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Table of Contents


Overview                           1–2          Geographic
Reference Information              3–5           Prospects: Top 10 MD Cities                 42
Conversion Rates & Funnels           6           Applicants: Top 10 MD Cities                43
Prospect Questionairre             7–8           Matriculated: Top 10 MD Cities              44
Web                                              Prospects: MD Counties                      45
 Web Visits                          9           Applicants: MD Counties                     46
 Unique Visitors                    10           Matriculated: MD Counties                   47
 Average Visit Duration             11           Applicants: US State                        48
 Bounce Rate                        12           Applicants: Non-US Countries                49
 Pages Per Visit                    13           Matriculated: Non-US Countries              50
 Pageviews                          14          Enrollment Funnel
 Visits by Month                    15           Prospects: Timeline 03–12                   51
 Unique Visits by Month             16           Prospects: Timeline 09–12                   52
 Average Visit Duration by Month    17           Prospects: Timeline 10–12                   53
 Bounce Rate by Month               18           Prospects: Year Over Year                   54
 Pages Per Visit by Month           19           Applicants: Timeline 06–12                  55
 Pageviews by Month                 20           Applicants: Year Over Year                  56
 MBA Homepage Bio Demo              21           Stealth Applicants by Term                  57
 MBA Homepage Visitors by State     22           Matriculated Year Over Year                 58
 MBA Homepage Audience Profile      23          Subplan
Sex                                              Subplan by Status                           59
 Sex: Prospects                     24          Conversion Intervals
 Sex: Applicants                    25           Prospect to Applicant: Months               60
 Sex: Matriculated                  26           Applicant to Matriculated: Months           61
 Sex: Enrolled                      27           Prospect to Matriculated: Months            62
Race                                             Conversion Intervals by Status/Term         63
 Race: Prospects                    28          Enrollment
 Race: Applicants                   29           Term: Online                                64
 Race: Matriculated                 30           Term: Face-To-Face                          65
 Race: Enrolled                     31           Term/Age/Delivery (Fall 12)                 66
Age                                              Term/Gender/Delivery (Fall 12)              67
 Age: Prospects 18–55 by Age        32           Term/Delivery /Gender/Credits (Fall 12)     68
 Age: Prospects 18–55 by Term       33           Term/Race                                   69
 Age: Applicants 18–55 by Age       34           Term/Delivery/MD/City (Fall 12)             70
 Age: Applicants 18–55 by Term      35           Term/Sub-Plan/Delivery (Fall 12)            71
 Age: Applicants by Year            36          Past Marketing
 Age: Matriculated 18–55 by Age     37           MGH Online Results July '12               72–75
 Age: Matriculated 18–55 by Term    38          Tuition & Fees Comparison                     76
 Age: Matriculated by Year I        39          MGH Campaign Analysis: Web Traffic         77–78
 Age: Matriculated by Year II       40          MGH Media Schedules
 Age: Enrolled to 55                41           Fiscal 2008–09                               79
                                                 Fiscal 2009–10                               80
                                                 Fiscal 2010–11                               81
                                                 Summer 2012                                  82
                                                Millennial Notes                           83–86
OVERVIEW
Introduction
       University of Baltimore and Towson University began jointly offering the UB/Towson MBA degree program
       in 2006. Prospect volume has trended upward since; however applications and enrollments have been in
       decline since at least 2009.

       While the decline in applications and enrollments can be attributed to many factors, this request for
       proposal seeks to address marketing-centric factors, specifically branding, creative, media strategy and web
       presence.

       RFP recipients are asked to participate in a preliminary review meeting with the program team
       within one week of receiving this document. In addition, RFP Recipients are asked to respond
       within four weeks with an in-person presentation to the program team at a mutually convenient
       date, time and location. Extensive data is summarized and attached to provide a strategic
       foundation for presentation preparation.

       An open and ongoing dialog throughout the four-week preparation process is encouraged, and the
       point of contact for all questions is listed below.

       A decision will be rendered by the program team within two weeks of the final presentation.

Point of Contact
       Jesse Trahan
       Director of Graduate Marketing
       Towson University
       410-704-2025
       jtrahan@towson.edu




                                                                                                              1
Branding
        Issue: The program’s current designation as “UB/Towson MBA” (or any variant incarnations) is bland and uninspired.
        Alumni who participated in MBA redesign focus groups related issues with placing it on their resumes including out-of-
        state employers asking “What is the ub tow son MBA?”

        Visually, the juxtaposition of our two university logos next to the name is awkward and needs to be treated in such a
        way as to double the program’s effectiveness and enhance its brand equity.

        Objective: A standalone identity (name and mark) for the program with caché and gravitas that combines both
        University names and strongly references the program’s contemporary nature and dual Baltimore locations. For
        example:
                                                         The Baltimore MBA
                                                University of Baltimore / Towson University

        Requested: 1–3 program names and accompanying marks, at least one of which should be a combination of UB’s
        “sliced quad” and TU’s “banners”


Creative
        Issue: Historically, messaging and visuals have been driven by short-term goals (increasing enrollment in the next 1–2
        terms) and thus have lacked continuity. Messaging, tone, and visuals were produced with little audience insight from
        the universities.

        Objective: Develop a multi-year evolutionary campaign that communicates the program’s most prominent strengths
        and differentiators using language and imagery that is customized to our audience(s) as defined in the accompanying
        overview and detailed analysis.

        Requested: 1-3 campaign concepts with accompanying radio script, print advertisement and banner advertisement
        samples


Media
        Issue: Historically, media strategy has been driven by short-term (upcoming 1-2 terms) goals and as such has lacked
        continuity and university-provided target audience insight. Past media plans may be referenced on pages XXX-XXX.

        Objective: Develop an annual media strategy that is customized to our audience(s) as detailed in the Data Summary
        below. Provide detailed ROI reporting including recommendations for optimization, experimentation and new
        opportunities, on a monthly basis with the option to review formally via conference call or meeting.

        Requested: Media strategy and schedule for the remainder of this fiscal year ($94,000) and the upcoming fiscal year
        ($130,000)


Web Presence
        Issue: The web site has not been refreshed for two years.

        Objective: Develop a new web site that is customized to our audience(s) as detailed in the Data Summary below and
        representative of the branding and creative outlined above.

        Requested: 1–3 home page treatments, an outline of your web (re)design process, and relevant examples of finished
        products




                                                                                                                          2
REFERENCE INFORMATION
Online & On-Campus
      Students can complete the entire degree online, but only with a general specialization because not all specialization
      elective courses are offered online.

      Students may take all fundamental and core courses at either university. However, these courses switch between
      semesters. For example, UB will offer MGMT 600 in the fall and Towson will offer it in the spring. A student could
      conceivably take all the core and fundamental courses on one campus.

      An elective course is usually offered at the campus that has a teaching proficiency in it. It is doubtful a student could
      finish their elective at one on-campus location.


SWOT Analysis

                       STRENGTHS                                         OPPORTUNITIES
       AACSB Accredited                                    Increase in 18–24 segment
       Less expensive than Johns Hopkins and
                                                           Increase in face-to-face students
       UMCP
       Competitively priced with Loyola                    Alumni success
       Racially diverse student body                       Employer affinity
       2 campuses                                          Upcoming curriculum redesign
       Any combination of face-to-face, part-time,         Cost positioning against Loyola, Johns
       online, full-time                                   Hopkins and UMCP
       Strong Baltimore City/County-sourced                Brand positioning against UMUC, Frostburg
       student body                                        and Mt. Saint Mary’s
       More brand equity than UMUC, Frostburg
       and Mt. Saint Mary’s




                       WEAKNESSES                                            THREATS
       Inconsistent marketing                              Contracting enrollment funnel
       Similar in cost to Loyola                           Dual university confusion, apprehension
       Many specializations unavailable online             Decrease in online students
       Weak presence outside of MD                         Lack of out-of-state recognition
       More expensive than UMUC, Frostburg and             Lengthening prospect-to-applicant
       Mt. Saint Mary's                                    timelines
       Less brand equity than Loyola, Johns                Frostburg's accreditation, online option,
       Hopkins and UMCP                                    aggressive marketing
                                                           Decrease in stealth applications
                                                           Decrease in 30–34 segment




                                                                                                                            3
Data Summary
     Sex: Applicants (26)
            Males prefer part-time (strongest overall segment) both online and face-to-face (69)
            Females prefer part-time overall, but full time when face-to-face (69)

             Feb 2006–Oct 2012:                          Oct 2011–Oct 2012:
             52% Male, 46% Female                        54% Male, 45% Female


      Race: Applicants (30)
            Whites have been steadily increasing, with a decline in 2009
            Blacks, Asians and Hispanics peaked in 2009 and have been declining since
            Blacks had a strong resurgence in Fall 2012 (perhaps an anomaly)

             Feb 2006–Oct 2012:                          Oct 2011–Oct 2012:
             41%        White                            49%        White
             27%         Black                           30%         Black
             18%        Blank                            11%        Blank
             13%        Asian                            10%        Asian


      Age: Applicants (35-37)
             Feb 2006–Oct 2012:                          Oct 2011–Oct 2012:
             10%        18–24                            27%        18–24
             39%        25–29                            39%        25–29
             26%        30–34                            16%        30–34
             12%        35–39                             8%        35–39
              6%        40–44                             5%        40–44
              3%        45–49                             2%        45–49
              2%        50–55                             2%        50–55


      Top 10 Maryland Cities (43-45)
             Feb 2006–Oct 2012:                          Oct 2011–Oct 2012:
             1. Baltimore                                1. Baltimore
             2. Owings Mills                             2. Towson
             3. Towson                                   3. Owings Mills
             4. Bel Air                                  4. Bel Air
             5. Parkville                                5. Cockeysville
             6. Columbia                                 6. Columbia
             7. Ellicott City                            7. Annapolis
             8. Cockeysville                             8. Parkville
             9. Abingdon                                 9. Ellicott City
             10. Annapolis                               10. Abingdon




                                                                                                    4
Top 8 Maryland Counties (46-48)
            Feb 2006–Oct 2012:                                   Oct 2011–Oct 2012:
            1. Baltimore City                                    1. Baltimore City
            2. Baltimore                                         2. Baltimore
            3. Anne Arundel                                      3. Anne Arundel
            4. Harford                                           4. Prince George’s
            5. Howard                                            5. Harford
            6. Prince George’s                                   6. Montgomery
            7. Montgomery                                        7. Howard
            8. Carroll                                           8. Carroll


Application Volume & Patterns (56-57)
      Due to deadlines, applications in the program ramp up Feb, peaking in Aug and ramp up Sep,
       peaking in Jan (57)


Delivery Mode (65-69)
      Face-to-face enrollment is greater than online enrollment by an approximate ratio of 5–4 (67)
      Online enrollment ramped up to a 2010 peak, and has declined since (65)
      Face-to-face enrollment ramped up to 2008, declined 2009-2010, and ramped back up 2011-12
       (opposite of online) (66)


Distance--Top Maryland Cities (43-45, 71)
      Distance does not appear to be a delivery method factor

                                           Approximate Ratio
                      City
                                    Face-To-Face       Online
                 Baltimore          5                  4
                 Owings Mills       8                  7
                 Towson             7                  5
                 Parkville          4                  3
                 Bel Air            3                  2
                 Ellicott City      1                  1
                 Cockeysville       2                  1
                 Columbia           8                  7
                 Annapolis          1                  1
                 Abingdon           1                  2


Sub-Plans by Delivery (60, 67-69, 72)
      Top 3 specializations, after “general,” are finance, marketing, and health management
      Finance is more popular face-to-face 2–1
      Marketing is more popular face-to-face 3–2
      Health management is more popular face-to-face 2–1




                                                                                                       5
UB/Towson University
                                                                                           MBA Enrollment Funnels

Term Prosps PApps CApps Admits Accepts Enrolls Denies   Term   Prosps PApps CApps Admits Accepts Enrolls Denies
FA09  986    423   271   236     182    156      35     SP09     630   265   182    162     115    110      20
FA10  810    393   253   214     160    145      39     SP10     604   211   128    112      95     88      16
FA11 1317    414   221   183     127    121      38     SP11     752   231   141    122      84     78      19
FA12 1873    397   210   161     125    104      49     SP12     718   250   140    117      90     85      23

Term Prosps PApps CApps Admits Accepts Enrolls Denies   Term   Prosps PApps CApps Admits Accepts Enrolls Denies
FA09 100% 43%      64%   87%    77%     86%     13%     SP09    100%   42%    69%   89%     71%    96%     11%
FA10 100% 49%      64%   85%    75%     91%     15%     SP10    100%   35%    61%   88%     85%    93%     13%
FA11 100% 31%      53%   83%    69%     95%     17%     SP11    100%   31%    61%   87%     69%    93%     13%
FA12 100% 21%      53%   77%    78%     83%     23%     SP12    100%   35%    56%   84%     77%    94%     16%



                 FA09 Funnel                                              SP09 Funnel
                                              Prosps                                                    Prosps

                                              CApps                                                     CApps

                                              Accepts                                                   Accepts




                 FA10 Funnel                                              SP10 Funnel
                                              Prosps                                                    Prosps

                                              CApps                                                     CApps

                                              Accepts                                                   Accepts




                 FA11 Funnel                                              SP11 Funnel
                                              Prosps                                                    Prosps

                                              CApps                                                     CApps

                                              Accepts                                                   Accepts




                 FA12 Funnel                                              SP12 Funnel
                                              Prosps                                                    Prosps

                                              CApps                                                     CApps

                                              Accepts                                                   Accepts




                Denies Funnel                                            Denies Funnel
                                                FA09                                                      SP09
                                                FA10                                                      SP10
                                                FA11                                                      SP11
                                                FA12                                                      SP12




                                                                                                                  6
Online Question to Prospects (Info Request Form)
What are the three most important factors to you in selecting an
MBA program? (please select only three)

Choices
 AACSB Accreditation
 Career Services
 Cost
 Number of Specializations Available
 Online and On-Campus Learning
 Reputation / Ranking

        291    Population
        261    Sample Size
        99%    Confidence Level
         3%    Confidence Interval

Votes          Feature                                   Percentage*
         183   Cost                                             70%
         140   AACSB Accreditation                              54%
         135   Online / On-Campus                               52%
         101   Career Services                                  39%
         101   # Specializations                                39%
          84   Reputation / Ranking                             32%

*Based on the population and sample size we can say with 99%
confidence that the response percentages are accurate within 3%




                                                                       7
MBA Selection
                                                       Most Important Factors

       *Based on the population and sample size we can say with 99% confidence that the response percentages are accurate within 3%
100%


90%


80%


70%


60%


50%


40%


30%


20%


10%


 0%
         Cost             AACSB Accreditation      Online / On-Campus        Career Services         # Specializations      Reputation / Ranking


                                                                                                                                                   8
-
                                                  10,000
                                                           12,000
                                                                    14,000




                  2,000
                                  6,000




                          4,000
                                          8,000
    2008.07
    2008.08
    2008.09
    2008.10
    2008.11
    2008.12
    2009.01
    2009.02
    2009.03
    2009.04
    2009.05
    2009.06
    2009.07
    2009.08
    2009.09
    2009.10
    2009.11
    2009.12
    2010.01
    2010.02
    2010.03
    2010.04
    2010.05
    2010.06
    2010.07
    2010.08
                                                                             Visits




    2010.09
    2010.10
    2010.11
    2010.12
    2011.01
    2011.02
    2011.03
    2011.04
    2011.05
    2011.06
    2011.07
    2011.08
    2011.09
    2011.10
    2011.11
    2011.12
    2012.01
    2012.02
    2012.03
    2012.04
    2012.05
    2012.06
    2012.07
    2012.08
    2012.09
    2012.10
9
Unique Visitors
9,000


8,000


7,000


6,000


5,000


4,000


3,000


2,000


1,000


   -




                          10
Avg. Visit Duration
0:04:19




0:03:36




0:02:53




0:02:10




0:01:26




0:00:43




0:00:00




                                11
0%
                    10%
                          20%
                                30%
                                      40%
                                            50%
                                                  60%
                                                        70%
     2008.07
     2008.08
     2008.09
     2008.10
     2008.11
     2008.12
     2009.01
     2009.02
     2009.03
     2009.04
     2009.05
     2009.06
     2009.07
     2009.08
     2009.09
     2009.10
     2009.11
     2009.12
     2010.01
     2010.02
     2010.03
     2010.04
     2010.05
     2010.06
     2010.07
     2010.08
     2010.09
     2010.10
                                                              Bounce Rate




     2010.11
     2010.12
     2011.01
     2011.02
     2011.03
     2011.04
     2011.05
     2011.06
     2011.07
     2011.08
     2011.09
     2011.10
     2011.11
     2011.12
     2012.01
     2012.02
     2012.03
     2012.04
     2012.05
     2012.06
     2012.07
     2012.08
     2012.09
     2012.10
12
Pages Per Visit
6.00




5.00




4.00




3.00




2.00




1.00




  -




                         13
-
                           10,000
                                    15,000
                                                      25,000
                                                               30,000
                                                                        35,000
                                                                                 40,000
                                                                                          45,000
                                                                                                   50,000




                                             20,000




                   5,000
     2008.07
     2008.08
     2008.09
     2008.10
     2008.11
     2008.12
     2009.01
     2009.02
     2009.03
     2009.04
     2009.05
     2009.06
     2009.07
     2009.08
     2009.09
     2009.10
     2009.11
     2009.12
     2010.01
     2010.02
     2010.03
     2010.04
     2010.05
     2010.06
     2010.07
     2010.08
     2010.09
                                                                                                            Pageviews




     2010.10
     2010.11
     2010.12
     2011.01
     2011.02
     2011.03
     2011.04
     2011.05
     2011.06
     2011.07
     2011.08
     2011.09
     2011.10
     2011.11
     2011.12
     2012.01
     2012.02
     2012.03
     2012.04
     2012.05
     2012.06
     2012.07
     2012.08
     2012.09
     2012.10
14
Visits by Month
                                  2009   2010   2011         2012

13,000


12,000


11,000


10,000


 9,000


 8,000


 7,000


 6,000


 5,000


 4,000


 3,000


 2,000


 1,000


    -
         Jan   Feb   Mar   Apr   May      Jun          Jul          Aug   Sep   Oct   Nov   Dec


                                                                                                  15
Unique Visits by Month
                                    2009   2010   2011         2012

9,000



8,000



7,000



6,000



5,000



4,000



3,000



2,000



1,000



   -
        Jan   Feb   Mar   Apr     May       Jun          Jul          Aug   Sep   Oct   Nov   Dec


                                                                                                    16
Average Visit Duration by Month
                                    2009   2010   2011         2012

0:04:19




0:03:36




0:02:53




0:02:10




0:01:26




0:00:43




0:00:00
          Jan   Feb   Mar   Apr   May       Jun          Jul          Aug   Sep   Oct   Nov   Dec


                                                                                                    17
Bounce Rate by Month
                                    2009   2010   2011     2012

70%




60%




50%




40%




30%




20%




10%




0%
      Jan   Feb   Mar   Apr   May          Jun       Jul          Aug   Sep   Oct   Nov   Dec


                                                                                                18
Pages Per Visit by Month
                                   2009   2010   2011         2012

6.00




5.00




4.00




3.00




2.00




1.00




  -
       Jan   Feb   Mar   Apr     May      Jun           Jul          Aug   Sep   Oct   Nov   Dec


                                                                                                   19
Pageviews by Month
                                   2009   2010   2011         2012

50,000



45,000



40,000



35,000



30,000



25,000



20,000



15,000



10,000



 5,000



    -
         Jan   Feb   Mar   Apr    May      Jun          Jul          Aug   Sep   Oct   Nov   Dec


                                                                                                   20
MBA Homepage as of Nov 30, 2012
Demographic Attribute                               Composition          Index
                                                                                        Siteographics                       Similar Audience
Gender - Male                                           49.9%             102
                                                                                        Categories of sites that            Websites within our Quantified
Gender - Female                                         50.1%              97
                                                                                        your visitors view online           Publisher program that your visitors
Age - 18-24                                             18.2%             138
Age - 25-34                                             23.0%             111
                                                                                                                            also view
Age - 35-44                                             24.9%              91           Category                 Affinity   Site                                        Site Reach Affinity
Age - 45-54                                             20.7%              92           politics & commentary     2.12      wbal.com                                      246,621          193.06
Age - 55-64                                              9.4%              85           science/nature            1.82      wbaltv.com                                    565,312          174.69
Age - 65+                                                3.7%              65           fantasy sports            1.76      foxbaltimore.com                              170,729          126.77
Head of HH Education - No College                       34.3%              76           regional/local news       1.62      abc2news.com                                  405,682          114.40
Head of HH Education - College                          46.5%             114           fashion/cosmetics         1.53      hot995.com                                    130,003              99.89
Head of HH Education - Grad. School                     19.2%             133           career resources          1.50      studentsreview.com                            243,190              73.74
Ethnicity - Cauc.                                       73.2%              96           science & technology      1.48      search.usnews.com                             141,737              61.08
Ethnicity - Afr. Am.                                    11.8%             129           technology                1.48      gazette.net                                   229,320              53.93
Ethnicity - Asian                                        6.0%             140           nonprofit                 1.44      insidelacrosse.com                            103,930              47.60
Ethnicity - Hisp.                                        7.6%              80           online trading            1.44      fredericknewspost.com                         238,299              44.11
Ethnicity - Other                                        1.5%             104           business news & info      1.42      usnews.rankingsandreviews.com                3,592,656             35.56
HH Income - $0-50k                                      47.8%              94           reference                 1.42      emory.edu                                     128,706              33.63
HH Income - $50-$100k                                   28.9%              99           commerce - food           1.42      nbcwashington.com                             751,458              29.37
HH Income - $100-$150k                                  13.1%             108           news                      1.40      ethiopianairlines.com                         141,104              26.29
HH Income - $150k+                                      10.2%             121           news/information          1.39      brainmass.com                                 629,779              26.28
Affinity represents comparison to average internet site (1 = average)                                                                     © 2011 Quantcast Corporation. All Rights Reserved.
                                                                                                                                          Confidential.
Index represents comparison to US internet audience (100 = average). Data is representative of unique cookies.




                                                                                                                                                                                                       21
Where are MBA Customers?

                           •   50% of the converting audience
                               is located in Maryland.

                           •   Maryland, District of Columbia,
                               and Delaware have the highest
                               index for making a purchase.

                           •   Quantcast’s campaign
                               optimization dynamically adjusts
                               to find users within locations of
                               high concentration.


                                 © 2011 Quantcast Corporation. All Rights Reserved.
                                 Confidential.




                                                                                      22
MBA– Homepage Audience Profile

Audience Is:                                                  Audience Is Not:
Female                                                        Male
Age 25-44                                                     Age 65+
Caucasian and Asian                                           Hispanic
HHI $0-50k                                                    HHI $100-150k

Audience is Interested in:                                    Audience is not Interested in:
Politics & Commentary                                         Kids
Science/Nature                                                Computer Software
Fantasy Sports                                                Games-Online Play
Regional/Local News                                           Teen Communities

Audience is Strong in :                                       Audience is not strong in:
Maryland                                                      Missouri
District of Columbia                                          Wisconsin
Delaware                                                      Arizona
         © 2011 Quantcast Corporation. All Rights Reserved.
         Confidential.




                                                                                               23
Pros Yr.Mo             Sex: Prospects
Sum of #
                                    F
                                   6%
                                        M
                                        6%




             (blank)
              88%




                                             24
App Yr.Mo         Sex: Applicants
Sum of #




                       (blank)
                         1%




                                     F
                                    45%

             M
            54%




                                          25
Matr Yr.Mo         Sex: Matriculated
Sum of #




                          (blank)
                            1%




                                        F
                                       43%


              M
             56%




                                             26
Matr Term Enr         Sex: Enrolled
Sum of #                      (blank)
                                1%




                                         F
                                        42%



                 M
                57%




                                              27
Pros Yr.Mo     Race: Prospects
Sum of #
                       ASIAN
                               HISPA
                        1%
                                0%
                           BLACK
                            3%     WHITE
                                    5%




             (blank)
              91%




                                           28
App Yr.Mo             Race: Applicants
Sum of #




                    (blank)        ASIAN
                     11%            10%




                                                   BLACK
                                                    30%




            WHITE
             49%




                                           HISPA
                                            0%




                                                           29
Matr Yr.Mo               Race: Matriculated
Sum of #

                               ASIAN
                                8%

             (blank)
               7%
                                              BLACK
                                               21%




                                                      HISPA
                                                       0%




                       WHITE
                        63%




                                                              30
Matr Term   Enr             Race: Enrolled
Sum of #


                               ASIAN
                                7%
                  (blank)
                    7%
                                             BLACK
                                              19%




                                                     HISPA
                                                      0%




                       WHITE
                        66%




                                                             31
Pros Yr.Mo                                                                          Age: Prospects 18-55
Sum of #                                                                                      Core Range: 22–26

120
                                      114



                                100
100                                         96
                           93                    92



 80




                                                      60
 60
                                                                     52
                                                           50
                                                                44        44
                      41
 40                                                                            36


                                                                                    25        24
                                                                                                        21        22 23
                                                                                         19        19
 20   17                                                                                                                                 17 17
                 14                                                                                          14                15                15                                14
                                                                                                                          12        11                11 12       11
             8                                                                                                                                                8
                                                                                                                                                                       6
                                                                                                                                                                           4   3        4

  0
      18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55
Age


                                                                                                                                                                                            32
Sum of #                                     Age by Term: Prospects 18-55
                                                 Prospects Skewing Younger Over Time


140




120




100




80
                                                                                                                          Pros Term
                                                                                                                               1104
                                                                                                                               1114
60
                                                                                                                               1124



40




20




 0
      18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55
Age


                                                                                                                                      33
App Yr.Mo                                                               Age: Applicants 18-55
Sum of #                                                                         Core Range 23–26
 90
                                  84

 80



 70                                    68
                                            65


 60

                             51
 50

                                                           43
                                                 39
 40

                                                      31        31 30
 30                     27                                              26

                                                                                 20
 20
                                                                                              16
                                                                                      14 13

                                                                             9                             8   9
 10                 7                                                                                  7                   7                                       7
                                                                                                   6                   6       6       5
      3                                                                                                            4                       4                   4
            1   2                                                                                                                  1           2   1   2   1
  0
      18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
Age


                                                                                                                                                                       34
Sum of #                                      Age: Applicants 18-55
                                                     Core Range 26-30

70

                                                                              App Term
                                                                                    1104    1114     1124
60




50




40




30




20




10




 0
      18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55
Age


                                                                                                                          35
Age: Applicants
                       <25   25-29   30+

100%



90%


                                           37%    36%
80%
                               43%
              50%
70%    58%


60%



50%
                                                  36%
                                           41%
40%

                               45%
30%
              47%

20%
       41%

                                                  28%
10%                                        22%
                               11%
       1%     3%
 0%
       2008   2009            2010         2011   2012


                                                         36
Matr Yr.Mo                                                  Age: Matriculated 18-55
Sum of #                                                               Core Range: 23–26
 70
                           66



 60
                                55


 50

                                     43

 40
                      35
                                               34
                                          33
                                                    30 30
 30

                                                                           23

 20                                                              19

                 14                                                             14
                                                            13        13
                                                                                     12

 10                                                                                           9
                                                                                          7
                                                                                                      6                   6       6
                                                                                                          5       5   5
                                                                                                  4           4
                                                                                                                                      3   3   3           3
                                                                                                                              2                       2
       1     1                                                                                                                                    1
  0
      20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 51 52 53 54
Age


                                                                                                                                                              37
Sum of #                                  Age: Matriculated 18-55
                                                   Core Range: 27-30
30

                                             Matr Term
                                                   1104     1114       1124

25




20




15




10




 5




 0
      20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 50 51 52 53 54 55 56
Age


                                                                                                                    38
Matr Mo                                                     Age: Matriculated
Sum of #                                   Matr Yr
                                                     2008     2009     2010      2011       2012
50


45


40


35


30


25


20


15


10


 5


 0
      20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 63 70
Age


                                                                                                                                            39
Age: Matriculated
                        <25   25-29   30+

100%



90%


                                            37%    36%
80%

              51%               50%
70%    59%


60%



50%
                                                   35%
                                            42%
40%



30%                             42%
              48%
20%    41%

                                                   29%
10%                                         21%

                                9%
 0%           1%
       2008   2009             2010         2011   2012


                                                          40
Matr Term                                            Age to 55: Enrolled
Sum of #                                              Skewing younger in later terms
                                                           Core Range: 24–26
       45



       40



       35



       30



       25



       20



       15



       10



           5



           0
                 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 44 45 47 48 49 51 52 53 54
                                                                  Y

Enr        Age


                                                                                                                41
Pros Yr.Mo                  Top Ten MD Cities: Prospects
Sum of #




                                                MD Silver
                                                 Spring       MD
                                                            Towson

                                                                    MD
                                                                 Columbia


                                                                      MD Ellicott
                                                                        City

                                                                 MD Owings Mills

                                                                     MD Cockeysville

                                                                         MD Bel Air

                                                                        MD Laurel
             MD Baltimore

                                                                                    MD Parkville




                                                                                                   42
App Yr.Mo                  Top 10 MD Cities: Applicants
Sum of #                           46% All; 57% MD
                                                                                Baltimore 28% All; 36% MD


                                   MD Towson
                                               MD Owings
                                                 Mills
                                                           MD Bel Air

                                                                    MD
                                                                 Cockeysvill
                                                                     e

                                                                        MD Columbia


                                                                         MD Annapolis

                                                                          MD Parkville

                                                                    MD Ellicott City



                                                                                      MD Abingdon

            MD Baltimore




                                                                                                            43
Matr Yr.Mo                  Top 10 MD Cities: Matriculated
Sum of #                             50% All; 58% MD
                                                                                Baltimore 31% All; 36% MD


                                             MD Towson
                                                            MD
                                                         Cockeysvill
                                                             e

                                                                   MD Bel Air



                                                                       MD Columbia


                                                                          MD Parkville


                                                                         MD Annapolis


                                                                       MD Ellicott City


             MD Baltimore
                                                                                     MD Owings Mills

                                                                                  MD Abingdon




                                                                                                            44
Pros Yr.Mo                           MD Counties: Prospects
Sum of #                    60% of MD prospects reside in Baltimore/Baltimore City

                                               MD Anne Arundel
                                                    7%
                                                                 MD Prince
                            MD Montgomery                        George’s
                                 9%                                6%

                                                                             MD Howard
                                                                                6%



                                                                                     MD Harford
                                                                                        6%
             MD Baltimore
                17%
                                                                                         MD Carroll
                                                                                           3%




                                            MD Baltimore City
                                                  41%



                                                                                                      45
App Yr.Mo                           MD Counties: Applicants
Sum of #                   61% of MD applicants reside in Baltimore/Baltimore City


                                       MD Anne Arundel
                                            11%
                                                             MD Prince George’s
                                                                    8%


                                                                                  MD Harford
                                                                                     7%




            MD Baltimore                                                             MD Montgomery
               23%                                                                        7%




                                                                                           MD Howard
                                                                                              6%



                                                                                         MD Carroll
                                                                                           3%




                                         MD Baltimore City
                                               33%



                                                                                                       46
Matr Yr.Mo                      MD Counties: Matriculated
Sum of #                    61% of MD matriculated reside in Baltimore/Baltimore City



                                                         MD Howard
                            MD Anne Arundel                 8%
                                 11%

                                                                        MD Montgomery
                                                                             7%



                                                                                        MD Harford
                                                                                           6%


             MD Baltimore
                21%
                                                                                   MD Prince George’s
                                                                                          6%


                                                                                                        MD Carroll
                                                                                                          2%




                                          MD Baltimore City
                                                37%



                                                                                                                     47
App Term       Applicants: US State
Sum of #




                             USA PA
                               7%

                                      USA VA
                                               USA NY
                                        5%
                                                 3%


                                                  USA NJ
                                                   3%
                                                        USA CA
                                                          2%
                                                                  USA DC
                                                                    2%
                                                         USA FL
                                                          1%
                                                                 USA TX
                                                                   1%
                                                            USA NC
                                                              1%



           USA MD
            75%




                                                                           48
App Yr.Mo             Non-US Countries: Applications
Sum of #


                                       SAU, 27




                                                       CHN, 14

            NGA, 46


                                                                  CMR, 12




                                                                      GBR, 11




                                                                    PAK, 10



                                                                 CAN, 7


                                                         KEN, 6

                                                   GHA, 5
                      IND, 69




                                                                                49
Matr Yr.Mo                     Non-US Countries: Matriculated
Sum of #


                                         NGA, 2
                                                   CAN, 1


                                                             SWE, 1

                      TUR, 2
                                                                       IRN, 1




                                                                                KOR, 1




                                                                                  CHN, 1
             THA, 3




                                                                                BMU, 1




                                                                       ZMB, 1



                                                              NPL, 1
                                IND, 4
                                                    SAU, 1




                                                                                           50
50



                     0



     -50
                              100
                                    150
                                                250
                                                      300
                                                            350
                                                                  400




                                          200
           2003.01
           2003.04
           2003.07
            2003.1
           2004.01
           2004.04
           2004.07
            2004.1
           2005.01
           2005.04
           2005.07
            2005.1
           2006.01
           2006.04
           2006.07
            2006.1
           2007.01
           2007.04
           2007.07
            2007.1
           2008.01
           2008.04
           2008.07
            2008.1
           2009.01
                                                                              Jun 2012 Omitted (3,365)




           2009.04
           2009.07
            2009.1
                                                                        Prospects by Year.Month From Jan 2003




           2010.01
           2010.04
           2010.07
            2010.1
           2011.01
           2011.04
           2011.07
            2011.1
           2012.01
           2012.04
           2012.07
            2012.1
51
50



               0
                              150
                                    200
                                          250
                                                300
                                                      350
                                                            400




                        100
     2009.01
     2009.02
     2009.03
     2009.04
     2009.05
     2009.06
     2009.07
     2009.08
     2009.09
      2009.1
     2009.11
     2009.12
     2010.01
     2010.02
     2010.03
     2010.04
     2010.05
     2010.06
     2010.07
     2010.08
     2010.09
      2010.1
     2010.11
     2010.12
     2011.01
     2011.02
     2011.03
     2011.04
     2011.05
                                                                        June 2012 Omitted (3,365)




     2011.06
     2011.07
     2011.08
                                                                  Prospects by Year.Month from Jan 2009




     2011.09
      2011.1
     2011.11
     2011.12
     2012.01
     2012.02
     2012.03
     2012.04
     2012.05
     2012.06
     2012.07
     2012.08
     2012.09
      2012.1
52
Prospects by Year.Month from Jan 2010
            June 2012 Omitted (3,365)
400




350




300




250




200




150




100




50



                                              53
Prospects by Year/Month*
                                    No pattern established
                                    *June 2012 omitted (3,365)
400




350




300




250


                                                                                         2010
200
                                                                                         2011
                                                                                         2012

150




100




50




 0
      Jan   Feb   Mar   Apr   May    Jun         Jul       Aug   Sep   Oct   Nov   Dec


                                                                                                54
20
                        40
                             60
                                  80




               0
                                       100
                                             120
                                                   140
     2006.02
     2006.04
     2006.06
     2006.08
      2006.1
     2006.12
     2007.02
     2007.04
     2007.06
     2007.08
      2007.1
     2007.12
     2008.02
     2008.04
     2008.06
     2008.08
      2008.1
     2008.12
     2009.02
     2009.04
     2009.06
     2009.08
      2009.1
     2009.12
     2010.02
     2010.04
                                                         Applications by Year/Month




     2010.06
     2010.08
      2010.1
     2010.12
     2011.02
     2011.04
     2011.06
     2011.08
      2011.1
     2011.12
     2012.02
     2012.04
     2012.06
     2012.08
      2012.1
55
Applications by Year/Month
                                    Ramp-Ups: Feb-Aug, Sep-Jan
140




120




100




                                                                                         2007
80
                                                                                         2008
                                                                                         2009
                                                                                         2010
60                                                                                       2011
                                                                                         2012


40




20




 0
      Jan   Feb   Mar   Apr   May      Jun      Jul      Aug     Sep   Oct   Nov   Dec


                                                                                                56
Sum of #                                                Stealth App by Matr Term

50


45


40


35


30


25


20


15


10


 5


 0
     1063     1064   1072   1073   1074   1082   1083   1084   1092   1093   1094   1102   1103   1104   1112   1113   1114   1122   1123   1124   1132
                                                                              1
Stealth App     Matr Term


                                                                                                                                                          57
Matriculation by Year/Month
100



90



80



70



60                                                                             2007
                                                                               2008

50                                                                             2009
                                                                               2010
                                                                               2011
40
                                                                               2012


30



20



10



 -
      Jan   Feb   Mar   Apr    May   Jun   Jul   Aug   Sep   Oct   Nov   Dec


                                                                                      58
PROSPECT SUBPLAN                   APPLICANT SUBPLAN                   MATRICULATED SUBPLAN
Pros Term    (Multiple Items)      App Term      (Multiple Items)      Matr Term    (Multiple Items)

Row Labels  Sum of #               Row Labels  Sum of #                Row Labels  Sum of #
UNDGBUS                     1342   UNDGBUS                      1341   UNDGBUS                      520
FINANCE                      965   FINANCE                       965   FINANCE                      333
GMKTG                        435   GMKTG                         435   GMKTG                        170
INBU                         398   INBU                          397   INBU                         135
MINS                         303   MINS                          302   HEALTH MGT                   125
ENTREP                       288   ENTREP                        287   ENTREP                       101
HEALTH MGT                   284   HEALTH MGT                    284   LEADERSHIP                    99
LEADERSHIP                   220   LEADERSHIP                    223   MINS                          94
HRMG                         219   HRMG                          219   MBA/PHARMD                    84
JMBAWEB                      149   JMBAWEB                       149   MBA/JD                        78
MBA/JD                       133   MBA/JD                        136   JMBAWEB                       67
MBA/PHARMD                   123   MBA/PHARMD                    123   MBA/MSNURS                    55
SPORTSMGMT                    95   SPORTSMGMT                     95   HRMG                          51
MBA/MSNURS                    82   MBA/MSNURS                     81   SPA                           50
BUSSEC                        64   BUSSEC                         64   SPORTSMGMT                    44
SPA                           52   SPA                            52   BUSSEC                        20
MSNUR@UMB                     23   MSNUR@UMB                      23   MSNUR@UMB                     15
SMGMT                         17   SMGMT                          17   SMGMT                          7
E-COMMERCE                    13   MBA/JD/UMB                     14   MBA/JD/UMB                     5
MBA/JD/UMB                    11   E-COMMERCE                     13   MBA/PHDNUR                     5
MBA/PHDNUR                    11   MBA/PHDNUR                     11   E-COMMERCE                     4
PSM                            1   PSM                             1   PSM                            1
Grand Total                 5228   Grand Total                  5232   Grand Total                 2063




                                                                                                       59
Months from Pros to App
                                                         Based on Pros Date & App Term
25




20




15




10




 5




 0
     1063   1064   1072   1073   1074   1082   1083    1084   1092   1093   1094   1102   1103   1104   1112   1113   1114   1122   1123   1124


                                                                                                                                                  60
Months from App to Matr
                                                        Based on App Date & Matr Term
1.8



1.6



1.4



1.2



 1



0.8



0.6



0.4



0.2



 0
      1063   1064   1072   1073   1074   1082   1083   1084   1092   1093   1094   1102   1103   1104   1112   1113   1114   1122   1123   1124


                                                                                                                                                  61
Months from Pros to Matr
                                                             Based on Matr Date & Term
18



16



14



12



10



 8



 6



 4



 2



 0
     1063   1064   1072   1073   1074   1082   1083   1084     1092   1093   1094   1102   1103   1104   1112   1113   1114   1122   1123   1124


                                                                                                                                                   62
PROS TO APP BY TERM
Pros Date       (Multiple Items)

Row Labels        Average of Pros to         Months
1063                                   230      7.65
1064                                   250      8.35
1072                                   315     10.49
1073                                   242      8.08
1074                                   232      7.74
1082                                   279      9.31
1083                                   310     10.34
1084                                   357     11.91
1092                                   387     12.92
1093                                   422     14.08
1094                                   323     10.75
1102                                   403     13.42
1103                                   241      8.02
1104                                   302     10.08
1112                                   312     10.40
1113                                   361     12.03
1114                                   320     10.67
1122                                   332     11.08
1123                                   635     21.16
1124                                   390     13.01

APP TO MATR BY TERM
App Date        (Multiple Items)

Row Labels        Average of App to          Months
1063                                   22       0.73
1064                                   48       1.58
1072                                   45       1.50
1073                                   31       1.03
1074                                   36       1.19
1082                                   38       1.26
1083                                   25       0.82
1084                                   28       0.92
1092                                   36       1.19
1093                                   33       1.09
1094                                   43       1.42
1102                                   25       0.85
1103                                   44       1.46
1104                                   36       1.20
1112                                   29       0.97
1113                                   23       0.75
1114                                   31       1.02
1122                                   39       1.29
1123                                   39       1.31
1124                                   38       1.27

PROS TO MATR BY TERM
Matr Date      (Multiple Items)

Row Labels        Average of Pros to         Months
1063                                   195      6.48
1064                                   305     10.15
1072                                   371     12.37
1073                                   280      9.34
1074                                   271      9.04
1082                                   335     11.15
1083                                   354     11.79
1084                                   411     13.72
1092                                   510     17.01
1093                                   283      9.43
1094                                   349     11.63
1102                                   436     14.55
1103                                   308     10.27
1104                                   390     12.99
1112                                   358     11.94
1113                                   505     16.84
1114                                   367     12.22
1122                                   476     15.88
1123                                   420     14.00
1124                                   458     15.26

                                                       63
Sum of #                                    Enrollment by Term / Online
800


                                                                                            748
700                                                                           721
                                                                       708


                                                         640
600


                                                                                                   554
                                                                                                                 535
500
                                                  502

                                    445
400
                             407
                                                                396                  396
                                                                                                                        377
                                           341
300
                                                                                                                                      298

                                                                                                          259                  261

200
               198
                      175

100    117



 0
       1064    1072   1073   1074   1082   1083   1084   1092   1093   1094   1102   1103   1104   1112   1113   1114   1122   1123   1124

Term       Section


                                                                                                                                             64
Sum of #                                 Enrollment by Term / Face-To-Face
1000



 900

                                                                                                                          866           862
                                                    840
 800
                                                           802           810

                                      751                                                            741
 700
                                                                                687                                675
                                                                                              669
 600

                               555
 500



 400

                 365
 300

           277

 200
                                                                                                            211                  203


 100                                         139
                         97                                        98
                                                                                        59
   0
       1064      1072   1073   1074   1082   1083   1084   1092   1093   1094   1102   1103   1104   1112   1113   1114   1122   1123   1124

Term   Section


                                                                                                                                               65
Term   Subject                 Enrollment by Term / Age / Delivery
Sum of #
                                              F2F   Online
900



800



700

                       382
600
                 305

500



400



300                                   149


                       447
200              410


                                      230
100
                                                     44       31

                                                     49       57
                                                                      7
                                                                      13       3
  0                                                                            6
             21-25     26-30          31-35         36-40    41-45   46-50   51-55

Age Range


                                                                                     66
50




                                                        0
                                                                 100
                                                                       150
                                                                             200
                                                                                   250
                                                                                                      Term




     Gender
                                                21-25                              Sum of #

                                                26-30
                                                31-35




                               Full
                                                36-40
                                                41-45
                                                21-25




     Full/Part Age Range
                                                26-30
                                                31-35




                               Part
                           F
                                                36-40
                                                41-45
                                                46-50
                                                21-25
                                                26-30
                                                31-35
                                                36-40




                               Less Than Half
                                                41-45
                                                46-50
                                                21-25
                                                26-30
                                                31-35




                               Full
                                                36-40
                                                41-45
                                                51-55
                                                21-25
                                                26-30
                                                                                              Enrollment by Term / Gender / Delivery




                                                31-35
                               Part
                           M


                                                36-40
                                                41-45
                                                46-50
                                                21-25
                                                26-30
                                                31-35
                                                36-40
                                                41-45
                               Less Than Half




                                                46-50
                                                51-55
67
Term                                                          Enrollment by Term / Delivery / Gender / Credits
Sum of #
 90


 80


 70


 60


 50


 40


 30


 20


 10


  0




                                                                                                                                                                                                                       31-35
       21-25

                 31-35

                         21-25

                                 31-35

                                           41-45

                                                   21-25

                                                           31-35

                                                                   21-25

                                                                           31-35
                                                                                   41-45

                                                                                           21-25

                                                                                                   31-35

                                                                                                           41-45

                                                                                                                   21-25

                                                                                                                           31-35

                                                                                                                                   51-55

                                                                                                                                           26-30

                                                                                                                                                   36-40

                                                                                                                                                           21-25

                                                                                                                                                                   31-35

                                                                                                                                                                               41-45

                                                                                                                                                                                       21-25

                                                                                                                                                                                               31-35

                                                                                                                                                                                                       41-45

                                                                                                                                                                                                               21-25



                                                                                                                                                                                                                               41-45

                                                                                                                                                                                                                                       26-30

                                                                                                                                                                                                                                               36-40

                                                                                                                                                                                                                                                       21-25

                                                                                                                                                                                                                                                               31-35

                                                                                                                                                                                                                                                                       46-50
               Full              Part              Less Than                Full                   Part              Less Than                Full                 Part                Less Than Half                  Full              Part          Less Than Half
                                                      Half                                                              Half
                                    F                                                              M                                                                       F                                                                   M
                                                                      F2F                                                                                                                              Online
F2F/Online Gender                        Full/Part         Age Range


                                                                                                                                                                                                                                                                               68
Sum of #                                                Enrollment by Term / Race

700


                             651
                                   639 643
600
                  593 601


500




400         422




300                                                            321

                                                                      270
                                                        243                       245
200                                                                         213

      161                                                                                              163
                                                  147                                                          149
                                                                                                                     131
100
                                                                                                  99                       91
                                                                                             79
                                             44                                         18                                      4   16   24    44     37   20   5
 0
      1064 1074 1084 1094 1104 1114 1124 1064 1074 1084 1094 1104 1114 1124 1064 1074 1084 1094 1104 1114 1124 1064 1074 1084 1094 1104 1114 1124
                     WHITE                                    BLACK                                    ASIAN                                  HISPA
ETHNIC_GRP_CD Term


                                                                                                                                                                    69
Term                                Enrollment by Ter / Delivery / MD / City
Sum of #                                                F2F     Online




6000



5000

            2424
4000



3000



2000
            3100

1000

                      272         199       168        141           186          90          131
                      334         276       236        214           185          177         159          94
                                                                                                          115         150
   0                                                                                                                   73
        Baltimore Owings Mills   Towson   Parkville   Bel Air     Ellicott City Cockeysville Columbia   Annapolis   Abingdon
                                                                MD
STATE      CITY




                                                                                                                               70
Term




                                                      50



                                                  0
                                                           100
                                                                 150
                                                                       200
                                                                             250
                                                                                   300
                                                                                          350
                                                                                         Sum of #
                                       UNDGBUS
                                        FINANCE
                                     HEALTH MGT




     F2F/Online Sub-Plan
                                         GMKTG
                                           INBU
                                    MBA/JD/UMB
                                         ENTREP
                                          MINS
                                     LEADERSHIP




                           F2F
                                    MSNUR@UMB
                                          HRMG
                                    MBA/PHARMD
                                        MBA/JD
                                        SMGMT
                                       JMBAWEB
                                         BUSSEC
                                            SPA
                                    SPORTSMGMT
                                       UNDGBUS
                                        FINANCE
                                     HEALTH MGT
                                         GMKTG
                                           INBU
                                    MBA/JD/UMB
                                         ENTREP
                                          MINS
                                                                                                    Enrollment by Term / Sub-Plan / Delivery




                                     LEADERSHIP
                                    MSNUR@UMB
                           Online




                                          HRMG
                                    MBA/PHARMD
                                        MBA/JD
                                        SMGMT
                                       JMBAWEB
                                         BUSSEC
                                            SPA
                                    SPORTSMGMT
                                    MBA/PHDNUR
71
UB/Towson Online Summary Report



UB/Towson Online Results - July 2012

Campaign Summary
Campaign Goal:
Increase inquiries for the UB/Towson MBA Studies Program

Campaign Flight Dates:
May 1, 2012 - July 31, 2012

Campaign Geotarget:
Maryland

Campaign Budget:
$88,959




The UB/Towson MBA campaign ended on July 31st and resulted in 410 leads and a cost/lead of $212. As a reminder, a lead is
considered any user who completes a form.

MGH reallocated Undertone's July budget to Quantcast as a response to Undertone's high CPL, and Business Week and
Monster.com ended on June 30th.

Although Monster.com, BusinessWeek and Undertone did not run in July, due to a 90 day cookie window, we are still able to
report on conversions/leads in July that were generated from banners running in previous months.


Leads by Source - Campaign Lifetime
Site Name                Month                  Leads                    Cost                    Cost/Lead
Google SEM               May                    30                       $2,517.89               $83.93
                         June                   26                       $2,784.46               $107.09
                         July                   48                       $6,750.47               $140.63
                         Google SEM Totals      104                      $12,052.82              $115.89
Business Week            May                    9                        $5,000.00               $555.56
                         June                   4                        $5,000.00               $1,250.00
                         July                   3                                                $0.00
                         Business Week Totals   16                       $10,000.00              $625.00
Monster                  May                    2                        $5,000.00               $2,500.00
                         June                   15                       $5,000.00               $333.33
                         July                   3                                                $0.00
                         Monster Totals         20                       $10,000.00              $500.00
Quantcast Network        May                    84                       $10,000.00              $119.05
                         June                   109                      $10,000.00              $91.74
                         July                   60                       $15,000.00              $250.00
                         Quantcast Totals       253                      $35,000.00              $138.34
Undertone Network        May                    5                        $10,000.00              $2,000.00
                         June                   5                        $10,000.00              $2,000.00
                         July                   7                                                $0.00
                         Undertone Totals       17                       $20,000.00              $1,176.47
Overall Totals                                  410                      $87,052.82              $212.32




                                                                                                                    72
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Agency rfp

  • 1. .
  • 2. Table of Contents Overview 1–2 Geographic Reference Information 3–5 Prospects: Top 10 MD Cities 42 Conversion Rates & Funnels 6 Applicants: Top 10 MD Cities 43 Prospect Questionairre 7–8 Matriculated: Top 10 MD Cities 44 Web Prospects: MD Counties 45 Web Visits 9 Applicants: MD Counties 46 Unique Visitors 10 Matriculated: MD Counties 47 Average Visit Duration 11 Applicants: US State 48 Bounce Rate 12 Applicants: Non-US Countries 49 Pages Per Visit 13 Matriculated: Non-US Countries 50 Pageviews 14 Enrollment Funnel Visits by Month 15 Prospects: Timeline 03–12 51 Unique Visits by Month 16 Prospects: Timeline 09–12 52 Average Visit Duration by Month 17 Prospects: Timeline 10–12 53 Bounce Rate by Month 18 Prospects: Year Over Year 54 Pages Per Visit by Month 19 Applicants: Timeline 06–12 55 Pageviews by Month 20 Applicants: Year Over Year 56 MBA Homepage Bio Demo 21 Stealth Applicants by Term 57 MBA Homepage Visitors by State 22 Matriculated Year Over Year 58 MBA Homepage Audience Profile 23 Subplan Sex Subplan by Status 59 Sex: Prospects 24 Conversion Intervals Sex: Applicants 25 Prospect to Applicant: Months 60 Sex: Matriculated 26 Applicant to Matriculated: Months 61 Sex: Enrolled 27 Prospect to Matriculated: Months 62 Race Conversion Intervals by Status/Term 63 Race: Prospects 28 Enrollment Race: Applicants 29 Term: Online 64 Race: Matriculated 30 Term: Face-To-Face 65 Race: Enrolled 31 Term/Age/Delivery (Fall 12) 66 Age Term/Gender/Delivery (Fall 12) 67 Age: Prospects 18–55 by Age 32 Term/Delivery /Gender/Credits (Fall 12) 68 Age: Prospects 18–55 by Term 33 Term/Race 69 Age: Applicants 18–55 by Age 34 Term/Delivery/MD/City (Fall 12) 70 Age: Applicants 18–55 by Term 35 Term/Sub-Plan/Delivery (Fall 12) 71 Age: Applicants by Year 36 Past Marketing Age: Matriculated 18–55 by Age 37 MGH Online Results July '12 72–75 Age: Matriculated 18–55 by Term 38 Tuition & Fees Comparison 76 Age: Matriculated by Year I 39 MGH Campaign Analysis: Web Traffic 77–78 Age: Matriculated by Year II 40 MGH Media Schedules Age: Enrolled to 55 41 Fiscal 2008–09 79 Fiscal 2009–10 80 Fiscal 2010–11 81 Summer 2012 82 Millennial Notes 83–86
  • 3. OVERVIEW Introduction University of Baltimore and Towson University began jointly offering the UB/Towson MBA degree program in 2006. Prospect volume has trended upward since; however applications and enrollments have been in decline since at least 2009. While the decline in applications and enrollments can be attributed to many factors, this request for proposal seeks to address marketing-centric factors, specifically branding, creative, media strategy and web presence. RFP recipients are asked to participate in a preliminary review meeting with the program team within one week of receiving this document. In addition, RFP Recipients are asked to respond within four weeks with an in-person presentation to the program team at a mutually convenient date, time and location. Extensive data is summarized and attached to provide a strategic foundation for presentation preparation. An open and ongoing dialog throughout the four-week preparation process is encouraged, and the point of contact for all questions is listed below. A decision will be rendered by the program team within two weeks of the final presentation. Point of Contact Jesse Trahan Director of Graduate Marketing Towson University 410-704-2025 jtrahan@towson.edu 1
  • 4. Branding Issue: The program’s current designation as “UB/Towson MBA” (or any variant incarnations) is bland and uninspired. Alumni who participated in MBA redesign focus groups related issues with placing it on their resumes including out-of- state employers asking “What is the ub tow son MBA?” Visually, the juxtaposition of our two university logos next to the name is awkward and needs to be treated in such a way as to double the program’s effectiveness and enhance its brand equity. Objective: A standalone identity (name and mark) for the program with caché and gravitas that combines both University names and strongly references the program’s contemporary nature and dual Baltimore locations. For example: The Baltimore MBA University of Baltimore / Towson University Requested: 1–3 program names and accompanying marks, at least one of which should be a combination of UB’s “sliced quad” and TU’s “banners” Creative Issue: Historically, messaging and visuals have been driven by short-term goals (increasing enrollment in the next 1–2 terms) and thus have lacked continuity. Messaging, tone, and visuals were produced with little audience insight from the universities. Objective: Develop a multi-year evolutionary campaign that communicates the program’s most prominent strengths and differentiators using language and imagery that is customized to our audience(s) as defined in the accompanying overview and detailed analysis. Requested: 1-3 campaign concepts with accompanying radio script, print advertisement and banner advertisement samples Media Issue: Historically, media strategy has been driven by short-term (upcoming 1-2 terms) goals and as such has lacked continuity and university-provided target audience insight. Past media plans may be referenced on pages XXX-XXX. Objective: Develop an annual media strategy that is customized to our audience(s) as detailed in the Data Summary below. Provide detailed ROI reporting including recommendations for optimization, experimentation and new opportunities, on a monthly basis with the option to review formally via conference call or meeting. Requested: Media strategy and schedule for the remainder of this fiscal year ($94,000) and the upcoming fiscal year ($130,000) Web Presence Issue: The web site has not been refreshed for two years. Objective: Develop a new web site that is customized to our audience(s) as detailed in the Data Summary below and representative of the branding and creative outlined above. Requested: 1–3 home page treatments, an outline of your web (re)design process, and relevant examples of finished products 2
  • 5. REFERENCE INFORMATION Online & On-Campus Students can complete the entire degree online, but only with a general specialization because not all specialization elective courses are offered online. Students may take all fundamental and core courses at either university. However, these courses switch between semesters. For example, UB will offer MGMT 600 in the fall and Towson will offer it in the spring. A student could conceivably take all the core and fundamental courses on one campus. An elective course is usually offered at the campus that has a teaching proficiency in it. It is doubtful a student could finish their elective at one on-campus location. SWOT Analysis STRENGTHS OPPORTUNITIES AACSB Accredited Increase in 18–24 segment Less expensive than Johns Hopkins and Increase in face-to-face students UMCP Competitively priced with Loyola Alumni success Racially diverse student body Employer affinity 2 campuses Upcoming curriculum redesign Any combination of face-to-face, part-time, Cost positioning against Loyola, Johns online, full-time Hopkins and UMCP Strong Baltimore City/County-sourced Brand positioning against UMUC, Frostburg student body and Mt. Saint Mary’s More brand equity than UMUC, Frostburg and Mt. Saint Mary’s WEAKNESSES THREATS Inconsistent marketing Contracting enrollment funnel Similar in cost to Loyola Dual university confusion, apprehension Many specializations unavailable online Decrease in online students Weak presence outside of MD Lack of out-of-state recognition More expensive than UMUC, Frostburg and Lengthening prospect-to-applicant Mt. Saint Mary's timelines Less brand equity than Loyola, Johns Frostburg's accreditation, online option, Hopkins and UMCP aggressive marketing Decrease in stealth applications Decrease in 30–34 segment 3
  • 6. Data Summary Sex: Applicants (26)  Males prefer part-time (strongest overall segment) both online and face-to-face (69)  Females prefer part-time overall, but full time when face-to-face (69) Feb 2006–Oct 2012: Oct 2011–Oct 2012: 52% Male, 46% Female 54% Male, 45% Female Race: Applicants (30)  Whites have been steadily increasing, with a decline in 2009  Blacks, Asians and Hispanics peaked in 2009 and have been declining since  Blacks had a strong resurgence in Fall 2012 (perhaps an anomaly) Feb 2006–Oct 2012: Oct 2011–Oct 2012: 41% White 49% White 27% Black 30% Black 18% Blank 11% Blank 13% Asian 10% Asian Age: Applicants (35-37) Feb 2006–Oct 2012: Oct 2011–Oct 2012: 10% 18–24 27% 18–24 39% 25–29 39% 25–29 26% 30–34 16% 30–34 12% 35–39 8% 35–39 6% 40–44 5% 40–44 3% 45–49 2% 45–49 2% 50–55 2% 50–55 Top 10 Maryland Cities (43-45) Feb 2006–Oct 2012: Oct 2011–Oct 2012: 1. Baltimore 1. Baltimore 2. Owings Mills 2. Towson 3. Towson 3. Owings Mills 4. Bel Air 4. Bel Air 5. Parkville 5. Cockeysville 6. Columbia 6. Columbia 7. Ellicott City 7. Annapolis 8. Cockeysville 8. Parkville 9. Abingdon 9. Ellicott City 10. Annapolis 10. Abingdon 4
  • 7. Top 8 Maryland Counties (46-48) Feb 2006–Oct 2012: Oct 2011–Oct 2012: 1. Baltimore City 1. Baltimore City 2. Baltimore 2. Baltimore 3. Anne Arundel 3. Anne Arundel 4. Harford 4. Prince George’s 5. Howard 5. Harford 6. Prince George’s 6. Montgomery 7. Montgomery 7. Howard 8. Carroll 8. Carroll Application Volume & Patterns (56-57)  Due to deadlines, applications in the program ramp up Feb, peaking in Aug and ramp up Sep, peaking in Jan (57) Delivery Mode (65-69)  Face-to-face enrollment is greater than online enrollment by an approximate ratio of 5–4 (67)  Online enrollment ramped up to a 2010 peak, and has declined since (65)  Face-to-face enrollment ramped up to 2008, declined 2009-2010, and ramped back up 2011-12 (opposite of online) (66) Distance--Top Maryland Cities (43-45, 71)  Distance does not appear to be a delivery method factor Approximate Ratio City Face-To-Face Online Baltimore 5 4 Owings Mills 8 7 Towson 7 5 Parkville 4 3 Bel Air 3 2 Ellicott City 1 1 Cockeysville 2 1 Columbia 8 7 Annapolis 1 1 Abingdon 1 2 Sub-Plans by Delivery (60, 67-69, 72)  Top 3 specializations, after “general,” are finance, marketing, and health management  Finance is more popular face-to-face 2–1  Marketing is more popular face-to-face 3–2  Health management is more popular face-to-face 2–1 5
  • 8. UB/Towson University MBA Enrollment Funnels Term Prosps PApps CApps Admits Accepts Enrolls Denies Term Prosps PApps CApps Admits Accepts Enrolls Denies FA09 986 423 271 236 182 156 35 SP09 630 265 182 162 115 110 20 FA10 810 393 253 214 160 145 39 SP10 604 211 128 112 95 88 16 FA11 1317 414 221 183 127 121 38 SP11 752 231 141 122 84 78 19 FA12 1873 397 210 161 125 104 49 SP12 718 250 140 117 90 85 23 Term Prosps PApps CApps Admits Accepts Enrolls Denies Term Prosps PApps CApps Admits Accepts Enrolls Denies FA09 100% 43% 64% 87% 77% 86% 13% SP09 100% 42% 69% 89% 71% 96% 11% FA10 100% 49% 64% 85% 75% 91% 15% SP10 100% 35% 61% 88% 85% 93% 13% FA11 100% 31% 53% 83% 69% 95% 17% SP11 100% 31% 61% 87% 69% 93% 13% FA12 100% 21% 53% 77% 78% 83% 23% SP12 100% 35% 56% 84% 77% 94% 16% FA09 Funnel SP09 Funnel Prosps Prosps CApps CApps Accepts Accepts FA10 Funnel SP10 Funnel Prosps Prosps CApps CApps Accepts Accepts FA11 Funnel SP11 Funnel Prosps Prosps CApps CApps Accepts Accepts FA12 Funnel SP12 Funnel Prosps Prosps CApps CApps Accepts Accepts Denies Funnel Denies Funnel FA09 SP09 FA10 SP10 FA11 SP11 FA12 SP12 6
  • 9. Online Question to Prospects (Info Request Form) What are the three most important factors to you in selecting an MBA program? (please select only three) Choices AACSB Accreditation Career Services Cost Number of Specializations Available Online and On-Campus Learning Reputation / Ranking 291 Population 261 Sample Size 99% Confidence Level 3% Confidence Interval Votes Feature Percentage* 183 Cost 70% 140 AACSB Accreditation 54% 135 Online / On-Campus 52% 101 Career Services 39% 101 # Specializations 39% 84 Reputation / Ranking 32% *Based on the population and sample size we can say with 99% confidence that the response percentages are accurate within 3% 7
  • 10. MBA Selection Most Important Factors *Based on the population and sample size we can say with 99% confidence that the response percentages are accurate within 3% 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Cost AACSB Accreditation Online / On-Campus Career Services # Specializations Reputation / Ranking 8
  • 11. - 10,000 12,000 14,000 2,000 6,000 4,000 8,000 2008.07 2008.08 2008.09 2008.10 2008.11 2008.12 2009.01 2009.02 2009.03 2009.04 2009.05 2009.06 2009.07 2009.08 2009.09 2009.10 2009.11 2009.12 2010.01 2010.02 2010.03 2010.04 2010.05 2010.06 2010.07 2010.08 Visits 2010.09 2010.10 2010.11 2010.12 2011.01 2011.02 2011.03 2011.04 2011.05 2011.06 2011.07 2011.08 2011.09 2011.10 2011.11 2011.12 2012.01 2012.02 2012.03 2012.04 2012.05 2012.06 2012.07 2012.08 2012.09 2012.10 9
  • 14. 0% 10% 20% 30% 40% 50% 60% 70% 2008.07 2008.08 2008.09 2008.10 2008.11 2008.12 2009.01 2009.02 2009.03 2009.04 2009.05 2009.06 2009.07 2009.08 2009.09 2009.10 2009.11 2009.12 2010.01 2010.02 2010.03 2010.04 2010.05 2010.06 2010.07 2010.08 2010.09 2010.10 Bounce Rate 2010.11 2010.12 2011.01 2011.02 2011.03 2011.04 2011.05 2011.06 2011.07 2011.08 2011.09 2011.10 2011.11 2011.12 2012.01 2012.02 2012.03 2012.04 2012.05 2012.06 2012.07 2012.08 2012.09 2012.10 12
  • 16. - 10,000 15,000 25,000 30,000 35,000 40,000 45,000 50,000 20,000 5,000 2008.07 2008.08 2008.09 2008.10 2008.11 2008.12 2009.01 2009.02 2009.03 2009.04 2009.05 2009.06 2009.07 2009.08 2009.09 2009.10 2009.11 2009.12 2010.01 2010.02 2010.03 2010.04 2010.05 2010.06 2010.07 2010.08 2010.09 Pageviews 2010.10 2010.11 2010.12 2011.01 2011.02 2011.03 2011.04 2011.05 2011.06 2011.07 2011.08 2011.09 2011.10 2011.11 2011.12 2012.01 2012.02 2012.03 2012.04 2012.05 2012.06 2012.07 2012.08 2012.09 2012.10 14
  • 17. Visits by Month 2009 2010 2011 2012 13,000 12,000 11,000 10,000 9,000 8,000 7,000 6,000 5,000 4,000 3,000 2,000 1,000 - Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 15
  • 18. Unique Visits by Month 2009 2010 2011 2012 9,000 8,000 7,000 6,000 5,000 4,000 3,000 2,000 1,000 - Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 16
  • 19. Average Visit Duration by Month 2009 2010 2011 2012 0:04:19 0:03:36 0:02:53 0:02:10 0:01:26 0:00:43 0:00:00 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 17
  • 20. Bounce Rate by Month 2009 2010 2011 2012 70% 60% 50% 40% 30% 20% 10% 0% Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 18
  • 21. Pages Per Visit by Month 2009 2010 2011 2012 6.00 5.00 4.00 3.00 2.00 1.00 - Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 19
  • 22. Pageviews by Month 2009 2010 2011 2012 50,000 45,000 40,000 35,000 30,000 25,000 20,000 15,000 10,000 5,000 - Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 20
  • 23. MBA Homepage as of Nov 30, 2012 Demographic Attribute Composition Index Siteographics Similar Audience Gender - Male 49.9% 102 Categories of sites that Websites within our Quantified Gender - Female 50.1% 97 your visitors view online Publisher program that your visitors Age - 18-24 18.2% 138 Age - 25-34 23.0% 111 also view Age - 35-44 24.9% 91 Category Affinity Site Site Reach Affinity Age - 45-54 20.7% 92 politics & commentary 2.12 wbal.com 246,621 193.06 Age - 55-64 9.4% 85 science/nature 1.82 wbaltv.com 565,312 174.69 Age - 65+ 3.7% 65 fantasy sports 1.76 foxbaltimore.com 170,729 126.77 Head of HH Education - No College 34.3% 76 regional/local news 1.62 abc2news.com 405,682 114.40 Head of HH Education - College 46.5% 114 fashion/cosmetics 1.53 hot995.com 130,003 99.89 Head of HH Education - Grad. School 19.2% 133 career resources 1.50 studentsreview.com 243,190 73.74 Ethnicity - Cauc. 73.2% 96 science & technology 1.48 search.usnews.com 141,737 61.08 Ethnicity - Afr. Am. 11.8% 129 technology 1.48 gazette.net 229,320 53.93 Ethnicity - Asian 6.0% 140 nonprofit 1.44 insidelacrosse.com 103,930 47.60 Ethnicity - Hisp. 7.6% 80 online trading 1.44 fredericknewspost.com 238,299 44.11 Ethnicity - Other 1.5% 104 business news & info 1.42 usnews.rankingsandreviews.com 3,592,656 35.56 HH Income - $0-50k 47.8% 94 reference 1.42 emory.edu 128,706 33.63 HH Income - $50-$100k 28.9% 99 commerce - food 1.42 nbcwashington.com 751,458 29.37 HH Income - $100-$150k 13.1% 108 news 1.40 ethiopianairlines.com 141,104 26.29 HH Income - $150k+ 10.2% 121 news/information 1.39 brainmass.com 629,779 26.28 Affinity represents comparison to average internet site (1 = average) © 2011 Quantcast Corporation. All Rights Reserved. Confidential. Index represents comparison to US internet audience (100 = average). Data is representative of unique cookies. 21
  • 24. Where are MBA Customers? • 50% of the converting audience is located in Maryland. • Maryland, District of Columbia, and Delaware have the highest index for making a purchase. • Quantcast’s campaign optimization dynamically adjusts to find users within locations of high concentration. © 2011 Quantcast Corporation. All Rights Reserved. Confidential. 22
  • 25. MBA– Homepage Audience Profile Audience Is: Audience Is Not: Female Male Age 25-44 Age 65+ Caucasian and Asian Hispanic HHI $0-50k HHI $100-150k Audience is Interested in: Audience is not Interested in: Politics & Commentary Kids Science/Nature Computer Software Fantasy Sports Games-Online Play Regional/Local News Teen Communities Audience is Strong in : Audience is not strong in: Maryland Missouri District of Columbia Wisconsin Delaware Arizona © 2011 Quantcast Corporation. All Rights Reserved. Confidential. 23
  • 26. Pros Yr.Mo Sex: Prospects Sum of # F 6% M 6% (blank) 88% 24
  • 27. App Yr.Mo Sex: Applicants Sum of # (blank) 1% F 45% M 54% 25
  • 28. Matr Yr.Mo Sex: Matriculated Sum of # (blank) 1% F 43% M 56% 26
  • 29. Matr Term Enr Sex: Enrolled Sum of # (blank) 1% F 42% M 57% 27
  • 30. Pros Yr.Mo Race: Prospects Sum of # ASIAN HISPA 1% 0% BLACK 3% WHITE 5% (blank) 91% 28
  • 31. App Yr.Mo Race: Applicants Sum of # (blank) ASIAN 11% 10% BLACK 30% WHITE 49% HISPA 0% 29
  • 32. Matr Yr.Mo Race: Matriculated Sum of # ASIAN 8% (blank) 7% BLACK 21% HISPA 0% WHITE 63% 30
  • 33. Matr Term Enr Race: Enrolled Sum of # ASIAN 7% (blank) 7% BLACK 19% HISPA 0% WHITE 66% 31
  • 34. Pros Yr.Mo Age: Prospects 18-55 Sum of # Core Range: 22–26 120 114 100 100 96 93 92 80 60 60 52 50 44 44 41 40 36 25 24 21 22 23 19 19 20 17 17 17 14 14 15 15 14 12 11 11 12 11 8 8 6 4 3 4 0 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 Age 32
  • 35. Sum of # Age by Term: Prospects 18-55 Prospects Skewing Younger Over Time 140 120 100 80 Pros Term 1104 1114 60 1124 40 20 0 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 Age 33
  • 36. App Yr.Mo Age: Applicants 18-55 Sum of # Core Range 23–26 90 84 80 70 68 65 60 51 50 43 39 40 31 31 30 30 27 26 20 20 16 14 13 9 8 9 10 7 7 7 7 6 6 6 5 3 4 4 4 1 2 1 2 1 2 1 0 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 Age 34
  • 37. Sum of # Age: Applicants 18-55 Core Range 26-30 70 App Term 1104 1114 1124 60 50 40 30 20 10 0 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 Age 35
  • 38. Age: Applicants <25 25-29 30+ 100% 90% 37% 36% 80% 43% 50% 70% 58% 60% 50% 36% 41% 40% 45% 30% 47% 20% 41% 28% 10% 22% 11% 1% 3% 0% 2008 2009 2010 2011 2012 36
  • 39. Matr Yr.Mo Age: Matriculated 18-55 Sum of # Core Range: 23–26 70 66 60 55 50 43 40 35 34 33 30 30 30 23 20 19 14 14 13 13 12 10 9 7 6 6 6 5 5 5 4 4 3 3 3 3 2 2 1 1 1 0 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 51 52 53 54 Age 37
  • 40. Sum of # Age: Matriculated 18-55 Core Range: 27-30 30 Matr Term 1104 1114 1124 25 20 15 10 5 0 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 50 51 52 53 54 55 56 Age 38
  • 41. Matr Mo Age: Matriculated Sum of # Matr Yr 2008 2009 2010 2011 2012 50 45 40 35 30 25 20 15 10 5 0 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 63 70 Age 39
  • 42. Age: Matriculated <25 25-29 30+ 100% 90% 37% 36% 80% 51% 50% 70% 59% 60% 50% 35% 42% 40% 30% 42% 48% 20% 41% 29% 10% 21% 9% 0% 1% 2008 2009 2010 2011 2012 40
  • 43. Matr Term Age to 55: Enrolled Sum of # Skewing younger in later terms Core Range: 24–26 45 40 35 30 25 20 15 10 5 0 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 44 45 47 48 49 51 52 53 54 Y Enr Age 41
  • 44. Pros Yr.Mo Top Ten MD Cities: Prospects Sum of # MD Silver Spring MD Towson MD Columbia MD Ellicott City MD Owings Mills MD Cockeysville MD Bel Air MD Laurel MD Baltimore MD Parkville 42
  • 45. App Yr.Mo Top 10 MD Cities: Applicants Sum of # 46% All; 57% MD Baltimore 28% All; 36% MD MD Towson MD Owings Mills MD Bel Air MD Cockeysvill e MD Columbia MD Annapolis MD Parkville MD Ellicott City MD Abingdon MD Baltimore 43
  • 46. Matr Yr.Mo Top 10 MD Cities: Matriculated Sum of # 50% All; 58% MD Baltimore 31% All; 36% MD MD Towson MD Cockeysvill e MD Bel Air MD Columbia MD Parkville MD Annapolis MD Ellicott City MD Baltimore MD Owings Mills MD Abingdon 44
  • 47. Pros Yr.Mo MD Counties: Prospects Sum of # 60% of MD prospects reside in Baltimore/Baltimore City MD Anne Arundel 7% MD Prince MD Montgomery George’s 9% 6% MD Howard 6% MD Harford 6% MD Baltimore 17% MD Carroll 3% MD Baltimore City 41% 45
  • 48. App Yr.Mo MD Counties: Applicants Sum of # 61% of MD applicants reside in Baltimore/Baltimore City MD Anne Arundel 11% MD Prince George’s 8% MD Harford 7% MD Baltimore MD Montgomery 23% 7% MD Howard 6% MD Carroll 3% MD Baltimore City 33% 46
  • 49. Matr Yr.Mo MD Counties: Matriculated Sum of # 61% of MD matriculated reside in Baltimore/Baltimore City MD Howard MD Anne Arundel 8% 11% MD Montgomery 7% MD Harford 6% MD Baltimore 21% MD Prince George’s 6% MD Carroll 2% MD Baltimore City 37% 47
  • 50. App Term Applicants: US State Sum of # USA PA 7% USA VA USA NY 5% 3% USA NJ 3% USA CA 2% USA DC 2% USA FL 1% USA TX 1% USA NC 1% USA MD 75% 48
  • 51. App Yr.Mo Non-US Countries: Applications Sum of # SAU, 27 CHN, 14 NGA, 46 CMR, 12 GBR, 11 PAK, 10 CAN, 7 KEN, 6 GHA, 5 IND, 69 49
  • 52. Matr Yr.Mo Non-US Countries: Matriculated Sum of # NGA, 2 CAN, 1 SWE, 1 TUR, 2 IRN, 1 KOR, 1 CHN, 1 THA, 3 BMU, 1 ZMB, 1 NPL, 1 IND, 4 SAU, 1 50
  • 53. 50 0 -50 100 150 250 300 350 400 200 2003.01 2003.04 2003.07 2003.1 2004.01 2004.04 2004.07 2004.1 2005.01 2005.04 2005.07 2005.1 2006.01 2006.04 2006.07 2006.1 2007.01 2007.04 2007.07 2007.1 2008.01 2008.04 2008.07 2008.1 2009.01 Jun 2012 Omitted (3,365) 2009.04 2009.07 2009.1 Prospects by Year.Month From Jan 2003 2010.01 2010.04 2010.07 2010.1 2011.01 2011.04 2011.07 2011.1 2012.01 2012.04 2012.07 2012.1 51
  • 54. 50 0 150 200 250 300 350 400 100 2009.01 2009.02 2009.03 2009.04 2009.05 2009.06 2009.07 2009.08 2009.09 2009.1 2009.11 2009.12 2010.01 2010.02 2010.03 2010.04 2010.05 2010.06 2010.07 2010.08 2010.09 2010.1 2010.11 2010.12 2011.01 2011.02 2011.03 2011.04 2011.05 June 2012 Omitted (3,365) 2011.06 2011.07 2011.08 Prospects by Year.Month from Jan 2009 2011.09 2011.1 2011.11 2011.12 2012.01 2012.02 2012.03 2012.04 2012.05 2012.06 2012.07 2012.08 2012.09 2012.1 52
  • 55. Prospects by Year.Month from Jan 2010 June 2012 Omitted (3,365) 400 350 300 250 200 150 100 50 53
  • 56. Prospects by Year/Month* No pattern established *June 2012 omitted (3,365) 400 350 300 250 2010 200 2011 2012 150 100 50 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 54
  • 57. 20 40 60 80 0 100 120 140 2006.02 2006.04 2006.06 2006.08 2006.1 2006.12 2007.02 2007.04 2007.06 2007.08 2007.1 2007.12 2008.02 2008.04 2008.06 2008.08 2008.1 2008.12 2009.02 2009.04 2009.06 2009.08 2009.1 2009.12 2010.02 2010.04 Applications by Year/Month 2010.06 2010.08 2010.1 2010.12 2011.02 2011.04 2011.06 2011.08 2011.1 2011.12 2012.02 2012.04 2012.06 2012.08 2012.1 55
  • 58. Applications by Year/Month Ramp-Ups: Feb-Aug, Sep-Jan 140 120 100 2007 80 2008 2009 2010 60 2011 2012 40 20 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 56
  • 59. Sum of # Stealth App by Matr Term 50 45 40 35 30 25 20 15 10 5 0 1063 1064 1072 1073 1074 1082 1083 1084 1092 1093 1094 1102 1103 1104 1112 1113 1114 1122 1123 1124 1132 1 Stealth App Matr Term 57
  • 60. Matriculation by Year/Month 100 90 80 70 60 2007 2008 50 2009 2010 2011 40 2012 30 20 10 - Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 58
  • 61. PROSPECT SUBPLAN APPLICANT SUBPLAN MATRICULATED SUBPLAN Pros Term (Multiple Items) App Term (Multiple Items) Matr Term (Multiple Items) Row Labels Sum of # Row Labels Sum of # Row Labels Sum of # UNDGBUS 1342 UNDGBUS 1341 UNDGBUS 520 FINANCE 965 FINANCE 965 FINANCE 333 GMKTG 435 GMKTG 435 GMKTG 170 INBU 398 INBU 397 INBU 135 MINS 303 MINS 302 HEALTH MGT 125 ENTREP 288 ENTREP 287 ENTREP 101 HEALTH MGT 284 HEALTH MGT 284 LEADERSHIP 99 LEADERSHIP 220 LEADERSHIP 223 MINS 94 HRMG 219 HRMG 219 MBA/PHARMD 84 JMBAWEB 149 JMBAWEB 149 MBA/JD 78 MBA/JD 133 MBA/JD 136 JMBAWEB 67 MBA/PHARMD 123 MBA/PHARMD 123 MBA/MSNURS 55 SPORTSMGMT 95 SPORTSMGMT 95 HRMG 51 MBA/MSNURS 82 MBA/MSNURS 81 SPA 50 BUSSEC 64 BUSSEC 64 SPORTSMGMT 44 SPA 52 SPA 52 BUSSEC 20 MSNUR@UMB 23 MSNUR@UMB 23 MSNUR@UMB 15 SMGMT 17 SMGMT 17 SMGMT 7 E-COMMERCE 13 MBA/JD/UMB 14 MBA/JD/UMB 5 MBA/JD/UMB 11 E-COMMERCE 13 MBA/PHDNUR 5 MBA/PHDNUR 11 MBA/PHDNUR 11 E-COMMERCE 4 PSM 1 PSM 1 PSM 1 Grand Total 5228 Grand Total 5232 Grand Total 2063 59
  • 62. Months from Pros to App Based on Pros Date & App Term 25 20 15 10 5 0 1063 1064 1072 1073 1074 1082 1083 1084 1092 1093 1094 1102 1103 1104 1112 1113 1114 1122 1123 1124 60
  • 63. Months from App to Matr Based on App Date & Matr Term 1.8 1.6 1.4 1.2 1 0.8 0.6 0.4 0.2 0 1063 1064 1072 1073 1074 1082 1083 1084 1092 1093 1094 1102 1103 1104 1112 1113 1114 1122 1123 1124 61
  • 64. Months from Pros to Matr Based on Matr Date & Term 18 16 14 12 10 8 6 4 2 0 1063 1064 1072 1073 1074 1082 1083 1084 1092 1093 1094 1102 1103 1104 1112 1113 1114 1122 1123 1124 62
  • 65. PROS TO APP BY TERM Pros Date (Multiple Items) Row Labels Average of Pros to Months 1063 230 7.65 1064 250 8.35 1072 315 10.49 1073 242 8.08 1074 232 7.74 1082 279 9.31 1083 310 10.34 1084 357 11.91 1092 387 12.92 1093 422 14.08 1094 323 10.75 1102 403 13.42 1103 241 8.02 1104 302 10.08 1112 312 10.40 1113 361 12.03 1114 320 10.67 1122 332 11.08 1123 635 21.16 1124 390 13.01 APP TO MATR BY TERM App Date (Multiple Items) Row Labels Average of App to Months 1063 22 0.73 1064 48 1.58 1072 45 1.50 1073 31 1.03 1074 36 1.19 1082 38 1.26 1083 25 0.82 1084 28 0.92 1092 36 1.19 1093 33 1.09 1094 43 1.42 1102 25 0.85 1103 44 1.46 1104 36 1.20 1112 29 0.97 1113 23 0.75 1114 31 1.02 1122 39 1.29 1123 39 1.31 1124 38 1.27 PROS TO MATR BY TERM Matr Date (Multiple Items) Row Labels Average of Pros to Months 1063 195 6.48 1064 305 10.15 1072 371 12.37 1073 280 9.34 1074 271 9.04 1082 335 11.15 1083 354 11.79 1084 411 13.72 1092 510 17.01 1093 283 9.43 1094 349 11.63 1102 436 14.55 1103 308 10.27 1104 390 12.99 1112 358 11.94 1113 505 16.84 1114 367 12.22 1122 476 15.88 1123 420 14.00 1124 458 15.26 63
  • 66. Sum of # Enrollment by Term / Online 800 748 700 721 708 640 600 554 535 500 502 445 400 407 396 396 377 341 300 298 259 261 200 198 175 100 117 0 1064 1072 1073 1074 1082 1083 1084 1092 1093 1094 1102 1103 1104 1112 1113 1114 1122 1123 1124 Term Section 64
  • 67. Sum of # Enrollment by Term / Face-To-Face 1000 900 866 862 840 800 802 810 751 741 700 687 675 669 600 555 500 400 365 300 277 200 211 203 100 139 97 98 59 0 1064 1072 1073 1074 1082 1083 1084 1092 1093 1094 1102 1103 1104 1112 1113 1114 1122 1123 1124 Term Section 65
  • 68. Term Subject Enrollment by Term / Age / Delivery Sum of # F2F Online 900 800 700 382 600 305 500 400 300 149 447 200 410 230 100 44 31 49 57 7 13 3 0 6 21-25 26-30 31-35 36-40 41-45 46-50 51-55 Age Range 66
  • 69. 50 0 100 150 200 250 Term Gender 21-25 Sum of # 26-30 31-35 Full 36-40 41-45 21-25 Full/Part Age Range 26-30 31-35 Part F 36-40 41-45 46-50 21-25 26-30 31-35 36-40 Less Than Half 41-45 46-50 21-25 26-30 31-35 Full 36-40 41-45 51-55 21-25 26-30 Enrollment by Term / Gender / Delivery 31-35 Part M 36-40 41-45 46-50 21-25 26-30 31-35 36-40 41-45 Less Than Half 46-50 51-55 67
  • 70. Term Enrollment by Term / Delivery / Gender / Credits Sum of # 90 80 70 60 50 40 30 20 10 0 31-35 21-25 31-35 21-25 31-35 41-45 21-25 31-35 21-25 31-35 41-45 21-25 31-35 41-45 21-25 31-35 51-55 26-30 36-40 21-25 31-35 41-45 21-25 31-35 41-45 21-25 41-45 26-30 36-40 21-25 31-35 46-50 Full Part Less Than Full Part Less Than Full Part Less Than Half Full Part Less Than Half Half Half F M F M F2F Online F2F/Online Gender Full/Part Age Range 68
  • 71. Sum of # Enrollment by Term / Race 700 651 639 643 600 593 601 500 400 422 300 321 270 243 245 200 213 161 163 147 149 131 100 99 91 79 44 18 4 16 24 44 37 20 5 0 1064 1074 1084 1094 1104 1114 1124 1064 1074 1084 1094 1104 1114 1124 1064 1074 1084 1094 1104 1114 1124 1064 1074 1084 1094 1104 1114 1124 WHITE BLACK ASIAN HISPA ETHNIC_GRP_CD Term 69
  • 72. Term Enrollment by Ter / Delivery / MD / City Sum of # F2F Online 6000 5000 2424 4000 3000 2000 3100 1000 272 199 168 141 186 90 131 334 276 236 214 185 177 159 94 115 150 0 73 Baltimore Owings Mills Towson Parkville Bel Air Ellicott City Cockeysville Columbia Annapolis Abingdon MD STATE CITY 70
  • 73. Term 50 0 100 150 200 250 300 350 Sum of # UNDGBUS FINANCE HEALTH MGT F2F/Online Sub-Plan GMKTG INBU MBA/JD/UMB ENTREP MINS LEADERSHIP F2F MSNUR@UMB HRMG MBA/PHARMD MBA/JD SMGMT JMBAWEB BUSSEC SPA SPORTSMGMT UNDGBUS FINANCE HEALTH MGT GMKTG INBU MBA/JD/UMB ENTREP MINS Enrollment by Term / Sub-Plan / Delivery LEADERSHIP MSNUR@UMB Online HRMG MBA/PHARMD MBA/JD SMGMT JMBAWEB BUSSEC SPA SPORTSMGMT MBA/PHDNUR 71
  • 74. UB/Towson Online Summary Report UB/Towson Online Results - July 2012 Campaign Summary Campaign Goal: Increase inquiries for the UB/Towson MBA Studies Program Campaign Flight Dates: May 1, 2012 - July 31, 2012 Campaign Geotarget: Maryland Campaign Budget: $88,959 The UB/Towson MBA campaign ended on July 31st and resulted in 410 leads and a cost/lead of $212. As a reminder, a lead is considered any user who completes a form. MGH reallocated Undertone's July budget to Quantcast as a response to Undertone's high CPL, and Business Week and Monster.com ended on June 30th. Although Monster.com, BusinessWeek and Undertone did not run in July, due to a 90 day cookie window, we are still able to report on conversions/leads in July that were generated from banners running in previous months. Leads by Source - Campaign Lifetime Site Name Month Leads Cost Cost/Lead Google SEM May 30 $2,517.89 $83.93 June 26 $2,784.46 $107.09 July 48 $6,750.47 $140.63 Google SEM Totals 104 $12,052.82 $115.89 Business Week May 9 $5,000.00 $555.56 June 4 $5,000.00 $1,250.00 July 3 $0.00 Business Week Totals 16 $10,000.00 $625.00 Monster May 2 $5,000.00 $2,500.00 June 15 $5,000.00 $333.33 July 3 $0.00 Monster Totals 20 $10,000.00 $500.00 Quantcast Network May 84 $10,000.00 $119.05 June 109 $10,000.00 $91.74 July 60 $15,000.00 $250.00 Quantcast Totals 253 $35,000.00 $138.34 Undertone Network May 5 $10,000.00 $2,000.00 June 5 $10,000.00 $2,000.00 July 7 $0.00 Undertone Totals 17 $20,000.00 $1,176.47 Overall Totals 410 $87,052.82 $212.32 72 1