Early Prediction of Market Success for New Grocery Products

Abstract

This article describes novel methods of using consumer panel statistics to predict the success of new grocery products. Since about four out of five such products fail, even modest improvements in early identification of successes is important. The authors show how greater attention to successive waves of repeat buying and to intervals between purchases make significant improvement practical. They link these somewhat neglected statistics to a mathematical model of penetration.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 171 citations exist upstream.