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Analysis of Sales Promotion Effects on Household Purchase Behavior

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4.3.4 Storability/Perishability<br />

Storable products facilitate stockpiling and therefore intertemporal purchase displacement.<br />

Narasimhan et al. (1996) reported that promoti<strong>on</strong>s get the highest resp<strong>on</strong>se for brands in<br />

easily stockpiled categories, especially due to purchase accelerati<strong>on</strong>. Raju (1992) c<strong>on</strong>cluded<br />

that bulkiness (volume, which is inversely related to storability) and perishability both have a<br />

negative impact <strong>on</strong> the variability in category sales. Bell et al. (1999) argued that storability<br />

and purchase accelerati<strong>on</strong> (both time and quantity) are positively related. They c<strong>on</strong>cluded that<br />

all refrigerated products had much higher proporti<strong>on</strong>s for the time effect than for the quantity<br />

effect and that all storable products showed the opposite pattern. Bucklin et al. (1998) argued<br />

that purchase quantity effects could be smaller for perishable product categories. It is<br />

therefore hypothesized that storability is positively related with promoti<strong>on</strong>al effects, mainly<br />

due to purchase accelerati<strong>on</strong> (H4). Perishability is negatively related with promoti<strong>on</strong>al effects<br />

(H5).<br />

4.3.5 Number <str<strong>on</strong>g>of</str<strong>on</strong>g> Brands<br />

Narasimhan et al. (1996) observed a negative relati<strong>on</strong>ship between number <str<strong>on</strong>g>of</str<strong>on</strong>g> brands and<br />

promoti<strong>on</strong>al elasticity, which they attributed to brand switching. The presence <str<strong>on</strong>g>of</str<strong>on</strong>g> many brands<br />

reflects broader product differentiati<strong>on</strong>, which, in turn, protects an individual brand from the<br />

enticement <str<strong>on</strong>g>of</str<strong>on</strong>g>fered by a competitor’s promoti<strong>on</strong>. Bawa et al. (1989), however, found that<br />

larger assortments do tend to generate higher trial for new products. Bell et al. (1999) also<br />

hypothesized that purchase accelerati<strong>on</strong> effects are positively related to number <str<strong>on</strong>g>of</str<strong>on</strong>g> brands<br />

within a category. We expect to find a positive relati<strong>on</strong>ship between number <str<strong>on</strong>g>of</str<strong>on</strong>g> brands and<br />

promoti<strong>on</strong>al effects (H6).<br />

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