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Erschienen in: Customer Needs and Solutions 2/2014

01.06.2014 | Research Article

Price Expectations and Purchase Decisions: Evidence from an Online Store Experiment

verfasst von: Sudipt Roy, Tat Chan, Amar Cheema

Erschienen in: Customer Needs and Solutions | Ausgabe 2/2014

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Abstract

In this paper, we study the role of consumer price expectations in influencing consumer purchase decisions. Specifically, we examine the drivers of relative dominance of two price expectations—one formed prior to store visit (PRIOR) and the other about price in other stores (POST) formed after being exposed to focal store price. We collect the data from an online store shopping environment, allowing participants to make real purchase decisions. We have identified two distinct classes of shopping behaviors in our data—inside-focused (IF) and outside-looking (OL). Purchase decisions of the former are mainly driven by PRIOR while that of the latter by POST. At constant cost, we show that a promotion scheme with deep discounts (e.g., 5 % for 3 weeks or 15 % price cut in the first week) boosts sales more than the one with shallow discount (e.g., 3 % for 5 weeks). This increase comes mainly from the OL class, which is more sensitive to price changes. We further demonstrate how stores should manage consumer price expectations to maximize the sales lift during price promotions.

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Fußnoten
1
To control the substantial delivery cost, a coin was tossed at the end of each interaction cycle to find out whether the participant gets her groceries or $15 in cash. Of the 290 participant-weeks, 143 resulted in home deliveries.
 
2
We only asked participants to report PRIORs for those SKUs they planned to purchase for two reasons: first, it would be too time consuming if participants had to report PRIORs for all 89 SKUs every week. Second and more important, it is not realistic that participants would be able to form price expectations for all SKUs including those they had never intended to purchase.
 
3
We have also estimated an asymmetric model allowing θ and β to be different when current prices are higher (vs. lower) than expectations in Eqs. (1) and (2). We do not find any significant asymmetric differences.
 
4
We also estimate one- and three-class models. The one-class model performs worse than the others based on both AIC and BIC. Although the three-class model is better than the two-class model based on AIC, the additional transaction class is small in size (about 9 %) that is split from the larger class in the two-class model. Other parameter estimates are similar. To test our hypotheses directly, based on dual-process information processing, we choose to focus only on the two-class model. We also estimate several alternative models to check the robustness of the results presented here. For example, we estimate a model allowing for a consumer-specific random effect on class membership. That is, we assume a stochastic term ξ i for each participant i in Eq. (5) that is fixed across products and weeks. The magnitude of this effect is not significant in our estimation, and other estimates are very similar to what we shall present.
 
5
Marginally statistical significance (p value at 0.06) with only 36 instances (4 % of transactions) of price display.
 
6
Demand elasticity is 0.04 because more consumers switch to the IF class during the promotion, which is not benefited from the favorable disconfirmation between current price and PRIOR.
 
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Metadaten
Titel
Price Expectations and Purchase Decisions: Evidence from an Online Store Experiment
verfasst von
Sudipt Roy
Tat Chan
Amar Cheema
Publikationsdatum
01.06.2014
Verlag
Springer US
Erschienen in
Customer Needs and Solutions / Ausgabe 2/2014
Print ISSN: 2196-291X
Elektronische ISSN: 2196-2928
DOI
https://doi.org/10.1007/s40547-014-0010-3

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