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      Digital inbound marketing: Measuring the economic performance of grocery e-commerce in Europe and the USA

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          Highlights

          • Leading grocery e-commerce are optimizing Digital Inbound Marketing (DIM) in line with economic theory.

          • E-commerce born on the Internet show a higher DIM-efficiency than click and mortar firms; and less volatile behaviour.

          • The cost advantage in SEO is in general held by the national market leader.

          • US and UK e-commerce best in user attraction under optimal resource allocation; US with consolidated cost structure.

          • Big data tools together with optimization criteria from analytical models allow to control and adjust investment in DIM.

          Abstract

          This research investigates the cost-result relationship of the Inbound Marketing actions used by grocery e-commerce. The analysis is based on the application of the Dorfman and Steiner (1954) model for optimal advertising budget, which is adapted by the authors to digital marketing and verified with empirical statistical analysis. Considering 29 leading companies in six countries over a time horizon of six years, an analysis of the mix of SEO and SEM techniques aimed at the attraction and conversion of Internet users to the web pages of their companies is carried out. The results confirm that e-commerce is optimizing Digital Inbound Marketing in line with the established model. Differences are identified depending on the type of format (pure player versus brick and mortar) and at the country level (UK and USA versus others).

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          Digital transformation: A multidisciplinary reflection and research agenda

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            The Process of Customer Engagement: A Conceptual Framework

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              How entrepreneurial SMEs compete through digital platforms: The roles of digital platform capability, network capability and ambidexterity

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                Author and article information

                Journal
                Technol Forecast Soc Change
                Technol Forecast Soc Change
                Technological Forecasting and Social Change
                Published by Elsevier Inc.
                0040-1625
                0040-1625
                20 October 2020
                January 2021
                20 October 2020
                : 162
                : 120373
                Affiliations
                [0001]ESIC Business & Marketing School, Camino Valdenigriales, s/n, 28223 Pozuelo de Alarcón, Madrid
                Author notes
                [* ]Corresponding author.
                [1]

                Authors are listed alphabetically, and all authors contributed equally.

                Article
                S0040-1625(20)31199-9 120373
                10.1016/j.techfore.2020.120373
                7572302
                edf31a1b-a5a1-47e2-b64d-22c95dbbf6ca
                © 2020 Published by Elsevier Inc.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 18 June 2020
                : 26 September 2020
                : 30 September 2020
                Categories
                Article

                inbound marketing,digital marketing,e-commerce,retailing,economic performance,marketing investment optimization

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