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    Can Marketing Lift

    Stock Prices?

    S U M M E R 2 0 1 1 V O L . 5 2 N O . 4

    R E P R I N T N U M B E R 5 2 4 0 5

    Intelligence

    A brief look at research findings that suggest that marketing

    strategies based on increasing customer lifetime value can have a

    positive impact on shareholder value and influence stock prices in

    a predictable fashion by V. Kumar and Denish Shah

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    24 MIT SLOAN MANAGEMENT REVIEWSUMMER 2011 SLOANREVIEW.MIT.EDU

    I N T E L L I G ENCE

    Traditional marketing practices are increasingly viewed with skepticism. In many organi-

    zations, marketers struggle to document the return on investment for marketing

    expenditures; as a result, the marketing function is poorly aligned with the strategic goals

    of the company, marketing has less influence in the boardroom and the marketing

    budget allocation is viewed as a questionable cost rather than a worthyinvestment.

    To negate such criticisms, marketers need to realign their role and redefine the scope of

    marketing so that it can directly relate to strategic outcomes for the company. One way toachieve this goal is through extensive application of predictive analytics, in both the for-

    mulation of marketing strategies and customer management. Along these lines, a study

    we conducted suggests that certain types of marketing efforts those developed using

    analytics to identify customers lifetime value to a company can create shareholder

    value and influence stock prices in a predictable fashion.

    We began our research by analyzing more than five years of customer information from

    two Fortune 1000 companies, one selling to businesses and the other selling directly to con-

    sumers. The customer databases of both companies contained rich information related to

    customer transactions, marketing communications and customer-level characteristics that

    could potentially influence the customer lifetime value of each customer to the company.

    However, neither of the two companies had employed the CLV metric, which is defined as

    the discounted net present value of expected future cash flows from a customer.

    As a result, one of our first steps with each of the two companies entailed developing a

    model to compute the lifetime value of that companys customers, using as much customer-

    level information as possible from the companys

    customer database. The lifetime value for each

    customer in this study was calculated as the net

    present value of the expected cash flows from that

    customer over the next three years. (Although the

    time horizon of three years may not reflect the

    lifetime duration of the customer, it captures

    the majority of the customers true lifetime value

    given the fact that the computation is based onthe discounted cash flow approach. As a result, it

    is a common practice to compute CLV at the indi-

    vidual customer level based on the expected cash

    flows over the next three years.) We then com-

    puted the sum of all customers CLV, which

    represented the net present value of expected fu-

    ture cash flow streams from existing customers,

    plus some estimates of projected discounted cash

    flow streams from future customers that the com-

    pany expected to acquire during that time.

    (The detailed results of our study, including

    computation details, were reported in the

    November 2009 issue of theJournal of Mar-

    keting. See Related Research.)

    We then developed a link function to re-

    late this sum of all the customers lifetimevalue to the market capitalization of the

    company, as indicated by the stock price. If

    customers are the fundamental drivers of

    cash flow for a business, the sum of the CLV

    metric should relate well with the businesss

    value as indicated by its stock price. In prac-

    tice, however, the relationship is weak at

    best, because the company valuation based

    on the stock price is risk-adjusted, but the

    customer valuation typically is not.

    In other words, the CLV model esti-

    mates the timing and value of future cash

    flows but does not account for the inherent

    risks associated with the future stream of

    [MARKETING]

    Can Marketing Lift Stock Prices?

    A study finds that certain marketing techniques can influence a companysstock market valuation if the techniques increase customer lifetime value.BY V. KUMAR AND DENISH SHAH

    http://www.sloanreview.mit.edu/http://www.sloanreview.mit.edu/
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    26 MIT SLOAN MANAGEMENT REVIEWSUMMER 2011 SLOANREVIEW.MIT.EDU

    I N T E L L I G ENCE

    relationship-building initiatives such as

    special rewards and shopping privileges.

    FashInc also differentiated its promotion

    strategies by offering High CLV customers

    unconditional incentives to purchase a newproduct category, while some Medium to

    Low CLV customers and all Negative CLV

    customers were offered such cross-buying

    incentives only contingent on spending a

    minimum of a certain amount. Both

    TechInc and FashInc redesigned their chan-

    nel strategy by offering special incentives to

    the High CLV and the Medium to Low CLV

    customers to shop from more than one

    channel, while Negative CLV customers

    were encouraged to interact only throughthe online channel for both purchases and

    customer service. Several other marketing

    strategies were similarly redesigned, differ-

    entiated and implemented based on the

    lifetime value of the customers involved.

    The differentiated marketing strategies

    were directed toward increasing the pro-

    jected lifetime value of the customers or

    lowering the cash-flow-related risks by re-

    ducing the volatility and vulnerability of

    cash flow streams from customers.

    We measured the net outcome in terms

    of the overall lift in the lifetime value of all

    customers of each company. The results in-

    dicated that using the CLV metric to allocate

    the marketing budget and differentiate

    marketing strategy helped both companies

    maximize their return on their marketing

    spending. In particular, both companiesHigh CLV customers showed the strongest

    percentage increase in lifetime value. Fail-

    ure to differentiate marketing budgets and

    strategies would have led to wasting mar-

    keting resources on Medium to Low and

    Negative CLV customers who had an inher-

    ently low potential for increased CLV.

    Then, we applied the link function to

    predict the lift in stock price (or market

    capitalization) of the company based on

    the increase in the lifetime value of its cus-tomers. We repeated this procedure to

    predict the stock price of the company for

    nine months from the time of implemen-

    tation of the marketing strategies. We then

    compared the predicted values with the ac-

    tual stock prices and found that during the

    nine-month observation period, the mar-

    keting strategy outcomes (as indicated by

    the increase in CLV) corresponded to the

    actual stock price movement for both

    companies within an error range of 12% to

    13%. An important implication of this re-

    sult was that the marketing department

    was actually able to quantify the increase

    in stock price based on the performance

    outcomes of marketing strategies.

    Furthermore, nine months after imple-

    menting the strategies to increase CLV, we

    found that while TechIncs stock had gone upby 33%, its top three competitors stock had

    increased by an average of 12% over the same

    period. Similarly, while FashIncs stock price

    had increased by 58%, the stock price of its

    top three competitors had risen only 15% on

    an average. (See Higher Customer Lifetime

    Value, Higher Stock Prices.) The stock price

    movement of both TechInc and FashInc also

    substantially outperformed the Standard &

    Poors 500 index (in terms of percentage in-

    creases) over the time period studied.In summary, implementation of market-

    ing strategies based on CLV enabled the

    marketing organization in each of the two

    companies studied not only to outperform

    the competition but also to create share-

    holder value. Conventional wisdom dictates

    that marketing is an art, that the marketing

    function is a cost center and that the mar-

    keter is a tactician primarily concerned with

    creative areas such as image and branding.

    In reality, the current business environment

    drives marketing to be more of a science

    than an art, the marketing function to be

    a critical profit center and the marketer to

    be a strategist capable of increasing the com-

    panys market value. The CLV framework

    we describe offers businesses the means to

    achieve this transformation successfully.

    V. Kumaris the Richard and Susan Lenny Dis-

    tinguished Chair, professor of marketing and

    executive director of the Center for Excel-

    lence in Brand and Customer Management at

    the J. Mack Robinson College of Business at

    Georgia State University in Atlanta, Georgia.

    Denish Shahis an assistant professor of mar-

    keting and the assistant director of the Center

    for Excellence in Brand and Customer Man-

    agement at the J. Mack Robinson College of

    Business. Comment on this article at http://

    sloanreview.mit.edu/x/52405, or contact the

    authors at [email protected].

    Reprint 52405.

    Copyright Massachusetts Institute of Technology,

    2011. All rights reserved.

    HIGHER CUSTOMER LIFETIME VALUE,HIGHER STOCK PRICES

    Nine months after implementing marketing strategies designed to increase

    customer lifetime value, the two companies studied had seen percentage

    increases in their stock price that were substantially greater than those

    averaged by their top competitors and by the Standard & Poors 500 index.

    Stock Price Increase

    Over Nine Months

    FashInc Average forTop Three

    Competitors

    TechInc Average forTop Three

    Competitors

    S&P 500Index

    58%

    15%

    33%

    12%17%

    Can Marketing Lift Stock Prices? (Continued from page 25)

    http://www.sloanreview.mit.edu/http://www.sloanreview.mit.edu/
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