1. A computer-implemented method for identifying events of interest in web analytics data, comprising: storing web analytics data for a web page in a device, wherein the web analytics data comprises a plurality of prior time-value pairs, each time-value pair including a value of one of a plurality of attributes associated with the web page and a time associated with the value; collecting a new time-value pair for the particular attribute, the new time-value pair including a new value associated with the web page and a new time when the value was determined; estimating a predicted value for the attribute and associated error-variance at the new time for the predicted value by applying a forecasting model to the plurality of prior time-value pairs in respective subsets of the web analytics data; and tagging the collected new time-value pair if the value of the new time-value pair is outside the error variance of the predicted value of the forecasting model for the particular attribute.