Omnichannel Marketing in the Digital Age: Creating Consistent, Personalized and Connected Customer Experiences
DOI:
https://doi.org/10.47577/business.v10i.11903Keywords:
: Customer Experience, Marketing Automation, Marketing Personalization, Marketing ToolsAbstract
This paper explores the transformative potential of omnichannel marketing as a strategic approach that integrates multiple online and offline channels to create a cohesive and seamless customer experience. As consumer expectations for convenience, personalization, and immediacy continue to rise, brands must move beyond traditional multichannel strategies to deliver interconnected experiences that resonate with the modern, digitally-savvy customer. The paper delves into the principles and significance of omnichannel marketing, emphasizing the importance of creating a unified brand presence across diverse touchpoints. Key elements such as the integration of Customer Data Platforms (CDPs), Customer Relationship Management (CRM) systems, and marketing automation tools are discussed for their role in enabling businesses to gather, analyze, and utilize customer data effectively. Moreover, the paper examines the various challenges associated with implementing an omnichannel strategy, including data silos, technology integration, and maintaining consistency across numerous channels. It provides insights into overcoming these challenges through strategic planning, technological investment, and cross-departmental collaboration. Additionally, the paper highlights critical metrics and attribution models that businesses can use to measure the success of their omnichannel efforts, offering a comprehensive view of how different touchpoints contribute to customer engagement, loyalty, and lifetime value. Through a robust analysis, this paper provides actionable recommendations for businesses seeking to harness the power of omnichannel marketing to foster stronger customer relationships, enhance brand loyalty, and achieve sustainable growth in an increasingly competitive marketplace.
References
Igoumenakis, G., Theodoropoulou, A., & Halkiopoulos, C. (2023, August). Tourism and Developing Countries. Conditions and Prospects for Tourism Development. In International Conference of the International Association of Cultural and Digital Tourism (pp. 721-748). Cham: Springer Nature Switzerland. DOI: https://doi.org/10.1007/978-3-031-54338-8_43
Neslin, S. A. (2022). The omnichannel continuum: Integrating online and offline channels along the customer journey. Journal of retailing, 98(1), 111-132. DOI: https://doi.org/10.1016/j.jretai.2022.02.003
Mainardes, E. W., Rosa, C. A. D. M., & Nossa, S. N. (2020). Omnichannel strategy and customer loyalty in banking. International Journal of Bank Marketing, 38(4), 799-822. DOI: https://doi.org/10.1108/IJBM-07-2019-0272
Cui, T. H., Ghose, A., Halaburda, H., Iyengar, R., Pauwels, K., Sriram, S., ... & Venkataraman, S. (2021). Informational challenges in omnichannel marketing: Remedies and future research. Journal of marketing, 85(1), 103-120.
Vasilopoulou, C., Theodorakopoulos, L., & Giotopoulos, K. (2023). Big Data Analytics: A Catalyst for Digital Transformation in e-Government. Technium Social Sciences Journal, 45, 449-459. DOI: https://doi.org/10.47577/tssj.v45i1.9134
Manser Payne, E., Peltier, J. W., & Barger, V. A. (2017). Omni-channel marketing, integrated marketing communications and consumer engagement: A research agenda. Journal of Research in Interactive Marketing, 11(2), 185-197. DOI: https://doi.org/10.1108/JRIM-08-2016-0091
Mosquera, A., Pascual, C. O., & Ayensa, E. J. (2017). Understanding the customer experience in the age of omni-channel shopping. Icono14, 15(2), 4. DOI: https://doi.org/10.7195/ri14.v15i2.1070
Sopadjieva, E., Dholakia, U. M., & Benjamin, B. (2017). A study of 46,000 shoppers shows that omnichannel retailing works. Harvard business review, 3(1), 1-2.
Cotarelo, M., Calderón, H., & Fayos, T. (2021). A further approach in omnichannel LSQ, satisfaction and customer loyalty. International Journal of Retail & Distribution Management, 49(8), 1133-1153. DOI: https://doi.org/10.1108/IJRDM-01-2020-0013
Halkiopoulos, C., Igoumenakis, G., & Theodoropoulou, A. (2023, August). Evaluation of Hotel Services Utilizing Digital Marketing Strategies in Less Developed Countries Within the Hospitality Industry. In International Conference of the International Association of Cultural and Digital Tourism (pp. 323-346). Cham: Springer Nature Switzerland. DOI: https://doi.org/10.1007/978-3-031-54338-8_18
Vasilopoulos, C., Theodorakopoulos, L., & Giotopoulos, K. (2023). Big Data and Consumer Behavior: The Power and Pitfalls of Analytics in the Digital Age. Technium Soc. Sci. J., 45, 469.Becken, S. (2019). Virtual reality and tourism: An environmental sustainability perspective. Journal of Sustainable Tourism, 27(4), 551-566. DOI: https://doi.org/10.47577/tssj.v45i1.9135
Lee, Z. W., Chan, T. K., Chong, A. Y. L., & Thadani, D. R. (2019). Customer engagement through omnichannel retailing: The effects of channel integration quality. Industrial Marketing Management, 77, 90-101. DOI: https://doi.org/10.1016/j.indmarman.2018.12.004
Vasilopoulos, C., Theodorakopoulos, L., & Giotopoulos, K. (2023). The Promise and Peril of Big Data in Driving Consumer Engagement. Technium Soc. Sci. J., 45, 489. DOI: https://doi.org/10.47577/tssj.v45i1.9133
Barwitz, N., & Maas, P. (2018). Understanding the omnichannel customer journey: determinants of interaction choice. Journal of interactive marketing, 43(1), 116-133. DOI: https://doi.org/10.1016/j.intmar.2018.02.001
Zimmermann, R., Weitzl, W., & Auinger, A. (2022). Identifying sales-influencing touchpoints along the omnichannel customer journey. Procedia Computer Science, 196, 52-60. DOI: https://doi.org/10.1016/j.procs.2021.11.072
Lin, S. W., Huang, E. Y., & Cheng, K. T. (2023). A binding tie: why do customers stick to omnichannel retailers?. Information Technology & People, 36(3), 1126-1159. DOI: https://doi.org/10.1108/ITP-01-2021-0063
Dutta, S. S. (2024). OMNICHANNEL INTEGRATION: REVOLUTIONIZING RETAIL EFFICIENCY. INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING AND TECHNOLOGY (IJCET), 15(5), 592-605.
Hickman, E., Kharouf, H., & Sekhon, H. (2020). An omnichannel approach to retailing: demystifying and identifying the factors influencing an omnichannel experience. The International Review of Retail, Distribution and Consumer Research, 30(3), 266-288. DOI: https://doi.org/10.1080/09593969.2019.1694562
Kim, K., Han, S. L., Jang, Y. Y., & Shin, Y. C. (2020). The Effects of the antecedents of “Buy-Online-Pick-up-in-Store” service on consumer’s bopis choice behaviour. Sustainability, 12(23), 9989. DOI: https://doi.org/10.3390/su12239989
Frishammar, J., Cenamor, J., Cavalli-Björkman, H., Hernell, E., & Carlsson, J. (2018). Digital strategies for two-sided markets: A case study of shopping malls. Decision Support Systems, 108, 34-44. DOI: https://doi.org/10.1016/j.dss.2018.02.003
Grewal, D., Noble, S. M., Roggeveen, A. L., & Nordfalt, J. (2020). The future of in-store technology. Journal of the Academy of Marketing Science, 48, 96-113. DOI: https://doi.org/10.1007/s11747-019-00697-z
Volberda, H. W., Khanagha, S., Baden-Fuller, C., Mihalache, O. R., & Birkinshaw, J. (2021). Strategizing in a digital world: Overcoming cognitive barriers, reconfiguring routines and introducing new organizational forms. Long Range Planning, 54(5), 102110. DOI: https://doi.org/10.1016/j.lrp.2021.102110
Antonopoulou, H., Mamalougou, V., & Theodorakopoulos, L. (2022). The role of economic policy uncertainty in predicting stock return volatility in the banking industry: A big data analysis. Emerging Science Journal, 6(3), 569-577. DOI: https://doi.org/10.28991/ESJ-2022-06-03-011
Rasheed, A., San, O., & Kvamsdal, T. (2020). Digital twin: Values, challenges and enablers from a modeling perspective. IEEE access, 8, 21980-22012. DOI: https://doi.org/10.1109/ACCESS.2020.2970143
Gao, W., Fan, H., Li, W., & Wang, H. (2021). Crafting the customer experience in omnichannel contexts: The role of channel integration. Journal of Business Research, 126, 12-22. DOI: https://doi.org/10.1016/j.jbusres.2020.12.056
Pearson, S. (2016). Building brands directly: creating business value from customer relationships. Springer.
Theodorakopoulos, L., Thanasas, G., & Halkiopoulos, C. (2024). Implications of Big Data in Accounting: Challenges and Opportunities. Emerging Science Journal, 8(3), 1201-1214. DOI: https://doi.org/10.28991/ESJ-2024-08-03-024
Gasparin, I., Panina, E., Becker, L., Yrjölä, M., Jaakkola, E., & Pizzutti, C. (2022). Challenging the" integration imperative": A customer perspective on omnichannel journeys. Journal of Retailing and Consumer Services, 64, 102829. DOI: https://doi.org/10.1016/j.jretconser.2021.102829
Tyrväinen, O., Karjaluoto, H., & Saarijärvi, H. (2020). Personalization and hedonic motivation in creating customer experiences and loyalty in omnichannel retail. Journal of Retailing and Consumer Services, 57, 102233. DOI: https://doi.org/10.1016/j.jretconser.2020.102233
Hossain, T. M. T., Akter, S., Kattiyapornpong, U., & Dwivedi, Y. (2020). Reconceptualizing integration quality dynamics for omnichannel marketing. Industrial Marketing Management, 87, 225-241. DOI: https://doi.org/10.1016/j.indmarman.2019.12.006
Chang, Y. P., & Li, J. (2022). Seamless experience in the context of omnichannel shopping: scale development and empirical validation. Journal of Retailing and Consumer Services, 64, 102800. DOI: https://doi.org/10.1016/j.jretconser.2021.102800
Bijmolt, T. H., Broekhuis, M., De Leeuw, S., Hirche, C., Rooderkerk, R. P., Sousa, R., & Zhu, S. X. (2021). Challenges at the marketing–operations interface in omni-channel retail environments. Journal of business research, 122, 864-874. DOI: https://doi.org/10.1016/j.jbusres.2019.11.034
Theodorakopoulos, L., Antonopoulou, H., Mamalougou, V., & Giotopoulos, K. (2022). The drivers of volume volatility: A big data analysis based on economic uncertainty measures for the Greek banking system. Available at SSRN 4306619. DOI: https://doi.org/10.2139/ssrn.4306619
Graef, I. (2015). Market definition and market power in data: The case of online platforms. World Competition, 38(4). DOI: https://doi.org/10.54648/WOCO2015040
Liu, Y., Soroka, A., Han, L., Jian, J., & Tang, M. (2020). Cloud-based big data analytics for customer insight-driven design innovation in SMEs. International Journal of Information Management, 51, 102034. DOI: https://doi.org/10.1016/j.ijinfomgt.2019.11.002
Kihn, M., & O'Hara, C. B. (2020). Customer data platforms: Use people data to transform the future of marketing engagement. John Wiley & Sons.
Antonopoulou, H., Theodorakopoulos, L., Halkiopoulos, C., & Mamalougkou, V. (2023). Utilizing machine learning to reassess the predictability of bank stocks. Emerging Science Journal, 7(3), 724-732. DOI: https://doi.org/10.28991/ESJ-2023-07-03-04
Lim, S. F. W., Jin, X., & Srai, J. S. (2018). Consumer-driven e-commerce: A literature review, design framework, and research agenda on last-mile logistics models. International Journal of Physical Distribution & Logistics Management, 48(3), 308-332. DOI: https://doi.org/10.1108/IJPDLM-02-2017-0081
Halkiopoulos, C., Papadopoulos, A., Stamatiou, Y. C., Theodorakopoulos, L., & Vlachos, V. (2024). A Digital Service for Citizens: Multi-Parameter Optimization Model for Cost-Benefit Analysis of Cybercrime and Cyberdefense. Emerging Science Journal, 8(4), 1320-1344. DOI: https://doi.org/10.28991/ESJ-2024-08-04-06
Rane, N., Choudhary, S., & Rane, J. (2023). Hyper-personalization for enhancing customer loyalty and satisfaction in Customer Relationship Management (CRM) systems. Available at SSRN 4641044. DOI: https://doi.org/10.2139/ssrn.4641044
Gorment, N. Z., Shanmugam, M., Ibrahim, N., Sugu, R., Dandarawi, T. N. N. T. A., & Ahmad, N. A. (2022). Extending the Role of Customer Relationship Management (CRM) System for an Omnichannel Customer Experience. electronic Journal of Computer Science and Information Technology, 8(1), 1-8.
Karacali, O., & Salman, G. G. (2020). Application and integration of omnichannel decisions to customer relationship management. In Managing Customer Experiences in an Omnichannel World: Melody of Online and Offline Environments in the Customer Journey (pp. 153-176). Emerald Publishing Limited. DOI: https://doi.org/10.1108/978-1-80043-388-520201013
Payne, A., & Frow, P. (2016). Customer relationship management: Strategy and implementation. In The Marketing Book (pp. 439-466). Routledge.
Buttle, F., & Maklan, S. (2019). Customer relationship management: concepts and technologies. Routledge. DOI: https://doi.org/10.4324/9781351016551
Johnson, J. S., Matthes, J. M., & Friend, S. B. (2019). Interfacing and customer-facing: Sales and marketing selling centers. Industrial Marketing Management, 77, 41-56. DOI: https://doi.org/10.1016/j.indmarman.2017.08.011
Karras, A., Giannaros, A., Theodorakopoulos, L., Krimpas, G. A., Kalogeratos, G., Karras, C., & Sioutas, S. (2023). FLIBD: A federated learning-based IoT big data management approach for privacy-preserving over Apache Spark with FATE. Electronics, 12(22), 4633. DOI: https://doi.org/10.3390/electronics12224633
Holmlund, M., Van Vaerenbergh, Y., Ciuchita, R., Ravald, A., Sarantopoulos, P., Ordenes, F. V., & Zaki, M. (2020). Customer experience management in the age of big data analytics: A strategic framework. Journal of Business Research, 116, 356-365. DOI: https://doi.org/10.1016/j.jbusres.2020.01.022
Chen, R. R., Ou, C. X., Wang, W., Peng, Z., & Davison, R. M. (2020). Moving beyond the direct impact of using CRM systems on frontline employees' service performance: The mediating role of adaptive behaviour. Information Systems Journal, 30(3), 458-491. DOI: https://doi.org/10.1111/isj.12265
Kedi, W. E., Ejimuda, C., Idemudia, C., & Ijomah, T. I. (2024). AI software for personalized marketing automation in SMEs: Enhancing customer experience and sales. World Journal of Advanced Research and Reviews, 23(1), 1981-1990. DOI: https://doi.org/10.30574/wjarr.2024.23.1.2159
Karras, C., Karras, A., Theodorakopoulos, L., Giannoukou, I., & Sioutas, S. (2022, August). Expanding queries with maximum likelihood estimators and language models. In The International Conference on Innovations in Computing Research (pp. 201-213). Cham: Springer International Publishing. DOI: https://doi.org/10.1007/978-3-031-14054-9_20
Belvedere, V., Martinelli, E. M., & Tunisini, A. (2021). Getting the most from E-commerce in the context of omnichannel strategies. Italian Journal of Marketing, 2021(4), 331-349. DOI: https://doi.org/10.1007/s43039-021-00037-6
Gao, Y., & Liu, H. (2023). Artificial intelligence-enabled personalization in interactive marketing: a customer journey perspective. Journal of Research in Interactive Marketing, 17(5), 663-680. DOI: https://doi.org/10.1108/JRIM-01-2022-0023
Babatunde, S. O., Odejide, O. A., Edunjobi, T. E., & Ogundipe, D. O. (2024). The role of AI in marketing personalization: A theoretical exploration of consumer engagement strategies. International Journal of Management & Entrepreneurship Research, 6(3), 936-949. DOI: https://doi.org/10.51594/ijmer.v6i3.964
Kumar, V., Ramachandran, D., & Kumar, B. (2021). Influence of new-age technologies on marketing: A research agenda. Journal of Business Research, 125, 864-877. DOI: https://doi.org/10.1016/j.jbusres.2020.01.007
Karras, C., Theodorakopoulos, L., Karras, A., & Krimpas, G. A. (2024). Efficient Algorithms for Range Mode Queries in the Big Data Era. Information, 15(8), 450. DOI: https://doi.org/10.3390/info15080450
Sandberg, J., Holmström, J., & Lyytinen, K. (2020). Digitization and phase transitions in platform organizing logics: Evidence from the process automation industry. Management Information Systems Quarterly, 44(1), 129-153. DOI: https://doi.org/10.25300/MISQ/2020/14520
Mero, J., Tarkiainen, A., & Tobon, J. (2020). Effectual and causal reasoning in the adoption of marketing automation. Industrial Marketing Management, 86, 212-222. DOI: https://doi.org/10.1016/j.indmarman.2019.12.008
Parmenter, D. (2015). Key performance indicators: developing, implementing, and using winning KPIs. John Wiley & Sons. DOI: https://doi.org/10.1002/9781119019855
Rahman, S. M., Carlson, J., Gudergan, S. P., Wetzels, M., & Grewal, D. (2022). Perceived omnichannel customer experience (OCX): Concept, measurement, and impact. Journal of Retailing, 98(4), 611-632. DOI: https://doi.org/10.1016/j.jretai.2022.03.003
Egorenkov, D. (2024). AI-Powered Predictive Customer Lifetime Value: Maximizing Long-Term Profits. Valley International Journal Digital Library, 7339-7354. DOI: https://doi.org/10.18535/ijsrm/v12i09.em02
Patti, C. H., van Dessel, M. M., & Hartley, S. W. (2020). Reimagining customer service through journey mapping and measurement. European Journal of Marketing, 54(10), 2387-2417. DOI: https://doi.org/10.1108/EJM-07-2019-0556
Baehre, S., O’Dwyer, M., O’Malley, L., & Lee, N. (2022). The use of Net Promoter Score (NPS) to predict sales growth: insights from an empirical investigation. Journal of the Academy of Marketing Science, 50(1), 67-84. DOI: https://doi.org/10.1007/s11747-021-00790-2
Fader, P., & Toms, S. E. (2018). The customer centricity playbook: Implement a winning strategy driven by customer lifetime value. University of Pennsylvania Press. DOI: https://doi.org/10.2307/j.ctv2hdrfw5
Chaffey, D., & Smith, P. R. (2022). Digital marketing excellence: planning, optimizing and integrating online marketing. Routledge. DOI: https://doi.org/10.4324/9781003009498
Nisar, T. M., & Yeung, M. (2018). Attribution modeling in digital advertising: An empirical investigation of the impact of digital sales channels. Journal of Advertising Research, 58(4), 399-413. DOI: https://doi.org/10.2501/JAR-2017-055
Anderl, E., Becker, I., Von Wangenheim, F., & Schumann, J. H. (2016). Mapping the customer journey: Lessons learned from graph-based online attribution modeling. International Journal of Research in Marketing, 33(3), 457-474. DOI: https://doi.org/10.1016/j.ijresmar.2016.03.001
Wooff, D. A., & Anderson, J. M. (2015). Time-weighted multi-touch attribution and channel relevance in the customer journey to online purchase. Journal of statistical theory and practice, 9, 227-249. DOI: https://doi.org/10.1080/15598608.2013.862753
Sakly, S., & Ouazan, H. M. (2016). Toward a Dynamique Multitouch Attribution Model for Marketing. Stage de Master, 2, 1-19.
Harrou, F., Sun, Y., Hering, A. S., & Madakyaru, M. (2020). Statistical process monitoring using advanced data-driven and deep learning approaches: theory and practical applications. Elsevier.
Kannan, P. K., Reinartz, W., & Verhoef, P. C. (2016). The path to purchase and attribution modeling: Introduction to special section. International Journal of Research in Marketing, 33(3), 449-456. DOI: https://doi.org/10.1016/j.ijresmar.2016.07.001
Li, Y., Xie, Y., & Zheng, E. (2017). Modeling multi-channel advertising attribution across competitors. Available at SSRN 3047981. DOI: https://doi.org/10.2139/ssrn.3047981
Nass, O., Garrigós, J. A., Gómez, H. G., & Schoeneberg, K. P. (2020). Attribution modelling in an omni-channel environment–new requirements and specifications from a practical perspective. International Journal of Electronic Marketing and Retailing, 11(1), 81-111. DOI: https://doi.org/10.1504/IJEMR.2020.10028103
Ji, W., Wang, X., & Zhang, D. (2016, October). A probabilistic multi-touch attribution model for online advertising. In Proceedings of the 25th acm international on conference on information and knowledge management (pp. 1373-1382). DOI: https://doi.org/10.1145/2983323.2983787
Cui, T. H., Ghose, A., Halaburda, H., Iyengar, R., Pauwels, K., Sriram, S., ... & Venkataraman, S. (2021). Informational challenges in omnichannel marketing: Remedies and future research. Journal of marketing, 85(1), 103-120. DOI: https://doi.org/10.1177/0022242920968810
Thanasas, G. L., Theodorakopoulos, L., & Lampropoulos, S. (2022). A Big Data Analysis with Machine Learning techniques in Accounting dataset from the Greek banking system. European Journal of Accounting, Auditing and Finance Research. DOI: https://doi.org/10.20944/preprints202208.0083.v1
Troilo, G., De Luca, L. M., & Guenzi, P. (2017). Linking data‐rich environments with service innovation in incumbent firms: A conceptual framework and research propositions. Journal of Product Innovation Management, 34(5), 617-639. DOI: https://doi.org/10.1111/jpim.12395
Saghiri, S., & Mirzabeiki, V. (2021). Omni-channel integration: the matter of information and digital technology. International journal of operations & production management, 41(11), 1660-1710. DOI: https://doi.org/10.1108/IJOPM-04-2021-0262
Theodorakopoulos, L., Theodoropoulou, A., & Halkiopoulos, C. (2024). Enhancing Decentralized Decision-Making with Big Data and Blockchain Technology: A Comprehensive Review. Applied Sciences, 14(16), 7007. DOI: https://doi.org/10.3390/app14167007
De Keyser, A., Verleye, K., Lemon, K. N., Keiningham, T. L., & Klaus, P. (2020). Moving the customer experience field forward: introducing the touchpoints, context, qualities (TCQ) nomenclature. Journal of Service Research, 23(4), 433-455. DOI: https://doi.org/10.1177/1094670520928390
Lambert, D. M., & Enz, M. G. (2017). Issues in supply chain management: Progress and potential. Industrial marketing management, 62, 1-16. DOI: https://doi.org/10.1016/j.indmarman.2016.12.002
Saghiri, S., Wilding, R., Mena, C., & Bourlakis, M. (2017). Toward a three-dimensional framework for omni-channel. Journal of Business Research, 77, 53-67. DOI: https://doi.org/10.1016/j.jbusres.2017.03.025
Peppers, D., & Rogers, M. (2016). Managing customer experience and relationships: A strategic framework. John Wiley & Sons. DOI: https://doi.org/10.1002/9781119239833
Theodorakopoulos, L., Theodoropoulou, A., & Stamatiou, Y. (2024). A State-of-the-Art Review in Big Data Management Engineering: Real-Life Case Studies, Challenges, and Future Research Directions. Eng, 5(3), 1266-1297. DOI: https://doi.org/10.3390/eng5030068
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