CULTURAL ADAPTATION AND AUTOMATED SYSTEMS IN E-COMMERCE COPYWRITING: OPTIMIZING CONVERSION RATES IN THE INDONESIAN MARKET
DOI:
https://doi.org/10.1234/ijebs.v1i1.4Keywords:
E-commerce, Copywriting, Sales Conversion, Indonesia, Digital Marketing, APCG, Consumer BehaviorAbstract
This study examines the effectiveness of copywriting strategies in enhancing sales conversion rates across Indonesian e-commerce platforms. As digital commerce continues to grow rapidly in Indonesia, understanding the impact of effective copywriting on consumer behavior and purchase decisions has become increasingly crucial. Through a comprehensive analysis of existing literature and data from major Indonesian e-commerce platforms, this research investigates how various copywriting elements influence conversion rates. The study particularly focuses on automated copywriting systems, product descriptions, and their integration with interactive features. Findings indicate that well-crafted copywriting significantly impacts sales conversion rates through multiple mechanisms: enhanced product descriptions generated by Automatic Product Copywriting Generation (APCG) systems show improved user engagement; aesthetically pleasing content combined with clear price information demonstrates increased conversion rates across product categories; and the integration of copywriting with interactive features such as live chat further facilitates consumer decision-making. Moreover, the research reveals that focusing on either quality or promotional aspects in copywriting, rather than mixing attributes, leads to better conversion outcomes for small and medium-sized enterprises (SMEs). The study concludes that strategic copywriting implementation, particularly when combined with automated systems and interactive features, plays a pivotal role in improving e-commerce conversion rates in the Indonesian market. These findings provide valuable insights for e-commerce platforms seeking to enhance their sales performance through optimized copywriting strategies.References
Anurag, Singh, R., Sharma, P., & Dutt, V. (2023). E-commerce: the Enhancement with the Integration of AR and VR. 2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT), 163–168. https://doi.org/10.1109/ICAICCIT60255.2023.10465861
Chaudhary, N., & Roy Chowdhury, D. (2019). Data Preprocessing for Evaluation of Recommendation Models in E-Commerce. Data, 4(1), 23. https://doi.org/10.3390/data4010023
Chen, J., Zhuo, Z., Chen, M., Li, Z., & Wang, A. (2022). Research on the Impact of E-servicescape on Consumers’ Behavior Intention in the Context of E-commerce Live Broadcast (pp. 365–380). https://doi.org/10.1007/978-3-031-10385-8_27
Cui, T., Wang, Y., & Namih, B. (2019). Build an Intelligent Online Marketing System: An Overview. IEEE Internet Computing, 23(4), 53–60. https://doi.org/10.1109/MIC.2019.2924637
Delvert, M., & Spielmann, N. (2017). To Adapt or to Standardize, A New Challenge for Copywriting: Could Globish be the (Right) Answer? (pp. 225–225). https://doi.org/10.1007/978-3-319-50008-9_62
Di Fatta, D., Patton, D., & Viglia, G. (2018). The determinants of conversion rates in SME e-commerce websites. Journal of Retailing and Consumer Services, 41, 161–168. https://doi.org/10.1016/j.jretconser.2017.12.008
Dunn, B. C., Frasincar, F., Matsiiako, V., Boekestijn, D., & van der Knaap, F. (2024). Bayes goes big: Distributed MCMC and the drivers of E-commerce conversion. Expert Systems with Applications, 252, 124116. https://doi.org/10.1016/j.eswa.2024.124116
Galvez-Torres, E., Cruz-Alfaro, M., Cespedes-Blanco, C., Raymundo, C., Mamani-Macedo, N., & Dominguez, F. (2020). B2B Marketing Method Adapted to Sales Improvement Through the Implementation of ABC Classification Tool and Inbound Marketing in SMEs (pp. 167–173). https://doi.org/10.1007/978-3-030-50791-6_21
Gnezdilova, E. V., & Selezneva, L. V. (2019). Copywriting in Online Education. 2019 International Conference “Quality Management, Transport and Information Security, Information Technologies” (IT&QM&IS), 601–603. https://doi.org/10.1109/ITQMIS.2019.8928290
Gopagoni, D. R., Lakshmi, P. V., & Siripurapu, P. (2021). Predicting the Sales Conversion Rate of Car Insurance Promotional Calls (pp. 321–329). https://doi.org/10.1007/978-981-15-6014-9_37
Gu, S. (2023). Research on Cross-Border E-Commerce Customer Service System under the Integration of Computer Big Data. 2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA), 49–53. https://doi.org/10.1109/EEBDA56825.2023.10090598
Guo, X., Zeng, Q., Jiang, M., Xiao, Y., Long, B., & Wu, L. (2022). Automatic Controllable Product Copywriting for E-Commerce. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2946–2956. https://doi.org/10.1145/3534678.3539171
Ingriana, A., Hartanti, R., Mulyono, H., & Rolando, B. (2024). Pemberdayaan E-Commerce: Mengidentifikasi Faktor Kunci Dalam Motivasi Pembelian Online. Jurnal Manajemen Dan Kewirausahaan (JUMAWA), 1(3), 101–110. Retrieved from https://abadiinstitute.org/index.php/JUMAWA/article/view/47
Ingriana, A., Prajitno, G. G., & Rolando, B. (2024). THE UTILIZATION OF AI AND BIG DATA TECHNOLOGY FOR OPTIMIZING DIGITAL MARKETING STRATEGIES. International Journal of Economics And Business Studies, 1(1), 21–42. doi: 10.1234/IJEBS.V1I1.1
Jin, S. V., & Youn, S. (2022). “They bought it, therefore I will buy it”: The effects of peer users’ conversion as sales performance and entrepreneurial sellers’ number of followers as relationship performance in mobile social commerce. Computers in Human Behavior, 131, 107212. https://doi.org/10.1016/j.chb.2022.107212
Liu, C., Qin, L., & Xiao, G. (2024). Relationship Research Between Tourism E-commerce Maturity and Customer Loyalty Based on AMOS Model. https://doi.org/10.3233/FAIA240284
Liu, X., Lee, D., & Srinivasan, K. (2019). Large-Scale Cross-Category Analysis of Consumer Review Content on Sales Conversion Leveraging Deep Learning. Journal of Marketing Research, 56(6), 918–943. https://doi.org/10.1177/0022243719866690
Lo, C., Yu, H., Yin, X., Shetty, K., He, C., Hu, K., Platz, J. M., Ilardi, A., & Madhvanath, S. (2021). Page-level Optimization of e-Commerce Item Recommendations. Fifteenth ACM Conference on Recommender Systems, 495–504. https://doi.org/10.1145/3460231.3474242
Lutfi, A., & Fasciani, S. (2017). Towards Automated Optimization of Web Interfaces and Application to E-commerce. 2017 International Conference on Computer and Applications (ICCA), 79–84. https://doi.org/10.1109/COMAPP.2017.8079735
Lv, J. (2021). Optimization of E-Commerce Logistics System Based on Artificial Intelligence Technology. Journal of Physics: Conference Series, 1881(3), 032062. https://doi.org/10.1088/1742-6596/1881/3/032062
Madanchian, M. (2024). The Impact of Artificial Intelligence Marketing on E-Commerce Sales. Systems, 12(10), 429. https://doi.org/10.3390/systems12100429
Maguire, M. (2023). A Review of Usability Guidelines for E-Commerce Website Design (pp. 30–43). https://doi.org/10.1007/978-3-031-35702-2_3
Meiryani, M., Juwita, A., Agustini, A., Siauwijaya, R., & Adriana, M. (2021). The Influence of Covid-19 Pandemic on E-Commerce Transactions on Shopee Indonesia. The 2021 12th International Conference on E-Business, Management and Economics, 35–42. https://doi.org/10.1145/3481127.3481198
Mulyono, H. (2024). Pengaruh Diskon Tanggal Kembar Pada E-Commerce Terhadap Keputusan Pembelian | International Journal of Economics And Business Studies. International Journal of Economics And Business Studies (IJEBS), 1(1), 1–20. Retrieved from https://journal.dinamikapublika.id/index.php/IJEBS/article/view/2
Mulyono, H., & Rolando, B. (2025). Consumer boycott movements: Impact on brand reputation and business performance in the digital age. Multidisciplinary Reviews, 8(9), 2025291–2025291. doi: 10.31893/MULTIREV.2025291
Prabowo, I. P. D. A. S., Sartika, W., & Yansyah, D. (2023). Recommendations of e-commerce website design for MSME local products in Balikpapan based on competitive research. 030001. https://doi.org/10.1063/5.0140150
Raju, R., Qbrien, B., & Kalaiselvi, R. (2018). Detection and Prevention of Copywriting Multimedia Contents in Youtube Using Multi-Keyword Ranking Algorithm. 2018 Internat2018 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)Ional Conference on Computation of Power, Energy, Information and Communication (ICCPEIC), 197–202. https://doi.org/10.1109/ICCPEIC.2018.8525154
Regino, A. G., Caus, R. O., Hochgreb, V., & Reis, J. C. dos. (2023). Leveraging Knowledge Graphs for E-commerce Product Recommendations. SN Computer Science, 4(5), 689. https://doi.org/10.1007/s42979-023-02149-6
Robles, V. D. (2019). Caveat Emptor: How Lay Technical and Professional Communicators Sell Technical Products in C2C E-Commerce. IEEE Transactions on Professional Communication, 62(4), 364–384. https://doi.org/10.1109/TPC.2019.2946940
Rodrigues, P. (2021). Trust in E-Commerce (pp. 179–196). https://doi.org/10.4018/978-1-7998-1843-4.ch010
Rolando, B. (2024). PENGARUH FINTECH TERHADAP INKLUSI KEUANGAN : TINJAUAN SISTEMATIS. Jurnal Akuntansi Dan Bisnis (Akuntansi), 4(2), 50–63. doi: https://doi.org/10.51903/jiab.v4i2.808
Rolando, B. (2025a). Examining Multi-Factor Marketing Dynamics on Consumer Purchase Intention: A TikTok Shop Analysis. Journal of Business and Economics Research (JBE), 6(1), 213–224. doi: 10.47065/JBE.V6I1.6952
Rolando, B. (2025b). Exploring the Financial Drivers of Peer-to-Peer Lending Usage: Evidence from the Indonesian Fintech Landscape. Ekonomi, Keuangan, Investasi Dan Syariah (EKUITAS), 6(3), 449−462-449−462. doi: 10.47065/EKUITAS.V6I3.6963
Rolando, B. (2025c). FOMO, Promotions, and Payment Methods Influencing Indonesian E-Commerce Impulse Buying. TIN: Terapan Informatika Nusantara, 5(9), 536–552. doi: 10.47065/TIN.V5I9.7052
Rolando, B. (2025d). Integrating Payment Systems with Social Features: Post-Voucher War Strategies for E-Commerce Sustainability. Journal of Business and Economics Research (JBE), 6(1), 289–305. doi: 10.47065/JBE.V6I1.6962
Rolando, B. (2025e). Marketing Automation in E-Commerce: Optimizing Customer Journey, Revenue Generation, and Customer Retention Through Digital Innovation. Jurnal Ilmiah Manajemen Dan Kewirausahaan (JUMANAGE), 4(1), 566–580.
Rolando, B. (2025f). Pengaruh Pendapatan, Persepsi Resiko, Persepsi Kemudahan Dan Literasi Keuangan Terhadap Minat Untuk Menggunakan Paylater. Ekonomi, Keuangan, Investasi Dan Syariah (EKUITAS), 6(3), 417−427-417−427. doi: 10.47065/EKUITAS.V6I3.6953
Rolando, B., & Ingriana, A. (2024). SUSTAINABLE BUSINESS MODELS IN THE GREEN ENERGY SECTOR: CREATING GREEN JOBS THROUGH RENEWABLE ENERGY TECHNOLOGY INNOVATION. International Journal of Economics And Business Studies, 1(1), 43–56. doi: 10.1234/IJEBS.V1I1.3
Rolando, B., & Mulyono, H. (2024a). Antecedents of Students’ Entrepreneurial Intentions in Indonesia: The Moderating Effect of Parental Involvement. Terapan Informatika Nusantara, 5(6), 367–377. doi: 10.47065/tin.v5i6.6057
Rolando, B., & Mulyono, H. (2024b). Managing Risks In Fintech: Applications And Challenges Of Artificial Intelligence-Based Risk Management. Economics and Business Journal (ECBIS), 2(3), 249–268.
Rolando, B., & Mulyono, H. (2025). User-Generated Content as a Strategic Marketing Tool: A Multi-Regional Analysis of Consumer Purchase Decisions and Brand Engagement the Home Industry in the Digital Economy Era. TIN: Terapan Informatika Nusantara, 5(9), 553–567. doi: 10.47065/TIN.V5I9.6896
Rolando, B., & Winata, V. (2024). Analisis Pengaruh Konten Tiktok Terhadap Keputusan Pembelian Di Tiktok Shop: Studi Kasus Pada Mahasiswa Universitas Bunda Mulia Jakarta. Jurnal Ilmu Manajemen, Bisnis Dan Ekonomi (JIMBE), 1(6), 199–212.
Rolando, B., Mulyono, H., Hartanti, R., & Ingriana, A. I. (2024). Exploring The Theory Of Financial Innovation In The Context Of Industry 4.0. Management, Economics, Trade, and Accounting Journal (META-JOURNAL), 1(4), 147–158.
Saco, M., Galiano, A., & Rodríguez, V. (2020). Learning from the sales conversion rate throughout its Product Life Cycle analysis: a case of study for the Spanish Automotive sector. E+M Ekonomie a Management, 23(1), 184–198. https://doi.org/10.15240/tul/001/2020-1-013
Singh, N. T., Singh, S., Singh, S., Arora, A., Dhaundiyal, A., & Narang, A. (2023). Transforming E-Commerce: Augmented Reality (AR) and Virtual Reality (VR) Integration for Interactive and Immersive Shopping Experiences. 2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech), 1–5. https://doi.org/10.1109/IEMENTech60402.2023.10423551
Sohanda, M. K., Gupta, M., & Kalpana, A. V. (2024). Interactive E-Commerce: Addressing Cart Abandonment through Gamified User Engagement. 2024 International Conference on Communication, Computing and Internet of Things (IC3IoT), 1–5. https://doi.org/10.1109/IC3IoT60841.2024.10550373
Sudhakara, M., K. R., B., Kumar, M. R., Badrinath, N., & Rangaswamy, K. (2022). Customer Purchase Prediction and Potential Customer Identification for Digital Marketing Using Machine Learning (pp. 95–111). https://doi.org/10.4018/978-1-6684-4246-3.ch006
Sun, H., Chen, J., & Fan, M. (2021). Effect of Live Chat on Traffic‐to‐Sales Conversion: Evidence from an Online Marketplace. Production and Operations Management, 30(5), 1201–1219. https://doi.org/10.1111/poms.13320
Taherdoost, H. (2023). Analysis and Performance Measurement in E-Business (pp. 351–378). https://doi.org/10.1007/978-3-031-39626-7_14
Terra, L., & Casais, B. (2021). Moments of Truth in Social Commerce Customer Journey: A Literature Review (pp. 236–242). https://doi.org/10.1007/978-3-030-76520-0_24
Tong, T., Xu, X., Yan, N., & Xu, J. (2022). Impact of different platform promotions on online sales and conversion rate: The role of business model and product line length. Decision Support Systems, 156, 113746. https://doi.org/10.1016/j.dss.2022.113746
Vij, A., Vij, M., Farouk, M., & Kumar, P. (2024). Evaluating the Effectiveness of AI-Integrated Digital Marketing on Consumer Behavior, Brand Perception, and Sales Performance. 2024 2nd International Conference on Cyber Resilience (ICCR), 1–6. https://doi.org/10.1109/ICCR61006.2024.10533049
Zhang, Y., & Zhang, Y. (2024). The Influence of Digital Literacy on the Phenomenon of Deviation between Farmers’ E-Commerce Sales Willingness and Behavior: Evidence from Rural China. Sustainability, 16(7), 3000. https://doi.org/10.3390/su16073000
Zhong, Q., Zhou, L., Zhang, J., & Ji, T. (2025). The inverted U-shape of consumer reviews and conversion rates: The moderating role of store longevity and transaction volume on service-selling platforms. Journal of Retailing and Consumer Services, 82, 104063. https://doi.org/10.1016/j.jretconser.2024.104063
Zou, Y., Zhang, X., Zhou, J., Diao, S., Chen, J., Ding, Z., He, Z., He, X., Xiao, Y., Long, B., Ma, M., Xu, S., Yu, H., & Wu, L. (2023). Automatic product copywriting for e‐commerce. AI Magazine, 44(1), 41–53. https://doi.org/10.1002/aaai.12084
