The Experts below are selected from a list of 7299 Experts worldwide ranked by ideXlab platform
Max I Fomitchev - One of the best experts on this subject based on the ideXlab platform.
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how Google Analytics and conventional cookie tracking techniques overestimate unique visitors
The Web Conference, 2010Co-Authors: Max I FomitchevAbstract:We report the results of the analysis of website traffic logs and argue that both unique IP address and cookies vastly overestimate unique visitors, e.g. by factor of 8 in our studies. Google Analytics 'absolute unique visitors' measure is shown to produce similar 6x overestimation. To address the problem we present a new model for relating unique visitors to IP address or cookies.
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WWW - How Google Analytics and conventional cookie tracking techniques overestimate unique visitors
Proceedings of the 19th international conference on World wide web - WWW '10, 2010Co-Authors: Max I FomitchevAbstract:We report the results of the analysis of website traffic logs and argue that both unique IP address and cookies vastly overestimate unique visitors, e.g. by factor of 8 in our studies. Google Analytics 'absolute unique visitors' measure is shown to produce similar 6x overestimation. To address the problem we present a new model for relating unique visitors to IP address or cookies.
Thomas R Kochtanek - One of the best experts on this subject based on the ideXlab platform.
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Google Analytics spatial data visualization thinking outside of the box
International Conference on Human Interface and Management of Information, 2014Co-Authors: Wanli Xing, Rui Guo, Ben Richardson, Thomas R KochtanekAbstract:This paper showcases a methodology to assist website managers in determining the influence of their websites in regard to a particular location. This is achieved through enhancing Google Analytics by supplementing it with outside data sources. Though GIS software namely ArcGIS, the approach allows for more comprehendible geospatial analysis while also presenting maps overlays that are easier to grasp than the tools currently offered by Google Analytics. The Truman Presidential Library website serves as a case study to explore the potentiality of this approach.
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HCI (12) - Google Analytics Spatial Data Visualization: Thinking Outside of the Box
Lecture Notes in Computer Science, 2014Co-Authors: Wanli Xing, Rui Guo, Ben Richardson, Thomas R KochtanekAbstract:This paper showcases a methodology to assist website managers in determining the influence of their websites in regard to a particular location. This is achieved through enhancing Google Analytics by supplementing it with outside data sources. Though GIS software namely ArcGIS, the approach allows for more comprehendible geospatial analysis while also presenting maps overlays that are easier to grasp than the tools currently offered by Google Analytics. The Truman Presidential Library website serves as a case study to explore the potentiality of this approach.
Wanli Xing - One of the best experts on this subject based on the ideXlab platform.
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Google Analytics based temporal-geospatial analysis for web management: A case study of a K-12 online resource website
International Journal of Information Science and Management, 2015Co-Authors: Wanli Xing, Gail Fitzgerald, Rui Guo, Chengcheng XuAbstract:As Google Analytics becomes increasingly popular, more detailed records of users' behaviors can be captured and analyzed to better understand the performance of websites. However, current Google Analytics related research usually draws conclusions from rough estimation based on the observation of the dashboard or other basic statistical processing of the data. This study aims to provide a more accurate and informative analysis from both temporal and geospatial perspectives via clustering and GIS application. The results obtained from a resource website case study demonstrate that the proposed method is able to help web managers better examine the temporal effect on users' visiting patterns based on accurate mathematical computation as well as provides more geographical insight into website performance through the constructed density measure and 3D graphic presentation. By offering in-depth quantitative information relying on mining data from web logs, such a study can help web stakeholders make better decisions on how to maintain and improve the websites, especially adjusting resources by considering temporal fluctuations and inequity in geographical distribution.
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Google Analytics spatial data visualization thinking outside of the box
International Conference on Human Interface and Management of Information, 2014Co-Authors: Wanli Xing, Rui Guo, Ben Richardson, Thomas R KochtanekAbstract:This paper showcases a methodology to assist website managers in determining the influence of their websites in regard to a particular location. This is achieved through enhancing Google Analytics by supplementing it with outside data sources. Though GIS software namely ArcGIS, the approach allows for more comprehendible geospatial analysis while also presenting maps overlays that are easier to grasp than the tools currently offered by Google Analytics. The Truman Presidential Library website serves as a case study to explore the potentiality of this approach.
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HCI (12) - Google Analytics Spatial Data Visualization: Thinking Outside of the Box
Lecture Notes in Computer Science, 2014Co-Authors: Wanli Xing, Rui Guo, Ben Richardson, Thomas R KochtanekAbstract:This paper showcases a methodology to assist website managers in determining the influence of their websites in regard to a particular location. This is achieved through enhancing Google Analytics by supplementing it with outside data sources. Though GIS software namely ArcGIS, the approach allows for more comprehendible geospatial analysis while also presenting maps overlays that are easier to grasp than the tools currently offered by Google Analytics. The Truman Presidential Library website serves as a case study to explore the potentiality of this approach.
Michael Krausz - One of the best experts on this subject based on the ideXlab platform.
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A Process Evaluation of a Web-Based Mental Health Portal (WalkAlong) Using Google Analytics.
JMIR mental health, 2018Co-Authors: Michael Jae Song, John Ward, Fiona Choi, Mohammadali Nikoo, Anastasia Frank, Farhud Shams, Katarina Tabi, Daniel Vigo, Michael KrauszAbstract:Background: Despite the increasing amount of research on Web-based mental health interventions with proven efficacy, high attrition rates decrease their effectiveness. Continued process evaluations should be performed to maximize the target population's engagement. Google Analytics has been used to evaluate various health-related Web-based programs and may also be useful for Web-based mental health programs. Objective: The objective of our study was to evaluate WalkAlong.ca , a youth-oriented mental health web-portal, using Google Analytics to inform the improvement strategy for the platform and to demonstrate the use of Google Analytics as a tool for process evaluation of Web-based mental health interventions. Methods: Google Analytics was used to monitor user activity during WalkAlong's first year of operation (Nov 13, 2013-Nov 13, 2014). Selected Google Analytic variables were overall website engagement including pages visited per session, utilization rate of specific features, and user access mode and location. Results: The results included data from 3076 users viewing 29,299 pages. Users spent less average time on Mindsteps (0 minute 35 seconds) and self-exercises (1 minute 08 seconds), which are important self-help tools, compared with that on the Screener tool (3 minutes 4 seconds). Of all visitors, 82.3% (4378/5318) were desktop users, followed by 12.7 % (677/5318) mobile phone and 5.0% (263/5318) tablet users. Both direct traffic (access via URL) and referrals by email had more than 7 pages viewed per session and longer than average time of 6 minutes per session. The majority of users (67%) accessed the platform from Canada. Conclusions: Engagement and feature utilization rates are higher among people who receive personal invitations to visit the site. Low utilization rates with specific features offer a starting place for further exploration of users in order to identify the root cause. The data provided by Google Analytics, although informative, can be supplemented by other evaluation methods (ie, qualitative methods) in order to better determine the modifications required to improve user engagement. Google Analytics can play a vital role in highlighting the preferences of those using Web-based mental health tools.
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A Process Evaluation of a Web-Based Mental Health Portal (WalkAlong) Using Google Analytics (Preprint)
2017Co-Authors: Michael Jae Song, John Ward, Fiona Choi, Mohammadali Nikoo, Anastasia Frank, Farhud Shams, Katarina Tabi, Daniel Vigo, Michael KrauszAbstract:BACKGROUND Despite the increasing amount of research on Web-based mental health interventions with proven efficacy, high attrition rates decrease their effectiveness. Continued process evaluations should be performed to maximize the target population’s engagement. Google Analytics has been used to evaluate various health-related Web-based programs and may also be useful for Web-based mental health programs. OBJECTIVE The objective of our study was to evaluate WalkAlong.ca, a youth-oriented mental health web-portal, using Google Analytics to inform the improvement strategy for the platform and to demonstrate the use of Google Analytics as a tool for process evaluation of Web-based mental health interventions. METHODS Google Analytics was used to monitor user activity during WalkAlong’s first year of operation (Nov 13, 2013-Nov 13, 2014). Selected Google Analytic variables were overall website engagement including pages visited per session, utilization rate of specific features, and user access mode and location. RESULTS The results included data from 3076 users viewing 29,299 pages. Users spent less average time on Mindsteps (0 minute 35 seconds) and self-exercises (1 minute 08 seconds), which are important self-help tools, compared with that on the Screener tool (3 minutes 4 seconds). Of all visitors, 82.3% (4378/5318) were desktop users, followed by 12.7 % (677/5318) mobile phone and 5.0% (263/5318) tablet users. Both direct traffic (access via URL) and referrals by email had more than 7 pages viewed per session and longer than average time of 6 minutes per session. The majority of users (67%) accessed the platform from Canada. CONCLUSIONS Engagement and feature utilization rates are higher among people who receive personal invitations to visit the site. Low utilization rates with specific features offer a starting place for further exploration of users in order to identify the root cause. The data provided by Google Analytics, although informative, can be supplemented by other evaluation methods (ie, qualitative methods) in order to better determine the modifications required to improve user engagement. Google Analytics can play a vital role in highlighting the preferences of those using Web-based mental health tools.
Jos Poelman - One of the best experts on this subject based on the ideXlab platform.
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Using Google Analytics as a process evaluation method for Internet-delivered interventions: an example on sexual health
Health promotion international, 2012Co-Authors: Rik Crutzen, Johanna L. Roosjen, Jos PoelmanAbstract:SUMMARY The study aimed to demonstrate the potential of Google Analytics as a process evaluation method for Internetdelivered interventions, using a website about sexual health as an example. This study reports visitors’ behavior until 21 months after the release of the website (March 2009 –December 2010). In total, there were 850 895 visitors with an average total visiting time (i.e. dose) of 5:07 min. Google Analytics provided data to answer three key questions in terms of process evaluation of an Internet-delivered intervention: (i) How do visitors behave?; (ii) Where do visitors come from? and (iii) What content are visitors exposed to? This real-life example demonstrated the potential of Google Analytics as a method to be used in a process evaluation of Internet-delivered interventions. This is highly relevant given the current expansion of these interventions within the field of health promotion.
