Understanding the Digital Marketing Environment with KPIs and Web Analytics

In the practice of Digital Marketing (DM), Web Analytics (WA) and Key Performance Indicators (KPIs) can and should play an important role in marketing strategy formulation. It is the aim of this article to survey the various DM metrics to determine and address the following question: What are the most relevant metrics and KPIs that companies need to understand and manage in order to increase the effectiveness of their DM strategies? Therefore, to achieve these objectives, a Systematic Literature Review has been carried out based on two main themes (i) Digital Marketing and (ii) Web Analytics. The search terms consulted in the databases have been (i) DM and (ii) WA obtaining a result total of n = 378 investigations. The databases that have been consulted for the extraction of data were Scopus, PubMed, PsyINFO, ScienceDirect and Web of Science. In this study, we define and identify the main KPIs in measuring why, how and for what purpose users interact with web pages and ads. The main contribution of the study is to lay out and clarify quantitative and qualitative KPIs and indicators for DM performance in order to achieve a consensus on the use and measurement of these indicators.

[1]  M. Clarke,et al.  Methodology in conducting a systematic review of systematic reviews of healthcare interventions , 2011, BMC medical research methodology.

[2]  Michael R. Baye,et al.  Search Engine Optimization: What Drives Organic Traffic to Retail Sites? , 2014 .

[3]  Jo Royle,et al.  The digital marketing skills gap: Developing a Digital Marketer Model for the communication industries , 2014, Int. J. Inf. Manag..

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

[6]  Bernd Skiera,et al.  An Analysis of the Profitability of Fee-Based Compensation Plans for Search Engine Marketing , 2011 .

[7]  Jessica Bates,et al.  Will Web Search Engines Replace Bibliographic Databases in the Systematic Identification of Research , 2017 .

[8]  Imran S. Currim,et al.  Evaluation Set Size and Purchase: Evidence from a Product Search Engine☆ , 2017 .

[9]  R. Dale Wilson Using Web Traffic Analysis for Customer Acquisition and Retention Programs in Marketing , 2004 .

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

[11]  Yogesh Kumar Dwivedi,et al.  Search engine marketing is not all gold: Insights from Twitter and SEOClerks , 2018, Int. J. Inf. Manag..

[12]  Paramaporn Thaichon,et al.  Online Marketing Communications and Childhood's Intention to Consume Unhealthy Food , 2016 .

[13]  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 .

[14]  Michael L. Kent,et al.  Learning web analytics: A tool for strategic communication , 2011 .

[15]  Eric Williams,et al.  Designing and assessing a sustainable networked delivery (SND) system: hybrid business-to-consumer book delivery case study. , 2009, Environmental science & technology.

[16]  C. Haon,et al.  Technology sourcing for website personalization and social media marketing: A study of e-retailing industry , 2017 .

[17]  P. Leeflang,et al.  Challenges and solutions for marketing in a digital era , 2014 .

[18]  Enrique Herrera-Viedma,et al.  CARESOME: A system to enrich marketing customers acquisition and retention campaigns using social media information , 2015, Knowl. Based Syst..

[19]  Lester Lipsky,et al.  Search marketing traffic and performance models , 2012, Comput. Stand. Interfaces.

[20]  Li Ling-yee Marketing metrics' usage: Its predictors and implications for customer relationship management , 2011 .

[21]  Jody Condit Fagan,et al.  The Suitability of Web Analytics Key Performance Indicators in the Academic Library Environment , 2014 .

[22]  K. File,et al.  Evaluating the effectiveness of interactive marketing , 1993 .

[23]  Bo Wang,et al.  Search Engine Marketing, Financing Ability and Firm Performance in E-commerce , 2015, ITQM.

[24]  Ajay K. Manrai,et al.  Effective Use of Marketing Technology in Eastern Europe: Web Analytics, Social Media, Customer Analytics, Digital Campaigns and Mobile Applications , 2015 .

[25]  Koen Pauwels,et al.  Social Media Metrics — A Framework and Guidelines for Managing Social Media , 2013 .

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

[27]  Garry Lee Death of ‘last click wins’: Media attribution and the expanding use of media data , 2010 .

[28]  M. Healy,et al.  Internet marketing capabilities and international market growth , 2016 .

[29]  Rand Fishkin,et al.  Inbound Marketing and SEO: Insights from the Moz Blog , 2013 .

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

[31]  Beatriz Plaza Google Analytics: INTELLIGENCE FOR INFORMATION PROFESSIONALS , 2010 .

[32]  Lesley White,et al.  Web site performance measurement: promise and reality , 2006 .

[33]  Bernd Skiera,et al.  Return on Quality Improvements in Search Engine Marketing , 2012 .

[34]  Steven E. Phelan,et al.  Measurement of return on marketing investment: A conceptual framework and the future of marketing metrics , 2007 .

[35]  Andy Neely,et al.  The success and failure of performance measurement initiatives: Perceptions of participating managers , 2002 .

[36]  Germán Aníbal Narváez Vásquez,et al.  Best Practice in the Use of Social Networks Marketing Strategy as in SMEs , 2014 .

[37]  Arch G. Woodside,et al.  Buying and marketing CPA services , 1992 .

[38]  M. van den Bosch,et al.  Urban natural environments as nature-based solutions for improved public health - A systematic review of reviews. , 2017, Environmental research.

[39]  Andreas L. Symeonidis,et al.  Identifying valid search engine ranking factors in a Web 2.0 and Web 3.0 context for building efficient SEO mechanisms , 2015, Eng. Appl. Artif. Intell..

[40]  P. Sánchez APROXIMACIÓN A LOS FACTORES CLAVES DEL RETORNO DE LA INVERSIÓN EN FORMACIÓN E-LEARNING , 2016 .

[41]  J. D. Oldham,et al.  Brand Attitudes and Search Engine Queries , 2016 .

[42]  Avinash Kaushik,et al.  Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity , 2009 .

[43]  Yang Sok Kim,et al.  Use of the Smart Store for Persuasive Marketing and Immersive Customer Experiences: A Case Study of Korean Apparel Enterprise , 2017, Mob. Inf. Syst..