<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper proposes and improves the traditional K-means algorithm, utilizes the HC-Kmeans algorithm to deeply analyze the marketing status quo of the M e-commerce platform, and constructs the overall framework of precision marketing based on big data technology. The RFM model is used to measure customer value and segment customer behavior. Formulate marketing strategies that correspond to the consumption habits and preferences of different categories of users. The data from 40 consecutive days of observation is used to verify the precision marketing effect of the A/B testing method, and the final results show a good improvement in the click rate, order rate, payment rate, and order amount. During the Double Twelve Shopping Festival, compared with the traditional mode, the payment amount of M Company’s product recommendation increased by 64,604 yuan, and the order increased by 301 units, so the implementation of the precision marketing strategy was effective.</p>
</abstract>

This paper proposes and improves the traditional K-means algorithm, utilizes the HC-Kmeans algorithm to deeply analyze the marketing status quo of the M e-commerce platform, and constructs the overall framework of precision marketing based on big data technology. The RFM model is used to measure customer value and segment customer behavior. Formulate marketing strategies that correspond to the consumption habits and preferences of different categories of users. The data from 40 consecutive days of observation is used to verify the precision marketing effect of the A/B testing method, and the final results show a good improvement in the click rate, order rate, payment rate, and order amount. During the Double Twelve Shopping Festival, compared with the traditional mode, the payment amount of M Company’s product recommendation increased by 64,604 yuan, and the order increased by 301 units, so the implementation of the precision marketing strategy was effective.

Research on the classification and application of precision marketing based on big data e-commerce platforms

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper proposes and improves the traditional K-means algorithm, utilizes the HC-Kmeans algorithm to deeply analyze the marketing status quo of the M...

Research on the classification and application of precision marketing based on big data e-commerce platforms

Online veröffentlicht: 23. Dez. 2023

Seitenbereich: -

Eingereicht: 03. März 2023

Akzeptiert: 03. Juli 2023

DOI: https://doi.org/10.2478/amns.2023.2.01583

Schlüsselwörter
HC-Kmeans, RFM model, Precision marketing, e-commerce platform

© 2023 Shaobin Dong et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the classification and application of precision marketing based on big data e-commerce platforms

Online veröffentlicht: 23. Dez. 2023

Seitenbereich: -

Eingereicht: 03. März 2023

Akzeptiert: 03. Juli 2023

DOI: https://doi.org/10.2478/amns.2023.2.01583

SchlüsselwörterHC-Kmeans, RFM model, Precision marketing, e-commerce platform

© 2023 Shaobin Dong et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
HC-Kmeans, RFM model, Precision marketing, e-commerce platform