Abstract: A software as a service platform employing novel means and methods to do demographic and behavioral data collection on and analysis of human UI/UX interactions. By utilizing adaptive testing, adaptive tester selection, and persistent tester pools with verified demographic data and ongoing behavioral data collection via a wide range of manual and algorithmic methods, decomposing, recomposing, and delivering optimized UI or UX data sources, collecting, integrating, delivering, and analyzing demographic and behavioral data regarding human interaction with interactive user interfaces and experiences using manual, hybrid, or algorithmic methods such as machine learning algorithms or path-finding algorithms, the present invention provides a novel framework for the extraction of comprehensive, consistent, and dynamic insights into the demographic and behavioral interactions of humans with interactive digital media sources.

Abstract: A software as a service platform employing novel means and methods to do algorithmic generation, qualification, and ranking for potential sales leads targeting a wide range of products that fall under the category of human consumable nondurable goods. By utilizing a wide range of qualitative and quantitative product, sales, and purchaser data as well as manual, hybrid, or algorithmic methods to extract meaningful features from this data and classifiers based on a variety of predictive models such as statistical models, rulesets, clustering models, neural networks, bayesian models, support vector machines, decision trees, graphs, regression models, and many others, the present invention provides a novel framework for the generation, qualification, and ranking of potential sales leads for human consumable nondurable goods.

Abstract: A software as a service platform employing novel means and methods to do demographic and behavioral data collection on and analysis of human UI/UX interactions. By utilizing adaptive testing, adaptive tester selection, and persistent tester pools with verified demographic data and ongoing behavioral data collection via a wide range of manual and algorithmic methods, decomposing, recomposing, and delivering optimized UI or UX data sources, collecting, integrating, delivering, and analyzing demographic and behavioral data regarding human interaction with interactive user interfaces and experiences using manual, hybrid, or algorithmic methods such as machine learning algorithms or path-finding algorithms, the present invention provides a novel framework for the extraction of comprehensive, consistent, and dynamic insights into the demographic and behavioral interactions of humans with interactive digital media sources.