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The field of strategic enrollment management has become increasingly invested in data-informed practices. In 2015, The College at Brockport, State University of New York implemented a recruitment strategy that incorporated both predictive analytics and customer relationship management (CRM) technology. This effort both reduced budget expenditures and yielded the largest incoming first-year cohort in over 30 years. A step-by-step pragmatic approach is introduced to allow key enrollment management leaders the ability to understand how to seamlessly integrate statistical modeling with constituent relationship marketing platforms. By providing key components related to design, development procedures for statistical model development, and outcomes, SEM managers can utilize the knowledge gained from this primer in their SEM efforts.

Randall Langston serves as the assistant vice president for enrollment management at the College of Brockport, State University of New York, where he provides leadership to the Admissions, Financial Aid, Registration & Records, and the Academic Advisement areas within the Enrollment Management and Student Affairs division. In his role at Brockport, Randall is responsible for initiating strategic high-level discussion surrounding campus-wide enrollment management issues, preparing enrollment and revenue projections collaboratively with other departments on campus, interpreting predictive modeling, and collaborating on institutional financial aid leveraging strategy for new and continuing students. Randall earned a bachelor’s degree in 1994 from Sam Houston State University in Texas and a master’s degree from Texas Tech University in 1995.

David Loreto is the Assistant Director of Admissions at The College at Brockport, State University of New York and brings over 12 years of enrollment management experience from the private and public sectors. He holds a Bachelor’s degree in Business Administration from SUNY Geneseo (NY) and a Master’s in International Business from D’Youville College (NY). Dave is responsible for system administration & maintenance of CRM platform, development and coordination of multi-channel student communication plans, and other digital recruitment initiatives. He presents on a number of topics including statistical predictive modeling, Google Analytics, and CRM technology and has published research related to international student recruitment.

Ackerman, R., and Schibrowsky, J. 2007. A business marketing strategy applied to student retention: A higher education initiative. Journal of College Student Retention: Research, Theory & Practice. 9(3): 307–336.

Batty M., A. Tripathi, A. Kroll, C.P. Wu, D. Moore, C. Stehno, L. Lau, J. Guszcza, and M. Katcher. 2010. Predictive Modeling for Life Insurance: Ways Life Insurers Can Participate in the Business Analytics Revolution. New York: Deloitte Consulting, LLP.

Bejou, D., and Bejou, A. 2016. Shared governance: The key to higher education equilibrium. Journal of Relationship Marketing. 15(1–2): 54–61.

Berry, L.L. 1995. Relationship marketing of services—growing interest, emerging perspectives. Journal of the Academy of Marketing Science. 23(4): 236–245.

Bewick, V., Cheek, L., and Ball, J. 2005. Statistics review 14: Logistic regression. Critical Care. 9(1): 112–128.

Bligh, P., and Turk, D. 2004. CRM Unplugged: Releasing CRM’sStrategic Value. Hoboken, NJ: Wiley.

Bontrager, B. 2004. Strategic enrollment management: Core strategies and best practices. College and University. 79(4): 9–15.

Brinkman, P.T., and McIntyre, C. 1997. Methods and techniques of enrollment forecasting. New Directions for Institutional Research. 1997(93): 67–80.

Brooks, S.H. 1996. Econometric modeling of enrollment behavior. Journal of Student Financial Aid. 26(3): 7–17.

Campanelli, M. 2007. Educational institutions turn to CRM, predictive analytics. DMNews.com. June 14.

Chen, I.J., and Popovich, K. 2003. Understanding customer relationship management (CRM): People, process and technology. Business Process Management Journal. 9(5): 672–688.

Curs, B., and Singell, L.D. 2002. An analysis of the application and enrollment processes for in-state and out-of-state students at a large public university. Economics of Education Review. 21(2): 111–124.

Dennis, M.J. 1998. A Practical Guide to Enrollment and Retention Management in Higher Education. Westport, CT: Greenwood.

DesJardins, S.L., Ahlburg, D.A., and McCall, B.P. 2006. An integrated model of application, admission, enrollment, and financial aid. Journal of Higher Education. 77(3): 381–429.

DesJardins, S.L., and Bell, A. 2006. Using economic concepts to inform enrollment management. New Directions for Institutional Research. 2006(132): 59–74.

DiMaria, D.L. 2015. A systems approach to international enrollment: Identifying and overcoming six prevalent myths. The EvoLLLution. August 3.

Dolence, M.G. 1998. Strategic enrollment management. In Handbook for the College Admissions Profession, edited by C. Swann and S.E. Henderson. Washington, D.C.: Greenwood Press.

Eduventures. 2013. Predictive analytics in higher education: Data driven decision making for the student life cycle (white paper). Boston: Eduventures.

Fickel, L. 1999. Know your customer. CIO Magazine. 12(21): 62–72.

Fredette, M. 2013. Top 7 CRM trends. Campus Technology. March 5.

Goenner, C.F., and Pauls, K. 2006. A predictive model of inquiry to enrollment. Research in Higher Education. 47(8): 935–956.

Goyal, M., and Vohra, R. 2012. Applications of data mining in higher education. International Journal of Computer Science. 9(2): 113–120.

Hahn, G.J. 1973. The coefficient of determination exposed! Chemical Technology. 3(10): 609–612.

Harrell, F. 2015. Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. New York: Springer.

Hillman, N.W. 2012. Tuition discounting for revenue management. Research in Higher Education. 53(3): 263–281.

Hossler, D. 1990. The Strategic Management of College Enrollments. San Francisco: Jossey-Bass.

Hossler, D., and Kalsbeek, D. 2013. Enrollment management and managing enrollments: Revisiting the context for institutional strategy. Strategic Enrollment Management Quarterly. 1(1): 5–25.

Hung, S.Y., Hung, W.H., Tsai, C.A., and Jiang, S.C. 2010. Critical factors of hospital adoption on CRM system: Organizational and information system perspectives. Decision Support Systems. 48(4): 592–603.

Kabakchieva, D. 2013. Predicting student performance by using data mining methods for classification. Cybernetics and Information Technologies. 13(1): 61–72.

Karlson, K.B., Holm, A., and Breen, R. 2012. Comparing regression coefficients between same-sample nested models using logit and probit a new method. Sociological Methodology. 42(1): 286–313.

Kilgore, W., and Bloom, T. 2014. 2014–15 State of CRM Use in Higher Education Report. Washington, D.C.: American Association of Collegiate Registrars and Admissions Officer

Linoff, G.S., and Berry, M.J. 2011. Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (3rd ed.). Indianapolis, IN: Wiley.

Mokhtarian, K. 2013. The value of customer relationship management in non-traditional higher education (part 2). The EvoLLLution. August 5.

Nassif, A.B., Capretz, L.F., and Ho, D. 2012. Analyzing the non-functional requirements in the desharnais dataset for software effort estimation. 11th Annual Conference for Upcoming Engineers (ICUE), August, Toronto, Ontario, Canada.

Noel-Levitz. 2013. 2013 Marketing and Student Recruitment Practices Benchmark Report for Four-Year and Two-Year Institutions. Coralville, Iowa: Noel-Levitz.

Norris, D.M., and Baer, L.L. 2013. Building organizational capacity for analytics. Educause Learning Initiative. 2013: 7–56.

Oguntoyinbo, L. 2015. Colleges study successful students: Why and how some higher ed institutions are using data to profile successful students. University Business. October 22.

Park, C.H., and Kim, Y.G. 2003. A framework of dynamic CRM: Linking marketing with information strategy. Business Process Management Journal. 9(5): 652–671.

Payne, A., and Frow, P. 2005. A strategic framework for customer relationship management. Journal of Marketing. 69(4): 167–176.

Peng, C.Y. J., Lee, K.L., and Ingersoll, G.M. 2002. An introduction to logistic regression analysis and reporting. Journal of Educational Research. 96(1): 3–14.

Penn, G. 1999. Enrollment management for the 21st Century: Institutional goals, accountability, and fiscal responsibility. ASHE-ERIC Higher Education Report. 26(7).

Rababah, K., Mohd, H., and Ibrahim, H. 2011. A unified definition of CRM towards the successful adoption and implementation. Academic Research International. 1(1): 220–228.

Robinson, K.B. 2013. Perceptions of strategic enrollment management in schools of public health. Unpublished doctoral dissertation, University of Georgia, Athens, GA.

Shani, D., and Chalasani, S. 2013. Exploiting niches using relationship marketing. Journal of Services Marketing. 9(3): 33–42.

Vianden, J., and Barlow, P.J. 2014. Showing the love: Predictors of student loyalty to undergraduate institutions. Journal of Student Affairs Research and Practice. 51(1): 16–29.

Wu, I., and Wu, K. 2005. A hybrid technology acceptance approach for exploring e-CRM adoption in organizations. Behavior and Information Technology. 24(4): 303–316.

Yu, C.H., DiGangi, S., Jannasch-Pennell, A., and Kaprolet, C. 2010. A data mining approach for identifying predictors of student retention from sophomore to junior year. Journal of Data Science. 8(2): 307–325.

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