Analysis of Marketing Mix Strategies to Improve Customer Satisfaction and Loyalty Using Structural Equation Modeling Method
Adisty Azzahra Noeya1, Agus Achmad Suhendra2, dan Sri Martini3
1Adisty Azzahra Noeya, Department of Industrial Engineering, Telkom University, Bandung-Dayeuhkolot (Jawa Barat), Indonesia.
2Agus Achmad Suhendra, Department of Industrial Engineering, Telkom University, Bandung-Dayeuhkolot (Jawa Barat), Indonesia.
3dan Sri Martini, Department of Industrial Engineering, Telkom University, Bandung-Dayeuhkolot (Jawa Barat), Indonesia.
Manuscript received on 22 November 2024 | First Revised Manuscript received on 29 November 2024 | Second Revised Manuscript received on 24 January 2025 | Manuscript Accepted on 15 February 2025 | Manuscript published on 28 February 2025 | PP: 1-5 | Volume-11 Issue-6, February 2025 | Retrieval Number: 100.1/ijmh.D177111041224 | DOI: 10.35940/ijmh.D1771.11060225
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Instant seasoning is a processed product made from various spices that is currently in high demand among many people, with many emerging variants. The abundance of instant seasoning producers has led to intense competition among them. XYZ Instant Seasoning, as one of the instant seasoning producers located in Bukittinggi City, needs to devise the right marketing strategy. The objective of this study is to determine the influence of the 7Ps marketing variables consisting of product, price, promotion, process, place, people, and physical evidence on customer satisfaction and loyalty as considerations for the company in determining marketing strategies. Data analysis is conducted using the Structural Equation Modeling (SEM) method. The respondents involved in this study are 163 respondents, obtained through purposive sampling method. The results of the analysis indicate that the variables product, price, promotion, place, and process have a significant influence on customer loyalty.
Keywords: Marketing Mix, Customer Satisfaction, Customer Loyalty, Structural Equation Modeling (SEM)
Scope of the Article: Marketing