Are marketing efforts able to affect long-term trends in sales or othe
r performance measures? Answering this question is essential for the c
reation of marketing strategies that deliver a sustainable competitive
advantage. This paper introduces persistence modeling to derive long-
term marketing effectiveness from time-series observations on sales an
d marketing expenditures. First, we use unit-root tests to determine w
hether sales are stable or evolving (trending) over time. If they are
evolving, we examine how strong this evolution is (univariate persiste
nce) and to what extent it can be related to marketing activity (multi
variate persistence). An empirical example on sales and media spending
for a chain of home-improvement stores reveals that some, but not all
, advertising has strong trend-setting effects on sales. We argue that
traditional modeling approaches would not pick up these effects and,
therefore, seriously underestimate the long-term effectiveness of adve
rtising. The paper concludes with an agenda for future empirical resea
rch on long-run marketing effectiveness.