Store Brand Quality and Retailer’s Product Line Design

This study analyzes a retailer’s store brand quality decision in vertically differentiated product categories. We analyze a game theoretic model composed of one or two national brand manufacturers and a retailer, who strategically chooses the quality level(s) of its store brand(s) relative to the well-established national brand position(s) to maximize its category profit. Our analysis reveals that the nature of a retailer’s store brand quality positioning is quite different from the manufacturer’s national brand positioning decision, and that the best position for a store brand is not “as close to a national brand as possible” as previous studies suggest. Instead, the optimal quality position of each store brand is remarkably sensitive to the distribution of consumers’ willingness-to-pay. In particular, the relative proportions of quality sensitive consumers and price sensitive consumers determine the balance of three key strategic forces — the market expansion force, the retail margin force, and the consumer profitability force, leading to different optimal product line designs for store brands across different category environments. Interestingly, against multiple incumbent national brands, the retailer’s optimal product line design includes a store brand positioned at the highest quality level in the category only if most consumers are moderately quality conscious. We also analyze the implications of national brands’ brand equity for retailers’ store brand strategy.     

Effect of Store Brand Introduction on Channel Price Leadership: An Empirical Investigation

In this study, we conduct an empirical investigation of the impact of store brand introductions on the price leadership relations in a distribution channel between a retailer and national brand manufacturers. We analyze a multi-product category retail database from a major grocery chain, which captures both a period before and a period after the introduction of a store brand in each product category. By applying the time series approach to this data set, we show that store brand introductions frequently lead to price leadership changes, generally in a more favorable direction for the retailer than for the national brand manufacturer, evidenced by either the decay of the manufacturers’ price leadership or the rise of the retailer’s price leadership. However, such a change is not universal but tends to be concentrated among a certain quality tier of national brands, which is not always the low-tier, but sometimes the top-tier despite the low-price low-quality position of the store brand. The patterns detected in the data suggest that these changes are likely to reflect the retailer’s strategic effort to reshape the price leadership environment in a product category aided by the enhanced bargaining power and managerial sophistication that accompanied the store brand introductions.     

Managing retailer profitability—one customer at a time!

This study examines how customer lifetime value (CLV) can be computed at individual customer level in a retail setting to maximize profitability. The study finds that maximum positive impact to CLV occurs when the customer cross-purchases, shows multi-channel shopping behavior, stays longer with the firm, buys specific product categories and purchases more frequently with the firm. Interestingly, the CLV follows an inverted U relationship with increase in return of prior purchases. Other interesting findings include a surprisingly low correlation between customer loyalty and future profitability and low correlation between stores’ historic revenues and future profitability. Several implications are suggested for retailers to manage and maximize customer profitability as well as store profitability.     

A COMPARISON OF ACTUAL AND INTENDED CONSUMER BEHAVIOR IN RESPONSE TO RETAIL STOCKOUTS

Studies of consumer response to stockouts typically capture intended behavior. After a stockout experience, consumers are asked what they intend to do. In contrast, this research measured both intended and actual behavior. Consumers were interviewed twice; once immediately following the stockout experience to gauge intended behavior and a second time 30 days later to ask what they had actually done in response to the stockout. Accordingly, the goals of this research are to (1) compare consumer actual and intended behavior in response to stockouts and (2) examine product characteristics, consumer characteristics and situational variables that may explain the consumer's response. Key results suggest that indicated behavior is a good indicator of actual behavior in situations where the consumer intends to quit the search and a rather poor indicator when the consumer intends to delay the search. Finally, of the several product characteristics, consumer characteristics and situational variables examined, store loyalty, pre‐visit agenda and product uniqueness have shown most promise to help managers understand consumer actual and intended response to stockouts.