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p-Index From 2021 - 2026
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All Journal International Journal of Social Science and Business Priviet Social Sciences Journal
Alfons, Marlyn E.
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Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Implementation of Product Model, Price, Place, Promotion in Improving Noken Sales (OAP) Batlajery, Semuel; Alfons, Marlyn E.
International Journal of Social Science and Business Vol 5, No 1 (2021)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijssb.v5i1.29268

Abstract

This study aims to analyze the Application of Products, Prices, Places, Promotions in Increasing Papua Noken Sales. A qualitative / descriptive or narrative approach in this study. Primary data is direct data from the Noken seller. Secondary data, namely indirect data from informants from brochures, magazines, and others. Data collection techniques: Observation, namely observing the object / place of research. Interviewing is conducting a series of questions and answers to informants who know best about the object of research. The questionnaire contains structured questions to informants. The informants in this study were 5 Yanti Noken and Syria Noken. This study shows that application of Product, Price, Place, Promotion for Noken sales in increasing revenue, models that must be applied: Application of Product Strategy Models, Application of Price Strategy Models, Application of Place Strategy Models, Application of Promotion Strategy Models. The four models must be worked on together because these models are interrelated. In this model, promotion in the midst of the Covid-19 pandemic is the most effective. Promotion that must be done by salespeople, especially through the online social media (Facebook). The seller must be responsible for delivering the order to the customer's place. The implementation of this Promotion Strategy Model must be carried out, in order to increase income, particularly the Merauke buying and selling forum. The price must be affordable according to the pockets of the community, and still listen to government advice to stay at home and keep the distance.
Analysis of referral marketing implementation in increasing online sales Batlajery, Semuel; Longgy, Dodhy Hyronimus Ama; Adiatma, Tini; Alfons, Marlyn E.
Priviet Social Sciences Journal Vol. 6 No. 3 (2026): March 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v6i3.1699

Abstract

This study aims to examine the implementation of referral marketing in increasing online sales in a social-media-based online retail business. A qualitative approach was employed to gain an in-depth understanding of how referral marketing operates in practice and how it contributes to sales growth. Data were collected through observation, in-depth interviews, and documentation, involving five informants selected through purposive sampling. The data were analyzed using the interactive model of Miles and Huberman, which consists of data reduction, data display, and conclusion drawing/verification. The findings show that referral marketing was implemented through a structured mechanism involving referral links, discounts, reward points, and purchase credits. Its effectiveness was further supported by the use of digital platforms such as Instagram, WhatsApp, Facebook, and TikTok, which enabled recommendations to spread more quickly and personally. The study also found that recommendations from friends and family were perceived as more credible than conventional promotional messages, thereby strengthening trust, encouraging new customer acquisition, increasing repeat purchases, and supporting customer loyalty. In addition, referral marketing was perceived as relatively cost-efficient because incentives were only provided when successful transactions occurred. Therefore, referral marketing can be understood as an effective relational digital strategy for supporting online sales growth.
Co-Authors Dodhy Hyronimus Ama Longgy Semuel Batlajery Tini Adiatma