15. A system comprising: one or more server computers coupled to a network; and one or more databases coupled to the one or more server computers; wherein the one or more server computers are configured to: analyze sample data to obtain targeting data for use in targeting electronic advertisements to electronic device users, wherein the targeting data comprises data relating to topics of interest to the electronic device users, wherein the sampling data is obtained by sampling one or more streams of electronic data, the electronic data comprising user communications data, wherein sampling the streams of electronic data comprises real-time sampling, sensing, and detection of user communications data comprising user-generated content data streams that are in transmission to, but not yet received by, intended recipients; based at least in part on the analyzing of the user-generated content data streams in the sample data, increase one or more sampling frequencies or rates during at least one period based on a determination that targeting data is more likely to be concentrated during the at least one period than during other periods, wherein the increasing of the one or more sampling frequencies or rates is determined by utilizing one or more analytic correlation applications in detecting patterns, and wherein the patterns can include time-based or frequency-based patterns associated with the user-generated content data streams; based at least in part on the targeting data obtained, select electronic advertisements for serving to targeted electronic device users; and serve the selected electronic advertisements to the targeted electronic device users, the serving including causing an advertisement serving system to initiate or modify an automated advertising campaign that includes the selected electronic advertisements.
15. A system comprising: one or more server computers coupled to a network; and one or more databases coupled to the one or more server computers; wherein the one or more server computers are configured to: analyze sample data to obtain targeting data for use in targeting electronic advertisements to electronic device users, wherein the targeting data comprises data relating to topics of interest to the electronic device users, wherein the sampling data is obtained by sampling one or more streams of electronic data, the electronic data comprising user communications data, wherein sampling the streams of electronic data comprises real-time sampling, sensing, and detection of user communications data comprising user-generated content data streams that are in transmission to, but not yet received by, intended recipients; based at least in part on the analyzing of the user-generated content data streams in the sample data, increase one or more sampling frequencies or rates during at least one period based on a determination that targeting data is more likely to be concentrated during the at least one period than during other periods, wherein the increasing of the one or more sampling frequencies or rates is determined by utilizing one or more analytic correlation applications in detecting patterns, and wherein the patterns can include time-based or frequency-based patterns associated with the user-generated content data streams; based at least in part on the targeting data obtained, select electronic advertisements for serving to targeted electronic device users; and serve the selected electronic advertisements to the targeted electronic device users, the serving including causing an advertisement serving system to initiate or modify an automated advertising campaign that includes the selected electronic advertisements. 16. The system of claim 15 , wherein the sampling comprises monitoring one or more streams of electronic data during transmission of the data.