Economic Benefits of Using Salesforce in Business: Analysis and Practical Recommendations
DOI:
https://doi.org/10.57125/FEL.2024.06.25.05Keywords:
Salesforce, economic impact, customer relationship management, Logit analysis, operational efficiency, sales automation, business intelligence, ROIAbstract
This research examines the economic effects of Salesforce, a prominent customer relationship management (CRM) platform recognized for its innovations in cloud computing efficiency, sales automation, and company analytics. With the objective of uncovering the tangible economic benefits of Salesforce, we embarked on an investigation involving a survey of 300 businesses varying in their level of Salesforce implementation. We used Logit analysis to determine the main parameters influencing the successful implementation of Salesforce and its impact on ROI. Our research shows a clear connection between the level of Salesforce utilization and notable enhancements in operational efficiency, cost reduction, and revenue increase, especially in companies that fully utilize Salesforce's analytics and artificial intelligence features. The research is notable for its systematic examination of the many economic advantages of Salesforce, offering actual proof of the platform's ability to enhance financial results. The scientific uniqueness is in the precise use of Logit analysis to measure the connection between Salesforce adoption levels and economic results, providing a detailed insight into how strategic integration and user adoption help in optimizing ROI. This study emphasizes the crucial need for organizations to not just implement Salesforce but to use its technical capabilities to the fullest extent, in order to achieve better financial outcomes and make well-informed decisions. This report provides significant insights for firms looking to improve their CRM strategy by highlighting the strategic and user-centric criteria crucial for successful Salesforce adoption. It adds to the overall discussion on the economic impacts of digital transformation, highlighting how sophisticated CRM systems promote business intelligence and operational effectiveness.
References
Aslan, Ö., Aktuğ, S. S., Ozkan-Okay, M., Yilmaz, A. A., & Akin, E. (2023). A comprehensive review of cyber security vulnerabilities, threats, attacks, and solutions. Electronics, 12(6), Article 1333. https://doi.org/10.3390/electronics12061333
Bourguignon, B., Boeck, H., & Brashear Alejandro, T. (2021). Salesforce responsive roles in turbulent times: Case studies in agility selling. Journal of Business & Industrial Marketing, 36(8), 1286–1299. https://doi.org/10.1108/JBIM-01-2020-0010
Brea, E. (2023). A framework for mapping actor roles and their innovation potential in digital ecosystems. Technovation, 125, Article 102783. https://doi.org/10.1016/j.technovation.2023.102783
Czinkota, M. R., Kotabe, M., Vrontis, D., Shams, S. R., Czinkota, M. R., Kotabe, M., ... & Shams, S. R. (2021). Understanding the buyer. Marketing management: Past, present and future (pp. 135–176). Cham: Springer. https://doi.org/10.1007/978-3-030-66916-4_4
Eltahir, A. M., Ahmed, T. M., Ahmed, H., & Abdalfadil, T. A. (2021). Comparative study of customer relationship management (CRM) and electronic customer relationship management (E-CRM). International Journal of Advanced and Applied Sciences, 8(7), 1–6. https://pdfs.semanticscholar.org/52a4/610eb1cdc0e56004e936f0425202a4b96fba.pdf
Fader, P. (2020). Customer centricity: Focus on the right customers for strategic advantage. University of Pennsylvania Press. https://dokumen.pub/customer-centricity-focus-on-the-right-customers-for-strategic-advantage-9781613631010.html
Farmania, A., Elsyah, R. D., & Tuori, M. A. (2021). Transformation of CRM activities into e-CRM: The generating e-loyalty and open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(2), Article 109. https://doi.org/10.3390/joitmc7020109
Glackin, C., & Adivar, M. (2023). Modeling independent sales representative performance: Application of predictive analytics in direct selling for improved outcomes. Journal of Marketing Analytics, 11(4), 613–628. https://doi.org/10.1057/s41270-023-00236-4
Golightly, L., Chang, V., Xu, Q. A., Gao, X., & Liu, B. S. (2022). Adoption of cloud computing as innovation in the organization. International Journal of Engineering Business Management, 14. https://doi.org/10.1177/1847979022109
Holmes, W., & Tuomi, I. (2022). State of the art and practice in AI in education. European Journal of Education, 57(4), 542–570. https://doi.org/10.1111/ejed.12533
Johnston, M. W., & Marshall, G. W. (2020). Sales force management: Leadership, innovation, technology. Routledge. https://doi.org/10.4324/9781003134688
Kaliuta, K. (2023). Integration of AI for routine tasks using salesforce. Asian Journal of Research in Computer Science, 16(3), 119–127. https://doi.org/10.9734/ajrcos/2023/v16i3350
Khan, R. U., Salamzadeh, Y., Iqbal, Q., & Yang, S. (2022). The impact of customer relationship management and company reputation on customer loyalty: The mediating role of customer satisfaction. Journal of Relationship Marketing, 21(1), 1–26. https://doi.org/10.1080/15332667.2020.1840904
Kokins, G., Straujuma, A., & Lapiņa, I. (2021). The role of consumer and customer journeys in customer experience driven and open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), Article 185. https://doi.org/10.3390/joitmc7030185
Lamrhari, S., El Ghazi, H., Oubrich, M., & El Faker, A. (2022). A social CRM analytic framework for improving customer retention, acquisition, and conversion. Technological Forecasting and Social Change, 174, Article 121275. https://doi.org/10.1016/j.techfore.2021.121275
Li, F., & Xu, G. (2022). AI-driven customer relationship management for sustainable enterprise performance. Sustainable Energy Technologies and Assessments, 52, Article 102103. https://doi.org/10.1016/j.seta.2022.102103
Mahlamäki, T., Storbacka, K., Pylkkönen, S., & Ojala, M. (2020). Adoption of digital sales force automation tools in supply chain: Customers' acceptance of sales configurators. Industrial Marketing Management, 91, 162–173. https://doi.org/10.1016/j.indmarman.2020.08.024
Majeed, M., Alhassan, S., Asare, C., Mohammed, I., & Simpe Ofori, K. (2023). Salesforce social media use, adaptive selling behaviour and consumer outcomes in consumer electronics: An emerging market perspective. Journal of African Business, 1–29. https://doi.org/10.1080/15228916.2023.2230415
Mohamed, S. A., Mahmoud, M. A., Mahdi, M. N., & Mostafa, S. A. (2022). Improving efficiency and effectiveness of robotic process automation in human resource management. Sustainability, 14(7), Article 3920. https://doi.org/10.3390/su14073920
Moradi, M., & Dass, M. (2022). Applications of artificial intelligence in B2B marketing: Challenges and future directions. Industrial Marketing Management, 107, 300–314. https://doi.org/10.1016/j.indmarman.2022.10.016
Oh, H., & Oh, J. H. (2020). A wisdom-based salesforce development model: the role of wisdom in salesforce training and well-being. Journal of Personal Selling & Sales Management, 41(1), 70–82. https://doi.org/10.1080/08853134.2020.1845189
Panagopoulos, N. G., Rapp, A., & Pimentel, M. A. (2020). Firm actions to develop an ambidextrous sales force. Journal of Service Research, 23(1), 87–104. https://doi.org/10.1177/109467051988334
Pathak, P., Pal, S., Maity, S., Jeyalaksshmi, S., Adhikari, S., & Akila, D. (2023). Analysis of improving sales process efficiency with salesforce industries CPQ in CRM. In D. K. Sharma, S. L. Peng, R. Sharma & G. Jeon (Eds.) Micro-electronics and telecommunication engineering. ICMETE 2023. Lecture notes in networks and systems (vol. 894, pp. 481–495). Singapore: Springer. https://doi.org/10.1007/978-981-99-9562-2_40
Pawełoszek, I., Kumar, N., & Solanki, U. (2022). Artificial intelligence, digital technologies and the future of law. Futurity Economics & Law, 2(2), 24–33. https://doi.org/10.57125/FEL.2022.06.25.03
Peterson, R. A., & Crittenden, V. L. (2023). The importance of pre-employment job motives in predicting voluntary salesforce turnover in the gig economy. Journal of Business-to-Business Marketing, 30(3), 333–348. https://doi.org/10.1080/1051712X.2023.2252436
Rainsberger, L. (2023). Sales technology: An ocean of possibilities. In Digital transformation in sales: How to turn a buzzword into real sales practice – A 21-step guide (pp. 189–267). Wiesbaden: Springer. https://doi.org/10.1007/978-3-658-38887-4_4
Rooderkerk, R. P., DeHoratius, N., & Musalem, A. (2022). The past, present, and future of retail analytics: Insights from a survey of academic research and interviews with practitioners. Production and Operations Management, 31(10), 3727–3748. https://doi.org/10.1111/poms.138
Saha, L., Tripathy, H. K., Nayak, S. R., Bhoi, A. K., & Barsocchi, P. (2021). Amalgamation of customer relationship management and data analytics in different business sectors — A systematic literature review. Sustainability, 13(9), Article 5279. https://doi.org/10.3390/su13095279
Sehgal, N. K., Bhatt, P. C. P., & Acken, J. M. (2020). Cloud computing with security: Concepts and practices. Cham: Springer. https://doi.org/10.1007/978-3-030-24612-9
Sharma, A., Rangarajan, D., & Paesbrugghe, B. (2020). Increasing resilience by creating an adaptive salesforce. Industrial Marketing Management, 88, 238–246. https://doi.org/10.1016/j.indmarman.2020.05.023
Shin, K. S., Amenuvor, F. E., Boateng, H., & Basilisco, R. (2021). Formal salesforce control mechanisms and behavioral outcomes. Marketing Intelligence & Planning, 39(7), 924–943. https://doi.org/10.1108/MIP-11-2020-0470
Stone, M., Aravopoulou, E., Ekinci, Y., Evans, G., Hobbs, M., Labib, A., ... & Machtynger, L. (2020a). Artificial intelligence (AI) in strategic marketing decision-making: A research agenda. The Bottom Line, 33(2), 183–200. https://doi.org/10.1108/BL-03-2020-0022
Stone, M., Kosack, E., & Aravopoulou, E. (2020b). Relevance of academic research in information technology and information management. The Bottom Line, 33(3), 273–295. https://doi.org/10.1108/BL-05-2020-0034
Stone, M., & Woodcock, N. (2021). Developments in B to B and B to C marketing and sales automation systems. Journal of Business-to-Business Marketing, 28(2), 203–222. https://doi.org/10.1080/1051712X.2021.1920702
Tardieu, H., Daly, D., Esteban-Lauzán, J., Hall, J., & Miller, G. (2020). Deliberately digital: Rewriting enterprise DNA for enduring success. Cham: Springer. https://doi.org/10.1007/978-3-030-37955-1
Taylor, L. (2021). Public actors without public values: Legitimacy, domination and the regulation of the technology sector. Philosophy & Technology, 34(4), 897–922. https://doi.org/10.1007/s13347-020-00441-4
Teoh, M. F., Ahmad, N. H., Abdul‐Halim, H., & Kan, W. H. (2023). Digital business model innovation among small and medium‐sized enterprises (SMEs). Global Business and Organizational Excellence, 42(6), 5–18. https://doi.org/10.1002/joe.22200
Tienken, C., Classen, M., & Friedli, T. (2023). Engaging the sales force in digital solution selling: How sales control systems resolve agency problems to create and capture superior value. European Journal of Marketing, 57(3), 794–833. https://doi.org/10.1108/EJM-11-2021-0918
Tuten, T. L. (2022). Principles of marketing for a digital age. London : SAGE Publications. https://www.torrossa.com/en/resources/an/5409534
Venkatesan, R., Kumar, V., & Reinartz, W. (2022). Customer relationship management in business markets. In Handbook of business-to-business marketing (pp. 335–358). Edward Elgar Publishing. https://doi.org/10.4337/9781800376878.00028
Wu, M., Andreev, P., & Benyoucef, M. (2024). The state of lead scoring models and their impact on sales performance. Information Technology and Management, 25(1), 69–98. https://doi.org/10.1007/s10799-023-00388-w
Yu, J., & Liu, C. (2021). The impact of employee participation in online innovation communities on idea quality. Kybernetes, 50(6), 1951–1968. https://doi.org/10.1108/K-04-2020-0228
Zheng, Y. H., Shi, G., Zhong, H., Liu, M. T., & Lin, Z. (2023). Motivating strategic front-line employees for innovative sales in the digital transformation era: The mediating role of salesperson learning. Technological Forecasting and Social Change, 193, Article 122593. https://doi.org/10.1016/j.techfore.2023.122593
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