Analysis of Optimal Pricing Strategies.

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dc.contributor.advisor Tolotti, Marco it_IT
dc.contributor.author Abbass, Syed Tafseer <1997> it_IT
dc.date.accessioned 2023-06-18 it_IT
dc.date.accessioned 2023-11-08T14:55:42Z
dc.date.issued 2023-07-17 it_IT
dc.identifier.uri http://hdl.handle.net/10579/24143
dc.description.abstract Pricing is a crucial aspect of a business strategy, as it directly impacts revenue and profit margins. Optimal pricing strategies are those that take into account consumer behavior and market conditions to set prices that achieve business goals. Understanding consumer behavior is crucial in designing optimal pricing strategies because pricing decisions can significantly affect consumers’ purchase decisions. There are various approaches to determining optimal prices, such as cost-plus pricing, value-based pricing, and demand-based pricing. (Kotler and Keller 2012) Choosing the right pricing strategy can be challenging, as it depends on various factors such as market competition, consumer behavior, and the unique characteristics of a business and its offerings. Therefore, companies often experiment with different pricing strategies and continuously analyze and adjust their pricing to ensure they remain optimal. (Nagle and Muller 2018) it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Syed Tafseer Abbass, 2023 it_IT
dc.title Analysis of Optimal Pricing Strategies. it_IT
dc.title.alternative The impact of herd behavior, social influence, and brand loyalty on consumer choices. it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Management it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Management it_IT
dc.description.academicyear 2022/2023_sessione estiva_10-luglio-23 it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 888395 it_IT
dc.subject.miur SECS-P/08 ECONOMIA E GESTIONE DELLE IMPRESE it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Syed Tafseer Abbass (888395@stud.unive.it), 2023-06-18 it_IT
dc.provenance.plagiarycheck None it_IT


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