Methodologies for monitoring website performance. Issue 4 (12th June 2014)
- Record Type:
- Journal Article
- Title:
- Methodologies for monitoring website performance. Issue 4 (12th June 2014)
- Main Title:
- Methodologies for monitoring website performance
- Authors:
- Moral, Paz
Gonzalez, Pilar
Plaza, Beatriz - Abstract:
- <abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – Online advertising such as Google AdWords gives small and medium-sized enterprises access to new markets at reduced costs. The purpose of this paper is to analyse the visibility and performance of a website and to test the effectiveness of online marketing using the data provided by Google Analytics. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – The authors use a class of econometric time series models with unobservable components, Structural Time Series Models (STSM). The authors allow for time-varying trends to take into account the non-stationary behaviour displayed by time series. The authors illustrate the model using daily data from a local tourist website. Three specific questions are addressed: do paid keywords campaigns increase the volume and quality of search traffic? Do paid keywords affect the volume and quality of the unpaid traffic? How do paid and unpaid keywords perform? </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – The results for the case study show that: first, online campaigns affect traffic volume positively but their effectiveness on traffic quality is uncertain; second, paid keywords do not affect the volume and quality of unpaid traffic; third, the increase in traffic volume is not always due to the paid keywords<abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – Online advertising such as Google AdWords gives small and medium-sized enterprises access to new markets at reduced costs. The purpose of this paper is to analyse the visibility and performance of a website and to test the effectiveness of online marketing using the data provided by Google Analytics. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – The authors use a class of econometric time series models with unobservable components, Structural Time Series Models (STSM). The authors allow for time-varying trends to take into account the non-stationary behaviour displayed by time series. The authors illustrate the model using daily data from a local tourist website. Three specific questions are addressed: do paid keywords campaigns increase the volume and quality of search traffic? Do paid keywords affect the volume and quality of the unpaid traffic? How do paid and unpaid keywords perform? </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – The results for the case study show that: first, online campaigns affect traffic volume positively but their effectiveness on traffic quality is uncertain; second, paid keywords do not affect the volume and quality of unpaid traffic; third, the increase in traffic volume is not always due to the paid keywords and the lowest quality visits come from paid traffic. </p> </sec> <sec> <title content-type="abstract-heading">Practical implications</title> <p> – This analysis may help webmasters to design successful online advertising strategies. </p> </sec> <sec> <title content-type="abstract-heading">Originality/value</title> <p> – This study contributes to the development of user-friendly methodologies to monitor website performance. The analysis shows that STSM is a suitable methodology to test the effectiveness of online campaigns and to assess the changes over time in the performance of a website.</p> </sec> </abstract> … (more)
- Is Part Of:
- Online information review. Volume 38:Issue 4(2014)
- Journal:
- Online information review
- Issue:
- Volume 38:Issue 4(2014)
- Issue Display:
- Volume 38, Issue 4 (2014)
- Year:
- 2014
- Volume:
- 38
- Issue:
- 4
- Issue Sort Value:
- 2014-0038-0004-0000
- Page Start:
- 575
- Page End:
- 588
- Publication Date:
- 2014-06-12
- Subjects:
- 025.04
- Journal URLs:
- http://www.emeraldinsight.com/loi/oir ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/OIR-12-2013-0267 ↗
- Languages:
- English
- ISSNs:
- 1468-4527
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6260.762534
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4120.xml