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Analysis of Sales Promotion Effects on Household Purchase Behavior

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Ec<strong>on</strong>omic theory provides an explanati<strong>on</strong> for asymmetric brand switching. C<strong>on</strong>sumer wants to<br />

minimize costs <str<strong>on</strong>g>of</str<strong>on</strong>g> satisfying his or her demand for the product. By buying a brand at a lower<br />

price, the c<strong>on</strong>sumer can decrease purchase costs. Price sensitive c<strong>on</strong>sumers could decide to<br />

switch from a store brand to a nati<strong>on</strong>al brand, when the promoti<strong>on</strong>al price <str<strong>on</strong>g>of</str<strong>on</strong>g> the nati<strong>on</strong>al<br />

brand is lower than the price <str<strong>on</strong>g>of</str<strong>on</strong>g> the store brand. Other c<strong>on</strong>sumers, more quality oriented, could<br />

stick to their preferred nati<strong>on</strong>al brand.<br />

Gupta (1988) c<strong>on</strong>cluded that more than 84% <str<strong>on</strong>g>of</str<strong>on</strong>g> the sales increase due to promoti<strong>on</strong>s<br />

is accounted for by brand switching (a very small part <str<strong>on</strong>g>of</str<strong>on</strong>g> which may be switching between<br />

different sizes <str<strong>on</strong>g>of</str<strong>on</strong>g> brands). Gupta worked with grocery c<str<strong>on</strong>g>of</str<strong>on</strong>g>fee data. Chintagunta (1993) worked<br />

with yogurt data and the results from his study implied a percentage <str<strong>on</strong>g>of</str<strong>on</strong>g> 40% due to brand<br />

switching. Bucklin et al. (1998) also used yogurt data and they c<strong>on</strong>cluded that 58% <str<strong>on</strong>g>of</str<strong>on</strong>g> the<br />

sales increase was due to brand switching at the aggregate level. This suggests that sales<br />

promoti<strong>on</strong>s have a bigger impact <strong>on</strong> the brand choice decisi<strong>on</strong> for c<str<strong>on</strong>g>of</str<strong>on</strong>g>fee than for yogurt,<br />

perhaps due to package size or perishability. Bell et al. (1999) <str<strong>on</strong>g>of</str<strong>on</strong>g>fer a empirical generalizati<strong>on</strong><br />

<strong>on</strong> promoti<strong>on</strong>al resp<strong>on</strong>se. They c<strong>on</strong>cluded that brand switching varies systematically across<br />

product categories. Bucklin et al. (1998) also investigated whether there exists heterogeneity<br />

am<strong>on</strong>g household with regard to the sensitivity in brand switch behavior. The results showed<br />

that the intersegment variati<strong>on</strong> was substantial (brand switch percentages ranging from 38% to<br />

64%). The research discussed above shows that brand switching varies across households and<br />

across product categories.<br />

4.2.2 Store Switching<br />

Store switching is the analogue <str<strong>on</strong>g>of</str<strong>on</strong>g> brand switching, but instead <str<strong>on</strong>g>of</str<strong>on</strong>g> inducing a c<strong>on</strong>sumer to<br />

purchase a different brand, store switching means that a c<strong>on</strong>sumer is induced to shop at a<br />

different store. Evidence <strong>on</strong> store switching is less abundant than evidence <strong>on</strong> brand<br />

switching. This comes as no surprise, given the fact that store switching asks more effort from<br />

a c<strong>on</strong>sumer and from the data collector than brand switching. Store choice precedes the brand<br />

choice decisi<strong>on</strong> for most c<strong>on</strong>sumers, especially for purchasing FMCG, which are low-<br />

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