Catalog sales are among the fastest growing businesses in the U.S. The
most important asset a company in this industry has is its list of cu
stomers, called the house list. Building a house List is expensive, si
nce the response rate of names from rental lists is low. Cash manageme
nt therefore plays a central role in this capital intensive business,
This paper studies optimal mailing policies in the catalog sales indus
try when there is limited access to capital, We consider a stochastic
environment given by the random responses of customers and a dynamic e
volution of the house list. Given the size of real problems, it is imp
ossible to compute the optimal solutions. We therefore develop a heuri
stic based on the optimal solutions of simplified versions of the prob
lem. The performance of this heuristic is evaluated by comparing its o
utcome with an upper bound derived for the original problem. Computati
onal experiments show that it bt haves satisfactorily. The methodology
presented permits the evaluation of potential catalog Ventures thus p
roving useful to entrepreneurs in this industry.