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Analysis of Sales Promotion Effects on Household Purchase Behavior

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Table 7.1 c<strong>on</strong>tinued<br />

Variable Operati<strong>on</strong>alizati<strong>on</strong><br />

120<br />

HOUSEHOLD PURCHASE CHARACTERISTICS<br />

Store Loyalty 1. Number <str<strong>on</strong>g>of</str<strong>on</strong>g> different chains visited (-)<br />

2. Share <str<strong>on</strong>g>of</str<strong>on</strong>g> primary store in total FMCG expenditures<br />

(+) (quantity)<br />

3. Share <str<strong>on</strong>g>of</str<strong>on</strong>g> primary store in total FMCG expenditures<br />

4. (+) (m<strong>on</strong>ey)<br />

Basket Size Number <str<strong>on</strong>g>of</str<strong>on</strong>g> different items (brands) per shopping trip<br />

Shopping frequency Number <str<strong>on</strong>g>of</str<strong>on</strong>g> quarterly shopping trips in the primary store<br />

PROMOTION CHARACTERISTICS<br />

In-store promoti<strong>on</strong>s Display related promoti<strong>on</strong>s (D, DF, DP, DFP)<br />

Out-<str<strong>on</strong>g>of</str<strong>on</strong>g>-store promoti<strong>on</strong>s Feature related promoti<strong>on</strong>s (F, FP)<br />

X * Favorite-brand promoti<strong>on</strong><br />

X other Other promoti<strong>on</strong>(s) present during shopping trip<br />

X *other Other promoti<strong>on</strong>(s) present is for favorite brand<br />

7.3 Data Set<br />

Only promoti<strong>on</strong>al shopping trips (shopping trips during which there was promoti<strong>on</strong>al<br />

activity in the primary store within the six product categories) can be used to determine the<br />

drivers <str<strong>on</strong>g>of</str<strong>on</strong>g> promoti<strong>on</strong> resp<strong>on</strong>se. This useful set <str<strong>on</strong>g>of</str<strong>on</strong>g> data c<strong>on</strong>tains 9,858 records <strong>on</strong> shopping<br />

trips for 156 households (44 out <str<strong>on</strong>g>of</str<strong>on</strong>g> the 200 households could not be used because <str<strong>on</strong>g>of</str<strong>on</strong>g> too<br />

much missing informati<strong>on</strong>). During 4,886 shopping trips there was <strong>on</strong>ly <strong>on</strong>e type <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

promoti<strong>on</strong> within that product category, the so-called single-promoti<strong>on</strong> data. During the<br />

4972 other shopping trips, more types <str<strong>on</strong>g>of</str<strong>on</strong>g> promoti<strong>on</strong>s within the same category were<br />

present, the so-called multiple-promoti<strong>on</strong> data. During 3,301 <str<strong>on</strong>g>of</str<strong>on</strong>g> the 4,972 shopping trips,<br />

there were two different types <str<strong>on</strong>g>of</str<strong>on</strong>g> promoti<strong>on</strong>s present for different brands within the same<br />

category. During 1,236 shopping trips three different promoti<strong>on</strong> types were present, and

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