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Analysis of Sales Promotion Effects on Household Purchase Behavior

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to the same data. Instead <str<strong>on</strong>g>of</str<strong>on</strong>g> addressing the relati<strong>on</strong>ship between different c<strong>on</strong>structs,<br />

similarities between c<strong>on</strong>sumers were assessed. The authors examined whether there are<br />

segments <str<strong>on</strong>g>of</str<strong>on</strong>g> c<strong>on</strong>sumers c<strong>on</strong>sistently pr<strong>on</strong>e to deals across different sales promoti<strong>on</strong> types, or,<br />

given some c<strong>on</strong>ceptual differences across deal-types, segments existing at a more dealspecific<br />

level. Multi-item measures were used for eight deal-types across product classes.<br />

Cluster analysis was performed <strong>on</strong> the average item scores for the eight deal-type measures.<br />

The results showed evidence <str<strong>on</strong>g>of</str<strong>on</strong>g> a generalized deal pr<strong>on</strong>eness segment (ranging from 24% to<br />

49% <str<strong>on</strong>g>of</str<strong>on</strong>g> the sample). C<strong>on</strong>sumers within this segment are sensitive towards all different deal<br />

types incorporated in the study. Str<strong>on</strong>g support for the nomological validity <str<strong>on</strong>g>of</str<strong>on</strong>g> theses segmentbased<br />

findings was found using marketplace behavior data from <strong>on</strong>e single shopping trip<br />

(across product classes). In both studies, self-report data was used to draw c<strong>on</strong>clusi<strong>on</strong>s<br />

(marketplace behavior was used <strong>on</strong>ly for validati<strong>on</strong> purposes).<br />

Bawa et al. (1997) recognized the deal-type specific character <str<strong>on</strong>g>of</str<strong>on</strong>g> deal pr<strong>on</strong>eness and<br />

therefore focused <strong>on</strong> <strong>on</strong>e specific promoti<strong>on</strong>-type, coup<strong>on</strong>s. This is <strong>on</strong>e <str<strong>on</strong>g>of</str<strong>on</strong>g> the most <str<strong>on</strong>g>of</str<strong>on</strong>g> the<br />

most important promoti<strong>on</strong>al vehicles used today in the United States. They studied coup<strong>on</strong>s<br />

use by c<strong>on</strong>sidering the joint effects <str<strong>on</strong>g>of</str<strong>on</strong>g> coup<strong>on</strong> attractiveness and coup<strong>on</strong> pr<strong>on</strong>eness <strong>on</strong><br />

redempti<strong>on</strong> and estimated this at the product category level, taking varying coup<strong>on</strong><br />

redempti<strong>on</strong> behavior across categories into account. Resp<strong>on</strong>dents’ redempti<strong>on</strong> intenti<strong>on</strong>s with<br />

respect to coup<strong>on</strong>s for two grocery categories (c<str<strong>on</strong>g>of</str<strong>on</strong>g>fee and detergent) and two service<br />

categories (beauty sal<strong>on</strong>/barber shop and oil change for automobiles) were measured using<br />

questi<strong>on</strong>naires. Results underlined the importance <str<strong>on</strong>g>of</str<strong>on</strong>g> product category level estimati<strong>on</strong>. N<strong>on</strong>category<br />

specific coup<strong>on</strong> pr<strong>on</strong>eness measures have low predictive power and perform poor in<br />

explaining using coup<strong>on</strong>s in a specific category. One limitati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> this study was that the<br />

analyses were c<strong>on</strong>ducted <strong>on</strong> redempti<strong>on</strong> intenti<strong>on</strong>s rather than <strong>on</strong> redempti<strong>on</strong> behavior.<br />

There are many skeptics who believe that resp<strong>on</strong>ses to hypothetical scenarios (cf. the<br />

self-report data used by Lichtenstein et al. (1995), the redempti<strong>on</strong> intenti<strong>on</strong> data used by Bawa<br />

et al. (1997)) are quite unreliable (Hensher et al. 1988). Individuals’ stated preferences might<br />

not corresp<strong>on</strong>d closely to their actual preferences (Wardman 1988). People may not<br />

necessarily do what they say. It is known from other marketing research sources that people in<br />

the western world do tend to overestimate their resp<strong>on</strong>ses under experimental c<strong>on</strong>diti<strong>on</strong>s<br />

(Kroes and Sheld<strong>on</strong> 1988). Of course, focusing <strong>on</strong> actual marketplace purchase behavior also<br />

42

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