Abstract: Systems and methods described herein retrieve data from a data store, the data comprising marketing data associated with a plurality of advertising channels disposed in a plurality of geographic units. The systems and methods pre-process the data to derive a pre-processed data set, and hierarchically cluster the pre-processed data set. The systems and methods further derive a reduced multicollinearity data set having one or more clusters based on the hierarchically clustering by reducing a distance metric among geographic units of the plurality of geographic units that are disposed inside the one or more clusters, and analyze the one or more clusters with a model to generate one or more visualizations used to increase an impression impact, increase a carryover, or a combination thereof, in at least one of the plurality of advertising channels.

Abstract: Techniques to operate an experiment (online) over a computer network comprised of computing devices. The experiment may consist of a series of tests on experiment variants of a software application running on the computing devices of which each variant refers to a particular application version or implementation. These techniques may be configured into hardware operative to run such tests over the computer network by selecting one group or multiple groups of computing devices. Other embodiments are described and claimed.