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For example, a soda bottle can have different packaging variations, flavors, nutritional values. It is possible to optimize a product by making minor adjustments. Typically, the goal is to make the product more desirable and to increase marketing metrics such as Purchase Intent, Believability, Frequency of Purchase, etc.
Assortment strategies are used by retailers in brick-and-mortar and ecommerce to decide on a daily basis how to allocate inventory to their stores as part of their merchandise planning processes. Such strategies are integral for retailers because they directly affect how their customers interact with their merchandise, and therefore, their brand.
Variable pricing strategy sums up the total cost of the variable characteristics associated in the production of the product. Examples of variable characteristics are: interest rates, location, date, and region of production. The sum total of the following characteristics is then included within the original price of the product during marketing.
Price Optimization, for example, involves constantly optimizing multiple variables such as price sensitivity, price ratios, and inventory to maximize revenues. A successful pricing strategy, supported by analytically based pricing tactics, can drastically improve a firm's profitability. [25]
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]).
Marketing mix modeling (MMM) is an analytical approach that uses historic information to quantify impact of marketing activities on sales. Example information that can be used are syndicated point-of-sale data (aggregated collection of product retail sales activity across a chosen set of parameters, like category of product or geographic market) and companies’ internal data.
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For example: Electrocomponents, a United Kingdom-based world's largest distributor of electronics and maintenance products, increased profits by £36 million by using inventory optimization to achieve higher service levels while reducing inventory. [20]