Optimal acquisition and retention strategies in a duopoly model of competition

Abstract We propose an optimal customer relationship marketing policy in a duopolistic market, where each firm’s market share depends on the CRM decisions of its own and of its competitors. The evolution process of the number of customers served by each firm is governed by a differential equation in which customer acquisition and retention processes are considered. A differential game model is presented to determine the optimal acquisition and retention expenditures of players. We derive a Nash equilibrium of a duopolistic differential game using the Hamilton–Jacobi–Bellman equations. Our results can be summarized mainly by the following three points. First, the optimal acquisition and retention expenditure strategies depend on each firm’s marginal customer equity, but not on the market share or the number of customers. Second, in response to the variation of the firm’s parameters, if its acquisition effectiveness is greater than its retention effectiveness, the firm would take action by making the same investment decision as its rival’s; instead, if its acquisition effectiveness is lower than its retention effectiveness, its rival would take action by making the different investment decision from the firm’s. Last, besides a mature product market, we also consider a market with remaining potential. In this case, a firm’s marginal customer equity can be decomposed into two components: the marginal customer equity from its own and from its rival’s. We show that the firm’s optimal investments in retention and acquisition are both positively related with a weighted difference between two components of the marginal customer equity.

[1]  P. Verhoef Understanding the Effect of Customer Relationship Management Efforts on Customer Retention and Customer Share Development , 2003 .

[2]  G. Erickson,et al.  Offensive and defensive marketing: Closed-loop duopoly strategies , 1993 .

[3]  Gary M. Erickson,et al.  Transfer pricing in a dynamic marketing-operations interface , 2012, Eur. J. Oper. Res..

[4]  Agnieszka Wiszniewska-Matyszkiel On the terminal condition for the Bellman equation for dynamic optimization with an infinite horizon , 2011, Appl. Math. Lett..

[5]  Frank M. Bass,et al.  Impact of a Late Entrant on the Diffusion of a New Product/Service , 2000 .

[6]  Tsan-Ming Choi,et al.  Optimal Advertising and Pricing Strategies for Luxury Fashion Brands With Social Influences , 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[7]  Robert C. Blattberg,et al.  Manage marketing by the customer equity test. , 1996, Harvard business review.

[8]  Nada Nasr Bechwati,et al.  The allocation of promotion budget to maximize customer equity , 2001 .

[9]  Suresh P. Sethi,et al.  Retail Competition and Cooperative Advertising , 2010, Oper. Res. Lett..

[10]  Mihai Calciu,et al.  Numeric decision support to find optimal balance between customer acquisition and retention spending , 2008 .

[11]  F. Bass A new product growth model for consumer durables , 1976 .

[12]  Xiuli He,et al.  Cooperative Advertising and Pricing in a Dynamic Stochastic Supply Chain: Feedback Stackelberg Strategies , 2009 .

[13]  Gary M. Erickson,et al.  A differential game model of the marketing-operations interface , 2011, Eur. J. Oper. Res..

[14]  W. Reinartz,et al.  Balancing Acquisition and Retention Resources to Maximize Customer Profitability , 2005 .

[15]  W. Reinartz,et al.  The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration , 2003 .

[16]  Suresh P. Sethi,et al.  Optimal Control of an Oligopoly Model of Advertising , 2009 .

[17]  Shaun McQuitty,et al.  Offensive versus Defensive Marketing: What is the Optimal Spending Allocation? , 2011 .

[18]  Hsiu-Yuan Tsao,et al.  Budget allocation for customer acquisition and retention while balancing market share growth and customer equity , 2013 .

[19]  Yeliz Ekinci,et al.  Analysis of customer lifetime value and marketing expenditure decisions through a Markovian-based model , 2014, Eur. J. Oper. Res..

[20]  Katherine N. Lemon,et al.  Return on Marketing: Using Customer Equity to Focus Marketing Strategy , 2004 .

[21]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[22]  V. Mahajan,et al.  Innovation diffusion and new product growth models: A critical review and research directions , 2010 .

[23]  S. Sethi,et al.  Competitive Advertising Under Uncertainty: A Stochastic Differential Game Approach , 2004 .

[24]  J. Aaker,et al.  When Good Brands Do Bad , 2004 .

[25]  Pradeep Chintagunta,et al.  The Effect of Signal Quality and Contiguous Word of Mouth on Customer Acquisition for a Video-on-Demand Service , 2010, Mark. Sci..

[26]  Dina Mayzlin,et al.  Promotional Chat on the Internet , 2006 .

[27]  Pradeep K. Chintagunta,et al.  The Effect of Banner Advertising on Internet Purchasing , 2006 .

[28]  M. Sarvary,et al.  Network Effects and Personal Influences: The Diffusion of an Online Social Network , 2011 .

[29]  Yogesh V. Joshi,et al.  Research Note - How Much Should You Invest in Each Customer Relationship? A Competitive Strategic Approach , 2009, Mark. Sci..

[30]  Vardit Landsman,et al.  The diffusion of a new service: Combining service consideration and brand choice , 2010 .

[31]  Jonathan Wareham,et al.  Wireless Diffusion and Mobile Computing : Implications for the Digital Divide , 2004, ECIS.

[32]  Denzil G. Fiebig,et al.  Modelling the development of supply-restricted telecommunications markets , 2001 .

[33]  Jian Huang,et al.  Recent developments in dynamic advertising research , 2012, Eur. J. Oper. Res..

[34]  Simon Pierre Sigué,et al.  Defensive, Offensive, and Generic Advertising in a Lanchester Model with Market Growth , 2015, Dyn. Games Appl..

[35]  V. Mahajan,et al.  Innovation Diffusion in the Presence of Supply Restrictions , 1991 .

[36]  Georges Zaccour,et al.  Optimal Marketing Strategies for the Acquisition and Retention of Service Subscribers , 2014, Manag. Sci..

[37]  Jie Zhang,et al.  Optimal Budget Allocation Across Search Advertising Markets , 2015, INFORMS J. Comput..

[38]  P. Verhoef,et al.  Marketing Communication Drivers of Adoption Timing of a New E-Service among Existing Customers , 2007 .

[39]  Phillip E. Pfeifer,et al.  The optimal ratio of acquisition and retention costs , 2005 .

[40]  E. Dockner,et al.  Differential Games in Economics and Management Science , 2001 .

[41]  N. Meade,et al.  Modelling and forecasting the diffusion of innovation – A 25-year review , 2006 .

[42]  Eitan Muller,et al.  The Diffusion of Services , 2009 .

[43]  B. Libai,et al.  Social Effects on Customer Retention , 2011 .