Marketing Analysis

Ling Chen; Xingjian  Lyu; Zhenyu Tian; Gabriela Mogos

doi:10.5281/zenodo.4577895

Marketing Analysis

Ling Chen , Xingjian Lyu, Zhenyu Tian, Gabriela Mogos^*

^*Corresponding author for this work

Department of Computing

School of Advanced Technology

Research output: Contribution to journal › Article › peer-review

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Abstract

Data from the past contains information that will be useful in the future. It works because customer behaviors captured in corporate data are not random,
but reflect the differing needs, preferences, propensities, and treatments of customers.
The paper presents a study related to the 6 indicators (star, helpful votes, total votes, vine, verified, review) which can help a company to be more competitive in the market.

Original language	English
Pages (from-to)	44-51
Number of pages	8
Journal	International Journal of Computer Science and Information Security
Volume	19
Issue number	2
DOIs	https://doi.org/10.5281/zenodo.4577895
Publication status	Published - Apr 2021

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title = "Marketing Analysis",

abstract = "Data from the past contains information that will be useful in the future. It works because customer behaviors captured in corporate data are not random,but reflect the differing needs, preferences, propensities, and treatments of customers. The paper presents a study related to the 6 indicators (star, helpful votes, total votes, vine, verified, review) which can help a company to be more competitive in the market.",

author = "Ling Chen and Xingjian Lyu and Zhenyu Tian and Gabriela Mogos",

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AB - Data from the past contains information that will be useful in the future. It works because customer behaviors captured in corporate data are not random,but reflect the differing needs, preferences, propensities, and treatments of customers. The paper presents a study related to the 6 indicators (star, helpful votes, total votes, vine, verified, review) which can help a company to be more competitive in the market.

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DO - 10.5281/zenodo.4577895

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JO - International Journal of Computer Science and Information Security

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Marketing Analysis

Abstract

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