Reconstructing systematic persistent impacts of promotional marketing with empirical nonlinear dynamics
Autoři:
Ray Huffaker aff001; Andrew Fearne aff002
Působiště autorů:
Department of Agricultural and Biological Engineering, University of Florida, Gainesville, Florida, United States of America
aff001; Norwich Business School, University of East Anglia, Norwich, England, United Kingdom
aff002
Vyšlo v časopise:
PLoS ONE 14(9)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0221167
Souhrn
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.
Klíčová slova:
Computer and information sciences – Dynamical systems – Physical sciences – Mathematics – Systems science – Nonlinear dynamics – Statistics – Statistical data – Physics – Thermodynamics – Entropy – Social sciences – Sociology – Communications – Marketing – Engineering and technology – Signal processing – Biology and life sciences – Organisms – Eukaryota – Animals – Vertebrates – Amniotes – Mammals – Leporids – Hares – Cats – Lynx
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