Conference Sessions - Jesse H. Jones Graduate School of ...
Conference Sessions - Jesse H. Jones Graduate School of ...
Conference Sessions - Jesse H. Jones Graduate School of ...
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3 - The Impact <strong>of</strong> Free-trial Promotions on Adoption <strong>of</strong> a High-tech<br />
Consumer Service<br />
Bram Foubert, Assistant Pr<strong>of</strong>essor, Maastricht University, <strong>School</strong> <strong>of</strong><br />
Business and Economics, Department <strong>of</strong> Marketing and SCM, P.O.<br />
Box 616, Maastricht, 6200 MD, Netherlands,<br />
b.foubert@maastrichtuniversity.nl, Els Gijsbrechts, Charlotte Rolef<br />
With the boost <strong>of</strong> electronic consumer services like online movie rentals or digital TV,<br />
free-trial promotions have gained widespread acceptance. Although a few studies<br />
have explored the impact <strong>of</strong> samples for consumer packaged goods, free trials for<br />
electronic consumer services deserve separate attention. For one, a service trial does<br />
not involve a fixed consumption amount but a fixed consumption period, such that<br />
learning depends on the consumer’s usage intensity. Moreover, because <strong>of</strong> its hi-tech<br />
nature, the quality <strong>of</strong> the service may evolve over time. In this study, we investigate<br />
the effects <strong>of</strong> free-trial promotions on consumers’ adoption decisions for hi-tech<br />
services. We identify the different components <strong>of</strong> a consumer’s “adoption utility” that<br />
are influenced by a free trial, and use a mixed logit structure with Bayesian learning<br />
to model the resulting effects on adoption behavior. A key feature <strong>of</strong> our model is<br />
that it incorporates usage-based learning about service quality in a context where the<br />
service quality itself evolves over time. We estimate the model on data from a large<br />
European telecom operator <strong>of</strong>fering free trials to promote its new interactive digital<br />
TV service. Our empirical results yield several key insights for managers. First, our<br />
analysis enables us to document how free trials impact both the number <strong>of</strong> adopters<br />
and the total subscription fees – thereby shedding light on the degree <strong>of</strong> subsidization.<br />
Second, we compare the effectiveness <strong>of</strong> free trials in conveying information about<br />
the service, with that <strong>of</strong> other tools, namely advertising and direct marketing. Last<br />
but not least, we generate insights into the appropriate timing <strong>of</strong> free-trial<br />
promotions, and <strong>of</strong>fer guidelines for targeting.<br />
4 - Promotion Effectiveness in Economic Turbulence: From Price Wars<br />
to Economic Downturns<br />
Francesca Sotgiu, HEC Paris, 1 Rue de la Liberation,<br />
Jouy en Josas, France, sotgiu@hec.fr, Katrijn Gielens<br />
Reports on supermarket price wars are a wide spread theme in the business press,<br />
throughout the world and over time. When retailers intensify price competition,<br />
brand manufacturers are <strong>of</strong>ten at a loss, as they tend to lose control over their price<br />
and promotion tactics. Whereas temporary price discounts are manufacturers favorite<br />
tool to (temporary) boost their brand’ sales and market shares, it remains unclear<br />
how individual promotion actions perform amid a barrage <strong>of</strong> store-wide pricerollbacks.<br />
To address this issue, we examine price promotion effectiveness when<br />
brand manufacturers are tied up in supermarket price wars. We look at whether<br />
brand managers can benefit from promoting more (or less) during price wars and<br />
whether they would be better <strong>of</strong>f refraining from entering price wars, and/or<br />
changing their tactics as price wars go on. To do so, we first estimate the effectiveness<br />
<strong>of</strong> individual promotion events using a multiple break analysis (Leone 1987). Next,<br />
we relate the individual price promotion sensitivities to different price war scenarios.<br />
We analyze 687 individual price promotion events <strong>of</strong> a multinational CPG<br />
manufacturer at four competing supermarket chains between 2001 and 2005 in the<br />
Dutch market. Our results reveal that during price wars, promotions are more<br />
effective than during a business-as-usual environment. This effect, however,<br />
decreases over time during price wars. Still, when price wars coincide with economic<br />
contractions promotion effectiveness increases over time.<br />
■ TB10<br />
Founders IV<br />
Decision Making<br />
Contributed Session<br />
Chair: Robert Rooderkerk, Tilburg University, Warandelaan 2, Tilburg, NB,<br />
5000 LE, Netherlands, R.P.Rooderkerk@uvt.nl<br />
1 - Some Empirical Evidence on Predicted versus Reported Behavior:<br />
The Role <strong>of</strong> Attitudes and Situational<br />
William Putsis, University <strong>of</strong> North Carolina at Chapel Hill, Kenan-<br />
Flagler Business <strong>School</strong>, CB 3490, McColl Bldg #4518, Chapel Hill,<br />
NC, 27599, United States <strong>of</strong> America, William_Putsis@unc.edu,<br />
Preethika Sainam, Gal Zauberman<br />
Drug abuse among teenagers is commonplace: for example, in 2002, an estimated 2.6<br />
million Americans used marijuana. So, what factors lead to drug use among teenagers<br />
and do situational or attitudinal factors drive anticipated behavior? For example,<br />
while there are many reasons for using drugs, peer pressure <strong>of</strong>ten plays a major role<br />
in initial trial. In our research, we use data from the Partnership for Drug Free<br />
America’s (PDFA) Partnership Attitude Tracking Survey (PATS). Using this survey, the<br />
main question that we examine is whether individuals, teenagers in particular, are<br />
able to correctly predict their future consumption <strong>of</strong> illegal drugs. We use prior<br />
research to provide hypotheses about the role that situation versus attitude play in<br />
the accuracy <strong>of</strong> their prediction, accounting for factors such as peer influence, access<br />
to drugs, attitudes about drugs as well as current and prior drug use. The two key<br />
aspects <strong>of</strong> our framework are prediction accuracy and the power <strong>of</strong> the situation over<br />
beliefs and attitudes in accounting for behavior. To provide insight into these issues,<br />
MARKETING SCIENCE CONFERENCE – 2011 TB10<br />
15<br />
we examine research from psychology and behavioral decision making to develop our<br />
theory and then test our hypotheses using successive waves <strong>of</strong> the PATS survey. We<br />
find that non-users do a good job predicting future non-use. However, those who<br />
have previously tried drugs before generally do a poor job <strong>of</strong> predicting future use,<br />
systematically under-predicting the amount that they will use in the future. Further,<br />
we find that the greater the amount <strong>of</strong> prior use, the greater the under-prediction.<br />
More generally, we find evidence that situation plays a larger role than attitude in<br />
accounting for this systematic under-prediction.<br />
2 - Units versus Numbers<br />
Ashwani Monga, University <strong>of</strong> South Carolina, 1705 College Street,<br />
Columbia, SC, 29212, United States <strong>of</strong> America,<br />
ashwani@moore.sc.edu, Rajesh Bagchi<br />
Marketers frequently make changes to their product <strong>of</strong>ferings (shipping time, package<br />
size, etc.). We study how consumers react to such changes. The physical quantities<br />
we consider are duration, height, and weight. Numerosity research suggests that<br />
people react more strongly to equivalent changes that are expressed in units that are<br />
small (e.g., change in shipping time from 7 to 21 days) rather than large (e.g., change<br />
from 1 to 3 weeks), because <strong>of</strong> the size <strong>of</strong> the numbers (7 to 21 > 1 to 3). We propose<br />
an opposite effect – what we call unitosity – such that people react more strongly to<br />
changes in large rather than small units because <strong>of</strong> the size <strong>of</strong> the units themselves<br />
(few more weeks > few more days). These opposing effects, we argue, could occur<br />
due to perceptual salience such that physically prominent numbers elicit numerosity,<br />
but prominent units elicit unitosity. Then, we discuss cognitive salience due to<br />
mindsets. We argue that people construe numbers at a low level and units at a high<br />
level, because <strong>of</strong> which a concrete mindset yields a numerosity effect whereas an<br />
abstract mindset yields a unitosity effect. We observe such numerosity-unitosity<br />
reversals in four laboratory studies.<br />
3 - Resource Abundance and Conservation in Consumption<br />
Meng Zhu, Carnegie Mellon University, 5000 Forbes Ave, Posner<br />
385a, Tepper <strong>School</strong> <strong>of</strong> Business, CMU, Pittsburgh, PA, 15213, United<br />
States <strong>of</strong> America, mzhu@cmu.edu, Ajay Kalra<br />
In most consumption contexts, consumers tend to seek convenience, which typically<br />
leads to greater acquisition <strong>of</strong> resources than is necessary. Such over-acquisition <strong>of</strong><br />
resources is only possible when resources are abundant. When resources are not<br />
abundant, consumers need to carefully monitor their acquisition and consumption to<br />
not deplete the supply. Therefore, cues indicating non-abundance <strong>of</strong> a resource can<br />
prompt conservation behaviors. Importantly, we posit that the tendency to conserve<br />
triggered by non-abundance cues in a prior context can persist into subsequent<br />
consumption <strong>of</strong> unrelated resources. In four experiments, we demonstrate the<br />
proposed phenomenon, showing that non-abundance cues regarding one particular<br />
resource decrease cognitive accessibility <strong>of</strong> the general construct <strong>of</strong> abundance, and<br />
subsequently increase participants’ tendency to conserve a different type <strong>of</strong> resource<br />
(e.g., water, energy). Our results suggest that the underlying mechanism for the effect<br />
<strong>of</strong> non-abundance cues on conservation is motivational rather than priming <strong>of</strong><br />
conservation-related concepts or traits.<br />
4 - Optimizing the Assortment Layout: The Effect <strong>of</strong> Categorization<br />
Congruency on Purchase Incidence<br />
Robert Rooderkerk, Tilburg University, Warandelaan 2, Tilburg, NB,<br />
5000 LE, Netherlands, R.P.Rooderkerk@uvt.nl<br />
Consumer perceptions <strong>of</strong> the variety and complexity <strong>of</strong> an assortment affect the<br />
decision to buy or not. The study investigates the influence <strong>of</strong> assortment<br />
configuration on purchase incidence through its effect on both assortment<br />
perceptions. The layout <strong>of</strong> an assortment implies a certain externally induced product<br />
categorization. Consumers, on the other hand, have their own internal product<br />
categorization. This study studies the effect <strong>of</strong> the congruency between the external<br />
and internal categorization on purchase incidence. The data result from a betweensubjects<br />
experiment for a biscuit category, conducted with actual shoppers in a<br />
grocery store. Results from Bayesian mediation analyses show that higher<br />
categorization congruency positively affects purchase incidence via two routes. The<br />
first route corresponds to a positive effect <strong>of</strong> categorization congruency on perceived<br />
variety. This is consistent with the notion that higher categorization congruency<br />
facilitates consumer recognition <strong>of</strong> variety. The second route involves a negative effect<br />
<strong>of</strong> categorization congruency on perceived complexity. An assortment lay-out that is<br />
more consistent with a consumer’s internal categorization will make it easier for the<br />
consumer to understand the assortment. The effect <strong>of</strong> congruency on the two<br />
assortment perceptions is asymmetrically moderated by product knowledge. Whereas<br />
higher product knowledge strengthens the effect <strong>of</strong> categorization congruency on<br />
perceived variety, it has no effect on the relationship with perceived complexity. The<br />
analyses account for the correlation between the mediators and the repeated<br />
measures nature <strong>of</strong> the data. As such, they provide a generalizable framework to test<br />
for multiple mediation in the presence <strong>of</strong> a binary dependent variable.