Marketing auxiliary method and device

Abstract

The present invention provides a marketing auxiliary method and device. The method includes: obtaining the marketing date, target industry, and daily search volume of the target industry; determining the peak consumption willingness threshold of the marketing date according to the chain-to-month change trend of the daily search volume; Determine the window period of the marketing date, and determine the standard calculation period in the window period according to the threshold of the consumption willingness peak period; in the window period, take the standard calculation period as a reference, and determine the consumption willingness peak corresponding to the marketing date and the target industry according to the consumption willingness peak period threshold Expect. Wherein, the consumption willingness peak period threshold includes at least one threshold value, and the consumption willingness peak period includes at least one corresponding peak period. The invention realizes date and industry-related partial (search volume) outlier identification, thereby avoiding data interference between two similar marketing dates, obtaining accurate analysis results, and assisting advertisers in making marketing decisions.

Description

Marketing assistance method and device technical field [0001] The application relates to the technical field of data analysis, in particular to a marketing assistance method and device. Background technique Grasping the fluctuation of consumer demand before the coming of a specific marketing festival is the key for advertisers in the marketing process. key. Many industries involve specific marketing holidays, especially the travel industry before long and short holidays. where advertisers are often trapped The problem with harassment is how far in advance target users typically start planning for this particular marketing holiday (such as before a long holiday). travel plans)? The ideal solution is to use past data, trend data such as searches before a particular marketing holiday Make predictions to predict in advance when consumers will begin to generate interest and when their willingness to spend will peak. However, this solution is technically too complex, ...

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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