Abstract

An empirical question of long-standing interest is how price promotions affect a brand’s sale shares in the fast-moving consumer-goods market. We investigated this question with concurrent promotions and sales records of specialty beer brands pooled over Tesco stores in the UK. Most brands were continuously promoted, rendering infeasible a conventional approach of establishing impact against an off-promotion sales baseline, and arguing in favor of a dynamics approach. Moreover, promotion/sales records were volatile without easily-discernable regularity. Past work conventionally attributed volatility to the impact of exogenous random shocks on stable markets, and reasoned that promotions have only an ephemeral impact on sales shares in stationary mean-reverting stochastic markets, or a persistent freely-wandering impact in nonstationary markets. We applied new empirical methods from the applied sciences to uncover an overlooked alternative: ‘systematic persistence’ in which promotional impacts evolve systematically in an endogenously-unstable market governed by deterministic-nonlinear dynamics. We reconstructed real-world market dynamics from the Tesco dataset, and detected deterministic-nonlinear market dynamics. We used reconstructed market dynamics to identify a complex network of systematic interactions between promotions and sales shares among competing brands, and quantified/characterized the dynamics of these interactions. For the majority of weeks in the study, we found that: (1) A brand’s promotions drove down own sales shares (a possibility recognized in the literature), but ‘cannibalized’ sales shares of competing brands (perhaps explaining why brands were promoted despite a negative marginal impact on own sales shares); and (2) Competitive interactions between brands owned by the same multinational brewery differed from those with outside brands. In particular, brands owned by the same brewery enjoyed a ‘mutually-beneficial’ relationship in which an incremental increase in the sales share of one marginally increased the sales share of the other. Alternatively, the sales shares of brands owned by different breweries preyed on each other’s market shares.

Highlights

  • We investigate the dynamic impact of a stream of price promotions on a brand’s market share of sales in the fast-moving consumer-goods market

  • We applied a novel empirical approach—Nonlinear Time Series Analysis (NLTS)— to reconstruct real-world market dynamics concealed in volatile observed time-series records, and used this information to respond to key empirical questions raised in the literature regarding how price promotions and sales shares among competing brands systematically interact over time

  • We first tackled the essential preliminary question of whether these interactions are systematic in our dataset in the first place; in particular, whether the data conceal random interactions exogenously forced by linear-stochastic real-world market dynamics, or deterministic interactions endogenously forced by real-world nonlinear market dynamics

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Summary

Introduction

We investigate the dynamic impact of a stream of price promotions on a brand’s market share of sales in the fast-moving consumer-goods market. We might well expect promotions to have a positive impact on a brand’s sales share; otherwise, why would retailers invest in them? Promotions could cause consumers to downgrade their perceptions of brand quality, focus too heavily on price rather than the brand’s distinguishing qualities, or lower their price expectations to the promotional level. These positive and negative forces could operate simultaneously [1, 3]. The ambiguous net impact of price promotions on a brand’s sales share must be resolved empirically from available promotions and sales records, with theory confirmed brick-by-brick from detected empirical regularities across diverse cases [4]

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