Abstract: The present disclosure relates to methods of systems for analyzing online shopping behavior. Embodiments of the disclosure may receive an event indicating shopping activities of a shopper from a shopping channel and determine an action type associated with the event. A rule engine may classify the event into one of a plurality of shopping phases based on at least one of: classification rules, the action type, or a history of past events. Some embodiments may also calculate a raw score for the shopping phase base on at least one of: an existing number of events in that shopping phase or an event weight associated with the event. In addition, some embodiments may calculate a weighted score based on the raw score and a weighting factor associated with the shopping phase into which the event is classified and determine a target shopping phase based on the weighted score.