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  2. Marketing mix modeling - Wikipedia

    en.wikipedia.org/wiki/Marketing_mix_modeling

    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.

  3. Marketing mix - Wikipedia

    en.wikipedia.org/wiki/Marketing_mix

    Marketing mix. The marketing mix is the set of controllable elements or variables that a company uses to influence and meet the needs of its target customers in the most effective and efficient way possible. These variables are often grouped into four key components, often referred to as the "Four Ps of Marketing." These four P's are:

  4. Market segmentation - Wikipedia

    en.wikipedia.org/wiki/Market_segmentation

    Market segmentation is the process of dividing up mass markets into groups with similar needs and wants. [2] The rationale for market segmentation is that in order to achieve competitive advantage and superior performance, firms should: "(1) identify segments of industry demand, (2) target specific segments of demand, and (3) develop specific 'marketing mixes' for each targeted market segment ...

  5. Segmenting-targeting-positioning - Wikipedia

    en.wikipedia.org/wiki/Segmenting-Targeting...

    v. t. e. In marketing, segmenting, targeting and positioning ( STP) is a framework that implements market segmentation. [ 1] Market segmentation is a process, in which groups of buyers within a market are divided and profiled according to a range of variables, which determine the market characteristics and tendencies. [ 2]

  6. Mixed model - Wikipedia

    en.wikipedia.org/wiki/Mixed_model

    Regression analysis. A mixed model, mixed-effects model or mixed error-component model is a statistical model containing both fixed effects and random effects. [ 1][ 2] These models are useful in a wide variety of disciplines in the physical, biological and social sciences. They are particularly useful in settings where repeated measurements ...

  7. Multiple correspondence analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_correspondence...

    Multiple correspondence analysis. In statistics, multiple correspondence analysis ( MCA) is a data analysis technique for nominal categorical data, used to detect and represent underlying structures in a data set. It does this by representing data as points in a low-dimensional Euclidean space.

  8. Test market - Wikipedia

    en.wikipedia.org/wiki/Test_market

    Research. v. t. e. A test market, in the field of business and marketing, is a geographic region or demographic group used to gauge the viability of a product or service in the mass market prior to a wide scale roll-out. The criteria used to judge the acceptability of a test market region or group include: a population that is demographically ...

  9. Geomarketing - Wikipedia

    en.wikipedia.org/wiki/Geomarketing

    Index. Geographers. v. t. e. In marketing, geomarketing (also called marketing geography) is a discipline that uses geolocation ( geographic information) in the process of planning and implementation of marketing activities. [ 1] It can be used in any aspect of the marketing mix — the product, price, promotion, or place ( geo targeting ).