Exploiting the installed base using cross-merchandising and category destination programs

We investigate two ways to increase sales and customer loyalty by taking advantage of a store's installed base of current customers. We propose a classification of products into two types. Products of Type 1 are products for which consumers have a loyalty to a specific retailer and, as far as possible, always shop at that retailer for these products. The other products (Type 2) are not associated with any retailer and are bought at whichever retailer consumers happen to shop when they plan or remember to buy the product. With this in mind, we test the potential of two marketing tools to help retailers increase their share of sales of the Type 2 segment. Using a category destination program we show that one can successfully transform Type 2 into Type 1 products. Using cross-merchandising promotions, we show that one can increase the sales of Type 2 products thereby gaining a larger share of discretionary purchases than what one would receive from a straight random allocation. Both series of tests yielded significant increases in sales and profits and were deemed successful by the retailers who implemented them.     

An Empirical Analysis of the Impact of Promotional Discounts on Store Performance

The received wisdom, reflected in popular marketing textbooks, is that featuring deeply discounted items will generate additional store traffic for retailers that in turn will lead to increased sales and profits. However, there is surprisingly little systematic evidence about the impact of these deep discounts on aggregate store traffic, sales, and profits. In this paper, we study the effects of promotional discounts and their characteristics on various store performance metrics employing a store level dataset pooled over 55 weeks and 24 stores. Many findings of our study lend credence to the continued popularity of such promotions by retailers. We find that feature promotions build store traffic, especially when the categories being featured are high penetration, high frequency. Also, promotions of branded items are found to be more effective than promotions of unbranded items. Discounting on more items in a category leads to lower store margins suggesting that the cost of discounting a large proportion of items in a category may not be justified by the profits generated by the sale. Using the coefficients from our model estimates, various counterfactuals provide insights into strategic change in level of discounts across categories. We discuss several implications of our findings for retailers.     

Brand loyalty evolution and the impact of category characteristics

A common managerial belief indicates that brand loyalty declines over the years, with consumers becoming more heterogeneous in their choices. The earlier research investigating the phenomenon of brand loyalty decline is, however, inconclusive and does not offer an answer to the reasons behind brand loyalty evolution. In this study, we investigate brand loyalty evolution and explore the impact that a number of category characteristics have on driving brand loyalty evolution. We use Danish panel data across 54 categories over a period of 6 years (2006–2011). Our findings show that at the aggregate level, brand loyalty declines, but this evolution is category-specific, with only a small number of categories showing a significant decline. We further demonstrate that an increase in category penetration results in a negative impact on brand loyalty evolution, whereas an increase in the share of private label brands has a positive impact. We discuss the implications for theory and practice.

     

Identifying Sales Performance Gaps with Internal Benchmarking

This research investigates how retailers can benefit from identifying the sales growth potential of in-store salespeople in every product category. The proposed novel approach helps retailers develop an equitable evaluation of their sales force, using both observable and unobservable factors that affect sales. By extending stochastic frontier regression to a multivariate case, the resulting factor-analytic frontier formulation leverages the correlation pattern of sales across product categories and salespeople over time. A unique data set, from a franchise chain with 481 salespeople, operating in 35 stores and selling 11 related product categories, identifies a gap between observed category profits and an estimated profit frontier for each salesperson and category. This novel model also can benchmark each salesperson against all others across product categories while accounting for observable and unobservable factors. This approach has practical value, in that retailers can identify both top-performing salespeople and underperformers, who then might be matched to establish a positive learning environment that aligns top performers with proven sales expertise in a product category with peers who struggle with that category.     

Evaluating the impact of VAT-free promotion: the role of loyalty program membership and category characteristics

This study examines the impact of value-added tax (VAT)–free promotions on sales performance. VAT-free promotions are a recently adopted form of price promotions where consumers are exempted from paying the VAT amount across almost all products in the assortment during a limited number of days. They are typically organized once per year and surrounded by a large amount of media attention from the involved retailer. To test the effects of this promotion on store and category sales, and investigate the differences between loyalty program (LP) members and non-LP members, the authors use scanner data from a Dutch durable goods retailer across a range of categories. The results show that VAT-free promotions positively impact store performance. Moreover, the findings indicate that more non-LP members are attracted to the store and that they increase the amount they spend in the store. While LP members also spend more in the store, this increase in shopping basket size does not compensate for the significant drop in the number of LP members that visit the store, leading to an overall decrease in sales coming from LP members during VAT-free days. We furthermore find that the positive effect of VAT-free promotions for non-LP members (rather than LP members) generalizes across all investigated categories. Our results provide key insights for retailers and direct marketers with regard to the effectiveness of VAT-free promotions in order to strategically segment the customer base.

     

Generalizations regarding the growth and decline of manufacturer and store brands

Stimulating growth or staving off decline in market share are core objectives for brand managers, including retailers who now offer store brands (SBs). This study identifies how changes in brand penetration and repeat-purchase loyalty accompany changes in brand share. We examine 1093 changes in brand share over 63 packaged goods categories in the UK from 2003 to 2007, covering both growth and decline. Two measures of repeat purchase loyalty are used—annual purchase frequency (PF) and share of category requirements (SCR). Our results show that brand share growth is accompanied by greater change in penetration than in loyalty, at a ratio of approximately 3:1. This finding generalizes across brand type, loyalty measure, retailer SB or manufacturer brand (MB), category purchase frequency, category type, and initial brand share. However, while brand share growth is accompanied by stronger changes in SCR than PF for MBs; the reverse is the case for SBs. For MB decline, both penetration and SCR change are significant correlates. However for SBs, the decline in brand share happens predominantly in loyalty—more strongly in SCR, followed by PF. Therefore, both brand types need to focus on building penetration to grow. While MBs also need to prevent light buyers from lapsing, SBs need to pay more attention to retaining heavy buyers to avoid repertoire demotion.     

Accounting for heterogeneity and dynamics in the loyalty-price sensitivity relationship

Marketers have been interested in the relationship between brand loyalty and price sensitivity for many years and have examined whether loyalty reduces consumer price sensitivity. The results, to date, indicate that loyalty does indeed raise the price that consumers are willing to pay for a brand. Other than this broad finding, however, there has been little research in the literature regarding whether and how this relationship varies across consumers and product categories and, within consumers, over time. This is the issue that we investigate in this paper. Specifically, we examine whether the price sensitivity-loyalty relationship is heterogeneous and dynamic. We propose an approach wherein the price sensitivity parameter of a brand choice model is specified as a function of loyalty with three parameters. The first parameter of this function represents the maximum possible reduction in price sensitivity due to loyalty. The second parameter affects the type and shape of the relationship between price sensitivity and loyalty. In particular, depending on the value of this parameter, the relationship could be non-existent, follow a concave shape, indicating decreasing response to increases in loyalty, or be S-shaped to capture the case of increasing response initially followed by decreasing response subsequently. Finally, the third parameter captures the rate at which price sensitivity falls as loyalty increases.We use the proposed approach to investigate the relationship in four frequently purchased categories. In each category, we select a sample of households and calibrate the model on the choices of all the households in the sample. We next employ an Empirical Bayes approach to obtain household-level estimates of all the parameters. These parameters are then used to assign each household in each category to a no response or concave or S-shaped response groups. Within each of these three groups, we assign each household to one of four different response level and rate segments, that is, high response-high rate, high response-low rate, low response-high rate, and low response-low rate. Each of these segments differs in the response level, that is, the maximum reduction in price sensitivity as loyalty reaches a maximum—and the response rate, that is, how quickly price sensitivity falls with increases in loyalty.Following the assignment of each household to a segment in each category, we pool the households across all four categories and calibrate a membership function. This function explains households’ membership in different segments in terms of product category characteristics, household demographics, the household’s responses to price, display, and feature promotions and the evolution of loyalty of the household.Our findings suggest that the nature of the loyalty-price sensitivity relationship does vary across consumers as well as over time. Specifically, the concave response is more likely than the S-shaped response or the absence of a response. We find that the S-shaped response is not related to responsiveness to in-store promotions. It is, however, associated with a slower growth in loyalty to a brand as it is purchased. The concave response, on the other hand, is associated with responsiveness to feature promotions but is unrelated to how loyalty to brands evolves with their purchases.We also find that demographic characteristics are related to the behavior of the concave and S-shaped responses. Specifically, for the S-shaped response, household demographics are related to both the maximum level of the curve as well as its rate of growth. In particular, the curve grows faster with age and its maximum increases with the weekly working hours of the household. In the case of the concave response, high income and more working hours raise the maximum level that the curve achieves. Its rate of growth, however, is unaffected by demographics.We also provide several managerial implications for loyalty and promotional programs based on our findings. Specifically, our first finding—that the loyalty-price sensitivity relationship is dynamic—suggests that, rather than having promotional programs, where the value of the price promotion is fixed and some consumers are targeted with the promotion while others are not, managers should have an entire schedule of price promotions with each level of promotions targeting consumers at a different loyalty level.Our second finding that the nature of the loyalty-price sensitivity relationship is heterogeneous across consumers suggests that designing loyalty programs on the basis of crude classifications such as loyals and non-loyals is not appropriate. Instead, households that are identified as loyal, need to be further divided based on how the loyalty affects their price sensitivity. Promotional programs should then be based on the specific type of relationship that a household exhibits.The third finding that the reductions in price sensitivity to loyalty can exhibit an S-shaped or a concave pattern also has an interesting managerial implication. Specifically, given the differences between the two patterns in how long it might take a consumer to reach a point where s(he) is willing to purchase a brand due to loyalty rather than due to a price promotion, and hence be a profitable customer, it may be preferable for managers to invest more in consumers who exhibit a concave rather than an S-shaped response.Finally, our result that different categories may exhibit different patterns of the relationship between price sensitivity and loyalty implies that each category needs to be analyzed by itself for what the nature of the loyalty-price sensitivity relationship is likely to be so that the most appropriate program for that category can be developed.     

How category characteristics affect the number of store brands offered by the retailer: a model and empirical analysis

Our research examines why retailers offer, not one, but multiple store brands in some product categories. More specifically, we are interested in how certain product category characteristics affect the number of store brands. We model a product category consisting of two incumbent national brands that may differ in strength. The retailer may introduce one or two store brands depending on which maximizes category profits. Our analysis suggests that the retailer is likely to carry two store brands in categories where (i) the national brands are similar in strength; and (ii) the price sensitivity between the national brands is low. Interestingly, the conditions that support the introduction of more than one store brand are quite different than the conditions that would facilitate the introduction of additional national brands. We provide empirical evidence that support our model-based predictions.     

A study on promotion with strategic two-stage customized bundling

In order to enhance both purchase willingness and consumer satisfaction, firms may sell products in a customized bundling way, with which consumers are allowed to select their preferred products to form a bundle. However, such a way needs to be carried out with an efficient strategic tool. This study contributes to the literature by proposing a two-stage customized bundling strategy with the aims of maximizing the firm's profit and satisfying the consumers' demands. The proposed strategy may assist managers in enhancing consumer satisfaction and loyalty under consideration of consumer heterogeneity. Consumers can select one main product with the greatest utility from the main product category at the first stage, and then, at the second, consider the associations between the chosen main and possible add-on products in the add-on product category, and finally select an add-on product to form a customized bundle with the greatest overall utility. Pricing strategies are investigated and compared for the customized and other traditional bundling strategies. The results show that when consumers are highly sensitive in their preferences, the use of a customized bundling strategy would be more profitable. However, in an extreme case when the consumer's perceived value of the add-on product and product association are both high, the traditional individual sales strategy would earn more profits than the customized bundling strategy.     

Brand inequalities in the loyalty-effects of purchases

Choice models in marketing have generally included the effects of loyalty on individual choice behavior.Loyalty has been typically measured as proportion of purchases or as an exponentially smoothed index of past purchases. An underlying assumption of both measures is that all brands gain the same increase in loyalty with a purchase. However, such an assumption may not hold when the competing brands are not comparable. We propose a new exponential smoothing measure which incorporates brand-specific parameters for the loyalty effects of purchases. A choice model, calibrated on individual level data for the detergent category, is used to compare the proposed measure with its traditional version. This comparison reveals that the new approach improves both the fit and predictive performance of the choice model. The results also suggest that the loyalty effects of purchases are likely to be lower for brands which are purchased on price promotions and higher for expensive brands.     

忠诚计划及其有效顾客的识别与培育

本文通过忠诚计划对顾客行为的影响分析以及忠诚计划的预期利润分析，指出了忠诚计划实施成本与预期利润荻取的不确定性是忠诚计划屡遭失败的原因。而这种预期利润不确定性的根本原因在于，没有很好地对有效顾客进行识别。本文的研究结论是，只有通过对有效顾客的识别，培育有效顾客的忠诚，才是忠诚计划成功的关键所在。     

Media influences on consumption trends: Effects of the film Food,Inc. on organic food sales in the U.S.

In this paper, we empirically investigate the effect of Food, Inc. – an influential documentary film on the US food industry – on organic food sales. We use a novel dataset of Google search volume to measure the influence of the film. Organic food sales are measured using store-level data for three categories in 33 major US markets. For two out of the three studied categories – yogurt and peanut butter – we find that areas with more Google searches for the film experienced a greater increase in the share of organic sales subsequent to the film's release. The effect of the film is more pronounced for the yogurt category, which is closer to the farm and more relevant to animal welfare — one of the key issues featured in the film. The effects are economically significant: ceteris paribus, a one standard deviation increase in our Google search stock measure translates into a 0.66% increase in organic market share for the yogurt and a 0.15% increase for the peanut butter category. In addition, we provide a measure of the decay of the film's effect by deriving the 90% duration interval of the focal search stock variable. We find that, for both categories, the film's effect on organic shares faded within six months.     

Competitive advantage,private-label brands,and category profitability

Abstract

The purpose of this study was to investigate the influence of private-label resources possessed by a supermarket retailer. Our study examines whether or not private-label products can help in the overall enhancement of product category performance. We examine the performance of a supermarket retailer in the Northeast United States that operates over 100 stores and generates a total yearly sales volume in excess of $3 billion. Data of this nature is difficult to obtain for research purposes, and this proved to be very valuable. Data obtained from the internal financial database of the supermarket was used and generated from point-of-sale information. We then developed a research model from the literature review and used structural equation modelling to analyse the data. The findings of this study indicate that a change in category private-label sales penetration and category market share had little impact on category profitability. The major implication for retailers is the necessity for category managers to focus on all brands within their respective categories and not over-emphasise a private-label brand focus.     

Impact of sales Promotion's benefits on perceived value: Does product category moderate the results?

The purpose behind the development of this research article is to assess the impact of sales promotions benefits on consumer perceived value and examine the moderating effect of product categories on the relation between sales promotions, their benefits, and consumer perceived value. The study used a sample of 400 consumers from India and ‘Structure Equation Modelling’ technique is applied to evaluate the research assumption. Finally, the moderating effect of the product category is evaluated by utilizing ‘Multi-Group Analysis' technique. Research findings reveal that the product category moderates the consumer's perceived value for hedonic and utilitarian benefits of sales promotion tools. It is found that utilitarian benefits of sales promotion have more impact on consumer perceived value in the context of personal care product while hedonic benefits are having more impact on consumer perceived value in the context of food products. A sales promotion plan can be made more effective when it is hedonic benefit oriented in the case of food products and utilitarian benefit oriented in the case of personal care products. The findings of this research can be useful for marketers to develop an effective sales promotion strategy considering the category wise differential impact of sales promotions benefits.     

Price competition during and after promotions

We provide a framework for setting regular prices and using promotional discounts in a duopoly where long‐term promotional effects are present and the firms' pricing and promotional strategies are common knowledge (e.g., as in online markets). We show that at equilibrium, the two firms may not promote and instead adopt an Everyday Low Price (EDLP) strategy. Consumers' tendency to stockpile promoted products, the level of brand loyalty and product differentiation, and the possibility of a postpromotional sales increase critically influence regular prices, price discount rates, and profits. Under some conditions consumer stockpiling intensifies promotional competition and reduces firms' profits while the possibility of attracting new consumers reduces the need to heavily promote and ensures better profits. Managerial implications are discussed. Copyright © 2007 ASAC. Published by John Wiley & Sons, Ltd.     

When do loyalty programs work? The moderating role of design,retailer-strategy,and country characteristics

Many grocery retailers carry a loyalty program (LP). However, little is known under what conditions these programs are more or less effective. We provide a contingency framework that considers various design, retailer, and country characteristics that can moderate an LP's impact on a retailer's sales productivity. We test the framework across a large sample of 358 grocery banners from a broad cross-section of 27 western and eastern European countries. We find a positive effect of the more basic LP variant that offers direct and immediate rewards. This positive effect, however, disappears when retailers operate a more complex progressive-reward system and when they are part of a multivendor program. An LP's impact also differs between retailers and countries: it is lower when operated by discounters, and higher in countries that are more individualistic and long-term oriented, and where fewer competitors also carry a loyalty program.     

Cross channel effects of search engine advertising on brick & mortar retail sales: Meta analysis of large scale field experiments on Google.com

We investigate the cross channel effects of search engine advertising on Google.com on sales in brick and mortar retail stores. Obtaining causal and actionable estimates in this context is challenging: Brick and mortar store sales vary widely on a weekly basis; offline media dominate the marketing budget; search advertising and demand are contemporaneously correlated; and estimates have to be credible to overcome agency issues between the online and offline marketing groups. We report on a meta-analysis of a population of 15 independent field experiments, in which 13 well-known U.S. multi-channel retailers spent over $4 Million in incremental search advertising. In test markets category keywords were maintained in positions 1-3 for 76 product categories with no search advertising on these keywords in the control markets. Outcomes measured include sales in the advertised categories, total store sales and Return on Ad Spending. We estimate the average effect of each outcome for this population of experiments using a Hierarchical Bayesian (HB) model. The estimates from the HB model provide causal evidence that increasing search engine advertising on broad keywords on Google.com had a positive effect on sales in brick and mortar stores for the advertised categories for this population of retailers. There also was a positive effect on total store sales. Hence the increase in sales in the advertised categories was incremental to the retailer net of any sales borrowed from non-advertised categories. The total store sales increase was a meaningful improvement compared to the baseline sales growth rates. The average Return on Ad Spend (ROAS) is positive, but does not breakeven on average although several retailers achieved or exceeded break-even based only on brick and mortar sales. We examine the robustness of our findings to alternative assumptions about the data specific to this set of experiments. Our estimates suggest online and offline are linked markets, that media planners should account for the offline effects in the planning and execution of search advertising campaigns, and that these effects should be adjusted by category and retailer. Extensive replication and a unique research protocol ensure that our results are general and credible.     

Decomposing the sales promotion bump accounting for cross-category effects

Extant research on the decomposition of unit sales bumps due to price promotions considers these effects only within a single product category. This article introduces a framework that accommodates specific cross-category effects. Empirical results based on daily data measured at the item/SKU level show that the effects of promotions on sales in other categories are modest. Between-category complementary effects (20%) are, on average, substantially larger than between-category substitution effects (11%). Hence, a promotion of an item has an average net spin-off effect of (20 − 11 =) 9% of its own effect. The number of significant cross-category effects is low, which means that we expect that, most of the time, it is sufficient to look at within-category effects only. We also find within-category complementary effects, which implies that competitive items within the category may benefit from a promotion. We find small stockpiling effects (6%), modest cross-item effects (22%), and substantial category-expansion effects (72%). The cross-item effects are the result of cross-item substitution effects within the category (26%) and within-category complementary effects (4%). Approximately 15% (= 11% / 72%) of the category-expansion effect is due to between-category substitution effects of dependent categories.