BASKET ANALYSIS: A NEW WAY OF ANALYSING SCANNER DATA

Claes‐Robert Julander

33 citations0/0 files storedInternational Journal of Retail & Distribution Management

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Consumer Market Behavior and Pricing Consumer Behavior and Marketing Influence Consumer Retail Behavior Studies

Abstract

Explores the usefulness of capturing information about the shopper basket from computerized scanners, instead of only using data based on article numbers. Shopper baskets, as reflected by the receipt, are more akin to the consumer′s shopping problem and can be used to study shopping behaviour on a per shopper level. In this way individual shopper behaviour can be studied regarding short‐term effects of marketing share of shoppers instead of share of market in monetary units, the combination of items that shoppers put it their baskets, etc. The arguments for basket analysis are backed up by the empirical examples.

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References

1989Price-Induced Patterns of Competition 1987Estimating Brand Positioning Maps Using Supermarket Scanning Data 1988Implications of Market Structure for Elasticity Structure

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2008Modeling Joint Purchases with a Multivariate MNL Approach 2020Fundamental basket size patterns and their relation to retailer performance 2024Enhancing Multi-Channel Consumer Behavior Analysis: A Data-Driven Approach using the Optimized Apriori Algorithm 1995The Challenges of Scanner Data 2001Buying behavior study with basket analysis: pre-clustering with a Kohonen map 2006A Combined Approach for Segment-Specific Analysis of Market Basket Data

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