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Price Dynamics Unveiled: A Comparative Study on Pre-Sale, On-Sale, and Post-Sale Day Prices on Amazon

Mathias Walke et al.

Australasian Accounting Business and Finance Journal2025https://doi.org/10.14453/aabfj.v19i1.08article
AJG 1ABDC B
Weight
0.37

Abstract

This study investigates the authenticity of price reductions during sales events on Amazon by analysing the price dynamics of products before, during, and after the sale. The primary objective is to evaluate whether the advertised discounts genuinely translate into significant consumer savings. By comparing pre-sale prices with on-sale and post-sale day prices, the research aims to offer a macro-level perspective on the actual impact of these discounts. It calculates the percentage change in the aggregate price of products to reveal overarching trends in pricing strategies. Furthermore, the study delves into individual product pricing to identify instances of both price reductions and increases, uncovering variations in pricing tactics. This granular analysis highlights discrepancies between perceived and actual discounts, providing valuable insights into the effectiveness and transparency of Amazon's sales strategies. The findings enhance consumer awareness and contribute to the broader discourse on e-commerce pricing ethics and practices.

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https://doi.org/https://doi.org/10.14453/aabfj.v19i1.08

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@article{mathias2025,
  title        = {{Price Dynamics Unveiled: A Comparative Study on Pre-Sale, On-Sale, and Post-Sale Day Prices on Amazon}},
  author       = {Mathias Walke et al.},
  journal      = {Australasian Accounting Business and Finance Journal},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.14453/aabfj.v19i1.08},
}

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Price Dynamics Unveiled: A Comparative Study on Pre-Sale, On-Sale, and Post-Sale Day Prices on Amazon

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.