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Price optimization utilizes data analysis to predict the behavior of potential buyers to different prices of a product or service. Depending on the type of methodology being implemented, the analysis may leverage survey data (e.g. such as in a conjoint pricing analysis [7]) or raw data (e.g. such as in a behavioral analysis leveraging 'big data' [8] [9]).
Pricing strategies and tactics vary from company to company, and also differ across countries, cultures, industries and over time, with the maturing of industries and markets and changes in wider economic conditions. [2] Pricing strategies determine the price companies set for their products. The price can be set to maximize profitability for ...
Determine who the competitors are. Determine who the customers are and what benefits they expect. Determine the key strengths – for example price, service, convenience, inventory, etc. Rank the key success factors by giving each one a weighting – The sum of all the weightings must add up to one.
Price premium (%) = [Brand A price ($) - Benchmark price ($)] / Benchmark price ($) [1] In calculating price premium, managers must first specify a benchmark price. Typically, the price of the brand in question will be included in this benchmark, and all prices in the benchmark will be for an equivalent volume of product (for example, price per ...
Apart from the concern over cost and time, another disadvantage would be differentiation hinders market entry. It is because successful differentiation would attract competitors to replicate, and once competitors implement price differentiation strategy, customers are likely to leave for a better offer in terms of the price.
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The main difference between price competition and non-price competition would be the traditional case of which price competition exists in homogenous products where products are very difficult to be differentiated and can only be produced in minimal forms. Such circumstances would result in firms competing with prices, leading to price wars ...
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