The New England Journal of Statistics in Data Science

Multivariate testing is a popular method to improve the effectiveness of digital marketing in industry. Online campaigns are often conducted across multiple platforms, such as desktops, tablets, smart phones, and smart watches. We propose minimum sliced aberration designs to accommodate online experiments with four platforms. This approach provides important insights into how different sets of design factors work differently across the four platforms, which can be used by industry for optimizing many forms of digital marketing. The effectiveness of the proposed approach is illustrated by an industrial email campaign with four platforms.

The supersaturated design is often used to discover important factors in an experiment with a large number of factors and a small number of runs. We propose a method for constructing supersaturated designs with small coherence. Such designs are useful for variable selection methods such as the Lasso. Examples are provided to illustrate the proposed method.