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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.
Marketing research is the systematic gathering, recording, and analysis of qualitative and quantitative data about issues relating to marketing products and services. The goal is to identify and assess how changing elements of the marketing mix impacts customer behavior.
Examples include newspaper and magazine articles, TV and radio presentations, charitable contributions, speeches, issue advertising, and seminars. [ 1 ] [ 2 ] [ 4 ] Word of mouth is also a type of publicity, which transform from the person-to-person storytelling to social media influencers, or bloggers promotions today.
In particular, the 7 Cs inclusion of consumers in the marketing mix is criticized, since they are a target of marketing, while the other elements of the marketing mix are tactics. The 7 Cs also include numerous strategies for product development, distribution, and pricing, while assuming that consumers want two-way communications with companies.
While the concepts of Bayesian statistics are thought to date back to 1763, marketers' exposure to the concepts are relatively recent, dating from 1959. [2] Subsequently, many books [5] [6] [7] and articles [8] [9] have been written about the application of Bayesian statistics to marketing decision-making and market research.
Advertising adstock or advertising carry-over is the prolonged or lagged effect of advertising on consumer purchase behavior. Adstock is an important component of marketing-mix models. The term "adstock" was coined by Simon Broadbent. [1] Adstock is a model of how the response to advertising builds and decays in consumer markets.
Some ad tracking studies are conducted continuously and others are conducted at specific points in time (typically before the advertising appears in market, and then again after the advertising has been running for some period of time). The two approaches use different types of analyses, although both start by measuring advertising awareness.
A MKDSS is used to support the software vendors’ planning strategy for marketing products. It can help to identify advantageous levels of pricing, advertising spending, and advertising copy for the firm’s products. [4] This helps determine the firm's marketing mix for product software.