar marketing dates (such as Qingming and May Day). , Mid-Autumn Festival and National Day, etc.)

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