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The brand development index or BDI quantifies how well a brand performs in a market, compared with its average performance among all markets. [1] That is, it measures the relative sales strength of a brand within a specific market (e.g., the Pepsi brand among 10–50-year-olds). [2]
Marketing Creative: Even without a change in strategy, better creatives can improve results. Without a change in strategy, AFLAC was able to achieve stunning results with its introduction of the Duck campaign. With the introduction of this new creative concept, the company growth rate soared from 12% prior to the campaign to 28% following it.
Ansoff developed the Product-Market Growth Matrix to help firms recognize if there is any advantage to entering a market. The other three growth strategies in the Product-Market Growth Matrix are: Product development (existing markets, new products): McDonald's is always within the fast-food industry but frequently markets new burgers.
The category development index (CDI) measures the sales performance of a category of goods or services in a specific group, compared with its average performance among all consumers. [1] By definition, CDI measures the sales strength of a particular product category within a specific market (e.g., soft drinks in 10–50 year olds).
The Ansoff matrix is a strategic planning tool that provides a framework to help executives, senior managers, and marketers devise strategies for future business growth. [1] It is named after Russian American Igor Ansoff , an applied mathematician and business manager, who created the concept.
As a result of 'economies of scale' (a basic assumption of the BCG Matrix), it is assumed that these earnings will grow faster the higher the share. The exact measure is the brand's share relative to its largest competitor. Thus, if the brand had a share of 20 percent, and the largest competitor had the same, the ratio would be 1:1.
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.
For example, variables such as brand image, brand personality, brand attitude, brand preference are nodes within a network that describes the sources of brand-self congruity. In another example, the variables brand recognition and brand recall form a linked network that describes the consumer's brand awareness or brand knowledge. [43]