Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Wavelet Time Scale Modelling of Brand Sales and Prices

Version 1 : Received: 3 May 2022 / Approved: 6 May 2022 / Online: 6 May 2022 (09:11:54 CEST)

How to cite: Alanazi, T.; Ben Mabrouk, A. Wavelet Time Scale Modelling of Brand Sales and Prices. Preprints 2022, 2022050067 (doi: 10.20944/preprints202205.0067.v1). Alanazi, T.; Ben Mabrouk, A. Wavelet Time Scale Modelling of Brand Sales and Prices. Preprints 2022, 2022050067 (doi: 10.20944/preprints202205.0067.v1).

Abstract

Marketing is the manner of how to make our sales the best in the market, our prices the most accessible, our clients satisfactory, and thus our brand is the largest distributed. This needs sophisticated and advanced understanding of the total network related. Indeed, marketing data may be seen in different forms such as qualitative and quantitative. However, in the literature, it is easily noticed that large bibliography may be collected about qualitative studies, against few studies on the quantitative point of view. This is a major drawback that makes the marketing science still focusing on the design, although the market is strongly depending on quantities such as money and time. Indeed, marketing data may be a time series such as brand sales per specified periods, brand related-prices over specified periods, market shares, ..., etc. The purpose of the present work is to investigate some marketing models based on time series due to brands. We will precisely study the effect of the time scale on the persistence of brands sales in the market and on the forecasting of such a persistence according to the characteristics of the brand and the related market competition or competitors. Our study is acted on a sample of Saudi brands during the period November 22, 2017 to December 30, 2021.

Keywords

Wavelets; Multi scale; Mathematical models; Brand sales.; Brand prices

Subject

SOCIAL SCIENCES, Marketing

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