SlideShare une entreprise Scribd logo
1  sur  31
MBA 520
University of International Business and
Economics
Beijing China 2013
Understanding Web Site Analytics
What are Web Site Analytics?
 When we put data on the internet, we can track
how that data is used or consumed by users
 Web analytics is the measurement, collection,
analysis and reporting of internet data for
purposes of understanding and optimizing web
usage
 Web Analytics shows us how people use our data
or our web site
 Helps companies see what is popular and what is not
 Helps e-commerce sites see what is popular, where
customers drop off, and if they abandon the web site as
they move through the system
 Web analytics can show us how people share data off our
site
Terminology
 Hit - A request for a file from the web server. Available only
in log analysis. The number of hits received by a website is
frequently cited to assert its popularity, but this number is
extremely misleading and dramatically overestimates
popularity. A single web-page typically consists of multiple
(often dozens) of discrete files, each of which is counted
as a hit as the page is downloaded, so the number of hits
is really an arbitrary number more reflective of the
complexity of individual pages on the website than the
website's actual popularity. The total number of visits or
page views provides a more realistic and accurate
assessment of popularity.
 Page view - A request for a file, or sometimes an event
such as a mouse click, that is defined as a page in the
setup of the web analytics tool. An occurrence of the script
being run in page tagging. In log analysis, a single page
view may generate multiple hits as all the resources
required to view the page (images, .js and .css files) are
also requested from the web server.
Terminology
 Visit / Session - A visit or session is defined as a series of page
requests or, in the case of tags, image requests from the same
uniquely identified client. A visit is considered ended when no
requests have been recorded in some number of elapsed
minutes. A 30 minute limit ("time out") is used by many analytics
tools but can, in some tools, be changed to another number of
minutes. Analytics data collectors and analysis tools have no
reliable way of knowing if a visitor has looked at other sites
between page views; a visit is considered one visit as long as the
events (page views, clicks, whatever is being recorded) are 30
minutes or less closer together. Note that a visit can consist of
one page view, or thousands.
 First Visit / First Session - (also called 'Absolute Unique Visitor' in
some tools) A visit from a uniquely identified client that has
theoretically not made any previous visits. Since the only way of
knowing whether the uniquely identified client has been to the
site before is the presence of a persistent cookie that had been
Terminology
 Visitor / Unique Visitor / Unique User - The uniquely
identified client that is generating page views or hits within
a defined time period (e.g. day, week or month). A uniquely
identified client is usually a combination of a machine
(one's desktop computer at work for example) and a
browser (Firefox on that machine). The identification is
usually via a persistent cookie that has been placed on the
computer by the site page code. An older method, used in
log file analysis, is the unique combination of the
computer's IP address and the User Agent (browser)
information provided to the web server by the browser. It is
important to understand that the "Visitor" is not the same
as the human being sitting at the computer at the time of
the visit, since an individual human can use different
computers or, on the same computer, can use different
browsers, and will be seen as a different visitor in each
circumstance. Increasingly, but still somewhat rarely,
visitors are uniquely identified by Flash LSO's (Local
Shared Object), which are less susceptible to privacy
enforcement.
Terminology
 Repeat Visitor - A visitor that has made at least one previous
visit. The period between the last and current visit is called visitor
recency and is measured in days.
 New Visitor - A visitor that has not made any previous visits. This
definition creates a certain amount of confusion (see common
confusions below), and is sometimes substituted with analysis of
first visits.
 Impression - The most common definition of "Impression" is an
instance of an advertisement appearing on a viewed page. Note
that an advertisement can be displayed on a viewed page below
the area actually displayed on the screen, so most measures of
impressions do not necessarily mean an advertisement has been
viewable.
 Single Page Visit / Singleton - A visit in which only a single page
is viewed (a 'bounce').
 Bounce Rate - The percentage of visits that are single page
Terminology
 Page Time Viewed / Page Visibility Time / Page View
Duration - The time a single page (or a blog, Ad
Banner...) is on the screen, measured as the
calculated difference between the time of the request
for that page and the time of the next recorded
request. If there is no next recorded request, then the
viewing time of that instance of that page is not
included in reports.
 Session Duration / Visit Duration - Average amount of
time that visitors spend on the site each time they
visit. This metric can be complicated by the fact that
analytics programs can not measure the length of the
final page view.
 Average Page View Duration - Average amount of
time that visitors spend on an average page of the
site.
Terminology
 Active Time / Engagement Time - Average amount of time that visitors
spend actually interacting with content on a web page, based on mouse
moves, clicks, hovers and scrolls. Unlike Session Duration and Page
View Duration / Time on Page, this metric can accurately measure the
length of engagement in the final page view, but it is not available in
many analytics tools or data collection methods.
 Average Page Depth / Page Views per Average Session - Page Depth
is the approximate "size" of an average visit, calculated by dividing total
number of page views by total number of visits.
 Frequency / Session per Unique - Frequency measures how often
visitors come to a website in a given time period. It is calculated by
dividing the total number of sessions (or visits) by the total number of
unique visitors during a specified time period, such as a month or year.
Sometimes it is used interchangeable with the term "loyalty."
 Click path - the chronological sequence of page views within a visit or
session.
 Click - "refers to a single instance of a user following a hyperlink from
one page in a site to another".[8]
 Site Overlay is a report technique in which statistics (clicks) or hot spots
are superimposed, by physical location, on a visual snapshot of the web
page.
What Analytics Look Like
Audience Overview
Visitors
Demographics
Visits by Duration
Visits by Pages
Visitor Geography
New VS Returning
Engagement
Mobile VS Non-Mobile
Device Used (Mobile)
Social Networks
China
Visitor Flow
Visitor Flow
Visitors Flow
Repeat Visitors
Where did Visitors Come From?
Referrals
Referrals Search Engines
Referrals Social Media
Page Views
Questions?

Contenu connexe

En vedette

Information security principles
Information security principlesInformation security principles
Information security principlesDan Morrill
 
You should ask before copying that media
You should ask before copying that mediaYou should ask before copying that media
You should ask before copying that mediaDan Morrill
 
Using Regular Expressions in Grep
Using Regular Expressions in GrepUsing Regular Expressions in Grep
Using Regular Expressions in GrepDan Morrill
 
Turn On Tune In Step Out
Turn On Tune In Step OutTurn On Tune In Step Out
Turn On Tune In Step OutDan Morrill
 
What is cloud computing
What is cloud computingWhat is cloud computing
What is cloud computingDan Morrill
 
Cosa 2010 working with sirsi dynix
Cosa 2010 working with sirsi dynixCosa 2010 working with sirsi dynix
Cosa 2010 working with sirsi dynixsirsidynix
 
Technology And The Future Of Management
Technology And The Future Of ManagementTechnology And The Future Of Management
Technology And The Future Of ManagementDan Morrill
 

En vedette (7)

Information security principles
Information security principlesInformation security principles
Information security principles
 
You should ask before copying that media
You should ask before copying that mediaYou should ask before copying that media
You should ask before copying that media
 
Using Regular Expressions in Grep
Using Regular Expressions in GrepUsing Regular Expressions in Grep
Using Regular Expressions in Grep
 
Turn On Tune In Step Out
Turn On Tune In Step OutTurn On Tune In Step Out
Turn On Tune In Step Out
 
What is cloud computing
What is cloud computingWhat is cloud computing
What is cloud computing
 
Cosa 2010 working with sirsi dynix
Cosa 2010 working with sirsi dynixCosa 2010 working with sirsi dynix
Cosa 2010 working with sirsi dynix
 
Technology And The Future Of Management
Technology And The Future Of ManagementTechnology And The Future Of Management
Technology And The Future Of Management
 

Similaire à Understanding web site analytics

Module 2 onsite webanalytics
Module 2   onsite webanalyticsModule 2   onsite webanalytics
Module 2 onsite webanalyticsGayathri Choda
 
001 the google analytics glossary
001 the google analytics glossary001 the google analytics glossary
001 the google analytics glossarytrungkienfx
 
Web log & clickstream
Web log & clickstream Web log & clickstream
Web log & clickstream Michel Bruley
 
Google Analytics Tutorial
Google Analytics TutorialGoogle Analytics Tutorial
Google Analytics TutorialRuchika
 
Google analytics behavior report - LetsDigital With Mahesh Gangurde
Google analytics behavior report - LetsDigital With Mahesh GangurdeGoogle analytics behavior report - LetsDigital With Mahesh Gangurde
Google analytics behavior report - LetsDigital With Mahesh GangurdeMahesh Gangurde
 
Google Analytics
Google AnalyticsGoogle Analytics
Google AnalyticsKieran Daly
 
Interpreting Behavioral Analytics With Reliable Metrics
Interpreting Behavioral Analytics With Reliable MetricsInterpreting Behavioral Analytics With Reliable Metrics
Interpreting Behavioral Analytics With Reliable MetricsWavecrest Computing
 
PPT 3 Web Analytics (1).pptx
PPT 3 Web Analytics (1).pptxPPT 3 Web Analytics (1).pptx
PPT 3 Web Analytics (1).pptxDevChaudhari15
 
Class Notes for Friday, November 26
Class Notes for Friday, November 26Class Notes for Friday, November 26
Class Notes for Friday, November 26Eric Olander
 
Analytics and design changes
Analytics and design changesAnalytics and design changes
Analytics and design changesAdam Lake
 
Complete Google analytics document
Complete Google analytics documentComplete Google analytics document
Complete Google analytics documentParshuram Yadav
 
OHAD TZUR - DEMYSTIFYING USER ENGAGEMENT: AUTHENTIC VS. FAKE
OHAD TZUR - DEMYSTIFYING USER ENGAGEMENT: AUTHENTIC VS. FAKEOHAD TZUR - DEMYSTIFYING USER ENGAGEMENT: AUTHENTIC VS. FAKE
OHAD TZUR - DEMYSTIFYING USER ENGAGEMENT: AUTHENTIC VS. FAKEHilary Ip
 
SEMNE Google Analytics Master Class - 15 Oct 2014
SEMNE Google Analytics Master Class - 15 Oct 2014SEMNE Google Analytics Master Class - 15 Oct 2014
SEMNE Google Analytics Master Class - 15 Oct 2014Jay Murphy
 
Web analytics an intro
Web analytics   an introWeb analytics   an intro
Web analytics an introAshokkumar T A
 

Similaire à Understanding web site analytics (20)

Module 2 onsite webanalytics
Module 2   onsite webanalyticsModule 2   onsite webanalytics
Module 2 onsite webanalytics
 
Web analytics
Web analyticsWeb analytics
Web analytics
 
001 the google analytics glossary
001 the google analytics glossary001 the google analytics glossary
001 the google analytics glossary
 
Web log & clickstream
Web log & clickstream Web log & clickstream
Web log & clickstream
 
Google Analytics Tutorial
Google Analytics TutorialGoogle Analytics Tutorial
Google Analytics Tutorial
 
Google analytics behavior report - LetsDigital With Mahesh Gangurde
Google analytics behavior report - LetsDigital With Mahesh GangurdeGoogle analytics behavior report - LetsDigital With Mahesh Gangurde
Google analytics behavior report - LetsDigital With Mahesh Gangurde
 
Google Analytics
Google AnalyticsGoogle Analytics
Google Analytics
 
Interpreting Behavioral Analytics With Reliable Metrics
Interpreting Behavioral Analytics With Reliable MetricsInterpreting Behavioral Analytics With Reliable Metrics
Interpreting Behavioral Analytics With Reliable Metrics
 
PPT 3 Web Analytics (1).pptx
PPT 3 Web Analytics (1).pptxPPT 3 Web Analytics (1).pptx
PPT 3 Web Analytics (1).pptx
 
Class Notes for Friday, November 26
Class Notes for Friday, November 26Class Notes for Friday, November 26
Class Notes for Friday, November 26
 
073110 site analytics_benchmark
073110 site analytics_benchmark073110 site analytics_benchmark
073110 site analytics_benchmark
 
Analytics and design changes
Analytics and design changesAnalytics and design changes
Analytics and design changes
 
Website Analytics
Website AnalyticsWebsite Analytics
Website Analytics
 
Complete Google analytics document
Complete Google analytics documentComplete Google analytics document
Complete Google analytics document
 
OHAD TZUR - DEMYSTIFYING USER ENGAGEMENT: AUTHENTIC VS. FAKE
OHAD TZUR - DEMYSTIFYING USER ENGAGEMENT: AUTHENTIC VS. FAKEOHAD TZUR - DEMYSTIFYING USER ENGAGEMENT: AUTHENTIC VS. FAKE
OHAD TZUR - DEMYSTIFYING USER ENGAGEMENT: AUTHENTIC VS. FAKE
 
SEMNE Google Analytics Master Class - 15 Oct 2014
SEMNE Google Analytics Master Class - 15 Oct 2014SEMNE Google Analytics Master Class - 15 Oct 2014
SEMNE Google Analytics Master Class - 15 Oct 2014
 
clickstream analysis
 clickstream analysis clickstream analysis
clickstream analysis
 
Web analytics an intro
Web analytics   an introWeb analytics   an intro
Web analytics an intro
 
Web Analytics Basics
Web Analytics BasicsWeb Analytics Basics
Web Analytics Basics
 
Seo by Google
Seo by GoogleSeo by Google
Seo by Google
 

Plus de Dan Morrill

Windows power shell and active directory
Windows power shell and active directoryWindows power shell and active directory
Windows power shell and active directoryDan Morrill
 
Windows power shell basics
Windows power shell basicsWindows power shell basics
Windows power shell basicsDan Morrill
 
Process monitoring in UNIX shell scripting
Process monitoring in UNIX shell scriptingProcess monitoring in UNIX shell scripting
Process monitoring in UNIX shell scriptingDan Morrill
 
Creating a keystroke logger in unix shell scripting
Creating a keystroke logger in unix shell scriptingCreating a keystroke logger in unix shell scripting
Creating a keystroke logger in unix shell scriptingDan Morrill
 
Understanding UNIX CASE and TPUT
Understanding UNIX CASE and TPUTUnderstanding UNIX CASE and TPUT
Understanding UNIX CASE and TPUTDan Morrill
 
Understanding the security_organization
Understanding the security_organizationUnderstanding the security_organization
Understanding the security_organizationDan Morrill
 
Cis 216 – shell scripting
Cis 216 – shell scriptingCis 216 – shell scripting
Cis 216 – shell scriptingDan Morrill
 
Understanding advanced persistent threats (APT)
Understanding advanced persistent threats (APT)Understanding advanced persistent threats (APT)
Understanding advanced persistent threats (APT)Dan Morrill
 
AWS Hadoop and PIG and overview
AWS Hadoop and PIG and overviewAWS Hadoop and PIG and overview
AWS Hadoop and PIG and overviewDan Morrill
 
Social Media Plan for CityU of Seattle
Social Media Plan for CityU of SeattleSocial Media Plan for CityU of Seattle
Social Media Plan for CityU of SeattleDan Morrill
 
Case Studies In Social Media Chinese
Case Studies In Social Media ChineseCase Studies In Social Media Chinese
Case Studies In Social Media ChineseDan Morrill
 
Case Studies In Social Media
Case Studies In Social MediaCase Studies In Social Media
Case Studies In Social MediaDan Morrill
 

Plus de Dan Morrill (13)

Windows power shell and active directory
Windows power shell and active directoryWindows power shell and active directory
Windows power shell and active directory
 
Windows power shell basics
Windows power shell basicsWindows power shell basics
Windows power shell basics
 
Process monitoring in UNIX shell scripting
Process monitoring in UNIX shell scriptingProcess monitoring in UNIX shell scripting
Process monitoring in UNIX shell scripting
 
Creating a keystroke logger in unix shell scripting
Creating a keystroke logger in unix shell scriptingCreating a keystroke logger in unix shell scripting
Creating a keystroke logger in unix shell scripting
 
Understanding UNIX CASE and TPUT
Understanding UNIX CASE and TPUTUnderstanding UNIX CASE and TPUT
Understanding UNIX CASE and TPUT
 
Understanding the security_organization
Understanding the security_organizationUnderstanding the security_organization
Understanding the security_organization
 
Cis 216 – shell scripting
Cis 216 – shell scriptingCis 216 – shell scripting
Cis 216 – shell scripting
 
Understanding advanced persistent threats (APT)
Understanding advanced persistent threats (APT)Understanding advanced persistent threats (APT)
Understanding advanced persistent threats (APT)
 
AWS Hadoop and PIG and overview
AWS Hadoop and PIG and overviewAWS Hadoop and PIG and overview
AWS Hadoop and PIG and overview
 
Social Media Plan for CityU of Seattle
Social Media Plan for CityU of SeattleSocial Media Plan for CityU of Seattle
Social Media Plan for CityU of Seattle
 
BSIS Overview
BSIS OverviewBSIS Overview
BSIS Overview
 
Case Studies In Social Media Chinese
Case Studies In Social Media ChineseCase Studies In Social Media Chinese
Case Studies In Social Media Chinese
 
Case Studies In Social Media
Case Studies In Social MediaCase Studies In Social Media
Case Studies In Social Media
 

Dernier

Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DaySri Ambati
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 

Dernier (20)

Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 

Understanding web site analytics

  • 1. MBA 520 University of International Business and Economics Beijing China 2013 Understanding Web Site Analytics
  • 2. What are Web Site Analytics?  When we put data on the internet, we can track how that data is used or consumed by users  Web analytics is the measurement, collection, analysis and reporting of internet data for purposes of understanding and optimizing web usage  Web Analytics shows us how people use our data or our web site  Helps companies see what is popular and what is not  Helps e-commerce sites see what is popular, where customers drop off, and if they abandon the web site as they move through the system  Web analytics can show us how people share data off our site
  • 3. Terminology  Hit - A request for a file from the web server. Available only in log analysis. The number of hits received by a website is frequently cited to assert its popularity, but this number is extremely misleading and dramatically overestimates popularity. A single web-page typically consists of multiple (often dozens) of discrete files, each of which is counted as a hit as the page is downloaded, so the number of hits is really an arbitrary number more reflective of the complexity of individual pages on the website than the website's actual popularity. The total number of visits or page views provides a more realistic and accurate assessment of popularity.  Page view - A request for a file, or sometimes an event such as a mouse click, that is defined as a page in the setup of the web analytics tool. An occurrence of the script being run in page tagging. In log analysis, a single page view may generate multiple hits as all the resources required to view the page (images, .js and .css files) are also requested from the web server.
  • 4. Terminology  Visit / Session - A visit or session is defined as a series of page requests or, in the case of tags, image requests from the same uniquely identified client. A visit is considered ended when no requests have been recorded in some number of elapsed minutes. A 30 minute limit ("time out") is used by many analytics tools but can, in some tools, be changed to another number of minutes. Analytics data collectors and analysis tools have no reliable way of knowing if a visitor has looked at other sites between page views; a visit is considered one visit as long as the events (page views, clicks, whatever is being recorded) are 30 minutes or less closer together. Note that a visit can consist of one page view, or thousands.  First Visit / First Session - (also called 'Absolute Unique Visitor' in some tools) A visit from a uniquely identified client that has theoretically not made any previous visits. Since the only way of knowing whether the uniquely identified client has been to the site before is the presence of a persistent cookie that had been
  • 5. Terminology  Visitor / Unique Visitor / Unique User - The uniquely identified client that is generating page views or hits within a defined time period (e.g. day, week or month). A uniquely identified client is usually a combination of a machine (one's desktop computer at work for example) and a browser (Firefox on that machine). The identification is usually via a persistent cookie that has been placed on the computer by the site page code. An older method, used in log file analysis, is the unique combination of the computer's IP address and the User Agent (browser) information provided to the web server by the browser. It is important to understand that the "Visitor" is not the same as the human being sitting at the computer at the time of the visit, since an individual human can use different computers or, on the same computer, can use different browsers, and will be seen as a different visitor in each circumstance. Increasingly, but still somewhat rarely, visitors are uniquely identified by Flash LSO's (Local Shared Object), which are less susceptible to privacy enforcement.
  • 6. Terminology  Repeat Visitor - A visitor that has made at least one previous visit. The period between the last and current visit is called visitor recency and is measured in days.  New Visitor - A visitor that has not made any previous visits. This definition creates a certain amount of confusion (see common confusions below), and is sometimes substituted with analysis of first visits.  Impression - The most common definition of "Impression" is an instance of an advertisement appearing on a viewed page. Note that an advertisement can be displayed on a viewed page below the area actually displayed on the screen, so most measures of impressions do not necessarily mean an advertisement has been viewable.  Single Page Visit / Singleton - A visit in which only a single page is viewed (a 'bounce').  Bounce Rate - The percentage of visits that are single page
  • 7. Terminology  Page Time Viewed / Page Visibility Time / Page View Duration - The time a single page (or a blog, Ad Banner...) is on the screen, measured as the calculated difference between the time of the request for that page and the time of the next recorded request. If there is no next recorded request, then the viewing time of that instance of that page is not included in reports.  Session Duration / Visit Duration - Average amount of time that visitors spend on the site each time they visit. This metric can be complicated by the fact that analytics programs can not measure the length of the final page view.  Average Page View Duration - Average amount of time that visitors spend on an average page of the site.
  • 8. Terminology  Active Time / Engagement Time - Average amount of time that visitors spend actually interacting with content on a web page, based on mouse moves, clicks, hovers and scrolls. Unlike Session Duration and Page View Duration / Time on Page, this metric can accurately measure the length of engagement in the final page view, but it is not available in many analytics tools or data collection methods.  Average Page Depth / Page Views per Average Session - Page Depth is the approximate "size" of an average visit, calculated by dividing total number of page views by total number of visits.  Frequency / Session per Unique - Frequency measures how often visitors come to a website in a given time period. It is calculated by dividing the total number of sessions (or visits) by the total number of unique visitors during a specified time period, such as a month or year. Sometimes it is used interchangeable with the term "loyalty."  Click path - the chronological sequence of page views within a visit or session.  Click - "refers to a single instance of a user following a hyperlink from one page in a site to another".[8]  Site Overlay is a report technique in which statistics (clicks) or hot spots are superimposed, by physical location, on a visual snapshot of the web page.
  • 21. China
  • 26. Where did Visitors Come From?

Notes de l'éditeur

  1. http://en.wikipedia.org/wiki/Web_analytics