Abstract
Measuring satisfaction performances of different users on multi-business model problem implies to take into account that some users may have a small probability of success but converge fast whereas others may have a larger probability of success but be slower. We have proposed a new architecture based on a Performance Indicators by Satisfaction Strategy (PISS) technique, to improve marketing user satisfaction environments and used PI's for integrity measures and providing deferent US performance relevant to deferent perspectives which will enrich the cross analysis environment. In this paper, we present US Process Classification Framework (USPCF) which is a methodology to define User Satisfaction (US) for a product in the E-marketing environment using Key Performance Indicators (KPI). Web-based e-Marketing applications with very diverse customers fail or fuzzy because these systems fuzzy to satisfy various needs. We present a new method, which provides US performance measurements and multi perspective outcomes that depend on the integrity reasoning between the users and company rather than the user or company point of view.
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