Practice Prize Paper—Marketing's Profit Impact: Quantifying Online and Off-line Funnel Progression
Published Online:30 Dec 2010https://doi.org/10.1287/mksc.1100.0612
References
- An empirical investigation of online consumer purchasing behavior. Comm. ACM (2003) 46(12):145–151Crossref, Google Scholar
- Interactive home shopping: Consumer, retailer, and manufacturer incentive to participate in electronic marketplaces. J. Marketing (1997) 61(3):38–53Crossref, Google Scholar
- Clicks and mortar: The effect of on-line activities on off-line sales. Marketing Lett. (2003) 14(1):21–32Crossref, Google Scholar
- Database Marketing: Analyzing and Managing Customers (2008) (Springer, Heidelberg, Germany) Crossref, Google Scholar
- Managing customer-initiated contacts with manufacturers: The impact on share of category requirements and word-of-mouth behavior. J. Marketing Res. (2001) 38(3):281–297Crossref, Google Scholar
- The emergence of market structure in new repeat-purchase categories: A dynamic approach and an empirical application. J. Marketing Res. (2000) 37(1):16–31Crossref, Google Scholar
- Competing on analytics. Harvard Bus. Rev. (2006) January):1–12Google Scholar
- Make better decisions. Harvard Bus. Rev. (2009) November):117–123Google Scholar
- Sustained spending and persistent response: A new look at long-term marketing profitability. J. Marketing Res. (1999) 36(4):397–412Crossref, Google Scholar
- How cannibalistic is the Internet channel? A study of the newspaper industry in the United Kingdom and the Netherlands. Internat. J. Res. Marketing (2002) 19(4):337–348Crossref, Google Scholar
- Applied Econometric Time Series (2004) (John Wiley & Sons, New York) Google Scholar
- Whither the click? How online advertising works. J. Advertising Res. (2009) 49(2):134–142Crossref, Google Scholar
- The impact of consumer internet experience on channel preference and usage intentions across the different stages of the buying process. J. Interactive Marketing (2007) 21(2):26–41Crossref, Google Scholar
- On the use of econometric models for policy simulation in marketing. J. Marketing Res. (2005) 42(1):1–14Crossref, Google Scholar
- Modeling customers' channel choice across different stages of the buying process. (2010) . Working paper, University of Groningen, Groningen, The NetherlandsGoogle Scholar
- An empirical analysis of search engine advertising: Sponsored search in electronic markets. Management Sci. (2009) 55(10):1605–1622Link, Google Scholar
- , Kerin R., O'Regan R. Allocating marketing resources. Marketing Mix Resource Allocation and Planning: New Perspectives and Practices (2008) (American Marketing Association, Chicago) 3–37Google Scholar
- Investigating causal relations by econometric models and cross-spectral methods. Econometrica (1969) 37(3):424–438Crossref, Google Scholar
- Generating website traffic. J. Advertising Res. (2002) 42(5):49–61Crossref, Google Scholar
- Cointegration analysis in the presence of structural breaks in the deterministic trend. Econometrics J. (2000) 3(2):216–249Crossref, Google Scholar
- How incorporating feedback mechanisms in a DSS affects DSS evaluations. Inform. Systems Res. (2009) 20(4):527–546Link, Google Scholar
- , Wierenga B. Marketing engineering: Models that connect with practice. Handbook of Marketing Decision Models (2008) (Springer Science Business Media, New York) 527–559Crossref, Google Scholar
- . Econometric policy evaluation: A critique. Carnegie-Rochester Conf. Public Policy (1976) 1(1):19–46Crossref, Google Scholar
- A hierarchical marketing communications model of online and offline media synergies. J. Interactive Marketing (2009) 23(4):288–299Crossref, Google Scholar
- Key issues in multichannel customer management: Current knowledge and future directions. J. Interactive Marketing (2009) 23(1):70–81Crossref, Google Scholar
- Challenges and opportunities in multichannel management. J. Service Res. (2006) 9(2):95–112Crossref, Google Scholar
- How dynamic consumer response, competitor response, company support and company inertia shape long-term marketing effectiveness. Marketing Sci. (2004) 23(4):596–610Link, Google Scholar
- The long-term effects of price promotions on category incidence, brand choice, and purchase quantity. J. Marketing Res. (2002) 39(4):421–439Crossref, Google Scholar
- When do price thresholds matter in retail categories? Marketing Sci. (2007) 26(1):83–100Link, Google Scholar
- Dashboards as a service: Why, what, how, and what research is needed? J. Service Res. (2009) 12(2):175–189Crossref, Google Scholar
- Generalized impulse response analysis in linear multivariate models. Econom. Lett. (1998) 58(1):17–29Crossref, Google Scholar
- From generic to branded: A model of spillover dynamics in paid search advertising. J. Marketing Res. (2011) . ForthcomingCrossref, Google Scholar
- A Checklist for Evaluating an Inbound and Outbound Multichannel Campaign Management Application (2008) (Report G00160776, Gartner, Stamford, CT) Google Scholar
- The growth of interactions and dialogs in interactive marketing. J. Interactive Marketing (2007) 21(2):2–4Crossref, Google Scholar
- Mind-set metrics in market response models: An integrative approach. J. Marketing Res. (2010) 47(4):672–684Crossref, Google Scholar
- Generalizations about ad effectiveness in markets. J. Advertising (2009) 49(2):240–245Crossref, Google Scholar
- Effects of word-of-mouth versus traditional marketing: Findings for an Internet social networking site. J. Marketing (2009) 73(5):90–102Crossref, Google Scholar
- How advertising works: What do we really know? J. Marketing (1999) 63(1):26–43Crossref, Google Scholar
- A practitioner's guide to lag-order selection for VAR impulse response analysis. Stud. Nonlinear Dynamics Econometrics (2005) 9(1). Article 2Google Scholar
- Wierenga B. The past, the present and the future of marketing decision models: Introduction to the handbook. Handbook of Marketing Decision Models (2008) (Springer Science Business Media, New York) 3–20Crossref, Google Scholar
- Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. J. Bus. Econom. Statist. (1992) 10(3):251–270Google Scholar

