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Analysis of Sales Promotion Effects on Household Purchase Behavior

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The first decompositi<strong>on</strong> discussed assigns combined changes in purchase timing and<br />

brand choice to the change in time, providing a lower limit for the strength <str<strong>on</strong>g>of</str<strong>on</strong>g> the brand switch<br />

effect. The sec<strong>on</strong>d decompositi<strong>on</strong> assigns these combined changes to brand switching,<br />

providing an upper limit for the strength <str<strong>on</strong>g>of</str<strong>on</strong>g> the brand switch effect. The upper limits obtained<br />

are to a large extent in accordance with the elasticity based findings (74 percent <str<strong>on</strong>g>of</str<strong>on</strong>g> the effect<br />

<strong>on</strong> promoti<strong>on</strong>al sales was attributed to brand switching). The differences found between the<br />

elasticity based decompositi<strong>on</strong> and the unit-sales based decompositi<strong>on</strong> therefore do not seem<br />

to originate <strong>on</strong>ly from differences in approach. The assumpti<strong>on</strong>s made are also very important.<br />

Are accelerated brand switches due to a change in purchase timing, due to brand switching, or<br />

due to both?<br />

Finally, it is <str<strong>on</strong>g>of</str<strong>on</strong>g> interest to investigate which part <str<strong>on</strong>g>of</str<strong>on</strong>g> the total promoti<strong>on</strong>al unit sales is<br />

really incremental and what part would have been purchased anyway (baseline sales). For<br />

example, with respect to the overall effects <str<strong>on</strong>g>of</str<strong>on</strong>g> sales promoti<strong>on</strong>s, the total promoti<strong>on</strong>al unit<br />

sales equal 6559 units. The incremental promoti<strong>on</strong>al unit sales equal 5753 units. The baseline<br />

sales are equal to the difference, which is 806 units. Figure A8.2 c<strong>on</strong>tains the incremental<br />

versus baseline sales across the categories and separately for each product category (in<br />

percentages). In general, a promoti<strong>on</strong> leads to a large increase in unit sales, almost seven times<br />

as much units are purchased, varying across product categories from twice as much for potato<br />

chip promoti<strong>on</strong>s up to nine times as much for c<str<strong>on</strong>g>of</str<strong>on</strong>g>fee promoti<strong>on</strong>s. <str<strong>on</strong>g>Promoti<strong>on</strong></str<strong>on</strong>g>s therefore have<br />

large effects <strong>on</strong> unit sales, leading to large incremental current sales. But, a reas<strong>on</strong>able part <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

these current incremental unit sales are borrowed from the future (across the categories at<br />

most 34 percent, either borrowed in time (24 percent) or in quantity (10 percent)).<br />

8.6 C<strong>on</strong>clusi<strong>on</strong>s<br />

This chapter dealt with the sec<strong>on</strong>d sub-questi<strong>on</strong> raised in Chapter 1. Can promoti<strong>on</strong>al<br />

household purchase behavior be decomposed into the sales reacti<strong>on</strong> mechanisms and, if so,<br />

does this decompositi<strong>on</strong> differ across product categories? First <str<strong>on</strong>g>of</str<strong>on</strong>g> all, measures have been<br />

defined that measure the effect <str<strong>on</strong>g>of</str<strong>on</strong>g> promoti<strong>on</strong>s <strong>on</strong> household purchase behavior in an<br />

intertemporal and comprehensive way. Applicati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> those measures per and across product<br />

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