Web Analytics: Models of Engagement Metrics in New Media

Detalhes bibliográficos
Autor(a) principal: Okada, Sionara Ioco
Data de Publicação: 2012
Tipo de documento: Artigo
Idioma: por
Título da fonte: REMark - Revista Brasileira de Marketing
Texto Completo: https://periodicos.uninove.br/remark/article/view/11937
Resumo: The measurement and continuous monitoring of market actions leads to knowledge of consumer behavior, not only on variables such as frequency, recentness, and value for money, but also engagement in questions and interaction with the product and / or trademark. The development of metrics for different medias increases the amount of useful information on the consumption profile enabling the optimization of digital strategies to targeted audiences. This article is an update that aims to review the latest publications on models of metrics - web analytics- WA Consistent digital strategy and emerging media platforms. The methodology used is a secondary research, particularly reviewing literature, aiming to update and conduct a comparative analysis of three models of web analytics- wa for organizations that operate in electronic retailing, using different digital channels. The study focuses on: i) Model of Five Stages of competition analysis, proposed by Davenport ii) Model maturity in web analytics, proposed by Hammel iii) Model Web analytics Scorecard proposed by Giuntini Morier. In order to strengthen the interaction and metrics engagement as the main protagonists of contemporary digital strategies the expansion of M-commerce and the advent of Social Commerce are assumed to be irreversible trends. It requires the participation of organizations that operate in electronic retailing, metrics and performance indicators for continuous monitoring of consumer behavior.
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spelling Web Analytics: Models of Engagement Metrics in New MediaWeb Analytics: Modelos de Métricas de Engajamento em Mídias EmergentesWeb analytics; Metrics; Digital strategies.Web analytics; Métricas; Estratégias digitais.The measurement and continuous monitoring of market actions leads to knowledge of consumer behavior, not only on variables such as frequency, recentness, and value for money, but also engagement in questions and interaction with the product and / or trademark. The development of metrics for different medias increases the amount of useful information on the consumption profile enabling the optimization of digital strategies to targeted audiences. This article is an update that aims to review the latest publications on models of metrics - web analytics- WA Consistent digital strategy and emerging media platforms. The methodology used is a secondary research, particularly reviewing literature, aiming to update and conduct a comparative analysis of three models of web analytics- wa for organizations that operate in electronic retailing, using different digital channels. The study focuses on: i) Model of Five Stages of competition analysis, proposed by Davenport ii) Model maturity in web analytics, proposed by Hammel iii) Model Web analytics Scorecard proposed by Giuntini Morier. In order to strengthen the interaction and metrics engagement as the main protagonists of contemporary digital strategies the expansion of M-commerce and the advent of Social Commerce are assumed to be irreversible trends. It requires the participation of organizations that operate in electronic retailing, metrics and performance indicators for continuous monitoring of consumer behavior.As transformaes no comportamento do consumidor inauguraram a Era da recomendao com a disseminao exponencial de contedo relevante, ascenso do prosumerismo e crowdsourcing. A mensurao e o monitoramento contnuo das aes mercadolgicas levam ao conhecimento do comportamento do consumidor, no somente nas variveis como freqncia, recncia e valor de compra, mas tambm nos quesitos engajamento e interao com o produto e/ou marca. O desenvolvimento de mtricas para mltiplas mdias elevam a quantidade de informaes teis sobre o perfil de consumo possibilitando a otimizao das estratgias digitais pblicos segmentados. Este um artigo de atualizao que tem por objetivo revisar as ltimas publicaes sobre modelos de mtricas - web analytics WA coadunando estratgias digitais em plataformas e mdias emergentes. Quanto metodologia utilizada, trata-se de uma investigao secundria, sobretudo bibliogrfica visando atualizao e anlise comparativa de trs modelos web analytics wa para organizaes que atuam no varejo eletrnico, utilizando diferentes canais digitais. O estudo enfoca: i) Modelo dos Cinco Estgios de competio analtica, proposto por Davenport; ii) Modelo de maturidade em web analytics, proposto por Hammel; iii) Modelo Web Analytics Scorecard, proposto por Giuntini Morier. A expanso do M-commerce e o advento do Social commerce assumem-se como tendncias irreversveis, exigindo das organizaes que atuam no varejo eletrnico, mtricas e indicadores de desempenho para um monitoramento contnuo do comportamento do consumidor, de modo a consolidar a interao e as mtricas de engajamento como principais protagonistas das estratgias digitais contemporneas. DOI: 10.5585/remark.v10i3.2271Universidade Nove de Julho - Uninove2012-02-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por ParesPeer-reviewed Articleapplication/pdfhttps://periodicos.uninove.br/remark/article/view/1193710.5585/remark.v10i3.2271ReMark - Revista Brasileira de Marketing; v. 10, n. 3 (2011): setembro - dezembro; 107-1262177-5184reponame:REMark - Revista Brasileira de Marketinginstname:Universidade Nove de Julho (UNINOVE)instacron:RBMporhttps://periodicos.uninove.br/remark/article/view/11937/5561Direitos autorais 2019 Revista Brasileira de Marketing – Remarkinfo:eu-repo/semantics/openAccessOkada, Sionara Ioco2019-06-21T14:45:19Zoai:https://periodicos.uninove.br:article/11937Revistahttps://periodicos.uninove.br/remarkPRIhttps://periodicos.uninove.br/remark/oaiclaudiaraac@uol.com.br || admin@revistabrasileiramarketing.org || admin@revistabrasileiramarketing.org2177-51842177-5184opendoar:2019-06-21T14:45:19REMark - Revista Brasileira de Marketing - Universidade Nove de Julho (UNINOVE)false
dc.title.none.fl_str_mv Web Analytics: Models of Engagement Metrics in New Media
Web Analytics: Modelos de Métricas de Engajamento em Mídias Emergentes
title Web Analytics: Models of Engagement Metrics in New Media
spellingShingle Web Analytics: Models of Engagement Metrics in New Media
Okada, Sionara Ioco
Web analytics; Metrics; Digital strategies.
Web analytics; Métricas; Estratégias digitais.
title_short Web Analytics: Models of Engagement Metrics in New Media
title_full Web Analytics: Models of Engagement Metrics in New Media
title_fullStr Web Analytics: Models of Engagement Metrics in New Media
title_full_unstemmed Web Analytics: Models of Engagement Metrics in New Media
title_sort Web Analytics: Models of Engagement Metrics in New Media
author Okada, Sionara Ioco
author_facet Okada, Sionara Ioco
author_role author
dc.contributor.author.fl_str_mv Okada, Sionara Ioco
dc.subject.por.fl_str_mv Web analytics; Metrics; Digital strategies.
Web analytics; Métricas; Estratégias digitais.
topic Web analytics; Metrics; Digital strategies.
Web analytics; Métricas; Estratégias digitais.
description The measurement and continuous monitoring of market actions leads to knowledge of consumer behavior, not only on variables such as frequency, recentness, and value for money, but also engagement in questions and interaction with the product and / or trademark. The development of metrics for different medias increases the amount of useful information on the consumption profile enabling the optimization of digital strategies to targeted audiences. This article is an update that aims to review the latest publications on models of metrics - web analytics- WA Consistent digital strategy and emerging media platforms. The methodology used is a secondary research, particularly reviewing literature, aiming to update and conduct a comparative analysis of three models of web analytics- wa for organizations that operate in electronic retailing, using different digital channels. The study focuses on: i) Model of Five Stages of competition analysis, proposed by Davenport ii) Model maturity in web analytics, proposed by Hammel iii) Model Web analytics Scorecard proposed by Giuntini Morier. In order to strengthen the interaction and metrics engagement as the main protagonists of contemporary digital strategies the expansion of M-commerce and the advent of Social Commerce are assumed to be irreversible trends. It requires the participation of organizations that operate in electronic retailing, metrics and performance indicators for continuous monitoring of consumer behavior.
publishDate 2012
dc.date.none.fl_str_mv 2012-02-14
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado por Pares
Peer-reviewed Article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.uninove.br/remark/article/view/11937
10.5585/remark.v10i3.2271
url https://periodicos.uninove.br/remark/article/view/11937
identifier_str_mv 10.5585/remark.v10i3.2271
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.uninove.br/remark/article/view/11937/5561
dc.rights.driver.fl_str_mv Direitos autorais 2019 Revista Brasileira de Marketing – Remark
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos autorais 2019 Revista Brasileira de Marketing – Remark
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Nove de Julho - Uninove
publisher.none.fl_str_mv Universidade Nove de Julho - Uninove
dc.source.none.fl_str_mv ReMark - Revista Brasileira de Marketing; v. 10, n. 3 (2011): setembro - dezembro; 107-126
2177-5184
reponame:REMark - Revista Brasileira de Marketing
instname:Universidade Nove de Julho (UNINOVE)
instacron:RBM
instname_str Universidade Nove de Julho (UNINOVE)
instacron_str RBM
institution RBM
reponame_str REMark - Revista Brasileira de Marketing
collection REMark - Revista Brasileira de Marketing
repository.name.fl_str_mv REMark - Revista Brasileira de Marketing - Universidade Nove de Julho (UNINOVE)
repository.mail.fl_str_mv claudiaraac@uol.com.br || admin@revistabrasileiramarketing.org || admin@revistabrasileiramarketing.org
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