The state of marketing analytics in research and practice

This paper presents a systematic review of marketing research on the burgeoning new area of “marketing analytics” and considers the importance of marketing analytics for marketing research and practice. This article contributes to the marketing literature with a systematic review of studies and findings on marketing analytics, which allow for further recommendations. We identify the central themes and concepts related to marketing analytics present in marketing research and provide a comparison between the focus of marketing research, practice, and academics regarding this topic. The study also provides practitioners with a summary of the current findings and a more natural way to translate and apply theoretical findings in practice. Academics can also use these results in the classroom to promote and demonstrate the importance and benefits of marketing analytics.

[1]  T. Davenport Competing on analytics. , 2006, Harvard business review.

[2]  Andrew E. Smith,et al.  Evaluation of unsupervised semantic mapping of natural language with Leximancer concept mapping , 2006, Behavior research methods.

[3]  Jr. Joe F. Hair Knowledge creation in marketing: the role of predictive analytics , 2007 .

[4]  Jeanne G. Harris,et al.  Competing on Analytics: The New Science of Winning , 2007 .

[5]  William J. Hauser,et al.  Marketing analytics: the evolution of marketing research in the twenty‐first century , 2007 .

[6]  Julia H. Littell,et al.  Systematic Reviews and Meta-Analysis , 2008 .

[7]  J. Andrew Petersen,et al.  Choosing the Right Metrics to Maximize Profitability and Shareholder Value , 2009 .

[8]  Praveen Aggarwal,et al.  Using Lexical Semantic Analysis to Derive Online Brand Positions: An Application to Retail Marketing Research , 2009 .

[9]  D. Fluss Why marketing needs speech analytics , 2010 .

[10]  Tammo H. A. Bijmolt,et al.  Analytics for Customer Engagement , 2010 .

[11]  Yuho Chung,et al.  Unfolding large-scale marketing data , 2010 .

[12]  J. Ozimek Issues with statistical forecasting: The problems with climate science – And lessons to be drawn for marketing analytics , 2010 .

[13]  S. Dann Redefining social marketing with contemporary commercial marketing definitions , 2010 .

[14]  R. Dale Wilson,et al.  Using clickstream data to enhance business‐to‐business web site performance , 2010 .

[15]  Barry Leventhal,et al.  An introduction to data mining and other techniques for advanced analytics , 2010 .

[16]  Gary L. Lilien,et al.  Bridging the Academic–Practitioner Divide in Marketing Decision Models , 2011 .

[17]  Galit Shmueli,et al.  Predictive Analytics in Information Systems Research , 2010, MIS Q..

[18]  P. Furness Applications of Monte Carlo Simulation in marketing analytics , 2011 .

[19]  ShmueliGalit,et al.  Predictive analytics in information systems research , 2011 .

[20]  Jacob Goldenberg,et al.  Mine Your Own Business: Market-Structure Surveillance Through Text Mining , 2012, Mark. Sci..

[21]  D. Chaffey,et al.  From web analytics to digital marketing optimization: Increasing the commercial value of digital analytics , 2012 .

[22]  Pat LaPointe The Dog Ate My Analysis , 2012, Journal of Advertising Research.

[23]  Mihaela Vorvoreanu,et al.  Social media marketing analytics: A case study of the public's perception of Indianapolis as Super Bowl XLVI host city , 2013 .

[24]  A. Rangaswamy,et al.  Performance implications of deploying marketing analytics , 2013 .

[25]  Mohammad Salehan,et al.  Predicting the performance of online consumer reviews: A sentiment mining approach to big data analytics , 2014, Decis. Support Syst..

[26]  Julia Müller,et al.  Hybrid analysis of textual data , 2014 .

[27]  Bart Baesens,et al.  Call for Papers MISQ Special Issue on Transformational Issues of Big Data and Analytics in Networked Business , 2014 .

[28]  John Roberts,et al.  From academic research to marketing practice: Exploring the marketing science value chain , 2014, How to Get Published in the Best Marketing Journals.

[29]  Hope Corrigan,et al.  How Does Target Know So Much About Its Customers? Utilizing Customer Analytics to Make Marketing Decisions , 2014 .

[30]  Dominique M. Hanssens,et al.  Consumer Attitude Metrics for Guiding Marketing Mix Decisions , 2014, Mark. Sci..

[31]  Anteneh Ayanso,et al.  Harnessing the Power of Social Media and Web Analytics , 2014 .

[32]  Roland T. Rust,et al.  The Service Revolution and the Transformation of Marketing Science , 2014, Mark. Sci..

[33]  R. Alcaraz,et al.  The business case for better analytics: A retrospective and the future of theory and practice of marketing science , 2014 .

[34]  G. Lilien,et al.  Do Retailers Benefit from Deploying Customer Analytics , 2014 .

[35]  D. A. Miles Measuring Customer Behavior and Profitability: Using Marketing Analytics to Examine Customer and Marketing Behavioral Patterns in Business Ventures , 2014 .

[36]  A. Persson,et al.  Making customer relationship decisions: Analytics v rules of thumb , 2014 .

[37]  Raymond Y. K. Lau,et al.  Social analytics: Learning fuzzy product ontologies for aspect-oriented sentiment analysis , 2014, Decis. Support Syst..

[38]  Pauwels Koen Truly Accountable Marketing: The Right Metrics for the Right Results , 2015 .

[39]  Joe Peppard,et al.  Show me the money: : Improving our understanding of how organizations generate return from technology-led marketing change , 2015 .

[40]  A Social Media Practicum: An Action-Learning Approach to Social Media Marketing and Analytics , 2015 .

[41]  Heikki Karjaluoto,et al.  The use of Web analytics for digital marketing performance measurement , 2015 .

[42]  Charles G. Jobs,et al.  THE IMPACT OF BIG DATA ON YOUR FIRMS MARKETING COMMUNICATIONS: A FRAMEWORK FOR UNDERSTANDING THE EMERGING MARKETING ANALYTICS INDUSTRY , 2015 .

[43]  Jan R. Landwehr,et al.  Marketing and Product Design: A Rocky Love Affair , 2015 .

[44]  D. Griffith,et al.  Looking Back to Move Forward: A Review of the Evolution of Research in International Marketing Channels , 2015 .

[45]  K. Pauwels Truly Accountable Marketing: The Right Metrics for the Right Results , 2015 .

[46]  Tiong T. Goh,et al.  Teaching Social Media Analytics: An Assessment Based on Natural Disaster Postings , 2015, J. Inf. Syst. Educ..

[47]  Bernd Skiera Data, Data and Even More Data: Harvesting Insights From the Data Jungle , 2016 .

[48]  Peter C. Verhoef,et al.  Creating Value with Big Data Analytics: Making Smarter Marketing Decisions , 2016 .

[49]  Constantinos K. Coursaris,et al.  Informing brand messaging strategies via social media analytics , 2016, Online Inf. Rev..

[50]  Michel Wedel,et al.  Adaptive personalization using social networks , 2015, Journal of the Academy of Marketing Science.

[51]  Gary L. Frankwick,et al.  Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective , 2016 .

[52]  Foster J. Provost,et al.  Mining Massive Fine-Grained Behavior Data to Improve Predictive Analytics , 2016, MIS Q..

[53]  Insu Park,et al.  Using Big Data to Model Time-Varying Effects for Marketing Resource (Re)Allocation , 2016, MIS Q..

[54]  C. Moorman Celebrating marketing’s dirty word , 2016 .

[55]  Michael Trusov,et al.  Crumbs of the Cookie: User Profiling in Customer-Base Analysis and Behavioral Targeting , 2016, Mark. Sci..

[56]  P. K. Kannan,et al.  From Social to Sale: The Effects of Firm-Generated Content in Social Media on Customer Behavior , 2016 .

[57]  Sunil Erevelles,et al.  Big Data consumer analytics and the transformation of marketing , 2016 .

[58]  Helena Alves,et al.  Value co-creation: Concept and contexts of application and study☆ , 2016 .

[59]  Aron Culotta,et al.  Mining Brand Perceptions from Twitter Social Networks , 2016, Mark. Sci..

[60]  S. Dibb,et al.  Troubled waters: the transformation of marketing in a digital world , 2016 .

[61]  Charles G. Jobs,et al.  How Marketing Organizations Can Benefit from Big Data Advertising Analytics , 2016 .

[62]  Charles F. Hofacker,et al.  Big Data and consumer behavior: imminent opportunities , 2016 .

[63]  Wolfgang Ketter,et al.  Competitive Benchmarking: An IS Research Approach to Address Wicked Problems with Big Data and Analytics , 2015, MIS Q..

[64]  G. Lilien The B2B Knowledge Gap , 2016 .

[65]  M. Wedel,et al.  Marketing Analytics for Data-Rich Environments , 2016 .

[66]  Dominique M. Hanssens,et al.  Demonstrating the Value of Marketing , 2016 .

[67]  Ashutosh Dixit,et al.  Research framework, strategies, and applications of intelligent agent technologies (IATs) in marketing , 2015, Journal of the Academy of Marketing Science.

[68]  Daniel M. Ringel,et al.  Visualizing Asymmetric Competition Among More Than 1, 000 Products Using Big Search Data , 2016, Mark. Sci..

[69]  Xiao Liu,et al.  A Structured Analysis of Unstructured Big Data by Leveraging Cloud Computing , 2015, Mark. Sci..

[70]  Michael T. Krush,et al.  A contingency model of marketing dashboards and their influence on marketing strategy implementation speed and market information management capability , 2016 .

[71]  K. Pauwels,et al.  Like the ad or the brand? Marketing stimulates different electronic word-of-mouth content to drive online and offline performance , 2016 .

[72]  Kelly D. Martin,et al.  The role of data privacy in marketing , 2016, Journal of the Academy of Marketing Science.

[73]  Maria Petrescu,et al.  The world of analytics: interdisciplinary, inclusive, insightful, and influential , 2017 .

[74]  Sanjog Misra,et al.  Big Data and Marketing Analytics in Gaming: Combining Empirical Models and Field Experimentation , 2017, Mark. Sci..

[75]  Anjala S. Krishen,et al.  Marketing analytics: from practice to academia , 2017 .

[76]  P. K. Kannan,et al.  Digital Marketing: A Framework, Review and Research Agenda , 2017 .

[77]  R. Venkatesan Executing on a customer engagement strategy , 2017 .

[78]  Shahriar Akter,et al.  Does big data analytics influence frontline employees in services marketing? , 2017, Bus. Process. Manag. J..

[79]  V. Kumar,et al.  Accessing the influence of strategic marketing research on generating impact: moderating roles of models, journals, and estimation approaches , 2017 .

[80]  Shahriar Akter,et al.  Big data analytics and firm performance: Effects of dynamic capabilities , 2017 .

[81]  T. Oliveira,et al.  Assessing business value of Big Data Analytics in European firms , 2017 .

[82]  Eric T. Bradlow,et al.  The Role of Big Data and Predictive Analytics in Retailing , 2017 .

[83]  G. Barczak Writing a Review Article , 2017 .

[84]  P. Naik,et al.  Metrics unreliability and marketing overspending , 2017 .

[85]  Benjamin T. Hazen,et al.  Big data and predictive analytics for supply chain and organizational performance , 2017 .

[86]  R. Rust,et al.  Technology-driven service strategy , 2017 .

[87]  David A. Schweidel,et al.  Opportunities for Innovation in Social Media Analytics , 2017 .

[88]  Gayle Kerr,et al.  IMC education and digital disruption , 2017 .

[89]  Deepa Chandrasekaran,et al.  Effects of offline ad content on online brand search: insights from super bowl advertising , 2018 .