Katrina Lamb | September 29th, 2011
Filed under: Managers View | Tags: category management, complexity, quantitative methods in marketing, trade spend | No Comments »
Trade spend outlays continue to dominate the sales & marketing budgets of foodservice manufacturers. This is despite a persistently high level of dissatisfaction with the cumbersome administrative burdens of trade spend programs and the lack of measurable results. Manufacturers want a clearer understanding of how targeted trade promotions influence downstream demand, but instead they become enmeshed in unproductive administrative paperwork such as resolving and processing duplicate claims.
The current trade spend paradigm also does not work in the best interests of distributors. While they do benefit in the short term from the financial impact of the trade dollars they receive from their suppliers, distributors do not obtain insights from current trade spend practices that could help them more effectively grow demand across products and categories. Of more benefit would be product and assortment education from their suppliers, enabling them to identify tangible ways to tap into new sources of sales growth.
Category management, a standard practice in many retail sectors that is now gaining currency in foodservice, can be a way to attain this knowledge, use it to effectively drive growth for both manufacturers and distributors, and ultimately to phase out the unproductive aspects of the current trade spend paradigm.
Category management in foodservice can offer the following value proposition:
• A collaborative platform between manufacturers and distributors based on shared investment of time and resources, as opposed to the general mistrust that permeates trade spend relations
• Combining knowledge about products, customers and assortment from the manufacturers with transaction-specific insights about timing, location and volume from the distributors to create a holistic view of demand at the micromarket level of every product and every customer
• Advanced technology to facilitate in-depth analysis and predictive recommendations around all key demand levers e.g. pricing, promotions, assortment, and purchase timing
From “Pay to Play” to “Category Captain”
The common view today in foodservice is that trade dollars are for all intents and purposes a “pay to play” ante required for manufacturers to get their products through distribution channels into the establishments of restaurants and other foodservice operators. These trade dollars are the biggest line item expense after COGS on manufacturers’ income statements, and thus comprise a commensurately large revenue item for their distribution partners. While the conventional wisdom may be that the current system is too entrenched to change, the fact is that a well-executed collaborative category management program can be far more effective than traditional trade spend in identifying the best uses of promotional budgets and delivering on them. Here the manufacturer is not simply cutting a check for some loosely-defined trade campaign and hoping for the best, but instead is taking a more active role in educating, guiding and supporting the distribution partner to increase sales. The vehicle through which the manufacturer can take on this active role is that of category manager, also known as category captain.
In taking on the role of category captain the manufacturer is essentially investing its own time and resources into helping the distributor achieve stated performance objectives. Distributors face a significant challenge in improving category performance. They lack the in-house knowledge about products, customers, and assortment that can help match the right products and offers with the right customers. Manufacturers can supply this knowledge along with supporting tools, including engaging and informative product collateral, suggested product uses, recipes and so forth to help meet objectives such as: increasing demand among existing customers; identifying new customers; and improving sales turn with higher velocity products.
Scalable Category Management
When scaled widely across multiple product categories over time, this approach can ultimately prove to be a more sustainable form of revenue than traditional trade spend dollars. One important difference is that the results delivered by an integrated, data-driven category management program can be measured against quantitative performance targets. Unlike trade spend, where unsystematic and non-automated processes make any kind of ROI analysis problematic or outright impossible, category management puts hard numbers into the hands of decision makers and executives so that they can evaluate how effective the initiatives have been.
The advantages of category management do not just accrue to the distributors. Here again this approach offers up compelling advantages as compared to traditional trade spend. Manufacturers will gain more from their investment of resources into category management than they do from their funding of trade activities. They will have access to a downstream view of demand, supported by actual daily transaction data that has traditionally proven elusive. They will have a much better sense of the timing, quantity and logistical details of customer transactions – and they too will be able to quantify this value with performance measurement tools.
In the prevailing economic climate foodservice is likely to experience strong headwinds to achieving sustainable growth and profitability. Trade spend dollars – which account for about 18% of every sales dollar manufacturers generate – are a dead weight on an industry sector that cannot afford such waste. Replacing the current paradigm with a more efficient, data-driven collaboration model such as category management offers a potential path for industry players to improve their own profitability and that of their industry partners.
Katrina Lamb | June 5th, 2009
Filed under: Managers View, Modelers Mechanics | Tags: application of quantitative methods to marketing and sales problems, consumer goods, David Mayer, demand markets, empathy, Eric Beinhocker, Harvard Business Review, Herbert Greenberg, market awareness, marketing, quantitative methods, quantitative methods in marketing, sales excellence, The Origin of Wealth, What Makes a Great Salesperson | 1 Comment »
Think of the best salesperson you know: if you’re fortunate, perhaps someone in your company or, less happily, in a competitor’s firm. What are the qualities that make this person excel at the job of sales? In a classic Harvard Business Review article “What Makes a Great Salesperson” (July-August 1964) David Mayer and Herbert Greenberg likened a star salesperson to a heat-seeking missile: “Sensing what customers are feeling, they [the sales stars] are able to change pace, double back on the track, and make whatever creative modifications might be necessary to home in on the target and close the sale.” Whereas most of us have intuitive abilities to a greater or lesser extent, excellent salespeople lever this intuition with strong empathy skills (sensing what the customer’s needs are) and the relentless personal drive necessary to cross the finish line. If they could, managers would bottle this elusive elixir of talents and have all their salespeople drink it, every morning of every day. Read the rest of this entry »
Syeed Mansur | June 2nd, 2009
Filed under: Managers View | Tags: Abraham de Moivre, Central Limit Theorem, consumer behavior, econometrics, every day low pricing (edlp), Frequentist Probability, high-low pricing (hlp) strategy, historical market data, pinpointing a price that will maximize demand and revenue, pricing excellence, pricing manager, pricing under uncertainty, probabalistic methods, quantitative methods in marketing, revenue optimization, scientific pricing, uncertainty surrounding consumer behavior | 4 Comments »
One of my recent posts, “You Are Not At the Mercy of the Market…”, attracted a rather thought-provoking response posted directly to the blog. The crux of this response, and others sent directly to me, have all revolved around a similar theme: With so much uncertainty surrounding consumer behavior, words such as “pinpoint” or “optimize” should not be uttered when it comes to the decisions that pricing and marketing
managers must make. This is indeed a compelling sentiment, and has stirred much discussion amongst my colleagues in industry and in academia (our research organization collaborates closely with professors within the University of Chicago and Carnegie Mellon University). This discussion has taken on many twists and turns, which we hope to summarize in future posts. But, there is one particular question that has resonated throughout our discussions:
What are the implications of the words “pinpoint” and “optimal” when market behavior is so uncertain?
In other words, is it possible to find a single decision that will maximize the odds of earning a handsome payoff when the outcome of any decision is uncertain? In a rather extreme example, in the highly uncertain world of gambling, can I make some decisions that are clearly better than others in light of the uncertainty? Read the rest of this entry »
Joe Smiley | April 17th, 2009
Filed under: Managers View | Tags: competitive strategy, competitors price decisions, demand management, Economist Outlook, focus on customers, forget your competitors, maximize revenues, oprah, price optimization, pricing system, quantitative methods in marketing, revenue optimization, scientific micromarket management | No Comments »
Far too often, we have companies seeking our expertise to ascertain their competitors’ competitive strategy vis-à-vis their pricing, as if this will provide the magical insight they need to help them maximize their own revenues. My advice: save the detective work for Colombo and forget about your competitors! Your bottom line profits should not hinge upon a competitive response strategy that reacts to your competitors’ price moves, where you surrender control over your revenue structure and end up locking your firm into a race-to-the-bottom pricing with the rest of the industry. Escaping this destructive cycle lies in focusing relentlessly on your customers rather than your competitors. If you’ve read the news in the last 10 years, you may have realized that your customers are the most informed consumers in the history of the world! They are utilizing every available resource, from various news and industry websites to trade magazines to word-of-mouth gossip to Oprah to… well, even your price helps them determine their perceived value of your product. They are better informed about their purchases than ever before, but I wonder if you are learning as much about them and how they view your products?
Here’s an example to help you understand the magnitude of the problem your organization is facing: you sell thousands of products to tens of thousands of different customers each and every day, which is equivalent to millions (if not billions) of distinct customer-product interactions every day – impossible for even the most experienced sales managers to analyze individually. Now grab a pen and some paper and write this down: every sale is an interaction whose revenue can be uniquely maximized! Most companies fail to detect the subtle changes in their customers’ preferences over time, leaving significant profits on the table. And hence the reason for the detective work we’re often called to do; companies don’t realize they have all of the necessary data to maximize revenues right under their noses.
The solution here is Scientific Micromarket Management, which makes it possible for organizations to assess how each customer values your product and offer exactly that price every day in every market. Sure, we may be talking pennies and nickels here, but if you multiply these adjustments by the millions of potential customer-product combinations, then multiply these daily adjustments over the course of a year, and you will realize the significant amount of impact this will have on your bottom-line. Capitalizing on these billions of tiny demand shifts with a dynamic pricing system more targeted than human intuition enables companies to finally understand why every single customer buys what they buy from you and what they are willing to pay for it every time. This is far more comprehensive than any pricing strategy; this is a complete revenue optimization solution. Your customers are getting smarter about you, I think its time you got smarter about them.