Accounting for the long-term effects of a marketing contact

Edward C. Malthouse*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


Organizations that use data mining "scoring" models to estimate the expected revenue resulting from sending a customer some marketing contact such as a catalog, solicitation for a donation, or other offers are underestimating the value of the contact and under-investing in their customers. When a customer responds to the contact the organization will receive the revenue due to the order, which is estimated by the scoring model, but it also benefits because the customer has become a better customer and will thus be more responsive to future contacts. The paper proposes a correction that accounts for the incremental change in customer status and illustrates the correction on two data sets from different industries. In both cases we find that the magnitude of the correlation approximately equals that of the short-term return from the contact. The correction is highly correlated with short-term returns and so the correction has little effect on the rank ordering of the customers. Topics for future research are identified.

Original languageEnglish (US)
Pages (from-to)4935-4940
Number of pages6
JournalExpert Systems with Applications
Issue number7
StatePublished - Jul 2010


  • Customer lifetime value
  • Data mining
  • Direct marketing
  • Predictive scoring models

ASJC Scopus subject areas

  • General Engineering
  • Computer Science Applications
  • Artificial Intelligence


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