Systems for learning and using one or more sub-population features associated with individuals of one or more sub-populations of a gross population and related methods therefor

11) A method being implemented via execution of computer instructions configured to run at one or more processors and configured to be stored at one or more non-transitory memory storage devices, the method comprising:

• identifying one or more sub-populations of case individuals from a gross population of case individuals, wherein identifying the one or more sub-populations of case individuals from the gross population of case individuals comprises:
• identifying a first sub-population of case individuals from the gross population of case individuals, wherein the one or more sub-populations of case individuals comprise the first sub-population of case individuals, case individuals of the first sub-population of case individuals are associated with at least one first sub-population feature, and identifying the first sub-population of case individuals from the gross population of case individuals comprises:
• identifying a first control sub-population of case individuals from the gross population of case individuals, wherein identifying the first control sub-population of case individuals from the gross population of case individuals comprises grouping together first case individuals randomly selected from case individuals of the gross population of case individuals to form the first control sub-population of case individuals, and the first case individuals are associated with the at least one first sub-population feature;
• identifying a first test sub-population of case individuals from the gross population of case individuals, wherein identifying the first test sub-population of case individuals from the gross population of case individuals comprises grouping together second case individuals randomly selected from the case individuals of the gross population of case individuals to form the first test sub-population of case individuals, the first case individuals are exclusive from the second case individuals, the second case individuals are associated with the at least one first sub-population feature, and the first case individuals and the second case individuals together comprise the case individuals of the first sub-population of case individuals;
• presenting first control content to case individuals of the first control sub-population, wherein the first control content is selected according to a first statistical model;
• measuring an average feedback metric of the case individuals of the first control sub-population provided in response to being presented the first control content;
• presenting first test content to case individuals of the first test sub-population, wherein the first test content is selected according to a second statistical model different than the first statistical model;
• measuring an average feedback metric of the case individuals of the first test sub-population provided in response to being presented the first test content;
• and
• determining that the average feedback metric of the case individuals of the first test sub-population exceeds the average feedback metric of the case individuals of the first control sub-population and that a probability value for a difference of the average feedback metric of the case individuals of the first test sub-population and the average feedback metric of the case individuals of the first control sub-population is less than a predetermined significance level value.

19) A system comprising:

• one or more processors;
• and
• one or more non-transitory memory storage devices storing computer instructions configured to run on the one or more processors and perform:
• identifying one or more sub-populations of case individuals from a gross population of case individuals, wherein identifying the one or more sub-populations of case individuals from the gross population of case individuals comprises:
• identifying a first sub-population of case individuals from the gross population of case individuals, wherein the one or more sub-populations of case individuals comprise the first sub-population of case individuals, case individuals of the first sub-population of case individuals are associated with at least one first sub-population feature, and identifying the first sub-population of case individuals from the gross population of case individuals comprises:
• identifying a first control sub-population of case individuals from the gross population of case individuals, wherein identifying the first control sub-population of case individuals from the gross population of case individuals comprises grouping together first case individuals randomly selected from case individuals of the gross population of case individuals to form the first control sub-population of case individuals, and the first case individuals are associated with the at least one first sub-population feature;
• identifying a first test sub-population of case individuals from the gross population of case individuals, wherein identifying the first test sub-population of case individuals from the gross population of case individuals comprises grouping together second case individuals randomly selected from the case individuals of the gross population of case individuals to form the first test sub-population of case individuals, the first case individuals are exclusive from the second case individuals, the second case individuals are associated with the at least one first sub-population feature, and the first case individuals and the second case individuals together comprise the case individuals of the first sub-population of case individuals;
• presenting first control content to case individuals of the first control sub-population, wherein the first control content is selected according to a first statistical model;
• measuring an average feedback metric of the case individuals of the first control sub-population provided in response to being presented the first control content;
• presenting first test content to case individuals of the first test sub-population, wherein the first test content is selected according to a second statistical model different than the first statistical model;
• measuring an average feedback metric of the case individuals of the first test sub-population provided in response to being presented the first test content;
• and
• determining that the average feedback metric of the case individuals of the first test sub-population exceeds the average feedback metric of the case individuals of the first control sub-population and that a probability value for a difference of the average feedback metric of the case individuals of the first test sub-population and the average feedback metric of the case individuals of the first control sub-population is less than a predetermined significance level value;
• and
• after identifying the one or more sub-populations of case individuals from the gross population of case individuals:
• identifying a first applied individual visiting a website, wherein identifying the first applied individual visiting the website comprises determining that the first applied individual is associated with the at least one first sub-population feature;
• and
• presenting a second version of the website to the first applied individual instead of a first version of the website in response to determining that the first applied individual is associated with the at least one first sub-population feature, wherein the first version of the website is selected according to the first statistical model and the second version of the website is selected according to the second statistical model.