Abstract
In-depth analysis of corporate marketing data is conducive to companies making sound marketing decisions in blockchain. This paper proposed a marketing data analysis method based on contour curve for the deep analysis of marketing data. Firstly, the analysis of marketing data contour, standard deviation, frequency and monotonicity is given. Then, based on the above parameter analysis, the total, mean, kurtosis and skewness of the marketing data contour are given. And the concentration degree was analyzed. Finally, the kurtosis, skewness and concentration of the marketing data were analyzed experimentally through simulation experiments. The analysis of the three abstract scales can play a more positive effect on the formulation of the sales strategy.
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Acknowledgment
This work was supported by Guiding Project of Quzhou Science and Technology Plan in 2018 (2018004).
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Wang, Y., Li, J. (2020). Research on Marketing Data Analysis Based on Contour Curve in Blockchain. In: Zheng, Z., Dai, HN., Tang, M., Chen, X. (eds) Blockchain and Trustworthy Systems. BlockSys 2019. Communications in Computer and Information Science, vol 1156. Springer, Singapore. https://doi.org/10.1007/978-981-15-2777-7_46
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DOI: https://doi.org/10.1007/978-981-15-2777-7_46
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