Authors :
Martina Ononiwu; Tony Isioma Azonuche; Joy Onma Enyejo
Volume/Issue :
Volume 10 - 2025, Issue 6 - June
Google Scholar :
https://tinyurl.com/yc7ek3zu
DOI :
https://doi.org/10.38124/ijisrt/25jun286
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This review paper explores the intersection of secure email marketing, cloud automation, and revenue
optimization in home-based food enterprises. As digital transformation reshapes microenterprise operations, email
marketing remains a cost-effective and high-ROI strategy for customer engagement, retention, and brand visibility.
However, home food businesses often lack the technical infrastructure to maximize these tools securely and efficiently. The
study evaluates how integrating Secure Simple Mail Transfer Protocol (SMTP) with cloud-based marketing automation
platforms—such as Mailchimp, Klaviyo, and AWS SES—can enhance deliverability, compliance, and personalized
outreach. Emphasis is placed on key performance indicators (KPIs) such as click-through rates, conversion rates,
customer lifetime value (CLV), and average order value (AOV). The review further investigates the role of automation
workflows, behavior-triggered campaigns, A/B testing, and segmentation in driving customer re-engagement and reducing
churn. Security considerations including domain authentication (SPF, DKIM, DMARC), data encryption, and compliance
with regulations like GDPR and CAN-SPAM are also analyzed. Case studies of successful home food enterprises are
reviewed to identify best practices and revenue-growth patterns. The paper concludes by recommending scalable
frameworks and secure digital infrastructure that enable small food businesses to harness email marketing technologies
while safeguarding customer data and enhancing long-term profitability.
Keywords :
Email Marketing; Home Food Enterprises; Revenue Optimization; Secure SMTP; Cloud Automation.
References :
- Alford, P., & Page, S. J. (2018). Marketing technology for adoption by small business. In Social Media and Interactive Communications (pp. 99-113). Routledge.
- Anand, T. P. (2021). Critical Success Factors in the Sustained Business Performance of Small-and Medium-Sized Enterprises in the United Arab Emirates (Doctoral dissertation, SP Jain School of Global Management (India)).
- Anyibama, B. J., Orjinta, K. K., Omisogbon, T. O., Atalor, S. I., Daniels, E. O., Fadipe, E. & Galadima, D. A. (2025). Modern Agricultural Technologies for Sustainable Food Production: A Comprehensive Review of Technological Innovations and Their Impact on Global Food Systems. International Journal of Innovative Science and Research Technology ISSN No:-2456-2165 Volume 10, Issue 2 https://doi.org/10.5281/zenodo.14964384
- Atalor, S. I. & Enyejo, J. O. (2025). Integration of extended reality (XR) for oncology pharmacist training in chemotherapeutic compounding and risk mitigation International Medical Science Research Journal Volume 5, Issue 4, DOI URL: https://doi.org/10.51594/imsrj.v5i4.1931
- Atalor, S. I. & Omachi, A. (2025). Transformer-Based Natural Language Processing Models for Mining Unstructured Oncology Clinical Notes to Improve Drug Matching, International Journal of Scientific Research in Science, Engineering and Technology Volume 12, Issue 2 doi : https://doi.org/10.32628/IJSRSET25122197
- Atalor, S. I. (2019). Federated Learning Architectures for Predicting Adverse Drug Events in Oncology Without Compromising Patient Privacy ICONIC RESEARCH AND ENGINEERING JOURNALS JUN 2019 | IRE Journals | Volume 2 Issue 12 | ISSN: 2456-8880
- Atalor, S. I. (2022). Blockchain-Enabled Pharmacovigilance Infrastructure for National Cancer Registries. International Journal of Scientific Research and Modern Technology, 1(1), 50–64. https://doi.org/10.38124/ijsrmt.v1i1.493
- Atalor, S. I. (2024). Building a geo-analytic public health dashboard for tracking cancer drug deserts in U.S. counties, International Medical Science Research Journal Volume 4, Issue 11, Fair East Publishers DOI: 10.51594/imsrj.v4i11.1932
- Atalor, S. I., Ijiga, O. M., & Enyejo, J. O. (2023). Harnessing Quantum Molecular Simulation for Accelerated Cancer Drug Screening. International Journal of Scientific Research and Modern Technology, 2(1), 1–18. https://doi.org/10.38124/ijsrmt.v2i1.502
- Atalor, S. I., Raphael, F. O. & Enyejo, J. O. (2023). Wearable Biosensor Integration for Remote Chemotherapy Monitoring in Decentralized Cancer Care Models. International Journal of Scientific Research in Science and Technology Volume 10, Issue 3 (www.ijsrst.com) doi : https://doi.org/10.32628/IJSRST23113269
- Azonuche, T. I, Aigbogun, M. E & Enyejo, J. O. (2025). Investigating Hybrid Agile Frameworks Integrating Scrum and Devops for Continuous Delivery in Regulated Software Environments. International Journal of Innovative Science and Research Technology Volume 10, Issue 4, ISSN No:-2456-2165 https://doi.org/10.38124/ijisrt/25apr1164
- Azonuche, T. I., & Enyejo, J. O. (2024). Evaluating the Impact of Agile Scaling Frameworks on Productivity and Quality in Large-Scale Fintech Software Development. International Journal of Scientific Research and Modern Technology, 3(6), 57–69. https://doi.org/10.38124/ijsrmt.v3i6.449
- Azonuche, T. I., & Enyejo, J. O. (2024). Exploring AI-Powered Sprint Planning Optimization Using Machine Learning for Dynamic Backlog Prioritization and Risk Mitigation. International Journal of Scientific Research and Modern Technology, 3(8), 40–57. https://doi.org/10.38124/ijsrmt.v3i8.448.
- Azonuche, T. I., & Enyejo, J. O. (2025). Adaptive Risk Management in Agile Projects Using Predictive Analytics and Real-Time Velocity Data Visualization Dashboard. International Journal of Innovative Science and Research Technology Volume 10, Issue 4, April – 2025 ISSN No:-2456-2165 https://doi.org/10.38124/ijisrt/25apr2002
- Barraket, J., Eversole, R., Luke, B., & Newton, C. (2019). Empowering disadvantaged communities with digital entrepreneurship: A comparative study of community-based digital enterprises. Information Systems Journal, 29(4), 866–888. https://doi.org/10.1111/isj.12224
- Bresciani, S., Ciampi, F., Meli, F., & Ferraris, A. (2021). Digital transformation as a springboard for product innovation: A survey of Italian SMEs. Technological Forecasting and Social Change, 173, 121096. https://doi.org/10.1016/j.techfore.2021.121096
- Caruana, G., & Li, M. (2008). A survey of emerging approaches to spam filtering. ACM computing surveys (CSUR), 44(2), 1-27.
- Chaffey, D., & Ellis-Chadwick, F. (2019). Digital marketing. Pearson uk.
- Chaffey, D., & Patron, M. (2012). From web analytics to digital marketing optimization: Increasing the commercial value of digital analytics. Journal of Direct, Data and Digital Marketing Practice, 14(1), 30–45. https://doi.org/10.1057/dddmp.2012.20
- Chatterjee, S., Rana, N. P., Tamilmani, K., & Sharma, A. (2021). Examining the role of AI-enabled marketing automation in CRM: A B2C perspective. Journal of Business Research, 124, 602–616. https://doi.org/10.1016/j.jbusres.2020.10.030
- Choudhury, M. M., & Harrigan, P. (2014). CRM to social CRM: the integration of new technologies into customer relationship management. Journal of Strategic Marketing, 22(2), 149-176.
- Culnan, M. J., & Bies, R. J. (2003). Consumer privacy: Balancing economic and justice considerations. Journal of Social Issues, 59(2), 323–342. https://doi.org/10.1111/1540-4560.00067
- Davenport, T. H., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42. https://doi.org/10.1007/s11747-019-00696-0
- Ghezzi, A., & Cavallo, A. (2020). Agile business model innovation in digital entrepreneurship: Lean startup approaches. Journal of Business Research, 110, 519–537. https://doi.org/10.1016/j.jbusres.2018.06.013
- Grandon, E. E., & Pearson, J. M. (2004). Electronic commerce adoption: An empirical study of small and medium US businesses. Information & Management, 42(1), 197–216. https://doi.org/10.1016/j.im.2003.12.010
- Heimbach, I., Kostyra, D. S., & Hinz, O. (2015). Marketing automation. Business & Information Systems Engineering, 57(2), 129–133. https://doi.org/10.1007/s12599-014-0360-0
- Imoh, P. O. (2023). Impact of Gut Microbiota Modulation on Autism Related Behavioral Outcomes via Metabolomic and Microbiome-Targeted Therapies International Journal of Scientific Research and Modern Technology (IJSRMT) Volume 2, Issue 8, 2023 DOI: https://doi.org/10.38124/ijsrmt.v2i8.494
- Imoh, P. O., Adeniyi, M., Ayoola, V. B., & Enyejo, J. O. (2024). Advancing Early Autism Diagnosis Using Multimodal Neuroimaging and Ai-Driven Biomarkers for Neurodevelopmental Trajectory Prediction. International Journal of Scientific Research and Modern Technology, 3(6), 40–56. https://doi.org/10.38124/ijsrmt.v3i6.413
- Järvinen, J., & Taiminen, H. (2016). Harnessing marketing automation for B2B content marketing. Industrial Marketing Management, 54, 164–175. https://doi.org/10.1016/j.indmarman.2015.07.002
- Kannan, P. K., & Li, H. A. (2017). Digital marketing: A framework, review and research agenda. International Journal of Research in Marketing, 34(1), 22–45. https://doi.org/10.1016/j.ijresmar.2016.11.006
- Kiselova, H. (2019). Effective email marketing: an empirical study of the impact of personalized communication on customer engagement and purchase decisions (Master's thesis, Handelshøyskolen BI).
- Ko, E., Kim, S. H., Kim, M., & Woo, J. Y. (2008). Organizational characteristics and the CRM adoption process. Journal of Business Research, 61(1), 65–74. https://doi.org/10.1016/j.jbusres.2006.05.011
- Kumar, V., Aksoy, L., Donkers, B., Venkatesan, R., Wiesel, T., & Tillmanns, S. (2010). Undervalued or overvalued customers: Capturing total customer engagement value. Journal of Service Research, 13(3), 297–310. https://doi.org/10.1177/1094670510375602
- Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96. https://doi.org/10.1509/jm.15.0420
- Martin, K. E. (2018). The penalty for privacy violations: How privacy violations impact trust online. Journal of Business Research, 82, 103–116. https://doi.org/10.1016/j.jbusres.2017.08.034
- Martin, K., & Murphy, P. E. (2017). The role of data privacy in marketing. Journal of the Academy of Marketing Science, 45(2), 135–155. https://doi.org/10.1007/s11747-016-0495-4
- Mirbagheri, S. M., & Hejazi, S. R. (2019). Factors affecting digital marketing performance: A meta-analysis. International Journal of Information Management, 45, 287–300. https://doi.org/10.1016/j.ijinfomgt.2018.10.016
- Nguyen, B., Simkin, L., & Canhoto, A. (2020). The dark side of CRM: Advantaged and disadvantaged customers. Journal of Business Research, 116, 209–219. https://doi.org/10.1016/j.jbusres.2020.05.017
- Park University (2025). 10 Effective Marketing Strategies for 2025, https://www.park.edu/blog/effective-marketing-strategies/
- Parmar, H., & Gosai, A. (2015). Analysis and study of network security at transport layer. International Journal of Computer Applications, 121(13).
- Peltier, J. W., Schibrowsky, J. A., & Zhao, Y. (2009). Understanding the antecedents to the adoption of CRM technology by small retailers. International Journal of Retail & Distribution Management, 37(9), 699–718. https://doi.org/10.1108/09590550910975857
- Ramachandran, A., Feamster, N., & Vempala, S. (2007). Filtering spam with behavioral blacklisting. Proceedings of the 14th ACM Conference on Computer and Communications Security (CCS), 342–351. https://doi.org/10.1145/1315245.1315289
- Reinartz, W., Thomas, J. S., & Kumar, V. (2005). Balancing acquisition and retention resources to maximize customer profitability. Journal of Marketing, 69(1), 63–79. https://doi.org/10.1509/jmkg.69.1.63.55511
- Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press. https://scholar.google.com/scholar_lookup?title=Diffusion+of+Innovations&author=E.M.+Rogers&publication_year=2003
- Rugova, B., & Prenaj, B. (2016). Social media as marketing tool for SMEs: opportunities and challenges. Academic Journal of Business, 2(3), 85-97.
- Samarati, P., & Vimercati, S. D. C. D. (2016). Data protection in outsourcing scenarios: Issues and directions. Journal of Systems and Software, 111, 128–140. https://doi.org/10.1016/j.jss.2015.03.072
- Shah, S., Malik, H., & Aneja, N. (2020). A framework for secure email communication using encryption and authentication techniques. Journal of Information Security and Applications, 53, 102530. https://doi.org/10.1016/j.jisa.2020.102530
- Spathoulas, G., & Katsikas, S. (2010). Enhancing SMTP with security extensions: Preventing spoofing attacks. Computers & Security, 29(7), 830–843. https://doi.org/10.1016/j.cose.2010.07.001
- Tikkinen-Piri, C., Rohunen, A., & Markkula, J. (2018). EU General Data Protection Regulation: Changes and implications for personal data collecting companies. Computer Law & Security Review, 34(1), 134–153. https://doi.org/10.1016/j.clsr.2017.05.015
- Trainor, K. J., Rapp, A., Beitelspacher, L. S., & Schillewaert, N. (2011). Integrating information technology and marketing: An examination of the drivers and outcomes of e-Marketing capability. Industrial Marketing Management, 40(1), 162–174. https://doi.org/10.1016/j.indmarman.2010.05.001
- Tsimonis, G., & Dimitriadis, S. (2014). Brand strategies in social media. Marketing Intelligence & Planning, 32(3), 328–344. https://doi.org/10.1108/MIP-04-2013-0056
- Uyar. O. (2024). Meal prep business customer retention https://metrobi.com/blog/meal-prep-business-customer-retention/
- Uzoma, E., Enyejo, J. O. & Olola, T. M. (2025). A Comprehensive Review of Multi-Cloud Distributed Ledger Integration for Enhancing Data Integrity and Transactional Security, International Journal of Innovative Science and Research Technology Volume 10, Issue 3, March ISSN No:-2456-2165 https://doi.org/10.38124/ijisrt/25mar1970
- Verhoef, P. C. (2003). Understanding the effect of customer relationship management efforts on customer retention and customer share development. Journal of Marketing, 67(4), 30–45. https://doi.org/10.1509/jmkg.67.4.30.18685
- Villanueva, J., Yoo, S., & Hanssens, D. M. (2008). The impact of marketing-induced versus word-of-mouth customer acquisition on customer equity growth. Journal of Marketing Research, 45(1), 48–59. https://doi.org/10.1509/jmkr.45.1.48
- Wamba-Taguimdje, S. L., Fosso Wamba, S., Kala Kamdjoug, J. R., & Tchatchouang Wanko, C. E. (2020). Influence of artificial intelligence (AI) on firm performance: The business value of AI-based transformation projects. Business Process Management Journal, 26(7), 1893–1924. https://doi.org/10.1108/BPMJ-10-2019-0412
- Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126, 3–13. https://doi.org/10.1016/j.techfore.2015.12.019
- Wedel, M., & Kannan, P. K. (2016). Marketing analytics for data-rich environments. Journal of Marketing, 80(6), 97–121. https://doi.org/10.1509/jm.15.0413
- Wiesel, T., Skiera, B., & Villanueva, J. (2008). Customer equity: An integral part of financial reporting. Journal of Marketing, 72(2), 1–14. https://doi.org/10.1509/jmkg.72.2.1
This review paper explores the intersection of secure email marketing, cloud automation, and revenue
optimization in home-based food enterprises. As digital transformation reshapes microenterprise operations, email
marketing remains a cost-effective and high-ROI strategy for customer engagement, retention, and brand visibility.
However, home food businesses often lack the technical infrastructure to maximize these tools securely and efficiently. The
study evaluates how integrating Secure Simple Mail Transfer Protocol (SMTP) with cloud-based marketing automation
platforms—such as Mailchimp, Klaviyo, and AWS SES—can enhance deliverability, compliance, and personalized
outreach. Emphasis is placed on key performance indicators (KPIs) such as click-through rates, conversion rates,
customer lifetime value (CLV), and average order value (AOV). The review further investigates the role of automation
workflows, behavior-triggered campaigns, A/B testing, and segmentation in driving customer re-engagement and reducing
churn. Security considerations including domain authentication (SPF, DKIM, DMARC), data encryption, and compliance
with regulations like GDPR and CAN-SPAM are also analyzed. Case studies of successful home food enterprises are
reviewed to identify best practices and revenue-growth patterns. The paper concludes by recommending scalable
frameworks and secure digital infrastructure that enable small food businesses to harness email marketing technologies
while safeguarding customer data and enhancing long-term profitability.
Keywords :
Email Marketing; Home Food Enterprises; Revenue Optimization; Secure SMTP; Cloud Automation.