haenlein@gmail.com
haenlein@escpeurope.eu
Prior to his academic career, Dr. Haenlein has
worked five years as a strategy consultant for Bain & Company in
Germany, France and the United Kingdom. Since then he has continued
to support a large number of national and international firms in
developing their marketing and customer relationship management
(CRM) strategy as an independent consultant.
Michael Haenlein is specialized in questions of customer insights and segmentation, customer loyalty and marketing return-on-investment. His industry experience include telecommunications, financial services, technology and private equity.
Customer lifetime value (CLV) or the
discounted future profit that companies can expect from a client
relationship, is a key element in any customer relationship
management (CRM) strategy. Only a profound understanding of CLV and its
drivers (i.e., size of wallet, share of wallet, cost to serve,
customer lifetime duration and customer acquisition cost), gives
firms the necessary information to craft profitable customer
relationships. Recent advances in statistical modeling have made it
possible to predict future transaction volume, an essential input in
any CLV calculation, with remarkable degrees of accuracy. This
allows firms to spot customers who are particularly financially
attractive, not only due to their past but also given their expected
future purchase behavior.
In many industry sectors, the path to
profitable growth goes through the development of long-term customer
relationships. Yet, not all customers are worth to be retained and
while in some cases loyalty is associated with substantial financial
benefits, this is not necessarily true in other situations. By using
advanced statistical techniques, customized to specific business
models and industry sectors, it is possible to identify which
customers should be retained, when and how often they should be
contacted to generate optimal levels of customer loyalty and which
client relationships should be terminated sooner rather than later.
This allows companies to manage customer loyalty strategically and
individually, without necessarily having to treat every customer as
a king.
Marketing Return-on-Investment
Choosing between the implementation of
different marketing actions is part of the day-to-day business of
every executive. Yet comparing the expected return-on-investment
(ROI) of different strategic initiatives is far from trivial,
especially in cases where they relate to different steps of the
customer experience. Using a combination of data stemming from
customer surveys and external sources and by applying sophisticated
statistical models and advanced (agent-based) simulations, it is
nowadays possible to estimate the expected ROI of a given marketing
action prior to its implementation. This allows to make a rational
and justifiable choice between competing initiatives which is
particularly important in difficult economic times where
cross-functional competition for budget tends to get more intense.