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This study sought to understand the relationship between undergraduate yield and an institution’s Internet presence. Data were collected from 2018 U.S. News & World Report national university rankings, the Integrated Postsecondary Education Database (IPEDS), and summer 2018 (June-August) SEMrush data, a web metrics database housing institutional (.edu) search and traffic information. Results demonstrate, when controlling for institutional characteristics, organic keywords/search-engine optimization (p < 0.001) predicts undergraduate yield as well as overall number of undergraduate applications (p < 0.001) and better than undergraduate admission rate (p < 0.05). Implications for research and practice are addressed, in addition to implications for theory regarding online academic capitalism and summer melt.

taylor-z--smZ.W. (Zach) Taylor, Ph.D., is an Institutional Support Consultant with Trellis Company in Round Rock, Texas. He has published more than 60 peer-reviewed articles focused on clear communication for first-generation college students and English-language learners. His work has been published by Community College Journal of Research and Practice, Journal of College Student Development, and Higher Education Quarterly, among others.

Alsmadi, I., and Z. W. Taylor. 2018. Examining university ranking metrics: Articulating issues of size and web dependency. In ICCBD Proceedings of the 2018 International Conference on Computing and Big Data, 73–77.

Alsmadi, I., and Z. W. Taylor. 2019. Does size matter? An evaluation of institutional internet ranking metrics. Technology & Resources in Education, 1–24.

Areces, D., L. J. R. Muñiz, J. S. Álvarez, Y. de la Roca, and M. Cueli. 2016. Information sources used by high school students in the college degree choice. Psicothema. 28(3): 253–259.

Bowman, N. A., and M. N. Bastedo. 2009. Getting on the front page: Organizational reputation, status signals, and the impact of U.S. News and World Report on student decisions. Research in Higher Education. 50(5): 415–436.

Burdett, K. 2013. How students choose a college: Understanding the role of internet based resources in the college choice process (doctoral dissertation). University of Nebraska-Lincoln.

Castleman, B. L., K. Arnold, and K. L. Wartman. 2012. Stemming the tide of summer melt: An experimental study of the effects of post-high school summer intervention on low income students’ college enrollment. Journal of Research on
Educational Effectiveness
. 5(1): 1–17.

Castleman, B. L., and L. C. Page. 2014. A trickle or a torrent: Understanding the extent of summer “melt” among college-intending high school graduates. Social Science Quarterly. 95(1): 202–220.

Castleman, B. L., and L. C. Page. 2015. Summer nudging: Can personalized text messages and peer mentor outreach increase college going among low-income high school graduates? Journal of Economic Behavior & Organization. 115:
144–160.

Castleman, B. L., L. C. Page, and K. Schooley. 2014. The forgotten summer: Does the offer of college counseling after high school mitigate summer melt among college-intending, low-income high school graduates? Journal of Policy Analysis
and Management
. 33(2): 320–344.

Cortez, M.B. 2018. Universities deploy chatbots to aid students in the admissions process and beyond. EdTech. March 9.

Daun-Barnett, N., and D. Das. 2013. Unlocking the potential of the internet to improve college choice: A comparative case study of college-access web tools. Journal of Marketing for Higher Education. 23(1): 113–134.

Ford, W. G. 2011. Evaluating the effectiveness of college web sites for prospective students. Journal of College Admission. 212: 26–31.

Goff, B., V. Patino, and G. Jackson. 2004. Preferred information sources of high school students for community colleges and universities. Community College Journal of Research and Practice. 28(10): 795–803.

Google, LLC. 2020. Set a Budget That Works for You. Mountain View, CA: Author.

Harvard University. 2018. Strategic Data Project: Summer Melt. Cambridge, MA: Center for Education Policy Research.

Jones, S. 2002. The Internet Goes to College. Washington, D.C.: Pew Research Center.

Luca, M., and J. Smith. 2013. Salience in quality disclosure: Evidence from the U.S. News college rankings. Journal of Economics & Marketing Strategy. 22(1): 58–77.

Meredith, M. 2004. Why do universities compete in the ratings game? An empirical analysis of the effects of the U.S. News and World Report college rankings. Research in Higher Education. 45(5): 443–461.

National Center for Education Statistics. 2018. IPEDS: Use the Data. Washington, D.C.: Author.

O’Connor, P. 2018. Summer melt: Why one third of college-bound students don’t make it to campus in the fall. Homeroom. June 4.

Pew Research Center. 2018. Internet/Broadband Fact Sheet. Washington, D.C.: Author.

SEMrush. 2018. Dashboard. Boston: Author.

Simões, C., and A. M. Soares. 2010. Applying to higher education: Information sources and choice factors. Studies in Higher Education. 35(4): 371–389.

Supiano, B. 2018. You can help make sure freshman show up. Here’s how. The Chronicle of Higher Education. February 18.

Taylor, Z. W., J. Childs, I. Bicak, and I. Alsmadi. 2019. Is bigger, better? Exploring U.S. News graduate education program rankings and internet characteristics. Interchange: A Quarterly Review of Education. 50: 205–219.

U.S. News & World Report. 2018. U.S. News & World Report announces the 2018 best colleges. New York: Author.

Vedantam, S. 2018. Summer melt: Why aren’t students showing up for college? NPR. June 18.

WordStream. 2018. Organic Keyword: What Is an Organic Keyword? Boston: Author.

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