Application of Market Basket Analysis on Beauty Clinic to Increasing Customer’s Buying Decision

Author:

Dio Rafi,Dermawan Aulia Agung,Putera Dimas Akmarul

Abstract

Beauty care and the need for cosmetics have become the lifestyle of modern women, especially in big cities. Public awareness to look beautiful makes modern women competing to take care of themselves to be more beautiful. The body care industry in Indonesia continues to grow. The growth has reached 6% and is predicted to continue to grow along with the high concern of Indonesian women in caring for their skin. To win the competition, companies need to know the market and consumer situation. One strategy that can be applied by the company is to use a promotional or advertising strategy. This research was conducted at the Ariana Audy beauty clinic in 2022 with the aim of identifying customer buying patterns which will then be used as reference material in the development of promotional menus for products and services offered by the beauty clinic. The approach used to design components on the promotional menu is Market Basket Analysis by applying the fp-growth algorithm using rapid miner software. Market basket analysis is focused on finding relationships between products based on customer purchases. The market basket analysis conducted resulted in 5 association rules that define consumer purchasing patterns for products and services provided by the Ariana Audy clinic. Through the 5 association rules formed, 3 promotional menus were produced, namely menu 1 consisting of baby skin crystal and oxy blue cream, menu 2 consisting of brightening cream products and sunscreen brightening, and menu 3 consisting of oxy jet peel and photodynamic therapy.

Publisher

Politeknik Ganesha

Subject

General Earth and Planetary Sciences,General Environmental Science

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Unveiling Consumer Behavior Patterns: A Comprehensive Market Basket Analysis for Strategic Insights;2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT);2024-04-19

2. Association rule mining algorithm implementation for e-commerce in the retail sector;Journal of Applied Research in Technology & Engineering;2024-04-11

3. Market Basket Analysis for Retail Sales Optimization;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

4. Business Intelligence Model for Customer Targeting Using Fuzzy-C-Means and FP-Growth;2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA);2023-10-10

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