Abstract

Many activities in modern business marketing management are random and repetitive. The marketing effect is constantly influenced by a variety of factors such as changing market supply and demand, customers’ purchase intentions, and national financial policy. As a result, Markov analysis can be used to analyze the status and trend of some variables, that is, to predict the future status and trend of a variable based on its current status and trend, in order to forecast possible changes in the future and take appropriate countermeasures. The mathematical model of product marketing prediction is presented in this paper by establishing the probability matrix of product state transition and analyzing and calculating with the Markov chain, resulting in a practical and reliable theoretical basis for economic prediction. After using the Markov analysis method, a suitable mathematical model can be created based on market investigation and statistics, which is extremely useful for making reasonable predictions about the market’s future development trend and improving marketing effectiveness.

Highlights

  • The changing relationship between market supply and demand, customers’ purchase intention, national financial policy, and other factors is constantly affecting the effect of marketing

  • After using the widely used Markov analysis method in engineering, we can create an appropriate mathematical model based on market research and statistics and make a reasonable prediction of the market’s future development trend, which is extremely useful for improving marketing effectiveness

  • Many market factors have an impact on the marketing effect

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Summary

Introduction

The changing relationship between market supply and demand, customers’ purchase intention, national financial policy, and other factors is constantly affecting the effect of marketing. Marketing prediction is a series of plans for the development of future customer groups, including the composition of customer groups, the development prediction of future customer groups, and the optimization strategy and value promotion of customer groups in order to maximize profits [3] There are always these changes in customer value, some increase, some decrease, and even loss. The Markov chain model is used to predict the change trend of customers and formulate the marketing prediction strategy suitable for the actual situation of enterprises. After using the widely used Markov analysis method in engineering, we can create an appropriate mathematical model based on market research and statistics and make a reasonable prediction of the market’s future development trend, which is extremely useful for improving marketing effectiveness. When combined with the simulation results, it highlights the algorithm’s benefits

Related Work
Significance of Marketing Forecast
Markov Analysis Prediction
State Space Classification Method
Analysis and Discussion
Conclusions
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