Size of wallet estimation: Application of K-nearest neighbour and quantile regression

Autor: Aashish Jhamtani, Ritu Mehta, Sanjeet Singh
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: IIMB Management Review, Vol 33, Iss 3, Pp 184-190 (2021)
Druh dokumentu: article
ISSN: 0970-3896
DOI: 10.1016/j.iimb.2021.09.001
Popis: Size of wallet (SOW) estimation is an important problem to solve from a company's perspective. The total business volume conducted by the customer for a product category across firms is generally unobservable, while the volume of transactions conducted by the customer with the company is mostly accessible. This paper focuses on the estimation of SOW and the estimation of opportunity, which is the difference between the SOW and the actual transactional value of the business that a customer does with a company. K-nearest neighbour (KNN) and quantile regression (QR) are applied here to arrive at the estimations, and their performance is compared. Based on the SOW and opportunity estimates, a company can decide its target segment and design specific marketing strategies accordingly, thereby improving its profitability.
Databáze: Directory of Open Access Journals