Inference of ICF implosion core mix using experimental dataand theoretical mix modeling

Modeling Marketing Mix

The marketing mix refers to variables that a marketing manager can control to influence a brand’s sales or market share. Traditionally, these variables are summarized as the four Ps of marketing: product, price, promotion, and place (i.e., distribution; McCarthy, 1996). Product refers to aspects such as the firm’s portfolio of products, the newness of those products, their differentiation from ...

Progress in Mix Modeling

Geo-level Bayesian Hierarchical Media Mix Modeling

Media mix modeling is a statistical analysis on historical data to measure the return on investment (ROI) on advertising and other marketing activities. Current practice usually utilizes data aggregated at a national level, which often suffers from small sample size and insufficient variation in the media spend. When sub-national data is available, we propose a geo-level Bayesian hierarchical m...

Challenges And Opportunities In Media Mix Modeling

Advertisers have a need to understand the effectiveness of their media spend in driving sales in order to optimize budget allocations. Media mix models are a common and widely used approach for doing so. We outline the various challenges such models encounter in consistently providing valid answers to the advertiser’s questions on media effectiveness. We also discusses opportunities for improve...

Mix-distribution modeling for overcomplete denoising

Localized or windowed data denoising based on linear transforms equipped with some thresholding operator is a usual approach in modern signal and image processing. With overlapping windows, techniques of this kind can be interpreted as overcomplete (redundant) data transforms (representations). In the simplest formulation, the Þnal estimates for points belonging to multiple overlapping windows ...