© 2018 Rualo Noel Levitz | 2018 Marketing and Student Recruitment Report of Eective Practices 14
RUFFALO NOEL LEVITZ
MANAGEMENT PRACTICES
Respondents evaluated the following nine operations, systems, and strategies that help them with their
recruitment and marketing programs.
TAKEAWAY
Investigate behavior/engagement scoring with digital tracking. This practice is one of the most underutilized opportunities
from this study. Today’s students do not respond in traditional ways, and many immediately go to an institution’s website
to research on their own. This scoring and web tracking provides campuses with incredibly valuable behavioral insight for
these students that otherwise would be lost.
Focus engagement eorts with statistical modeling. Private institutions and especially public institutions can use
statistical modeling to see which students will best respond to their eorts to influence enrollment. As the competition
for students grows, this enrollment likelihood can save valuable time and resources by prioritizing the students campuses
should target as well as reveal promising prospects who may have been otherwise overlooked.
98% 100%
98%
100%
98% 100%
97%
100%
97%
97%
96%
97%
96%
93%
95%
91%
92%
91%
81% 72%
89%
81%
74% 85%
89%
34%
46%
70%
76%
66%
79%
30%
83%
47%
73%
49%
Search engine optimization
strategies to improve organic
search results
Analytics resources such as
Google Analytics to provide
data for decision making (search
engine optimization, fine-tuning
recruitment/admissions portion of
the website, etc.)
Statistical modeling to predict
the likelihood of a
prospective student enrolling
at your institution
CRM solution for managing
and tracking recruitment
communications, online
applications, etc.
Use of behavioral/
engagement scoring with
digital/web tracking
Admissions tracking to
monitor and predict students’
incremental rates of
movement toward enrollment
Using a statistical, analytical
approach to determine financial aid
award levels by predicting enrollment
rates based on award amounts
(aka “financial aid leveraging”)
Systematically contacting admitted
students to code their level of
interest in enrolling at your
institution (“qualifying admits”)
Systematically contacting inquiries
to code their level of interest
in enrolling at your institution
(“qualifying inquiries”)
Search engine optimization
strategies to improve organic
search results
Analytics resources such as
Google Analytics to provide
data for decision making (search
engine optimization, fine-tuning
recruitment/admissions portion of
the website, etc.)
CRM solution for managing
and tracking recruitment
communications, online
applications, etc.
Using a statistical, analytical
approach to determine financial aid
award levels by predicting enrollment
rates based on award amounts
(aka “financial aid leveraging”)
Systematically contacting admitted
students to code their level of
interest in enrolling at your
institution (“qualifying admits”)
Admissions tracking to
monitor and predict students’
incremental rates of
movement toward enrollment
Use of behavioral/
engagement scoring with
digital/web tracking
Systematically contacting inquiries
to code their level of interest in
enrolling at your institution
(“qualifying inquiries”)
Statistical modeling to predict
the likelihood of a
prospective student enrolling
at your institution
FOUR-YEAR PRIVATE INSTITUTIONS FOUR-YEAR PUBLIC INSTITUTIONS
Using
Eective