Forecasting Models for Marketing Decisions

Name: Forecasting Models for Marketing Decisions
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Author: Emory University

Curso

Inglês

12 h

Fonte

De www.coursera.org

CONDIÇÕES

Individualizado
Acesso livre
Certificado pago

Mais informações

4 sequências
Intermediate Level

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Detalhes do curso

Programa de Estudos

Week 1 - Basics of Forecasting Models
This module will discuss how to identify the necessary components of a forecasting model based on patterns in the history data. You will also be able to evaluate the performance of a forecasting model using both in-sample and out-of-sample metrics.
Week 2 - Customer Analytics: Predicting Individual Customer Behavior
"Meaningful Marketing Insights," This content will be familiar for learners who completed the first course; please think of this portion of the class as a review.
Week 3 - Managing Customer Equity: Linking Customer Analytics to Customer Value
This module will discuss managing customer equity, acquisition, retention, & market value, and customer valuation. You will learn how to decompose customer value into its underlying components.
Week 4 - Marketing Mix Modeling
A common task in developing forecasting models is to use them to make decisions regarding the marketing mix activity. With a marketing mix model, organizations can assess the efficacy of different marketing actions. Included is a sample of data for a popular f...

Pré-requisito

Nenhum.

Instrutores

David Schweidel
Associate Professor of Marketing
Goizueta Business School

Editor

Emory University, located in Atlanta, Georgia, is one of the world's leading research universities. Its mission is to create, preserve, teach and apply knowledge in the service of humanity.

Plataforma

A Coursera é uma empresa digital que oferece um curso on-line massivo e aberto, fundado pelos professores de computação Andrew Ng e Daphne Koller Stanford University, localizado em Mountain View, Califórnia.

O Coursera trabalha com as melhores universidades e organizações para disponibilizar alguns dos seus cursos on-line e oferece cursos em várias disciplinas, incluindo: física, engenharia, humanidades, medicina, biologia, ciências sociais, matemática, negócios, ciência da computação, marketing digital, ciência de dados. e outros assuntos.Cours

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