Patent ID: 7058590

Claim:
A computerized method of processing test data that is relevant to specific behavior of visitors of at least one network accessible site comprising the steps of: receiving pre-test information related to determining an estimation of anticipated behavior of said visitors to said at least one network accessible site; monitoring actual behavior of said visitors upon accessing said at least one network accessible site; employing said pre-test information and a Bayesian estimation approach to said monitoring of said actual behavior so as to provide updated estimations of subsequent visitor behavior, said behavior being related to whether said visitors are converted while accessing said at least one network accessible site, said pre-test information and said updated estimations being related to determination of conversion rates; determining a required test sample size for said monitoring of said actual behavior in order to provide said updated estimations of subsequent visitor behavior, including adaptively adjusting said determination of said required test sample size on a basis of achieving a target confidence level regarding said updated estimations; and determining a post-test estimation of said subsequent visitor behavior, including selecting between using a systematic sampling approach and using a negative binomial sampling approach, said negative binomial sampling approach being selected in response to unavailability of said required test sample size for said monitoring; wherein an automatic process is defined by integration of said steps of receiving, monitoring and employing with said steps of determining a required test sample size and determining said post-test estimation, said post-test estimation being configured to provide a basis for determining interactions during subsequent visits to said at least one network accessible site.