Pricing Strategy in Digital Marketing: A Systematic Review of the Value-Based Approach
DOI:
https://doi.org/10.55927/eajmr.v5i3.46Keywords:
Pricing strategy, Digital marketing, Perceived value, Value-based pricing, Systematic Literature ReviewAbstract
This study systematically examines the implementation of value-based pricing (VBP) in digital marketing and identifies persisting theoretical and empirical gaps. Utilizing a Systematic Literature Review (SLR) guided by PRISMA, 30 selected scholarly articles from the Scopus database (2020–2025) were analyzed based on specific inclusion criteria. The findings are categorized into five main themes: the centrality of perceived value, integration of technology and AI, organizational capabilities, differences in implementation between B2B and B2C contexts, and sector-specific characteristics. The review also reveals methodological and contextual limitations, as well as the absence of an integrative model that digitally aligns value and price. This study extends the theoretical framework of value-based pricing and offers strategic guidance for designing adaptive digital pricing systems rooted in consumer perception. Future research recommendations focus on the integration of ethics, fairness, and predictive technology into pricing algorithms.
References
Ali, A., & Bhasin, J. (2020). Understanding customer repurchase intention in e-commerce: Role of perceived price, delivery quality, and perceived value. SAGE Open. https://www.researchgate.net/publication/333781442
Awal, R. I. R., Rahayu, A., Hendrayati, H., & Heryana, N. (2023). Digital value-based pricing strategy in tourism marketing: A systematic literature review approach. https://www.researchgate.net/publication/388674601
Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. SAGE Publications. https://us.sagepub.com/en-us/nam/thematic-analysis/book267178
Christen, T., Hess, M., Grichnik, D., & Wincent, J. (2022). Value-based pricing in digital platforms: A machine learning approach to signaling beyond core product attributes in cross-platform settings. Journal of Business Research. https://www.sciencedirect.com/science/article/pii/S0148296322006531
Grewal, D., Roggeveen, A. L., Compeau, L. D., & Levy, M. (2012). Retail value-based pricing strategies: New times, new technologies, new consumers. Journal of Retailing, 88(1), 1–6. https://www.sciencedirect.com/science/article/pii/S0022435911001102
Han, G., Feng, Z., Chen, S., Xue, X., & Wu, H. (2024). Evaluating differential pricing in e-commerce from the perspective of utility. Electronic Commerce Research and Applications, 59, 101260. https://www.sciencedirect.com/science/article/pii/S1567422324000188
Harmon, R., Demirkan, H., & Hefley, B. (2009). Pricing strategies for information technology services: A value-based approach. IEEE Computer Society. https://www.academia.edu/download/39257803/
Hinterhuber, A. (2023). Customer value-based pricing strategies: Why companies resist. Journal of Business Strategy, 29(4), 41–50. https://hinterhuber.com/wp-content/uploads/2022/04/Customer-value-based-pricing-strategies-obstacles-JoBS-2008.pdf
Hinterhuber, A., & Snelgrove, T. C. (2021). Value first, then price: Quantifying value in business-to-business markets from the perspective of both buyers and sellers (2nd ed.). Routledge. https://hinterhuber.com/wp-content/uploads/2016/10/Value-first-then-price-2e_2022.pdf#page=34
Hoang, T. (2022). E-commerce managers' perceptions of pricing strategies (Master’s thesis). University of Jyväskylä. https://jyx.jyu.fi/jyx/Record/jyx_123456789_84232
Iseal, S., & Halli, M. (2025). Dynamic Pricing Strategies Using Machine Learning in E-Commerce. ResearchGate. https://www.researchgate.net/publication/388779531
Khan, A. S., Bilal, M., Saif, M., & Shehzad, M. (2020). Impact of digital marketing on online purchase intention: Mediating effect of brand equity & perceived value. ResearchGate. https://www.researchgate.net/publication/344324022
Liu, C., Wang, S., & Jia, G. (2020). Exploring e-commerce big data and customer-perceived value: An empirical study on Chinese online customers. Sustainability, 12(20), 8649. https://www.mdpi.com/2071-1050/12/20/8649/pdf
Lopez, S. (2020). Value-based marketing strategy: Pricing and costs for relationship marketing. Vernon Press. https://books.google.com/books?hl=en&lr=&id=8a_aDwAAQBAJ
Majka, M. (2023). Maximizing revenue with value-based pricing. ResearchGate. https://www.researchgate.net/profile/Marcin-Majka-2/publication/386050233_Maximizing_Revenue_with_Value-Based_Pricing/links/6740f6d227661f7ae6632048/Maximizing-Revenue-with-Value-Based-Pricing.pdf
Makarova, E., & Todorovic, N. (2020). Value chain management as essentials of pricing strategy for digital marketing companies. ResearchGate. https://www.researchgate.net/publication/347322287
Miao, M., Jalees, T., Zaman, S. I., & Khan, S. (2022). The influence of e-customer satisfaction, e-trust and perceived value on consumer’s repurchase intention in B2C e-commerce segment. Asia Pacific Journal of Marketing and Logistics. https://www.researchgate.net/publication/356758325
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., ... & Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Phongthanapanich, P. (2021). Value-based pricing in contemporary marketing. ASEANplus Journal, 3(1), 1–11. https://so06.tci-thaijo.org/index.php/aseanplus/article/view/248662
Poornima, S., Mohanavalli, S., & Swarnalatha, S. (2021). Dynamic pricing of products based on visual quality and e-commerce factors. In Data Management, Analytics and Innovation (pp. 399–408). Springer. https://link.springer.com/chapter/10.1007/978-981-33-4646-8_34
Prasetyo, J. H., Prakoso, B. S., & Wiharso, G. (2021). E-commerce: The importance role of customer perceived value in increasing online repurchase intention. ResearchGate. https://www.researchgate.net/publication/355941384
Raja, J. Z., Frandsen, T., & Kowalkowski, C. (2020). Learning to discover value: Value-based pricing and selling capabilities for services and solutions. Journal of Business Research. https://www.sciencedirect.com/science/article/pii/S0148296320301910
Ranjani, K. S., Jha, S., & Pandey, N. (2024). DealShare: Value Based Positioning in B2C Markets. Emerald Emerging Markets Case Studies. https://www.emerald.com/insight/content/doi/10.1108/EEMCS-10-2023-0368/full/html
Setiawati, R. (2023). Integrated digital payment, digital marketing, and pricing perception for decision purchase of fruits and vegetables e-commerce. E3S Web of Conferences, 416, 02125. https://www.e3s-
Siddique, Q. (2025). Optimizing pricing strategies for female fashion products using regression analysis to maximize revenue and profit in digital marketing. Journal of Digital Marketing and Data Communication, 2(1), 34–45. https://jdmdc.com/index.php/JDMDC/article/view/28
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
Suo, L., Lu, R. C., & Lin, G. D. (2020). Analysis of factors influencing consumers' purchase intention based on perceived value in e-commerce clothing pre-sale model. Journal of Frontiers in Business and Innovation (JoFBaI). http://journal10.magtechjournal.com/JoFBaI/EN/PDF/10.3993/jfbim00333
Tian, S., Liu, C., & Jiang, F. (2023). Evaluation of customer value-based pricing strategies in Hainan's travel agencies under a free trade port framework. Journal of Open Scientific Advances, 1(4), 39–49. https://library.acadlore.com/JOSA/2023/1/4/JOSA_01.04_05.pdf
Tzavlopoulos, I., Gotzamani, K., & Andronikidis, A. (2019). Determining the impact of e-commerce quality on customers' perceived risk, satisfaction, value and loyalty. Emerald Insight. https://ruomoplus.lib.uom.gr/bitstream/
Venkataraman, S., & Petersen, J. A. (2022). B2B data-driven and value-based pricing strategies, price setting, and price execution. In Handbook of Research on Pricing and Profitability Management. Edward Elgar Publishing. https://www.elgaronline.com/edcollchap/book/9781800376878/book-part-9781800376878-24.xml
Winarko, T., Parapak, E. R., & Virananda, S. A. (2022). The effect of perceived value and marketing 4.0 on customer satisfaction and purchase intention in e-commerce context. International Journal of E-Commerce Studies (IJEC). https://academic-pub.org/ojs/index.php/ijecs/article/download/2121/493
Yin, C., & Han, J. (2021). Dynamic pricing model of e-commerce platforms based on deep reinforcement learning. Computers, Materials & Continua, 127(1), 149–165. https://www.ingentaconnect.com/contentone
Zhang, D., & Huang, M. (2022). A precision marketing strategy of e-commerce platform based on consumer behavior analysis in the era of big data. Hindawi Journal of Mathematics. https://onlinelibrary.wiley.com/doi/pdf/10.1155/2022/8580561
Downloads
Published
Versions
- 2026-03-27 (2)
- 2026-03-10 (1)
Issue
Section
License
Copyright (c) 2026 Octaviani Putri Dita Arumsari, Vidya Damayanti, Rizki Amalia Utami, Titis Shinta Dewi

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



























