Article

The Effect Of Promotions On Attendance At Major League Baseball Games

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Abstract

The determinants of attendance at professional sporting events come from a variety of team-specific, game-specific, and stadium-specific factors. Using data from the 2,431 major league baseball games played during the 2005 season, this study employs a multivariate regression model to determine the effect that the previously mentioned factors have on game attendance. The focus of the study is on the effect that promotions, such as product giveaways, have on attendance. The findings of this study indicate that having a promotion at a game increases attendance by about 1,532 fans. The findings also indicate that both the timing of a promotion and the type of promotion is important. Specifically, promotions held on weekends have a much smaller impact on attendance than promotions held during the week, with promotions held on Friday or Sunday having a particularly small effect. In terms of the type of promotion, this study finds that bobblehead giveaways have by far the largest impact on attendance and that several types of giveaways actually have no effect on attendance.

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... Much time and effort are afforded by marketing practitioners deciding upon the particulars of a giveaway. Past studies have explored when teams should schedule promotional-giveaway games (e.g., Kappe et al, 2014), what should be given away (e.g., Barilla et al., 2008), and how many items should be made available (Cisyk & Courty, 2021). Results suggest that teams trying to maximise ticket purchases should offer bobblehead giveaways (Boyd & Krehbiel, 2006;Barilla et al., 2008;Paul et al., 2019); on weekdays (Barilla et al., 2008); during night-, not day-, games (Boyd & Krehbiel, 2006); and restrict the number of items distributed to approximately 40 percent of the stadium (Cisyk & Courty, 2021). ...
... Past studies have explored when teams should schedule promotional-giveaway games (e.g., Kappe et al, 2014), what should be given away (e.g., Barilla et al., 2008), and how many items should be made available (Cisyk & Courty, 2021). Results suggest that teams trying to maximise ticket purchases should offer bobblehead giveaways (Boyd & Krehbiel, 2006;Barilla et al., 2008;Paul et al., 2019); on weekdays (Barilla et al., 2008); during night-, not day-, games (Boyd & Krehbiel, 2006); and restrict the number of items distributed to approximately 40 percent of the stadium (Cisyk & Courty, 2021). Yet, if a bobblehead is scheduled as the promotional item, one key decision made by the team remains unexplored by prior research: who should the bobblehead resemble? ...
... Past studies have explored when teams should schedule promotional-giveaway games (e.g., Kappe et al, 2014), what should be given away (e.g., Barilla et al., 2008), and how many items should be made available (Cisyk & Courty, 2021). Results suggest that teams trying to maximise ticket purchases should offer bobblehead giveaways (Boyd & Krehbiel, 2006;Barilla et al., 2008;Paul et al., 2019); on weekdays (Barilla et al., 2008); during night-, not day-, games (Boyd & Krehbiel, 2006); and restrict the number of items distributed to approximately 40 percent of the stadium (Cisyk & Courty, 2021). Yet, if a bobblehead is scheduled as the promotional item, one key decision made by the team remains unexplored by prior research: who should the bobblehead resemble? ...
Article
Full-text available
Giveaways such as jerseys, caps, or bobbleheads are part of a host of promotions used to entice fans to purchase tickets and attend live events, particularly in sports. Bobbleheads have often been viewed as the bellwether giveaway in demand-side analytical studies as they are common across sport, league, and team, and are viewed as highly prized collectable items. Empiricists typically code promotions as binary variables to measure the impact of these additional perks have on attendance, yet each bobblehead event features a distinct figurine distinguished by several previously unexplored dimensions. Due to the nature of bobbleheads typically resembling real-life individuals, consumer sentiment towards the bobblehead's namesake may drive or deter the demand for the giveaway. Using a novel dataset of descriptions of bobblehead giveaways, this study finds that demand for Major League Baseball games varies by a bobblehead's character type, where the impact on attendance is greatest for bobbleheads featuring players and sports-casters, lowest for managers, and middling for mascots and other types. Evidence suggests that bobbleheads depicted in costumes or as characters of licensed brands lead to greater attendance than brand-less bobbleheads, yet the gains observed from the average branded bobblehead game may not offset the additional costs associated with licensing agreements.
... Each dollar increase in the cost of the giveaway increased attendance by 2,688 fans. Barilla, Gruben, and Levernier (2008) attempted to first determine which factors affect attendance at MLB games and, second, to determine the strength of those effects. They collected data from each of the 2,431 regular-season games played during the 2005 MLB season. ...
... The model included four categories of independent variables: (a) variables describing characteristics of the home and visiting teams; (b) variables describing the characteristics of the game, including weather conditions, day of the week, and time of the game; (c) variables describing the ethnic background of the home team's announced starting pitcher; and (d) variables describing the type of promotion at the game. Barilla, Gruben, and Levernier (2008) first revealed that teams with higher opening day payrolls have higher attendance, attracting an extra 610 fans for every $10 million increase in a team's payroll. They also found that, contrary to Boyd and Krehbiel (2003), promotions at games against rivals did not affect attendance differently than promotions at games against non-rivals. ...
... In addition, interleague games attract up to 700 more fans than intraleague games. Third, the results of this study did not support the findings of Scully (1974) and Krautman (1999), who found that attendance is less likely to increase when the home team's starting pitcher is not White (Barilla, Gruben, & Levernier, 2008). Finally, the results, coinciding with those of Boyd and Krehbiel, showed that certain types of promotions generate larger increases in attendance than others. ...
Article
In the late 1960s, liberal and radical students enrolled in the Wisconsin State University (WSU) System coalesced into organizations to challenge the policies of the System's administration. One of these liberal-left organizations was Students for a Democratic Society (SDS), a national student organization known for confronting educational and political establishments. In order to prevent SDS from creating dissent on their campuses, WSU administrators established new policies that prevented SDS from being recognized and then used these policies to create guidelines that gave the administration greater control over student life in general. Small numbers of African American WSU students also rebelled between 1968 and 1970, causing a systemwide crisis. After racially based vandalism and violence occurred on several WSU campuses, the administration bypassed traditional disciplinary practices and redefined due process within the System. As a result, the administration expanded its disciplinary authority, and ethnic minorities were left with minimal access to due process. By the end of the 1960s, the administration's reactions to these events had facilitated significant growth of power for the System's administrators.
... The number of people consuming the event increases with the perceived value of the competition, which has a direct impact on the value of sponsorship rights and business-to-business products (Kunkel et al., 2017). However, for most teams, the largest source of revenue is derived from home game attendance, which includes the ticket price and extra expenditures, such as parking, food, and souvenirs (Barilla et al., 2008). Therefore, for the efficiency of sales and marketing management, sports promoters should estimate match consumption with reasonable precision in order to generate larger profits. ...
... When the objective is to predict attendance to matches, regression models are usually applied, most notably Tobit (e.g., Sacheti et al., 2016;Jane, 2014;Buraimo & Simmons, 2009), Probit (e.g. Lera-López & Rapún-Gárate, 2011) and OLS (Barilla et al., 2008;Madalozzo & Villar, 2009;Iho & Heikkila 2010;Valenti et al., 2020). Three studies (Strnad et al., 2017;King & Rice, 2018;Sahin & Erol, 2018) explore the use of machine learning methods to predict attendance at sports events, being directly related to our research. ...
Article
Forecasting of attendance demand to sports events is a common topic of study in the sports economics literature, being traditionally addressed through the use of multivariate regression analysis or structural equation modeling. In recent years, a restricted number of authors have approached the problem using machine learning methods, with promising results. In this article, we investigate the use of analytical techniques from the machine learning toolbox, namely symbolic regression and genetic programming (SR/GP), to determine the best fitting prediction function that relates contextual and panel independent variables to soccer match attendance. For that purpose, we analyze 5 years of attendance to soccer matches played at a large stadium in Southern Brazil. Two datasets with game-level attendance to matches from two soccer championships are considered, covering the seasons from 2014 to 2019. We also propose the use of expert panels to collect information on relevant candidate independent variables and their interactions to be tested in the prediction models, expediting the feature selection step of the modeling process. From the academic perspective, our study is the first to propose the use of SR/GP to model soccer match attendance, contributing to the limited number of studies that use game-by-game attendance as the dependent variable and develop team-specific attendance models. From the managerial perspective, identifying factors responsible for systematic variations in match attendance levels enables better sport management and marketing plans.
... These studies include factors such as winning (team success) (Quirk & Fort, 1992;Spenner, Fenn, & Crooker, 2010;Coates & Humphreys, 2011;Ahn & Lee, 2014), game outcome uncertainty (Mills & Fort, 2014;Jane, 2016), team offensive performance (Domazlicky & Kerr, 1990;Coates & Humphreys, 2011;Lee 2018;Lewis & Yoon, 2018;Davis & Miller, 2019b),defensive performance measures (Nourayi, 2006;Coates & Humphreys, 2011;Ormiston, 2014;Davis & Miller, 2019a), star players (Berri, Schmidt, & Brooks, 2004;Morse, Shapiro, McEvoy, & Rascher, 2008;Lewis & Yoon, 2018), rivalry games (Paul, 2003;Tyler, Morehead, Cobbs, & DeSchriver, 2017;Cobbs, Sparks, & Tyler, 2017;Harvard & Reams, 2018), promotional events (e.g. giveaways, fireworks) (Howell, Klenosky, & McEvoy, 2015;Boyd & Krehbiel, 2006;Barilla, Gruben, & Levernier, 2008;Dick & Turner, 2007), and media advertisement (Dick & Turner, 2007;Trail, Kwon, & Anderson, 2009). Researchers also revealed that fans are watching games on television for some of the same reasons as fans attending games at the stadium. ...
... Additional studies into other sports leagues have revealed that promotional events (e.g., giveaways, fireworks) can have a positive impact attendance (Zhang, Pease, Hui, & Michaud, 1994;McDonald & Rascher, 2000;Howell et al., 2015;Boyd & Krehbiel, 2006;Barilla et al., 2008;Dick & Turner, 2007). Studies have revealed that media advertisement has some positive impacts on attendance (Dick & Turner, 2007;Trail et al., 2009). ...
Thesis
Sport consumers have multiple options to choose from when participating in leisure activities. Several researchers have tried to conceptualize the consumer behavior process. However, these researchers did not take into consideration all aspects of the sport consumer’s decision-making process. Therefore, the purpose of this dissertation was to establish a comprehensive model of sport consumer decision-making that incorporates motivation, team identification, and attraction factors as a foundation of fan behavior no matter the sport or level of competition. Through the use of this model, the researcher ascertained a more in-depth understanding of how sport consumers make decisions and what factors had the greatest influence on these decisions. The researcher surveyed five teams within the Southern League of Minor League Baseball. The data was analyzed using structural equation modeling. The results of the study signified that control oriented and autonomy-oriented motivation had a direct influence on a fan’s team identification. The identification level did indicate a strong relationship to a fan’s decision to attend a game and/or use sport media. However, the level of identification influenced the path of the decision process. Fans with no to low team identification utilized attractiveness factors as a mediating factor in their decision-making process.
... A number of studies have also addressed the positive relationship between in-game promotions and attendance (Baade & Tiehen, 1990;Barilla, Gruben, & Levernier, 2008;Boyd & Krehbiel, 2003;Hill et al., 1982;Lemke et al., 2010;Marcum & Greenstein, 1985;McDonald & Rascher, 2000). Several studies have uncovered average increases in attendance of up to 20 % at MLB games when a promotion is employed (Boyd & Krehbiel, 2003). ...
... As defined in the current study, venue includes game schedule characteristics such as game time, day of the week, month, year, and holidays. Past research has established a positive relationship between attendance and evening games, weekend games, games played in the summer or on national holidays, and games played in the latter part of the season for teams with a solid chance of playoff contention (Barilla et al., 2008;Boyd & Krehbiel, 2003;Hansen & Gauthier, 1989;Hill et al., 1982;Lemke et al., 2010;Marcum & Greenstein, 1985). ...
Article
Full-text available
We devise a new statistical methodology called constrained stochastic extended redundancy analysis (CSERA) to examine the comparative impact of various conceptual factors, or drivers, as well as the specific predictor variables that contribute to each driver on designated dependent variable(s). The technical details of the proposed methodology, the maximum likelihood estimation algorithm, and model selection heuristics are discussed. A sports marketing consumer psychology application is provided in a Major League Baseball (MLB) context where the effects of six conceptual drivers of game attendance and their defining predictor variables are estimated. Results compare favorably to those obtained using traditional extended redundancy analysis (ERA).
... Interleague play has also been associated with increases in attendance (Beckman et al., 2012; Lemke et al., 2010). A number of studies have also addressed the positive relationship between in-game promotions and attendance (Baade & Tiehen, 1990; Barilla, Gruben, & Levernier, 2008; Boyd & Krehbiel, 2003; Hill et al., 1982; Lemke et al., 2010; Marcum & Greenstein, 1985; McDonald & Rascher, 2000). Several studies have uncovered average increases in attendance of up to 20 % at MLB games when a promotion is employed (Boyd & Krehbiel, 2003). ...
... As defined in the current study, venue includes game schedule characteristics such as game time, day of the week, month, year, and holidays. Past research has established a positive relationship between attendance and evening games, weekend games, games played in the summer or on national holidays, and games played in the latter part of the season for teams with a solid chance of playoff contention (Barilla et al., 2008; Boyd & Krehbiel, 2003; Hansen & Gauthier, 1989; Hill et al., 1982; Lemke et al., 2010; Marcum & Greenstein, 1985). Concerning weather, some prior work has recognized the negative impact of inclement weather on sports attendance, especially as it relates to women's attendance (Siegfried & Hinshaw, 1977; Trail, Robinson, & Kim, 2008). ...
Article
We devise a new statistical methodology called constrained stochastic extended redundancy analysis (CSERA) to examine the comparative impact of various conceptual factors, or drivers, as well as the specific predictor variables that contribute to each driver on designated dependent variable(s). The technical details of the proposed methodology, the maximum likelihood estimation algorithm, and model selection heuristics are discussed. A sports marketing consumer psychology application is provided in a Major League Baseball (MLB) context where the effects of six conceptual drivers of game attendance and their defining predictor variables are estimated. Results compare favorably to those obtained using traditional extended redundancy analysis (ERA).
... Moreover, our unique data set, the likes of which has not yet been explored, covers all bobblehead giveaways for all MLB teams over eight continuous seasons making it, to the best of our knowledge, the largest panel used to estimate promotion responses. While previous research has focused on either a longitudinal approach (Kappe et al., 2014) or a cross-sectional approach (e.g., Barilla, Gruben, & Levernier, 2008;Boyd & Krehbiel, 2003Bruggink & Eaton, 1996;Hill et al., 1982;Marcum & Greenstein, 1985;McDonald & Rascher, 2000), we make use of the variation across both time and team. 4 Our panel data set makes use of time fixed effects to control for factors that impact all teams alike (e.g., year, month, day of week) and team fixed effects to control for factors that are relatively constant for a given team (e.g., socioeconomic status of the home city, local support of the team, etc.). ...
Article
Full-text available
Although stadium giveaways are the most common type of promotion used in Major League Baseball to increase demand, most teams supply fewer giveaway items than there are tickets sold. This study argues that giveaway availability is a major component of teams' promotion strategies and has been largely overlooked in the literature. The authors document the choice of giveaway availability across all Major League Baseball teams over an 8-year period and demonstrate that attendance increases with giveaway availability up to the point where there are enough giveaway items to serve 40% of a stadium's capacity. Roughly two thirds of teams set giveaway availability in a fashion that is consistent with the standard price discrimination rationale for promotions found in the economic and marketing literatures. The remaining teams exhibit levels of high availability, indicating an additional investment into fan lifetime value, which is corroborated by these teams' unique fan relationships.
... In our context, a team's marketing performance can be assessed based on how controllable resources (i.e., marketing activity) are used to increase home game attendance by comparing it to the highest possible outcome. In this assessment, it is critical to control for factors such as market characteristics, venue, and on-field performance, which are not controllable by marketing (Reddy, Stam, & Agrell, 2015) but are determinants of attendance (e.g., Barilla, Gruben, & Levernier, 2008;Buraimo & Simmons, 2009;Watanabe, Yan, & Soebbing, 2015). We propose a stochastic frontier model as an approach for such assessment. ...
Article
While assessment of team-level marketing performance for a professional sport franchise is important for both the team marketer and the researcher to develop a marketing strategy and understand marketing performance, no evidence using a full set of teams for a long period of time currently exists. We propose that marketing performance can be estimated with a stochastic frontier model. Using twenty seasons of Major League Baseball (MLB) attendance data, we estimate the frontier attendance (i.e., the maximal attendance a team can reach) after controlling for factors unrelated to marketing, and we argue that the efficiency (i.e., the difference between the frontier and the actual attendance) represents the team’s marketing performance. We also test whether our estimates capture marketing performance successfully by using the honeymoon and novelty effects, both of which are clearly shown in our estimates.
... Third, few studies distinguish between different types of promotions and their influence on attendance above and beyond uncontrollable external drivers. Some previous work has examined differences between various promotions, but it is often unclear which promotions are included in such studies, and in some cases, a number of promotions are purposefully excluded from analysis (see Barilla et al. 2008, Boyd and Krehbiel 2003, Gifis and Sommers 2006, Lemke et al. 2010, Marcum and Greenstein 1985, McDonald and Rascher 2000, Siegfried and Eisenberg 1980. Therefore, every promotion employed by the Pirates from 2010 to 2012 was included in the data set and classified into one of the following four promotional categories (to be described in more detail later): entertainment, giveaway, kids, and price promotions. ...
Article
Full-text available
Game attendance resulting from ticket sales is the single largest revenue stream for Major League Baseball (MLB) teams. We propose a general multiple distributed lag framework following the Koyck family of models for estimating MLB attendance drivers and focus specifically on the differential direct and carryover effects of in-game promotions. By setting various model constraints, the proposed framework incorporates different forms of serial correlation and promotion-specific dynamic effects. Using information model-selection heuristics, we select an optimal model of attendance drivers for the Pittsburgh Pirates' 2010–2012 MLB seasons. We demonstrate that our newly proposed model with an unrestricted serial correlation structure performs best. We find that although kids promotions have the highest direct effect on attendance, giveaway and entertainment promotions have substantial carryover effects and the largest total effects. We use our results to optimize the Pirates' promotional schedule and find that a reallocation of resources across promotional categories can increase profits between 39% and 88%. Data, as supplemental material, are available at http://dx.doi.org/10.1287/mnsc.2013.1856 . This paper was accepted by Eric Bradlow, special issue on business analytics.
Article
Purpose The main purpose of this research was to determine what types of promotions increase Minor League Baseball attendance across all of the official leagues. The secondary purpose was to ascertain the role of other control variables such as win percentage, weather, days of the week, start time and city demographics. The research also includes a grouping of cities through k-means clustering to better understand what types of promotions work in what cities. Design/methodology/approach Data were gathered on all the Minor League Baseball teams and their respective cities. Regression models were run to test for the role of individual promotions (structured as dummy variables) and other controls. One model specification used city demographic variables, one used city fixed effects rather than city demographics and the final specification used k-means clustering to separate cities into distinct groups. Findings Promotions generally were found to increase attendance, although there were differences across levels of play. K-means clustering helped with the grouping of cities to ascertain which types of promotions were beneficial when comparing large metropolitan areas to high-income cities. Research limitations/implications Promotions were grouped into common categories, although some were difficult to classify (or were infrequent), so a miscellaneous promotions category was included to capture these promotions in Minor League Baseball. Practical implications The findings of this research are beneficial to those designing promotional schedules for individual teams. It also is beneficial to the leagues as the findings have implications as it relates to what fans desire to see when attending minor league games. Originality/value The originality in this work is the collection of all Minor League Baseball attendance, city information and promotional information across the different levels of play (AAA, AA, High-A and A). Using different model specifications and groupings, including k-means clustering to match similar cities, successful promotions were identified.
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Promotion Timing in Major League Baseball and the Stacking Effects of Factors That Increase Game Attractiveness
  • Thomas C Boyd
  • Timothy C Krehbiel
Boyd, Thomas C., and Timothy C. Krehbiel, Promotion Timing in Major League Baseball and the Stacking Effects of Factors That Increase Game Attractiveness, Sport Marketing Quarterly, Vol. 12, No. 3, pp. 173-183, 2003.
A Baseball Mastermind at http://www.businessweek.com/bwdaily/dnflash/oct2004/nf20041027_3631_db078.htm?chan=search
  • Brewster
  • Mike
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