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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.

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