We present empirical generalizations about conditions under which mark
eting variables evolve or remain stationary. We first define evolution
statistically and make the case why it is an important concept for in
creasing our understanding of long-run marketing effectiveness. We the
n briefly review ways in which evolution can be tested empirically fro
m readily available data. We present a database of over 400 prior anal
yses and catalog the relative incidence of stationarity versus evoluti
on in market performance and marketing spending. We find that evolutio
n is the dominant characteristic for sales and marketing-mix spending,
but that stationarity is the dominant characteristic for market share
. Thus we find strong support for the conjecture that many markets are
in a long-run equilibrium where the relative position of the players
is only temporarily disturbed by their respective marketing activities
. We assess the impact of a number of covariates on the likelihood of
finding stationarity/evolution in sales and market share, and discuss
the managerial implications of our findings.