2018Journal of Advertising ResearchRequires access

How Limited Data Access Constrains Marketing-Mix Analytical Efforts

Gian M. Fulgoni

Open publisher page 5 citations

Abstract

Marketing-mix models fundamentally are designed to measure the impact on brand sales of each of the key elements of a brand's marketing mix. Broadly, marketing-mix modeling consists of statistical analyses, such as multivariate regressions, using sales and marketing time-series data to estimate the

About this research paper

What this paper is about

Marketing-mix models fundamentally are designed to measure the impact on brand sales of each of the key elements of a brand's marketing mix. Broadly, marketing-mix modeling consists of statistical analyses, such as multivariate regressions, using sales and marketing time-series data to estimate the

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Marketing-mix models fundamentally are designed to measure the impact on brand sales of each of the key elements of a brand's marketing mix. Broadly, marketing-mix modeling consists of statistical analyses, such as multivariate regressions, using sales and marketing time-series data to estimate the

Key concepts: Marketing mix, Marketing mix modeling, Marketing, Business, Measure (data warehouse), Return on marketing investment, Marketing research, Marketing strategy

Related papers

Back to paper searchBrowse research topicsOriginal source
How Limited Data Access Constrains Marketing-Mix Analytical Efforts — Research Paper | ScholarLens