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.
