Customer equity, the asset value of customers, can be measured using different aggregate- and disaggregate-level approaches. The authors compare how customer equity is measured and maximized under various approaches. We find that, in the disaggregate-level approach, customer lifetime value is maximized by implementing customer-level strategies such as optimal resource allocation, purchase sequence analysis and balancing acquisition and retention spending. At the aggregate-level, improving the drivers of customer equity maximizes customer equity. A comparison of different aggregate approaches shows that, while an emphasis on retention is a common feature across approaches, conceptual differences in terms of accounting for existing customers and prospects, acquisition, and the projection period exist across the different approaches. The authors propose a hybrid approach, which addresses the issues and challenges in existing approaches and helps firms to measure and manage customer equity.

The phenomenon of cross-buying by consumers enables retailers to cross-sell their products and increase revenue contribution from existing customers. The effectiveness of cross-selling can be greatly improved by identifying the drivers of cross-buy and using them to target the right customers. In this study we identify exchange characteristics such as average interpurchase time, ratio of product returns, and focused buying, and product characteristics such as category of first purchase, as important drivers of cross-buy. The impact of marketing efforts of the firm on cross-buy is also identified. The results of the study have important implications for academicians in understanding what drives cross-buying as well as practitioners to help design more effective cross-selling strategies.