Understanding Shopper Transaction Data
2016 ◽
Vol 58
(3)
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pp. 401-419
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This paper applies the D Duplication Coefficient from the Duplication of Purchase Law as a benchmark to help investigate patterns in simultaneous product category purchases. Shopper transaction data enable a deep analysis of what goes into shoppers' baskets; however, robust benchmarks are critical to see patterns in such rich data. We demonstrate the application of D Duplication Coefficient data to 30,000-plus UK and US supermarket transactions. The cross-category benchmarks allow meaningful deviations to be identified, isolating categories that are more or less intensely co-purchased than expected, which can then be used to guide decisions regarding store layout, prioritise in-store activations and plan product category promotions.
2019 ◽
Vol 34
(3)
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pp. 83-110
Keyword(s):
1973 ◽
Vol 31
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pp. 698-699
Keyword(s):
1972 ◽
Vol 30
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pp. 124-125
1972 ◽
Vol 30
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pp. 568-569
Keyword(s):
1990 ◽
Vol 48
(3)
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pp. 566-567
Keyword(s):
2002 ◽
Vol 82
(9)
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pp. 1691-1711
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2014 ◽
Vol 73
(3)
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pp. 135-141
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Keyword(s):
2006 ◽
Vol 22
(2)
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pp. 85-91
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