SlideShare une entreprise Scribd logo
1  sur  32
Broadway Analysis



     Group Members:
      David De Rosa
      Julie Lefeuvre
      Amanda Paquin
       Sonny Patel
                       1
Executive Summary
       Research on Broadway was conducted to increase annual Broadway attendance of the secondary
target audience. From this objective, Broadway should subsequently see an increase in annual revenue
and ticket sales. The research was conducted to obtain a better understanding of the entertainment and
Broadway industries, as well as, an understanding of the attitudes and purchasing habits of theatergoers.
       The methodology of this study began with a situational analysis to determine the history and
current state of the entertainment and Broadway industries. The target audience for Broadway was
researched and analyzed. Following the target audience analysis, secondary markets were determined.
These markets were targeted in a survey with a sample size of 42 males and females. The survey results
were analyzed in IBM SPSS to interpret the data and determine suitable conclusions recommendations.
       We have found that the cast, advertising and ticket prices are major factors in patron’s willingness
to attend Broadway. Members of our secondary target audience are likely to recommend Broadway
shows and research the show’s ticket prices before attending. This shows a high level of preparation
when considering a Broadway show. Satisfaction is dependent upon the theatergoers perception of
Broadway. Future attendance is dependent upon the cast members of the Broadway show. Word-of-
mouth is dependent upon the theatergoers willingness to attend Broadway.
       We recommend that Broadway increase advertising towards secondary markets, continue to cast
celebrity actors, and increase awareness of discount ticket options.




                                                                                                              2
Industry & Market Trends




                           3
Market Size
                                                                       Shows in Production


                                                                             48


                                                                                                                              Broadway
                                                                                         222                                  Off-Broadway
                                                         323
                                                                                                                              Off-Off-Broadway




                            •      40 Broadway Theaters in Manhattan make up ―Broadway‖
                            •      2010-2011 season: 42 shows opened
                            •      2010-2011 total attendance: 12,534,595
                            •      2010-2011 attendance grew 5.4% from 2009-2010
                                                                                                                                                  4
Broadway Tickets and Discount Theater Tickets for Broadway Shows at TheaterMania.com. Web. 18 Oct. 2011. <http://www.theatermania.com>.
The Broadway League - The Official Website of the Broadway Theatre Industry. Web. 18 Oct. 2011. <http://www.broadwayleague.com>.
Trends in Sales

                                                                                    Yearly Grosses
                  1,200,000,000

                  1,000,000,000

                      800,000,000

                      600,000,000

                      400,000,000

                      200,000,000

                                           0
                                                 1

                                                 0

                                                 9

                                                 8

                                                 7

                                                 6

                                                 5

                                                 4

                                                 3

                                                 2

                                                 1
                                               01

                                               01

                                               00

                                               00

                                               00

                                               00

                                               00

                                               00

                                               00

                                               00

                                               00
                                             -2

                                            -2

                                            -2

                                            -2

                                            -2

                                            -2

                                            -2

                                            -2

                                            -2

                                            -2

                                            -2
                                          10

                                          09

                                          08

                                          07

                                          06

                                          05

                                          04

                                          03

                                          02

                                          01

                                          00
                                       20

                                       20

                                       20

                                       20

                                       20

                                       20

                                       20

                                       20

                                       20

                                       20

                                       20
       • Ticket sales have steadily increased over the past decade
       • During the financial crisis, ticket sales remained constant from previous year

                                                                                                                                               5
The Broadway League - The Official Website of the Broadway Theatre Industry. Web. 18 Oct. 2011. <http://www.broadwayleague.com>.
Ticket Price Trends
                                                             Average Broadway Ticket Price
                                                                          ($)

                                2010                                                                                                                    82

                                2006                                                                                                 67

                                2000                                                                              52

                                1999                                                                            50

                                              0                      20                       40                        60                       80                     100

                      • Steady increase in average Broadway ticket price due to economic inflation
                      • $32 increase in average price in 11 years
                      • 2010 average Orchestra ticket price is $140

"There's No Business like Broadway's: Lessons in Ticket Pricing from New York | Stage | Guardian.co.uk." Latest News, Sport and Comment from the Guardian | The Guardian. Web. 23 Oct. 2011.
http://www.guardian.co.uk/stage/theatreblog/2011/jan/17/broadway-lessons-ticket-pricing-discounts.
Robertson, Campbell. "Broadway - Tickets - Theater - New York Times." The New York Times - Breaking News, World News & Multimedia. 23 Oct. 2011. Web. 23 Oct. 2011.
<http://www.nytimes.com/2006/05/08/theater/08tick.html?pagewanted=all>.
Back Stage; 06/09/2000, Vol. 41 Issue 23, p5, 2p                                                                                                                                               6
"There's No Business like Broadway's: Lessons in Ticket Pricing from New York | Stage | Guardian.co.uk." Latest News, Sport and Comment from the Guardian | The Guardian. Web. 23 Oct. 2011.
<http://www.guardian.co.uk/stage/theatreblog/2011/jan/17/broadway-lessons-ticket-pricing-discounts>.
Lifestyle Trends
    • Those are attended live theater in the last 12 months are
      40 times more likely to be politically very liberal                                                                                  Sample       189
      compared to the average                                                                                                               (000)      3,091
    • Liberal outlook is projected to appeal to the audience
                                                                                                                                           Vertical    6.64%
        • Will Ferrell starred in You’re Welcome America
    • Growth of contemporary rock music in original musicals                                                                              Horizontal   30%
        • Popular musicals include: Spring Awakening, Bloody                                                                                Index       140
           Bloody Andrew Jackson, & Rock of Ages
    • Growth in new productions from novels                                                                                                 Base       1.41%
        • Popular titles include: The Light in the Piazza, Les
           Liaisons Dangereuses, The Color Purple, & Wicked
    • Growth of new musicals from film
        • Popular musicals include: The Little Mermaid, Beauty
           and the Beast, Shrek, Legally Blonde, 9 to 5, The
           Wedding Singer, Mary Poppins, & The Lion King
        • Popular musicals include: Spring Awakening, Bloody
           Bloody Andrew Jackson, & Rock of Ages

Simmons Choices 3                                                                                                                                             7
Back Stage (19305966); 2/12/2009, Vol. 50 Issue 7, p10-11, 2p, 1 Color Photograph
Broadway Tickets and Discount Theater Tickets for Broadway Shows at TheaterMania.com. Web. 18 Oct. 2011. http://www.theatermania.com.
Seasonal Factors

      • Highest grossing months include:
        December and April

      • A steady increase in total sales leading
        up to December                                                                                 Seasonality of Total Broadway Ticket Sales
         • Fall show openings occur in
             November
         • Theatergoers are purchasing
             tickets for holiday gifts

      • Steady increase after the holiday
        season leading up to April
          • Spring show openings occur in
             April
          • Tony award nominees are
             announced in the spring


                                                                                                                                                 8
Broadway Tickets and Discount Theater Tickets for Broadway Shows at TheaterMania.com. Web. 18 Oct. 2011. <http://www.theatermania.com>.
Changes in Consumer Relationship
          • Change from Broadway star to main stream stars on Broadway
             • Original Broadway stars include: Bernadette Peters, Angela Lansbury, Patti
                LuPone, Julie Andrews, Fred Astaire, Gene Kelly, and Ben Vereen
             • New Actors to Broadway include: Catherine Zeta Jones, Dane Cook, Julia
                Stiles, Daniel Radcliffe, Laura Linney, Brooke Shields, and Christina Rucci

          • A focus on musicals appropriate for child audience
             • Popular titles include: Cats, Beauty and the Beast, Shrek, The Addams
                 Family, The Lion King, Mary Poppins, Spiderman: Turn Off the Dark




                                                                                                                                                                          9
"Broadway: The American Musical . Stars Over Broadway | PBS." PBS: Public Broadcasting Service. Web. 23 Oct. 2011. <http://www.pbs.org/wnet/broadway/stars/index.html>.
Broadway Tickets and Discount Theater Tickets for Broadway Shows at TheaterMania.com. Web. 18 Oct. 2011. <http://www.theatermania.com>.
Internal Industry Trends




                           10
Top Ten Broadway Hits

            Rank                      Show Name                                 Gross                Avg Tkt Price Broadway Run                      Performances
                1           Phantom Of The Opera                             $770.0M                       $76.75                     24 years*         9283
                2                  The Lion King                             $699.1M                      $104.85                     15 years*         5197
                3                         Wicked                             $467.6M                      $108.90                      9 years*         2718
                4             Beauty & The Beast                             $429.2M                       $86.20                      14 years         5461
                5                    Mamma Mia                               $416.9M                       $83.14                     11 years*         3560
                6                  Les Miserables                            $406.3M                       $80.76                      17 years         6680
                7                        Chicago                             $377.4M                       $77.72                     16 years*         5612
                8                            Cats                            $366.4M                       $59.56                      19 years         7485
                9                   The Producers                            $288.4M                       $67.48                       7 years         2502
              10                     Miss Saigon                             $285.8M                       $65.71                      11 years         4092
          *Denotes a Presently running
          show
               Disney has been successful on Broadway after producing six Broadway
          shows including: Beauty & the Beast, Tarzan, The Lion King, Mary
          Poppins, Aida, and The Little Mermaid. Disney has produced two productions
          that rank in the top 4 major hits in Broadway history.
                                                                                                                                                               11
"15 Biggest Broadway Hits of All Time." CNBC. CNBC, n.d. Web. 22 Oct 2011. <http://www.cnbc.com/id/39656612/15_Biggest_Broadway_Hits_of_All_Time>.
Trends in Spending

          • 2010 – 2011 Spending
                  Broadway Spending                                           Direct Spending                                      Total Impact
                                                                                 (million $)                                        (million $)

              Spending by Broadway                                                     $5,192.2                                      $7,700.1
              Tourists

              Show Expenses                                                              $949.2                                      $2,048.5
              Theatre Expenses                                                            $34.6                                       $51.4
              Total                                                                    $6,175.9                                      $9,800.1


          •       Broadway positively impacts New York City’s economy
          •       Broadway’s substantial economic contributions strengthens the ties with city
                  community


                                                                                                                                                  12
The Broadway League - The Official Website of the Broadway Theatre Industry. Web. 18 Oct. 2011. <http://www.broadwayleague.com>.
Trends of Growth

          • 2010-2011 produced record high gross with a 5.9% increase from previous year

          • 2010-2011 attendance grew 5.4% from last year




                                                                                                                                               13
The Broadway League - The Official Website of the Broadway Theatre Industry. Web. 18 Oct. 2011. <http://www.broadwayleague.com>.
Current Positioning




                • Broadway’s main objective is to sell tickets
                • Broadway positions towards tourists over Manhattan locals
                    • Producers will open productions with familiar titles to draw in tourists
                    • Directors will cast familiar actors/actresses to draw in tourists
                • Broadway aims to provide entertainment for all ages that may appeal to a mass
                  audience with a wide genre of productions
                • Heavy users attend 6+ live events per year (6%)                                                                         14
The Broadway League - The Official Website of the Broadway Theatre Industry. Web. 18 Oct. 2011. http://www.broadwayleague.com.
Research Methodology




                       15
Goals & Objectives
      The goal of this study is to determine why the secondary target audience—couples
with children or planning to have children between the ages of 25 – 44—is not
attending Broadway as often as the primary target audience which includes
couples, families and individuals 45 years of age and older. Given the high attendance
rate of the primary target audience, we chose to focus on the variables that negatively
impact the next largest audience in hopes that it will increase that segment’s attendance.
      The objectives of this study are to increase annual Broadway attendance of
secondary target market and subsequently increase annual revenue and ticket sales for
Broadway. Additionally, the study aims to discover a better understanding of the
attitudes and purchasing habits of the secondary target market.




                                                                                        16
Type and Intent of Study
      The situational analysis using secondary research from Simmons Choices
3, Playbill.com, Theatermania.com, and Broadwayleague.com will assist with the intent
of the Broadway study. The research will aim to get a better understanding of the
overall entertainment and Broadway industries and to understand the attitudes and
buying habits of the primary target audience.
      The survey analysis using primary research by surveying the secondary targets’
attitudes toward Broadway will show results that can assist with recommendations and
conclusions. The primary research will aim to understand the attitudes and buying
habits of the secondary target market and determine factors that may or may not
increase or decrease the attendance of Broadway performances.




                1st                                      2nd
                                                                                   17
Definition of Population & Methodology
Sample size: 42
Gender: Males & Females
Age Range: 25 – 44
Martial Status: Any
Children: Planning to have or currently have one or more children
Geographic Region: New York, New Jersey, Pennsylvania, Connecticut and Lyon, France
Ethnicity: African American, Asian, Caucasian, Hispanic and Multi-Racial




       From November 10th 2011 to November 27th 2011, 43 surveys were administered to occupants of
the general Northeast area in 4 different locations. Survey questions were chosen based on a situational
analysis of the entertainment and theater industries and their relevance to the goal of this study. In
total, 43 questionnaires were distributed and 42 were deemed valid, representing a usability of 98%.
Preliminary questions were asked to ensure each survey taker was within the secondary target market
population. Survey questions were asked to determine factors that inhibit Broadway attendance.




                                                                                                           18
Questionnaire Development
Survey Objectives
     To discover the factors that most influence the buying and spending habits of
Broadway-goers in either a negative or positive way.
Data Collection Method
     Most of the surveys were self-administered. A few surveys were administered via
email. Potential survey-takers were screened to determine whether they had
children, and if not, were excluded from the study.
Individual Question Content
     To remain unbiased and objective, various attitude questions were asked, using the
semantic differential method. This method demonstrated the level of attention of
survey-takers. Various, nominal, ordinal, interval, and ratio questions were asked.
Ratio questions were asked to limit the inability to respond.
Question Wording and Sequence
     Objective wording was used to avoiding leading respondents to a desired
response. The sequence of survey questions were ordered from broad to detailed and
ended with demographic questions.



                                                                                     19
Primary Research Analysis




                            20
Segmentations & Target Market Choice




        The research objective to
        survey both men and women
        was met. Findings show
        that there were slightly more
        men surveyed then women.




                                                      21
IBM SPSS Statistics
Segmentations & Target Market Choice




                                            69.04% of the survey
                                            population are
                                            Caucasian. This
                                            statistic is consistent
                                            with the target market
                                            defined in the
                                            situational analysis.




                                                                22
IBM SPSS Statistics
Descriptive Survey Analysis


                                 From the people surveyed:
                                 • 5 earn less than $40,000
                                    a year.
                                 • 22 earn between $40,000
                                    to $80,000
                                 • 8 earn between $80,000
                                    to $125,000
                                 • 5 earn between $125,000
                                    to $200,000
                                 • 2 earn more than
                                    $200,000




                                                     23
IBM SPSS Statistics
Segmentations & Target Market Choice



                                            From those surveyed:
                                            • 19 have 1 child
                                            • 14 have 2 children
                                            • 7 have 3 children
                                            • 1 has 4 children
                                            • 1 has more than 5
                                               children




                                                               24
IBM SPSS Statistics
Segmentations & Target Market Choice



                                        Out of those surveyed, the
                                        vast majority (78.57%) had
                                        attended a Broadway show in
                                        the last 12 months. Although
                                        their past attendance does not
                                        determine their future
                                        attendance, this shows that
                                        most of those surveyed have a
                                        prior interest in theater.




                                                                     25
IBM SPSS Statistics
Means Analysis
                                      Statements                   Mean
                      The cast of B'way determines my desire to    3.67
                      attend.
                      I am likely to recommend a B'way show.       4.60

                      Advertising for B'way influences my choice   3.68
                      of show.                                                  Theater-goers are indifferent towards a
                      I go to B'way because my family wants to     3.52   Broadway show’s cast (11.9%), influence of
                      go to B'way.
                      I research B'way ticket prices before        4.00
                                                                          advertising (19%), researching ticket prices
      1-7             choosing a show.                                    (9.5%), and attending Broadway based on
                      I attend B'way because I want to.            4.74
                                                                          family’s wants (2.4%) and special occasions
                      I only see B'way shows for special           4.26   (11.9%). The above values indicate the
                      occasions.
                      After attending a show I dislike, I will     4.19   percentage of the median responses. Of the
                      continue to attend B'way in the future.             survey-takers, 54.7% responded any disagree
                      I am satisfied with the price of my B'way    3.14   that they are satisfied with their ticket price.
                      tickets.
                      Makes me feel valuable.                      3.43   The results also showed that 57.1%
                      Makes me feel wise.                          3.52   responded any agree to recommending a
                      Makes me feel pleasant.                      4.33
                                                                          Broadway show and 61.9% to attending
                      Makes me feel nice.                          4.21
                      Makes me feel agreeable.                     3.36   Broadway because they wanted to.
      1-5             Makes me feel happy.                         3.98
                      I find B'way positive.                       4.26
                      I find B'way exciting.                       3.81
                      I find B'way affordable.                     2.26
                      I find B'way stimulating.                    3.14                                             26
IBM SPSS Statistics
Correlation Analysis
                                Correlated Statements from Survey Questions
The cast of Broadway influences my desire to attend.            0.586    I will attend Broadway in the next 12 mos.
I seek out new productions on Broadway.                         0.546    I will attend Broadway in the next 12 mos.
I only see Broadway shows for special occasions.                -0.803   Attended Broadway last 12 months.
I attend Broadway because I want to.                            0.797    I am likely to recommend a Broadway show.
I will continue to attend Broadway after being dissatisfied.    0.545    I am likely to recommend a Broadway show.
Broadway makes me feel wise.                                    0.532    I am likely to recommend a Broadway show.
I find Broadway to be exciting.                                 0.587    I am likely to recommend a Broadway show.
I find Broadway to be exciting.                                 0.587    I am likely to recommend a Broadway show.
Broadway makes me feel nice.                                    0.542    I am likely to recommend a Broadway show.
I attend Broadway because I want to.                            0.570    I find Broadway to be exciting.
Broadway makes me feel wise.                                    0.600    I find Broadway to be exciting.
Broadway makes me feel valuable.                                0.571    Broadway makes me feel wise.
Broadway makes me feel valuable.                                0.581    Broadway makes me feel useful.
Broadway makes me feel wise.                                    0.620    Broadway makes me feel useful.

                Statements from the survey results were rated. Using SPSS, the data was able to be
           correlated for similarity. Negative correlations indicate an inverse relationship between
           two statements. For example, when the survey taker agreed that they only see
           Broadway show for special occasions, they did not attend Broadway in the last 12
           months. Strong positive correlations indicate that both statements are likely to happen
           together. When theatergoers attend Broadway because they want to, they are also likely
           to recommend a Broadway show.                                                            27
 IBM SPSS Statistics
Correlation Analysis
                                Correlated Statements from Survey Questions
I attend Broadway because I want to.                               0.537 I find Broadway to be positive.
I am dissatisfied after going seeing a Broadway show.             -0.621 I find Broadway to be positive.
Broadway makes me feel wise.                                       0.590 I find Broadway to be positive.
Broadway makes me feel pleasant.                                   0.505 I find Broadway to be positive.
I am dissatisfied after going seeing a Broadway show.             -0.622 Broadway makes me feel nice.
Broadway makes me feel valuable.                                   0.509 Broadway makes me feel nice.
Broadway makes me feel wise.                                       0.568 Broadway makes me feel nice.
Broadway makes me feel pleasant.                                   0.795 Broadway makes me feel nice.
Broadway makes me feel wise.                                       0.634 Broadway makes me feel pleasant.
Broadway makes me feel useful.                                     0.547 Broadway makes me feel pleasant.
I am dissatisfied after going seeing a Broadway show.             -0.653 Broadway makes me feel pleasant.
I will continue attending Broadway after being dissatisfied.       0.508 I attend Broadway because I want to.


                 The above statements are additional correlations that were found using SPSS. The
           correlations are made through the attitudes of the survey takers. When Broadway makes
           the target feel pleasant, the target also feels nice. When the target is dissatisfied after
           going to see a Broadway show, the do not feel pleasant.

                                                                                                     28
 IBM SPSS Statistics
Regression Analysis: Satisfaction
                         IV


                                                                              DV
                        Feel
                      pleasant



                         IV                                            Dissatisfaction


                       Find
                      B’way
                      positive

         Satisfaction is dependent upon the theater-goers perception of Broadway. When the
    theater-goer does not feel pleasant towards Broadway or find Broadway positive, then
    dissatisfaction occurs. Feeling pleasant has a significance of .012 and finding Broadway
    positive has a significance of .011. These high significances support our interpretations of
    Broadway dissatisfaction.                                                                  29
IBM SPSS Statistics
Regression Analysis: Future Attendance
                        IV


                                                                     DV
                       Cast

                                                           I will attend B’way in
                                                              the next 12 mos.
                        IV


                      Attend
                      last 12
                       mos.


     Future attendance of Broadway is dependent upon the cast of the Broadway show.
     Attending a Broadway show in the last 12 months does not affect future attendance.
     The casts of Broadway hold a significance of .002, while the previous attendance
     has a significance of .010.                                                    30
IBM SPSS Statistics
Regression Analysis: Future Attendance
                                                                         DV

                      IV

                                                               After disliking a B’way
            I attend                  .508                     show, I will continue to
             B’way                                                  attend B’way
           because I
            want to




     After a theater-goer experiences dissatisfaction from seeing a Broadway show, they
     are still likely to attend Broadway in the future. With 99% confidence, future
     attendance is dependent upon theater-goers attending Broadway because they want
     to. The dependent variable has a beta coefficient of .508.
                                                                                    31
IBM SPSS Statistics
Regression Analysis: Word of Mouth
                                                                        DV

                      IV


            I go to                   .596                    I am likely to recommend
            B’way                                                   a B’way show
           because I
            want to




     Word of mouth affects the future attendance of Broadway. The likelihood of a
     theater-goer to recommend a Broadway show is dependent upon the theater-goer
     attending Broadway because they want to. The beta coefficient is .596. There is a
     100% confidence level in the relationship between independently attending
     Broadway and their recommendations to others.
                                                                                   32
IBM SPSS Statistics

Contenu connexe

En vedette

Broadway & the Economy
Broadway & the EconomyBroadway & the Economy
Broadway & the EconomyKerri Martin
 
Broadway 360 Final Presentation
Broadway 360 Final PresentationBroadway 360 Final Presentation
Broadway 360 Final PresentationGordon Holtslander
 
The Broadway Theatre (AM)
The Broadway Theatre (AM)The Broadway Theatre (AM)
The Broadway Theatre (AM)Unggul DJatmika
 
Musical theatre powerpoint
Musical theatre powerpointMusical theatre powerpoint
Musical theatre powerpointJeremy James
 
20141128 BH Report: Broadway
20141128 BH Report: Broadway20141128 BH Report: Broadway
20141128 BH Report: BroadwayBruce H.
 
Broadway, um destino turístico.
Broadway, um destino turístico.Broadway, um destino turístico.
Broadway, um destino turístico.Millie Pereira
 
Rockway - Rock n´ Broadway
Rockway - Rock n´ BroadwayRockway - Rock n´ Broadway
Rockway - Rock n´ Broadwayjuantelabdi
 
O fantasma da opera
O fantasma da operaO fantasma da opera
O fantasma da operaruscasalles
 
Broadway in Concert
Broadway in ConcertBroadway in Concert
Broadway in ConcertRicardo Maia
 
phantom of the opera main character
phantom of the opera main characterphantom of the opera main character
phantom of the opera main characterameera akhtar
 
Fantasma da ópera
Fantasma da óperaFantasma da ópera
Fantasma da óperamariabotto
 
Presentation 2 A Phantom Of The Opera
Presentation 2 A Phantom Of The OperaPresentation 2 A Phantom Of The Opera
Presentation 2 A Phantom Of The Operaguest49af3f
 
Ouders als Buddy in tijdschrift Beter Begeleiden jan 2015
Ouders als Buddy in tijdschrift Beter Begeleiden jan 2015Ouders als Buddy in tijdschrift Beter Begeleiden jan 2015
Ouders als Buddy in tijdschrift Beter Begeleiden jan 2015Bart van Loon
 
東京台東区谷中の細幅織物(リボン)産業関連資料調査
東京台東区谷中の細幅織物(リボン)産業関連資料調査東京台東区谷中の細幅織物(リボン)産業関連資料調査
東京台東区谷中の細幅織物(リボン)産業関連資料調査nokoyane
 

En vedette (20)

Broadway & the Economy
Broadway & the EconomyBroadway & the Economy
Broadway & the Economy
 
Broadway 360 Final Presentation
Broadway 360 Final PresentationBroadway 360 Final Presentation
Broadway 360 Final Presentation
 
The Broadway Theatre (AM)
The Broadway Theatre (AM)The Broadway Theatre (AM)
The Broadway Theatre (AM)
 
Musical theatre powerpoint
Musical theatre powerpointMusical theatre powerpoint
Musical theatre powerpoint
 
20141128 BH Report: Broadway
20141128 BH Report: Broadway20141128 BH Report: Broadway
20141128 BH Report: Broadway
 
On Broadway
On Broadway On Broadway
On Broadway
 
Broadway, um destino turístico.
Broadway, um destino turístico.Broadway, um destino turístico.
Broadway, um destino turístico.
 
Operas Houses
Operas HousesOperas Houses
Operas Houses
 
Teatros 8ªII
Teatros 8ªIITeatros 8ªII
Teatros 8ªII
 
Rockway - Rock n´ Broadway
Rockway - Rock n´ BroadwayRockway - Rock n´ Broadway
Rockway - Rock n´ Broadway
 
Broadway
BroadwayBroadway
Broadway
 
O fantasma da opera
O fantasma da operaO fantasma da opera
O fantasma da opera
 
The lion king broadway
The lion king broadwayThe lion king broadway
The lion king broadway
 
Broadway in Concert
Broadway in ConcertBroadway in Concert
Broadway in Concert
 
phantom of the opera main character
phantom of the opera main characterphantom of the opera main character
phantom of the opera main character
 
Fantasma da ópera
Fantasma da óperaFantasma da ópera
Fantasma da ópera
 
Presentation 2 A Phantom Of The Opera
Presentation 2 A Phantom Of The OperaPresentation 2 A Phantom Of The Opera
Presentation 2 A Phantom Of The Opera
 
Ouders als Buddy in tijdschrift Beter Begeleiden jan 2015
Ouders als Buddy in tijdschrift Beter Begeleiden jan 2015Ouders als Buddy in tijdschrift Beter Begeleiden jan 2015
Ouders als Buddy in tijdschrift Beter Begeleiden jan 2015
 
Tech and Tickets: Disruption Freeing the Market
Tech and Tickets: Disruption Freeing the MarketTech and Tickets: Disruption Freeing the Market
Tech and Tickets: Disruption Freeing the Market
 
東京台東区谷中の細幅織物(リボン)産業関連資料調査
東京台東区谷中の細幅織物(リボン)産業関連資料調査東京台東区谷中の細幅織物(リボン)産業関連資料調査
東京台東区谷中の細幅織物(リボン)産業関連資料調査
 

Similaire à Broadway Analysis

European initiatives
European initiativesEuropean initiatives
European initiativesEdward Baker
 
Proyecto para tratamiento de cloaca de los municipios
Proyecto para tratamiento de cloaca de los municipiosProyecto para tratamiento de cloaca de los municipios
Proyecto para tratamiento de cloaca de los municipiosAntonio de Sousa Oliveira
 
2012 outlook four seasons_geneve
2012 outlook four seasons_geneve2012 outlook four seasons_geneve
2012 outlook four seasons_geneveBordier & Cie
 
Seabridge goldmar13presentation
Seabridge goldmar13presentationSeabridge goldmar13presentation
Seabridge goldmar13presentationCompany Spotlight
 
Webinar presentation ver 11/10/2012
Webinar presentation ver 11/10/2012Webinar presentation ver 11/10/2012
Webinar presentation ver 11/10/2012Carey Weiss
 
Outlook for the Norwegian Economy
Outlook for the Norwegian EconomyOutlook for the Norwegian Economy
Outlook for the Norwegian EconomyIvararthur
 
The Changing Battlefield for Freedom Online
The Changing Battlefield for Freedom OnlineThe Changing Battlefield for Freedom Online
The Changing Battlefield for Freedom OnlineTim Hwang
 
It's Hard Out There For A Geek
It's Hard Out There For A GeekIt's Hard Out There For A Geek
It's Hard Out There For A Geekguest20e406
 
Bob White - State of the Market by the Numbers
Bob White - State of the Market by the NumbersBob White - State of the Market by the Numbers
Bob White - State of the Market by the NumbersRyan Slack
 
Unwto 2011 - Tourism toward 2030
Unwto 2011 - Tourism toward 2030Unwto 2011 - Tourism toward 2030
Unwto 2011 - Tourism toward 2030Emanuele Dal Carlo
 
Pharmaceutical Resource Planning & Management
Pharmaceutical Resource Planning & ManagementPharmaceutical Resource Planning & Management
Pharmaceutical Resource Planning & ManagementTodd Tullis
 
Site Speed Tuneup: Putting Your Code On A Diet
Site Speed Tuneup: Putting Your Code On A DietSite Speed Tuneup: Putting Your Code On A Diet
Site Speed Tuneup: Putting Your Code On A Dietmm_merchant
 
H and rc only market report - january 2013
H and rc only   market report - january 2013H and rc only   market report - january 2013
H and rc only market report - january 2013KlineMayRealty
 
Bda presentation. specialty papers 2012.2
Bda presentation. specialty papers 2012.2Bda presentation. specialty papers 2012.2
Bda presentation. specialty papers 2012.2Frank Perkowski
 
Hovedtrender for fremtidig reiseetterspørsel
Hovedtrender for fremtidig reiseetterspørselHovedtrender for fremtidig reiseetterspørsel
Hovedtrender for fremtidig reiseetterspørselRobin Stenersen
 
Presenting objective and subjective uncertainty information for spatial syste...
Presenting objective and subjective uncertainty information for spatial syste...Presenting objective and subjective uncertainty information for spatial syste...
Presenting objective and subjective uncertainty information for spatial syste...University of Adelaide
 
ソーシャルコマースのすゝめ
ソーシャルコマースのすゝめソーシャルコマースのすゝめ
ソーシャルコマースのすゝめRyoichi Tsukada
 
Toi dua em sang song
Toi dua em sang songToi dua em sang song
Toi dua em sang songhoangmeo60
 
Dr. Elwynn Taylor - Weather Outlook
Dr. Elwynn Taylor - Weather OutlookDr. Elwynn Taylor - Weather Outlook
Dr. Elwynn Taylor - Weather OutlookJohn Blue
 

Similaire à Broadway Analysis (20)

European initiatives
European initiativesEuropean initiatives
European initiatives
 
Proyecto para tratamiento de cloaca de los municipios
Proyecto para tratamiento de cloaca de los municipiosProyecto para tratamiento de cloaca de los municipios
Proyecto para tratamiento de cloaca de los municipios
 
2012 outlook four seasons_geneve
2012 outlook four seasons_geneve2012 outlook four seasons_geneve
2012 outlook four seasons_geneve
 
Seabridge goldmar13presentation
Seabridge goldmar13presentationSeabridge goldmar13presentation
Seabridge goldmar13presentation
 
Webinar presentation ver 11/10/2012
Webinar presentation ver 11/10/2012Webinar presentation ver 11/10/2012
Webinar presentation ver 11/10/2012
 
Outlook for the Norwegian Economy
Outlook for the Norwegian EconomyOutlook for the Norwegian Economy
Outlook for the Norwegian Economy
 
Outlook for the Norwegian Economy
Outlook for the Norwegian EconomyOutlook for the Norwegian Economy
Outlook for the Norwegian Economy
 
The Changing Battlefield for Freedom Online
The Changing Battlefield for Freedom OnlineThe Changing Battlefield for Freedom Online
The Changing Battlefield for Freedom Online
 
It's Hard Out There For A Geek
It's Hard Out There For A GeekIt's Hard Out There For A Geek
It's Hard Out There For A Geek
 
Bob White - State of the Market by the Numbers
Bob White - State of the Market by the NumbersBob White - State of the Market by the Numbers
Bob White - State of the Market by the Numbers
 
Unwto 2011 - Tourism toward 2030
Unwto 2011 - Tourism toward 2030Unwto 2011 - Tourism toward 2030
Unwto 2011 - Tourism toward 2030
 
Pharmaceutical Resource Planning & Management
Pharmaceutical Resource Planning & ManagementPharmaceutical Resource Planning & Management
Pharmaceutical Resource Planning & Management
 
Site Speed Tuneup: Putting Your Code On A Diet
Site Speed Tuneup: Putting Your Code On A DietSite Speed Tuneup: Putting Your Code On A Diet
Site Speed Tuneup: Putting Your Code On A Diet
 
H and rc only market report - january 2013
H and rc only   market report - january 2013H and rc only   market report - january 2013
H and rc only market report - january 2013
 
Bda presentation. specialty papers 2012.2
Bda presentation. specialty papers 2012.2Bda presentation. specialty papers 2012.2
Bda presentation. specialty papers 2012.2
 
Hovedtrender for fremtidig reiseetterspørsel
Hovedtrender for fremtidig reiseetterspørselHovedtrender for fremtidig reiseetterspørsel
Hovedtrender for fremtidig reiseetterspørsel
 
Presenting objective and subjective uncertainty information for spatial syste...
Presenting objective and subjective uncertainty information for spatial syste...Presenting objective and subjective uncertainty information for spatial syste...
Presenting objective and subjective uncertainty information for spatial syste...
 
ソーシャルコマースのすゝめ
ソーシャルコマースのすゝめソーシャルコマースのすゝめ
ソーシャルコマースのすゝめ
 
Toi dua em sang song
Toi dua em sang songToi dua em sang song
Toi dua em sang song
 
Dr. Elwynn Taylor - Weather Outlook
Dr. Elwynn Taylor - Weather OutlookDr. Elwynn Taylor - Weather Outlook
Dr. Elwynn Taylor - Weather Outlook
 

Broadway Analysis

  • 1. Broadway Analysis Group Members: David De Rosa Julie Lefeuvre Amanda Paquin Sonny Patel 1
  • 2. Executive Summary Research on Broadway was conducted to increase annual Broadway attendance of the secondary target audience. From this objective, Broadway should subsequently see an increase in annual revenue and ticket sales. The research was conducted to obtain a better understanding of the entertainment and Broadway industries, as well as, an understanding of the attitudes and purchasing habits of theatergoers. The methodology of this study began with a situational analysis to determine the history and current state of the entertainment and Broadway industries. The target audience for Broadway was researched and analyzed. Following the target audience analysis, secondary markets were determined. These markets were targeted in a survey with a sample size of 42 males and females. The survey results were analyzed in IBM SPSS to interpret the data and determine suitable conclusions recommendations. We have found that the cast, advertising and ticket prices are major factors in patron’s willingness to attend Broadway. Members of our secondary target audience are likely to recommend Broadway shows and research the show’s ticket prices before attending. This shows a high level of preparation when considering a Broadway show. Satisfaction is dependent upon the theatergoers perception of Broadway. Future attendance is dependent upon the cast members of the Broadway show. Word-of- mouth is dependent upon the theatergoers willingness to attend Broadway. We recommend that Broadway increase advertising towards secondary markets, continue to cast celebrity actors, and increase awareness of discount ticket options. 2
  • 3. Industry & Market Trends 3
  • 4. Market Size Shows in Production 48 Broadway 222 Off-Broadway 323 Off-Off-Broadway • 40 Broadway Theaters in Manhattan make up ―Broadway‖ • 2010-2011 season: 42 shows opened • 2010-2011 total attendance: 12,534,595 • 2010-2011 attendance grew 5.4% from 2009-2010 4 Broadway Tickets and Discount Theater Tickets for Broadway Shows at TheaterMania.com. Web. 18 Oct. 2011. <http://www.theatermania.com>. The Broadway League - The Official Website of the Broadway Theatre Industry. Web. 18 Oct. 2011. <http://www.broadwayleague.com>.
  • 5. Trends in Sales Yearly Grosses 1,200,000,000 1,000,000,000 800,000,000 600,000,000 400,000,000 200,000,000 0 1 0 9 8 7 6 5 4 3 2 1 01 01 00 00 00 00 00 00 00 00 00 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 10 09 08 07 06 05 04 03 02 01 00 20 20 20 20 20 20 20 20 20 20 20 • Ticket sales have steadily increased over the past decade • During the financial crisis, ticket sales remained constant from previous year 5 The Broadway League - The Official Website of the Broadway Theatre Industry. Web. 18 Oct. 2011. <http://www.broadwayleague.com>.
  • 6. Ticket Price Trends Average Broadway Ticket Price ($) 2010 82 2006 67 2000 52 1999 50 0 20 40 60 80 100 • Steady increase in average Broadway ticket price due to economic inflation • $32 increase in average price in 11 years • 2010 average Orchestra ticket price is $140 "There's No Business like Broadway's: Lessons in Ticket Pricing from New York | Stage | Guardian.co.uk." Latest News, Sport and Comment from the Guardian | The Guardian. Web. 23 Oct. 2011. http://www.guardian.co.uk/stage/theatreblog/2011/jan/17/broadway-lessons-ticket-pricing-discounts. Robertson, Campbell. "Broadway - Tickets - Theater - New York Times." The New York Times - Breaking News, World News & Multimedia. 23 Oct. 2011. Web. 23 Oct. 2011. <http://www.nytimes.com/2006/05/08/theater/08tick.html?pagewanted=all>. Back Stage; 06/09/2000, Vol. 41 Issue 23, p5, 2p 6 "There's No Business like Broadway's: Lessons in Ticket Pricing from New York | Stage | Guardian.co.uk." Latest News, Sport and Comment from the Guardian | The Guardian. Web. 23 Oct. 2011. <http://www.guardian.co.uk/stage/theatreblog/2011/jan/17/broadway-lessons-ticket-pricing-discounts>.
  • 7. Lifestyle Trends • Those are attended live theater in the last 12 months are 40 times more likely to be politically very liberal Sample 189 compared to the average (000) 3,091 • Liberal outlook is projected to appeal to the audience Vertical 6.64% • Will Ferrell starred in You’re Welcome America • Growth of contemporary rock music in original musicals Horizontal 30% • Popular musicals include: Spring Awakening, Bloody Index 140 Bloody Andrew Jackson, & Rock of Ages • Growth in new productions from novels Base 1.41% • Popular titles include: The Light in the Piazza, Les Liaisons Dangereuses, The Color Purple, & Wicked • Growth of new musicals from film • Popular musicals include: The Little Mermaid, Beauty and the Beast, Shrek, Legally Blonde, 9 to 5, The Wedding Singer, Mary Poppins, & The Lion King • Popular musicals include: Spring Awakening, Bloody Bloody Andrew Jackson, & Rock of Ages Simmons Choices 3 7 Back Stage (19305966); 2/12/2009, Vol. 50 Issue 7, p10-11, 2p, 1 Color Photograph Broadway Tickets and Discount Theater Tickets for Broadway Shows at TheaterMania.com. Web. 18 Oct. 2011. http://www.theatermania.com.
  • 8. Seasonal Factors • Highest grossing months include: December and April • A steady increase in total sales leading up to December Seasonality of Total Broadway Ticket Sales • Fall show openings occur in November • Theatergoers are purchasing tickets for holiday gifts • Steady increase after the holiday season leading up to April • Spring show openings occur in April • Tony award nominees are announced in the spring 8 Broadway Tickets and Discount Theater Tickets for Broadway Shows at TheaterMania.com. Web. 18 Oct. 2011. <http://www.theatermania.com>.
  • 9. Changes in Consumer Relationship • Change from Broadway star to main stream stars on Broadway • Original Broadway stars include: Bernadette Peters, Angela Lansbury, Patti LuPone, Julie Andrews, Fred Astaire, Gene Kelly, and Ben Vereen • New Actors to Broadway include: Catherine Zeta Jones, Dane Cook, Julia Stiles, Daniel Radcliffe, Laura Linney, Brooke Shields, and Christina Rucci • A focus on musicals appropriate for child audience • Popular titles include: Cats, Beauty and the Beast, Shrek, The Addams Family, The Lion King, Mary Poppins, Spiderman: Turn Off the Dark 9 "Broadway: The American Musical . Stars Over Broadway | PBS." PBS: Public Broadcasting Service. Web. 23 Oct. 2011. <http://www.pbs.org/wnet/broadway/stars/index.html>. Broadway Tickets and Discount Theater Tickets for Broadway Shows at TheaterMania.com. Web. 18 Oct. 2011. <http://www.theatermania.com>.
  • 11. Top Ten Broadway Hits Rank Show Name Gross Avg Tkt Price Broadway Run Performances 1 Phantom Of The Opera $770.0M $76.75 24 years* 9283 2 The Lion King $699.1M $104.85 15 years* 5197 3 Wicked $467.6M $108.90 9 years* 2718 4 Beauty & The Beast $429.2M $86.20 14 years 5461 5 Mamma Mia $416.9M $83.14 11 years* 3560 6 Les Miserables $406.3M $80.76 17 years 6680 7 Chicago $377.4M $77.72 16 years* 5612 8 Cats $366.4M $59.56 19 years 7485 9 The Producers $288.4M $67.48 7 years 2502 10 Miss Saigon $285.8M $65.71 11 years 4092 *Denotes a Presently running show Disney has been successful on Broadway after producing six Broadway shows including: Beauty & the Beast, Tarzan, The Lion King, Mary Poppins, Aida, and The Little Mermaid. Disney has produced two productions that rank in the top 4 major hits in Broadway history. 11 "15 Biggest Broadway Hits of All Time." CNBC. CNBC, n.d. Web. 22 Oct 2011. <http://www.cnbc.com/id/39656612/15_Biggest_Broadway_Hits_of_All_Time>.
  • 12. Trends in Spending • 2010 – 2011 Spending Broadway Spending Direct Spending Total Impact (million $) (million $) Spending by Broadway $5,192.2 $7,700.1 Tourists Show Expenses $949.2 $2,048.5 Theatre Expenses $34.6 $51.4 Total $6,175.9 $9,800.1 • Broadway positively impacts New York City’s economy • Broadway’s substantial economic contributions strengthens the ties with city community 12 The Broadway League - The Official Website of the Broadway Theatre Industry. Web. 18 Oct. 2011. <http://www.broadwayleague.com>.
  • 13. Trends of Growth • 2010-2011 produced record high gross with a 5.9% increase from previous year • 2010-2011 attendance grew 5.4% from last year 13 The Broadway League - The Official Website of the Broadway Theatre Industry. Web. 18 Oct. 2011. <http://www.broadwayleague.com>.
  • 14. Current Positioning • Broadway’s main objective is to sell tickets • Broadway positions towards tourists over Manhattan locals • Producers will open productions with familiar titles to draw in tourists • Directors will cast familiar actors/actresses to draw in tourists • Broadway aims to provide entertainment for all ages that may appeal to a mass audience with a wide genre of productions • Heavy users attend 6+ live events per year (6%) 14 The Broadway League - The Official Website of the Broadway Theatre Industry. Web. 18 Oct. 2011. http://www.broadwayleague.com.
  • 16. Goals & Objectives The goal of this study is to determine why the secondary target audience—couples with children or planning to have children between the ages of 25 – 44—is not attending Broadway as often as the primary target audience which includes couples, families and individuals 45 years of age and older. Given the high attendance rate of the primary target audience, we chose to focus on the variables that negatively impact the next largest audience in hopes that it will increase that segment’s attendance. The objectives of this study are to increase annual Broadway attendance of secondary target market and subsequently increase annual revenue and ticket sales for Broadway. Additionally, the study aims to discover a better understanding of the attitudes and purchasing habits of the secondary target market. 16
  • 17. Type and Intent of Study The situational analysis using secondary research from Simmons Choices 3, Playbill.com, Theatermania.com, and Broadwayleague.com will assist with the intent of the Broadway study. The research will aim to get a better understanding of the overall entertainment and Broadway industries and to understand the attitudes and buying habits of the primary target audience. The survey analysis using primary research by surveying the secondary targets’ attitudes toward Broadway will show results that can assist with recommendations and conclusions. The primary research will aim to understand the attitudes and buying habits of the secondary target market and determine factors that may or may not increase or decrease the attendance of Broadway performances. 1st 2nd 17
  • 18. Definition of Population & Methodology Sample size: 42 Gender: Males & Females Age Range: 25 – 44 Martial Status: Any Children: Planning to have or currently have one or more children Geographic Region: New York, New Jersey, Pennsylvania, Connecticut and Lyon, France Ethnicity: African American, Asian, Caucasian, Hispanic and Multi-Racial From November 10th 2011 to November 27th 2011, 43 surveys were administered to occupants of the general Northeast area in 4 different locations. Survey questions were chosen based on a situational analysis of the entertainment and theater industries and their relevance to the goal of this study. In total, 43 questionnaires were distributed and 42 were deemed valid, representing a usability of 98%. Preliminary questions were asked to ensure each survey taker was within the secondary target market population. Survey questions were asked to determine factors that inhibit Broadway attendance. 18
  • 19. Questionnaire Development Survey Objectives To discover the factors that most influence the buying and spending habits of Broadway-goers in either a negative or positive way. Data Collection Method Most of the surveys were self-administered. A few surveys were administered via email. Potential survey-takers were screened to determine whether they had children, and if not, were excluded from the study. Individual Question Content To remain unbiased and objective, various attitude questions were asked, using the semantic differential method. This method demonstrated the level of attention of survey-takers. Various, nominal, ordinal, interval, and ratio questions were asked. Ratio questions were asked to limit the inability to respond. Question Wording and Sequence Objective wording was used to avoiding leading respondents to a desired response. The sequence of survey questions were ordered from broad to detailed and ended with demographic questions. 19
  • 21. Segmentations & Target Market Choice The research objective to survey both men and women was met. Findings show that there were slightly more men surveyed then women. 21 IBM SPSS Statistics
  • 22. Segmentations & Target Market Choice 69.04% of the survey population are Caucasian. This statistic is consistent with the target market defined in the situational analysis. 22 IBM SPSS Statistics
  • 23. Descriptive Survey Analysis From the people surveyed: • 5 earn less than $40,000 a year. • 22 earn between $40,000 to $80,000 • 8 earn between $80,000 to $125,000 • 5 earn between $125,000 to $200,000 • 2 earn more than $200,000 23 IBM SPSS Statistics
  • 24. Segmentations & Target Market Choice From those surveyed: • 19 have 1 child • 14 have 2 children • 7 have 3 children • 1 has 4 children • 1 has more than 5 children 24 IBM SPSS Statistics
  • 25. Segmentations & Target Market Choice Out of those surveyed, the vast majority (78.57%) had attended a Broadway show in the last 12 months. Although their past attendance does not determine their future attendance, this shows that most of those surveyed have a prior interest in theater. 25 IBM SPSS Statistics
  • 26. Means Analysis Statements Mean The cast of B'way determines my desire to 3.67 attend. I am likely to recommend a B'way show. 4.60 Advertising for B'way influences my choice 3.68 of show. Theater-goers are indifferent towards a I go to B'way because my family wants to 3.52 Broadway show’s cast (11.9%), influence of go to B'way. I research B'way ticket prices before 4.00 advertising (19%), researching ticket prices 1-7 choosing a show. (9.5%), and attending Broadway based on I attend B'way because I want to. 4.74 family’s wants (2.4%) and special occasions I only see B'way shows for special 4.26 (11.9%). The above values indicate the occasions. After attending a show I dislike, I will 4.19 percentage of the median responses. Of the continue to attend B'way in the future. survey-takers, 54.7% responded any disagree I am satisfied with the price of my B'way 3.14 that they are satisfied with their ticket price. tickets. Makes me feel valuable. 3.43 The results also showed that 57.1% Makes me feel wise. 3.52 responded any agree to recommending a Makes me feel pleasant. 4.33 Broadway show and 61.9% to attending Makes me feel nice. 4.21 Makes me feel agreeable. 3.36 Broadway because they wanted to. 1-5 Makes me feel happy. 3.98 I find B'way positive. 4.26 I find B'way exciting. 3.81 I find B'way affordable. 2.26 I find B'way stimulating. 3.14 26 IBM SPSS Statistics
  • 27. Correlation Analysis Correlated Statements from Survey Questions The cast of Broadway influences my desire to attend. 0.586 I will attend Broadway in the next 12 mos. I seek out new productions on Broadway. 0.546 I will attend Broadway in the next 12 mos. I only see Broadway shows for special occasions. -0.803 Attended Broadway last 12 months. I attend Broadway because I want to. 0.797 I am likely to recommend a Broadway show. I will continue to attend Broadway after being dissatisfied. 0.545 I am likely to recommend a Broadway show. Broadway makes me feel wise. 0.532 I am likely to recommend a Broadway show. I find Broadway to be exciting. 0.587 I am likely to recommend a Broadway show. I find Broadway to be exciting. 0.587 I am likely to recommend a Broadway show. Broadway makes me feel nice. 0.542 I am likely to recommend a Broadway show. I attend Broadway because I want to. 0.570 I find Broadway to be exciting. Broadway makes me feel wise. 0.600 I find Broadway to be exciting. Broadway makes me feel valuable. 0.571 Broadway makes me feel wise. Broadway makes me feel valuable. 0.581 Broadway makes me feel useful. Broadway makes me feel wise. 0.620 Broadway makes me feel useful. Statements from the survey results were rated. Using SPSS, the data was able to be correlated for similarity. Negative correlations indicate an inverse relationship between two statements. For example, when the survey taker agreed that they only see Broadway show for special occasions, they did not attend Broadway in the last 12 months. Strong positive correlations indicate that both statements are likely to happen together. When theatergoers attend Broadway because they want to, they are also likely to recommend a Broadway show. 27 IBM SPSS Statistics
  • 28. Correlation Analysis Correlated Statements from Survey Questions I attend Broadway because I want to. 0.537 I find Broadway to be positive. I am dissatisfied after going seeing a Broadway show. -0.621 I find Broadway to be positive. Broadway makes me feel wise. 0.590 I find Broadway to be positive. Broadway makes me feel pleasant. 0.505 I find Broadway to be positive. I am dissatisfied after going seeing a Broadway show. -0.622 Broadway makes me feel nice. Broadway makes me feel valuable. 0.509 Broadway makes me feel nice. Broadway makes me feel wise. 0.568 Broadway makes me feel nice. Broadway makes me feel pleasant. 0.795 Broadway makes me feel nice. Broadway makes me feel wise. 0.634 Broadway makes me feel pleasant. Broadway makes me feel useful. 0.547 Broadway makes me feel pleasant. I am dissatisfied after going seeing a Broadway show. -0.653 Broadway makes me feel pleasant. I will continue attending Broadway after being dissatisfied. 0.508 I attend Broadway because I want to. The above statements are additional correlations that were found using SPSS. The correlations are made through the attitudes of the survey takers. When Broadway makes the target feel pleasant, the target also feels nice. When the target is dissatisfied after going to see a Broadway show, the do not feel pleasant. 28 IBM SPSS Statistics
  • 29. Regression Analysis: Satisfaction IV DV Feel pleasant IV Dissatisfaction Find B’way positive Satisfaction is dependent upon the theater-goers perception of Broadway. When the theater-goer does not feel pleasant towards Broadway or find Broadway positive, then dissatisfaction occurs. Feeling pleasant has a significance of .012 and finding Broadway positive has a significance of .011. These high significances support our interpretations of Broadway dissatisfaction. 29 IBM SPSS Statistics
  • 30. Regression Analysis: Future Attendance IV DV Cast I will attend B’way in the next 12 mos. IV Attend last 12 mos. Future attendance of Broadway is dependent upon the cast of the Broadway show. Attending a Broadway show in the last 12 months does not affect future attendance. The casts of Broadway hold a significance of .002, while the previous attendance has a significance of .010. 30 IBM SPSS Statistics
  • 31. Regression Analysis: Future Attendance DV IV After disliking a B’way I attend .508 show, I will continue to B’way attend B’way because I want to After a theater-goer experiences dissatisfaction from seeing a Broadway show, they are still likely to attend Broadway in the future. With 99% confidence, future attendance is dependent upon theater-goers attending Broadway because they want to. The dependent variable has a beta coefficient of .508. 31 IBM SPSS Statistics
  • 32. Regression Analysis: Word of Mouth DV IV I go to .596 I am likely to recommend B’way a B’way show because I want to Word of mouth affects the future attendance of Broadway. The likelihood of a theater-goer to recommend a Broadway show is dependent upon the theater-goer attending Broadway because they want to. The beta coefficient is .596. There is a 100% confidence level in the relationship between independently attending Broadway and their recommendations to others. 32 IBM SPSS Statistics