Persistence Modeling for Assessing Marketing Strategy Performance

The question of long-run market response lies at the heart of any marketing strategy that tries to create a sustainable competitive advantage for the firm or brand. A key challenge, however, is that only short-run results of marketing actions are readily observable. Persistence modeling addresses the problem of long-run market-response quantification by combining into one measure of “net long-run impact” the chain reaction of consumer response, firm feedback and competitor response that emerges following the initial marketing action. In this paper, we (i) summarize recent marketing-strategic insights that have been accumulated through various persistence modeling applications, (ii) provide an introduction to some of the most frequently used persistence modeling techniques, and (iii) identify some other strategic research questions where persistence modeling may prove to be particularly valuable

Do Promotions Benefit Manufacturers, Retailers or Both?

While there has been strong managerial and academic interest in price promotions, much of the focus has been on the impact of such promotions on category sales, brand sales and brand choice. In contrast, little is known about the long-run impact of price promotions on manufacturer and retailer revenues and margins, although both marketing researchers and practitioners consider this a priority area (Marketing Science Institute 2000). Do promotions generate additional revenue and for whom? Which brand, category and market conditions influence promotional benefits and their allocation across manufacturers and retailers? To answer these questions, we conduct a large-scale econometric investigation of the effects of price promotions on manufacturer revenues, retailer revenues and margins. This investigation proceeds in two steps. First, persistence modeling reveals the short- and long-run effects of price promotions on these performance measures. Second, weighted least-squares analysis shows to what extent brand and promotion policies, as well as market-structure and category characteristics, influence promotional impact. A first major finding of our paper is that price promotions do not have permanent monetary effects for either party. Second, in terms of the cumulative, over-time, promotional impact on their revenues, we find significant differences between the manufacturer and retailer. Price promotions have a predominantly positive impact on manufacturer revenues, but their effects on retailer revenues are mixed. Retailer (category) margins, in contrast, are typically reduced by price promotions. Even when accounting for cross-category and store-traffic effects, we still find evidence that price promotions are typically not beneficial to the retailer. Third, our results indicate that manufacturer revenue elasticities are higher for promotions of small-share brands and for frequently promoted brands. Moreover, they are higher for storable products and lower in categories with a high degree of brand proliferation. Retailer revenue elasticities, in turn, are higher for brands with frequent and shallow promotions, for storable products and in categories with a low extent of brand proliferation. As such, from a revenue-generating point of view, manufacturer and retailer interests are often aligned in terms of which categories and brands to promote. Finally, retailer margin elasticities are higher for promotions of small-share brands and for brands with infrequent and shallow promotions. Thus, the implications with respect to the frequency of promotions depend upon the performance measure the retailer chooses to emphasize. The paper discusses the managerial implications of our results for both manufacturers and retailers and suggests various avenues for future research

Time-Series Models in Marketing

Marketing data appear in a variety of forms. An often-seen form is time-series data, like sales per month, prices over the last few years, market shares per week. Time-series data can be summarized in time-series models. In this chapter we review a few of these, focusing in particular on domains that have received considerable attention in the marketing literature. These are (1) the use of persistence modelling and (2) the use of state space models

Do Promotions Benefit Manufacturers, Retailers or Both?

While there has been strong managerial and academic interest in price promotions, much of the focus has been on the impact of such promotions on category sales, brand sales and brand choice. In contrast, little is known about the long-run impact of price promotions on manufacturer and retailer revenues and margins, although both marketing researchers and practitioners consider this a priority area (Marketing Science Institute 2000). Do promotions generate additional revenue and for whom? Which brand, category and market conditions influence promotional benefits and their allocation across manufacturers and retailers? To answer these questions, we conduct a large-scale econometric investigation of the effects of price promotions on manufacturer revenues, retailer revenues and margins. This investigation proceeds in two steps. First, persistence modeling reveals the short- and long-run effects of price promotions on these performance measures. Second, weighted least-squares analysis shows to what extent brand and promotion policies, as well as market-structure and category characteristics, influence promotional impact. A first major finding of our paper is that price promotions do not have permanent monetary effects for either party. Second, in terms of the cumulative, over-time, promotional impact on their revenues, we find significant differences between the manufacturer and retailer. Price promotions have a predominantly positive impact on manufacturer revenues, but their effects on retailer revenues are mixed. Retailer (category) margins, in contrast, are typically reduced by price promotions. Even when accounting for cross-category and store-traffic effects, we still find evidence that price promotions are typically not beneficial to the retailer. Third, our results indicate that manufacturer revenue elasticities are higher for promotions of small-share brands and for frequently promoted brands. Moreover, they are higher for storable products and lower in categories with a high degree of brand proliferation. Retailer revenue elasticities, in turn, are higher for brands with frequent and shallow promotions, for storable products and in categories with a low extent of brand proliferation. As such, from a revenue-generating point of view, manufacturer and retailer interests are often aligned in terms of which categories and brands to promote. Finally, retailer margin elasticities are higher for promotions of small-share brands and for brands with infrequent and shallow promotions. Thus, the implications with respect to the frequency of promotions depend upon the performance measure the retailer chooses to emphasize. The paper discusses the managerial implications of our results for both manufacturers and retailers and suggests various avenues for future research

Measuring Short- and Long-run Promotional Effectiveness on Scanner Data Using Persistence Modeling

The use of price promotions to stimulate brand and firm performance is increasing. We discuss how (i) the availability of longer scanner data time series, and (ii) persistence modeling, have lead to greater insights into the dynamic effects of price promotions, as one can now quantify their immediate, short-run, and long-run effectiveness. We review recent methodological developments, and illustrate how the analysis of numerous brands and product categories has resulted in various empirical generalizations. Finally, we argue that persistence modeling should not only be applied to traditional performance metrics such as sales, but also to metrics such as firm value and customer equity

Competitive Reactions and the Cross-Sales Effects of Advertising and Promotion

How do competitors react to each other's price-promotion and advertising actions? How do these reactions influence the net sales impact we observe? We answer these questions by performing a large-scale empirical study of the short-run and long-run reactions to promotion and advertising shocks in over 400 consumer product categories, over a four-year time span. Competitive reaction can be passive, accommodating or retaliatory. We first develop a series of expectations on the type and intensity of reaction behavior, and on the moderators of this behavior. These expectations are assessed in two ways. First, vector-autoregressive models quantify the short-run and long-run effect of a promotion or advertising action on competitive sales and on competitive reactions. By cataloging the numerical results, we are able to formulate empirical generalizations of reaction behavior ("how do they react?"). Second, we estimate structural models of reaction intensity, in function of various market and competitive characteristics ("what are the drivers of reaction?"). Finally, by comparing our findings on reaction behavior with those on promotion and advertising effectiveness, we are able to evaluate competitive reaction behavior ("are they reacting as they should?"). A major finding is that competitive reaction is predominantly passive. When it is present, it is usually retaliatory in the same instrument, but accommodating or retaliatory in a different instrument. There are very few long-run consequences of any type of reaction behavior. We also report on several moderating effects that are in line with expectations, and that support the presence of a certain amount of rationality in competitive reaction behavior. The net impact of the over-time effects of advertising and price-promotion attacks, competitive reactions and the sales effectiveness of each, is that competitors' sales are generally not affected, and especially not in the long run. We weigh the evidence that this sales neutrality is "natural" (i.e., due to the nature of consumer response) versus "managed" (i.e., due to the vigilance and effectiveness of competitors), and conclude in favor of the former