Academia Open
Vol 8 No 1 (2023): June
Business and Economics

Social Network Analysis: User Responses to Lazada Marketplace Promotions
Analisis Jaringan Sosial: Respon Pengguna terhadap Promosi di Lazada Marketplace


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  • Meynur Rohmah Ubaidillah,
  • Rita Ambarwati Sukmono*
Meynur Rohmah Ubaidillah
Universitas Muhammadiyah Sidoarjo, Indonesia
Rita Ambarwati Sukmono
Universitas Muhammadiyah Sidoarjo, Indonesia *

(*) Corresponding Author
Picture in here are illustration from public domain image or provided by the author, as part of their works
DOI: https://doi.org/10.21070/acopen.8.2023.4023
Published June 26, 2023
Keywords
  • User Responses,
  • Marketing Promotional Content,
  • Lazada Marketplace,
  • Social Network Analysis,
  • E-commerce Platforms
How to Cite
Ubaidillah, M. R., & Sukmono, R. A. (2023). Social Network Analysis: User Responses to Lazada Marketplace Promotions. Academia Open, 8(1), 10.21070/acopen.8.2023.4023. https://doi.org/10.21070/acopen.8.2023.4023

Copyright (c) 2023 Meynur Rohmah Ubaidillah, Rita Ambarwati Sukmono

Creative Commons License

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

Abstract

This study employs qualitative research methods to measure and map user interactions with marketing promotional content on Lazada Marketplace, focusing on images related to vouchers, cashback offers, and flash sales. Data was collected from Twitter and analyzed using Wordij and Gephi to filter and process the data. Social Network Analysis (SNA) with Crawling Data was applied to determine user responses. The findings reveal the patterns of user interactions within the Lazada Marketplace, specifically in relation to vouchers, cashbacks, and flash sales. Furthermore, the study identifies the user response trends between 2018-2019 and 2020-2021, highlighting the marketing promotional content that received the most and least responses. Notably, the results indicate a significant user response to "cashback" marketing promotional content in 2020-2021, while user engagement with such content in 2018-2019 was relatively low. This study contributes to a better understanding of user behavior in response to marketing strategies and provides implications for optimizing promotional content on e-commerce platforms.

Highlights:

  • User engagement patterns: This study examines the interactions of Lazada Marketplace users with marketing promotional content, shedding light on the dynamics of user responses and engagement.
  • Cashback effectiveness: The research identifies the effectiveness of "cashback" marketing promotional content, revealing the extent to which users respond to such offers during different time periods.
  • Implications for optimization: The findings have practical implications for e-commerce platforms, providing insights into optimizing promotional strategies and content to enhance user engagement and maximize marketing effectiveness.

Keywords: User Responses, Marketing Promotional Content, Lazada Marketplace, Social Network Analysis, E-commerce Platforms

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References

  1. Ramadhan, F. (2020). "Pemanfaatan Analisis Jaringan Sosial Dalam Penentuan Centrality Dalam Pengembangan Web Berita Online", Journal of Computer and Information Systems Ampera (Vols. Vol. 1, No. 3). Indonesia: https://doi.org/10.51519/journalcisa.v1i3.43.
  2. Azizah Pratika Sari, R. R. (2019). "Pengaruh E-Word Of Mouth Dan E-Trust Terhadap E-Purchase Decision Mahasiswa Universitas Negeri Padang Pada Marketplace Lazada".Jurnal EcoGen (Vols. Volume 2 ,Nomor 4). Palembang: http://dx.doi.org/10.24036/jmpe.v2i4.7844.
  3. Arifin, K. R. (2021). "EVENT FLASH SALE TERHADAP KEPUTUSAN BELANJA ONLINE SELAMA PANDEMI COVID-19 PADA MARKETPLACE SERTA IMPLIKASI PADA KEPUASAN KONSUMEN DI KOTA MALANG", JURNAL SAINS PEMASARAN INDONESIA (Vol. XX). https://doi.org/10.14710/jspi.v20i1.18-32.
  4. Made Kevin Bratawisnu, A. A. (2018). "SOCIAL NETWORK ANALYSIS UNTUK ANALISA INTERAKSI USER DIMEDIA SOSIAL MENGENAI BISNIS E-COMMERCE", JURNAL MANAJEMEN DAN BISNIS (ALMANA) (Vol. VOL. 2 NO.2). https://doi.org/10.36555/almana.v2i2.143.
  5. Ratna Kencana Putri, B. W. (2019). "IMPLEMENTASI ALGORITMA MODIFIED GUSTAFSON-KESSEL UNTUK CLUSTERING TWEETS PADA AKUN TWITTER LAZADA INDONESIA", JURNAL GAUSSIAN (Vols. Volume 8, Nomor 3). Diponegoro: https://doi.org/10.14710/j.gauss.v8i3.26708.
  6. Reza, F. (2016). "STRATEGI PROMOSI PENJUALAN ONLINE LAZADA.CO.ID", Jurnal Kajian Komunikasi (Vols. Volume 4, No. 1). Jakarta: https://doi.org/10.24198/jkk.v4i1.6179.
  7. Doli Witro, M. I.-R. (2021). "Kontestasi Marketplace di Indonesia pada Era Pandemi: Analisis Strategi Promosi Tokopedia, Shopee, Bukalapak, Lazada,dan Blibli dalam Pemulihan Ekonomi Nasional", Jurnal Kajian Ekonomi dan Keuangan Syariah (Vol. 2). https://doi.org/10.53491/oikonomika.v2i2.178.
  8. Herlina, J. L. (2021). "DAMPAK FLASH SALE COUNTDOWN TIMER DI MARKETPLACE ONLINE PADA KEPUTUSAN PEMBELIAN DENGAN MINAT BELI SEBAGAI INTERVENING", Jurnal Digismantech (Vol. Vol 1 (No. 1 )). http://dx.doi.org/10.30813/digismantech.v1i1.2616.
  9. Herlina, J. L. (2021). "PENGARUH MODEL PROMOSI FLASH SALE TERHADAP MINAT PEMBELI DAN KEPUTUSAN PEMBELI DI MARKETPLACE ONLINE", Jurnal Ilmiah MEA (Vol. 5). https://doi.org/10.31955/mea.vol5.iss2.pp1637-1652.
  10. Laksmira K Adhani, R. D. (2020). "PENGARUH WAKTU SEBELUM DAN SELAMA PANDEMI COVID-19 TERHADAP PERILAKU KONSUMEN BELANJA ONLINE". http://eprints.upnyk.ac.id/id/eprint/23988.
  11. Pina Wardani, P. R. (2022). "Strategi Pemasaran Online Alfamart Menghadapi Tantangan Selama Masa Pandemi Covid-19", Jurnal Ilmu Komputer, Ekonomi dan Manajemen (JIKEM) (Vol. 2).
  12. Priandewi, N. M. (2021). PENGARUH KUALITAS PRODUK, DESAIN PRODUK, DAN PROMOSI TERHADAP KEPUTUSAN PEMBELIAN PRODUK DI E-COMMERCE LAZADA, "Jurnal Ilmiah Ilmu Manajemen dan Kewirausahaan" (Vol. Volume 1 Nomor 2). Indonesia: https://doi.org/10.46306/vls.v1i2.34.