Abstract: An optimal sample size for experiments targeting units having specific static criteria is determined, based on one or more iterations of a performed experiment. The sample size to use for subsequent experiments targeting units having the specific static criteria is calculated based on target effect of the performed experiment. Multiple iterations can be performed to refine the sample size. Each iteration uses the previously calculated sample size as a parameter. The calculated sample size is then used to determine an optimal treatment. Separate experiments using separate treatments are performed on separate group sets of the calculated sample size. For each separate performed experiment, a score is calculated for the corresponding specific treatment, taking into account actual effect size, statistical significance and homogeneity of effect. Depending upon the score, the given treatment can be accepted for production usage or discarded, or the experiment can be replicated to validate effect.

Abstract: An optimal sample size for experiments targeting units having specific static criteria is determined, based on one or more iterations of a performed experiment. The sample size to use for subsequent experiments targeting units having the specific static criteria is calculated based on target effect of the performed experiment. Multiple iterations can be performed to refine the sample size. Each iteration uses the previously calculated sample size as a parameter. The calculated sample size is then used to determine an optimal treatment. Separate experiments using separate treatments are performed on separate group sets of the calculated sample size. For each separate performed experiment, a score is calculated for the corresponding specific treatment, taking into account actual effect size, statistical significance and homogeneity of effect. Depending upon the score, the given treatment can be accepted for production usage or discarded, or the experiment can be replicated to validate effect.

Abstract: The invention relates to a method for purchasing a product by a consumer using a computing device. The method includes transmitting product information from a payee to the computing device, obtaining a purchase request for the product from the computing device, wherein the purchase request comprises a security identifier input by the consumer, inferring a consumer identity based on the purchase request and consumer information, authorizing the consumer to access the consumer information based on the purchase request and the consumer identity, wherein the consumer information is used to purchase the product, and generating a purchase authorization for the product and sending the purchase authorization to the payee based on the purchase request and the consumer information.

Abstract: A method for evaluating expansion of a business where the business is located in a first geographic area. The method includes receiving information about the business, querying a business information source and a demographic information source using the information, receiving data from the business information source and the demographic information source in response to the querying, processing the data using business expansion factors to obtain a rank order, where the data comprises a plurality of potential geographic areas for expanding the business, where the plurality of potential geographic areas are evaluated on the business expansion factors to determine a similarity to the first geographic area to obtain a rank order, and presenting, in the rank order, each of the plurality of potential geographic areas.

Abstract: A method for evaluating expansion of a business where the business is located in a first geographic area. The method includes receiving information about the business, querying a business information source and a demographic information source using the information, receiving data from the business information source and the demographic information source in response to the querying, processing the data using business expansion factors to obtain a rank order, where the data comprises a plurality of potential geographic areas for expanding the business, where the plurality of potential geographic areas are evaluated on the business expansion factors to determine a similarity to the first geographic area to obtain a rank order, and presenting, in the rank order, each of the plurality of potential geographic areas.