2024
DOI: 10.33395/sinkron.v9i1.13024
|View full text |Cite
|
Sign up to set email alerts
|

Internet Service Provider User Customer Lifetime Segmentation Analysis using RFM and K-Means Algorithm

Muhammad Febrian Rachmadhan,
Mohamad Hafidhul Umam,
Arief Wibowo
et al.

Abstract: The characteristics of each customer can be segmented using RFM (Recency, Frequency, Monetary) which means customer's last transaction time, number of customer transactions, and amount of money spent. The Lifetime and K-Means methods are used to perform the process of clustering or grouping customers based on segmentation through RFM. The results will be divided into 4 clusters namely Gold, Silver, Platinum and Diamond. The results of clustering are visualized with graphs and cluster tables containing the resu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 15 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?