Written by Anna D. The empirical research on the impact of pricing strategies on sales volumes is scarce because of the challenges associated with obtaining actual sales data from retailers. This dissertation contributes to bridging this gap in academic knowledge by investigating the influence of pricing methods on the sales volume dynamics in three UK-based, online consumer electronics vendors. The key finding is that the companies experiencing an increase in their sales volumes over the past year followed the same pricing strategy, which combined competitive pricing, discounting and personalised pricing. For the firm employing the mix of competitive pricing, discounting and bundling, the sales volume increase was marginal, despite the overall positive dynamics of online electronics sales in the UK over the past year. These findings indicate that a pricing strategy can either allow a company to make use of its market opportunities, or prevent it from doing that.
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Empirical Asset Pricing via Machine Learning | The Review of Financial Studies | Oxford Academic
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Metrics details. Bibliometric and content description of health science academic literature and ad hoc analysis of grey literature on factors influencing pharmaceutical pricing on databases commonly accessed by healthcare professionals. Scoping study with no time limits performed in Medline, Scopus and Scielo, and relevant sites and databases for grey literature, using search terms with database-appropriate keywords.
At what stage of product life cycle these strategies work well? To what extent do you believe that adopting such strategies has helped the companies attract new customers? Does it work better for retailers or manufacturers? Is it more applicable for urban or rural areas? Delivering a high-quality product at a reasonable price is not enough anymore.