Abstract: A method for predicting specific mobile users for targeting advertisements, the said method comprising: selecting at least one subset of mobile users subscribing to number of mobile services; creating and initializing subscribers attribute list and subscriber prediction table, based on their demographic details; monitoring the response & behavioral pattern of the mobile users of the subset based on the advertisements sent randomly throughout the day; populating the attribute list and prediction table based on the response information received from the mobile users; formulating a prediction-delivery matrix to identify the preferences of the mobile users for serving advertisements based on the populated attribute list & prediction table; generating a preference information of the mobile users of the subset based on the formulated matrix; extrapolating the generated preference information to the rest of the mobile user subscribers; and mining the mobile users data based on the extrapolated preference inf