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We present an alternative and more flexible approach that maximizes user profile, all users utilize minimum resource. It does this while minimizing the usage of system resources. We devel-op an adaptive monitoring solution for Satisfy User Profiles (SUPs). Through formal analysis, we identify sufficient optimality conditions for SUP. Using real (RSS feeds) and synthetic traces, we empirically ana-lyze the behavior of SUP under different conditions. Our experiments show that we can achieve a high degree of satisfaction of user utility when the estima-tions of SUP closely estimate the real event stream, and has the potential to save a significant amount of system resources. We further show that SUP can ex-ploit feedback to improve user utility with only a moderate increase in resource utilization.