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  2. Marketing mix modeling - Wikipedia

    en.wikipedia.org/wiki/Marketing_mix_modeling

    Marketing Mix Modeling (MMM) is a forecasting methodology used to estimate the impact of various marketing tactic scenarios on product sales. MMMs use statistical models, such as multivariate regressions, and use sales and marketing time-series data. They are often used to optimize advertising mix and promotional tactics with respect to sales ...

  3. Bass diffusion model - Wikipedia

    en.wikipedia.org/wiki/Bass_diffusion_model

    The Bass model or Bass diffusion model was developed by Frank Bass. It consists of a simple differential equation that describes the process of how new products get adopted in a population. The model presents a rationale of how current adopters and potential adopters of a new product interact. The basic premise of the model is that adopters can ...

  4. Delphi method - Wikipedia

    en.wikipedia.org/wiki/Delphi_method

    Transhumanism. v. t. e. The Delphi method or Delphi technique (/ ˈdɛlfaɪ / DEL-fy; also known as Estimate-Talk-Estimate or ETE) is a structured communication technique or method, originally developed as a systematic, interactive forecasting method that relies on a panel of experts. [1][2][3][4][5] Delphi has been widely used for business ...

  5. Customer relationship management - Wikipedia

    en.wikipedia.org/wiki/Customer_relationship...

    Opportunity management, which helps the company to manage unpredictable growth and demand and implement a good forecasting model to integrate sales history with sales projections. [32] CRM systems that track and measure marketing campaigns over multiple networks, tracking customer analysis by customer clicks and sales.

  6. J. Scott Armstrong - Wikipedia

    en.wikipedia.org/wiki/J._Scott_Armstrong

    J. Scott Armstrong. John Scott Armstrong (March 26, 1937 – September 28, 2023 [1]) was an author, forecasting and marketing expert, [2][3][4] and an Emeritus Professor of Marketing at the Wharton School of the University of Pennsylvania. Armstrong's research and writing in forecasting promote the ideas that in order to maximize accuracy ...

  7. Product forecasting - Wikipedia

    en.wikipedia.org/wiki/Product_forecasting

    Product forecasting is the science of predicting the degree of success a new product will enjoy in the marketplace. To do this, the forecasting model must take into account such things as product awareness , distribution , price , fulfilling unmet needs and competitive alternatives.

  8. Marketing decision support system - Wikipedia

    en.wikipedia.org/wiki/Marketing_decision_support...

    A marketing decision support system (sometimes abbreviated MKDSS) is a decision support system for marketing activity. The system is used to help businesses explore different scenarios by manipulating already collected data from past events. It consists of information technology, marketing data, systems tools, and modeling capabilities that ...

  9. Bayesian structural time series - Wikipedia

    en.wikipedia.org/wiki/Bayesian_structural_time...

    Bayesian structural time series (BSTS) model is a statistical technique used for feature selection, time series forecasting, nowcasting, inferring causal impact and other applications. The model is designed to work with time series data. The model has also promising application in the field of analytical marketing. In particular, it can be used ...

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