True Marketing Optimization
A Marketswitch Paperruby
Abstract
席琳迪翁春晚Goals have changed for today’s enterpri marketing organizations. While once measured by the sheer amount of marketing activity they were generating, the groups are now expected to be profit centers, executing only tho activities that will truly maximize the profit returned to the corporation.
Marketing departments, in general, are not adequately prepared to function in this profit driven environment. The size of the potential t of offer-customer-channel combinations that they could execute against is mind-boggling. How is a marketer to decide what the optimal subt of combinations is that will maximize profit?
Marketswitch has developed a mathematical approach to solve this financial economic problem. This paper describes how Marketing Optimization can be ud to develop campaigns - bad on the interdependencies of individual customer characteristics, potential promotions or offers, available channels, and business constraints - that will deliver the maximum amount of profit back to the business, raising ROI’s to a previously unattainable level. It also describes how Marketing Optimization can be ud in coordination with other marketing technologies to maximize the effectiveness of overall marketing efforts.
Introduction
In recent years, traditional target marketing strategies have enabled marketers to organize data, discern data patterns relevant to consumer’s purchasing behavior, and automate the campaign execution process. While valuable, the traditional approaches fall short in the following ways:rna
•They limit you to one-dimensional techniques, such as personalization. The techniques look at each product in a silo, determining customer interest for each. But you market many products simultaneously. Additionally, each product typically has its own goals and constraints, such as minimal acceptable revenue or maximum budget that may conflict with one another. The issues ca
nnot be addresd one dimensionally if one eks to maximize productivity across the marketing mix.
•You have millions of customers, but you cannot treat them as individuals. The best you can do is treat them as a part of a larger grouping or gment, and make the leap of faith that all members of the group act the same way all of the time…and more importantly, that you would want to treat them the same way all of the time.
•You don’t have the ability to pick an overall campaign goal, such as profit, to maximize. The best you can do is make educated guess or follow general if-then rules to increa your profitability.
•Automation tools allow you to boost the level of marketing activity in your organization, but not necessarily the level of your results.
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Drawing from historical approaches ud in the management of the manufacturing supply chain, airline revenue yields, and financial investment risk asssment, we determined that mathematical optimization technology could be applied to address the limitations associated with traditional marketing techniques. In fact, if we could bring optimization technology to the “demand-side” of the supply and demand equation, we could fulfill a desire of all leading-edge business…a fully optimiz
ed Commerce Chain1 – with companies such as i2 and Manugistics optimizing the supply-side of the Commerce Chain and Marketswitch optimizing the demand-side.
Making optimization practical on the demand-side required pure mathematical breakthroughs since the marketing environment is characterized by unique complexities in scale, dimensionality, and time nsitivity (real-time customer interaction). Years of original rearch and development by Marketswitch produced the required advances. As a result of the efforts, true mathematical Marketing Optimization software is now available for enterpri marketing. This software can allocate marketing resources across multiple channels, business constraints and marketing scenarios to target the right customer with the right product through the right channel at the right time, all while maximizing the customer's financial return to your business.
1 A Commerce Chain is defined as the end to end process by which a company delivers products and rvices to its customers
Marketing Optimization - Benefit
The goal of any business is to maximize profit. In theory, maximizing profit is simple – simply achieve the full profit potential of each and every customer relationship. But with millions of customers, many different products and product lines, and multiple communication channels, how can you find the right t of customer-product-channel combinations that will maximize overall profitability while simultaneously satisfying all of your unique goals and constraints? There is only one solution to this complex problem - Optimization.
True mathematically-bad Marketing Optimization can be ud to answer questions such as:
•Should certain customers get one product offer through your call center and should others get a different product offer through e-mail such that your overall profit is maximized?
•Did the purcha made by the last customer on your web site achieve your overall profit goals on a specific product line, thereby affecting how to market to the next customer?coat
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pact of shadow•What is the maximum possible profitability of a multi-offer campaign with limited budget?
•What is the optimal mix of offers to nd to each customer so that the minimum number of sales for lected offers are met?
With Marketing Optimization software you can lect an overall goal, such as profit, and specify all of the constraints of your marketing campaign, such as budget, customer acquisition cost, or product specific volume requirements to name a few. The software then determines which customers should get which offer through which channel to ensure your overall business goals are met. You can also examine multiple "what-if" marketing scenarios prior to campaign launch to determine the appropriate cour of action to accomplish your business goals before committing marketing resources.
In today's marketing environment, with customers surfing to your web site and dialing into your call center, you need the ability to optimize your customer interactions on the fly. Marketing Optimization technology can operate in real-time, allowing your web site to rve up the right offer and your call center agent to reference the right promotion during each customer interaction to ensure your goals are achieved. It scales to cover communication channels such as e-mail, web advertising, wireless,
direct mail, and outbound telesales, giving you the breadth needed to optimize all of your customer touch points.
adapttoMarketing Optimization – In Practice
Marketing Optimization enhances and exploits all of the modeling, data warehousing, and automation systems you have in place today. In fact, since it fine-tunes your activities for maximum financial performance, it quickly increas the hard dollar returns from tho other Demand Chain investments. The figure below shows how Marketing Optimization fits into your existing Demand Chain.
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Optimization is THE ROI component of your marketing process. For example, assume your company is planning a number of different marketing campaigns that will take advantage of all of you
r communication options, including your Web site, call center, and wireless channels. Your data warehou provides the customer data required to target your campaigns. Your data modeling tools divide the customers into gments and determine each gment's propensity (likelihood) to respond to certain promotions. But there is a problem; your budget allows you to target only a limited portion of your customer ba, and you have infrastructure requirements that limit the u of one or more of your communication channels (e-mail, direct mail, telemarketing, wireless, and web advertiments). Additionally, your company has an overall profitability goal as well as specific business unit or product level revenue goals that need to be addresd. The software runs different “what-if” simulations, using data inputs from your modeling activities, to derive your campaign’s optimal marketing scenario to achieve your overall business goals. This optimization simulation can be fed into your campaign management program to build and launch the campaign. The result is a campaign that is mathematically proven to deliver optimal performance and maximize an economic function such as profit.
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