SlideShare a Scribd company logo
Web Analytics
Goals, Metrics, KPIs, Dimensions, Targets
Shipra Malik
Report Metrics
3
Web analytics is the measurement, collection, analysis and reporting of internet data for
purposes of understanding and optimizing web usage.
Web analytics is not just a tool for measuring web traffic but can be used as a tool for
business and market research, and to assess and improve the effectiveness of a web site.
Web analytics applications can also help companies measure the results of traditional print
or broadcast advertising campaigns. It helps one to estimate how traffic to a website changes
after the launch of a new advertising campaign. Web analytics provides information about
the number of visitors to a website and the number of page views. It helps gauge traffic and
popularity trends which is useful for market research.
Shipra Malik
KEY CONCEPTS
13
Shipra Malik
5. KEY CONCEPTS
• METRICS: "The columns" "The units". The actual count for a selected KPI
• KPIs: Key Performance Indicators - the important business measures for your
site e.g. Test Drives, Leads, BP
CORE METRICS
• VISITORS: person (IP Address) coming to the website
• VISITS: How many times has that visitor visited your website
• PAGE VIEWS/INSTANCES: counts the number of times an action occurred
Visitor
Visit Visit
VisitPage Page Page
View View View
Page Page Page
View View View
Page
View
Page
View
14
Shipra Malik
Web Analytics: Goals, Metrics, KPIs, Dimensions, Targets
13
Shipra Malik
Web Analytics: Goals, Metrics, KPIs, Dimensions, Targets
3
"What is the difference between a metric and a key performance indicator (KPI)?"
"What is a dimension in analytics?"
"What is segmentation?"
"Are goals metrics?"
And many more.
There seems to be genuine confusion about the simplest, most foundational, parts of web
metrics / analytics.
Source: Web Analytics 101
Shipra Malik
Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets
3
Business Objectives:
This is the answer to the question: "Why does your website exist?"
Or: "What are you hoping to accomplish for your business by being on the web?"
Or: "What are the three most important priorities for your site?"
Or other questions like that.
Without a clearly defined list of business objectives you are doomed, because if you don't
know where you are going then any road will take you there.
The objectives must be DUMB: Doable. Understandable. Manageable. Beneficial.
progress objectives directions90% of the failures in web analytics, the reasons companies are
data rich and information poor, is because they don't have DUMB objectives.
Shipra Malik
Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets
3
Goals:
Goals are specific strategies you'll leverage to accomplish your business objectives.
Business objectives can be quite strategic and high level. Sell more stuff. Create happy
customers. Improve marketing effectiveness.
Sell more stuff really means we have to:
1. do x 2. improve y 3. reduce z
Improve marketing effectiveness might translate into these goals because currently they are
our priorities:
1. identify broken things in m
2. figure out how to do n
3. experiment with p type of campaigns
Shipra Malik
Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets
3
Metric:
A metric is a number.
That is the simplest way to think about it.
Technically a metric can be a Count (a total) or a Ratio (a division of one number by another).
Examples of metrics that are a Count is Visits or Pageviews.
Metrics form the
life blood of all the
measurement we
do. They are the
reason we call the
web the most
accountable
channel on the
planet.
Shipra Malik
Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets
3
Key Performance Indicator:
Key performance indicators (KPI's) are metrics. But not normal metrics. They are our BFF's.
A key performance indicator (KPI) is a metric that helps you understand how you are doing
against your objectives.
That last word – objectives – is critical to something being called a KPI, which is also why KPI's
tend to be unique to each company.
For example, I run www.buyproducts.com. My business objective is to sell lots of stuff. My
web analytics KPI is: Average Order Size.
Business objective: Sell Stuff. KPI: Average Order Size.
I might use other metrics in my reports, say Visits or # of Videos Watched or whatever. But
they won't be my KPI's.
Business Objectives -> Goals -> KPI's -> Metrics -> Magic.
Shipra Malik
Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets
3
Targets:
Targets are numerical values you have pre-determined as indicators success or failure.
It is rare, even with the best intentions, that you'll create targets for all the metrics you'll
report on.
Yet it is critical that you create targets for each web analytics key performance indicator.
Shipra Malik
Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets
3
Dimension:
A dimension is, typically, an attribute of the Visitor to your website.
Here's a simplistic pictorial representation. . .
Shipra Malik
Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets
3
The source that someone came from (referring urls, campaigns, countries etc) is a dimension
in your web analytics data.
So is technical information like browsers or mobile phones or (god save you if you are still
doing daily reports on) screen resolution or ISP used.
The activity a person performed such as the landing page name, the subsequent pages they
saw, videos they played, searches they did on your website and the products they purchased
are all dimensions.
Finally the day they visited, the days since their last visit (if returning visitor) the number of
visits they made, the number of pages they saw are all dimensions as well. I know, they
sound like metrics. But they are, as the definition says up top, attributes of the visitor and
their activity on your website.
This is a crude way to think about it but… Dimensions almost always appear in rows in a
report / excel spreadsheet.
Shipra Malik
Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets
3
Dimensions allow you to group your data into different buckets and they are most
frequently used to slice and dice the web analytics data.
Shipra Malik
Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets
3
Segments:
A segment contains a group of rows from one or more dimensions.
In aggregate almost all data is useless (like # of Visits). The best way to find insights is to
segment the data using one or more dimensions (like # of Visits from: USA, UK, India as a %
of All Visits).
You segment by dimensions and report by metrics.
Shipra Malik
REPORT METRICS
13
Shipra Malik
Report Metrics
3
Building Block Terms:
Page, Page Views, Visits, Unique Visitors, New Visitor, Repeat Visitor, &Repeat Visitor.
Visit Characterization:
Entry Page, Landing Page, Exit Page, Visit Duration, Referrer, Internal Referrer, External
Referrer, Search Referrer, Visit Referrer, Original Referrer, Click-through, Click-through
Rate/Ratio, Page Views per Visit
Content Characterization:
Page Exit Ratio, Single-Page Visits, Bounce Rate
Conversion Metrics:
Event, Conversion
Shipra Malik
Report Metrics
3
Building Block Terms
Page
Type: Dimension
Calculation: An analyst definable unit of content.
Page View
Type: Count
Calculation: The number of times a page was viewed.
Visits (Sessions)
Type: Count
Calculation : A sequence of page views in a sitting. The visits metric is commonly used in
reports that display the number of user sessions within the selected time period.
The Visits Report measures traffic to your site by counting the number of sessions in a
given time period. You can use this report to observe traffic patterns, or to identify
impact of site modifications made on your site.
Shipra Malik
Report Metrics
3
Unique Visitors
Type: Count
Calculation: The number of inferred individual people (filtered for spiders and robots),
within a designated reporting timeframe, with activity consisting of one or more visits to
a site. Each individual is counted only once in the unique visitor measure for the
reporting period.
New Visitor
Type: Count
Calculation: The number of Unique Visitors with activity including a first-ever Visit to a
site during a reporting period. Note that "first-ever" is with respect to when data began
being properly collected on your site by your current tool.
Return(ing) Visitor
Type: Count
Calculation: The number of Unique Visitors with activity consisting of a Visit to a site
during a reporting period and where the Unique Visitor also Visited the site prior to the
reporting period.
Shipra Malik
Report Metrics
3
Repeat Visitor
Type: Count
Calculation: The number of Unique Visitors with activity consisting of two or more Visits
to a site during a reporting period.
Visit Characterization
Entry Page
Type: Dimension
Calculation: The Entry Pages report shows you which pages on your site were the first
page of a visit. You can use this report to identify which of your web pages are the most
frequent points of entry or to optimize the primary entry points on your site.
Landing Page
Type: Dimension
Calculation: A page view intended to identify the beginning of the user experience
resulting from a defined marketing effort.
Shipra Malik
Report Metrics
3
Exit Page
Type: Dimension
Calculation: The last page on a site accessed during a visit, signifying the end of a
visit/session.
Visit Duration
Type: Count
Calculation: The length of time in a session. Calculation is typically the timestamp of the
last activity in the session minus the timestamp of the first activity of the session.
Traffic Sources: The Referrer Type report takes all referring traffic to your site and categorizes
them based on domain. This report can be helpful in determining which general methods
users are accessing your site. Using Marketing Channels may be better in obtaining this
information, however the Referrer Type report takes much less configuration in order to work
properly.
Referrer
Type: Dimension
Calculation: Referrer is a generic term that describes the source of traffic to a page or visit.
Shipra Malik
Report Metrics
3
Exit Page
Type: Dimension
Calculation: The last page on a site accessed during a visit, signifying the end of a
visit/session.
Visit Duration
Type: Count
Calculation: The length of time in a session. Calculation is typically the timestamp of the
last activity in the session minus the timestamp of the first activity of the session.
Traffic Sources: The Referrer Type report takes all referring traffic to your site and categorizes
them based on domain. This report can be helpful in determining which general methods
users are accessing your site. Using Marketing Channels may be better in obtaining this
information, however the Referrer Type report takes much less configuration in order to work
properly.
Referrer
Type: Dimension
Calculation: Referrer is a generic term that describes the source of traffic to a page or visit.
Shipra Malik
Report Metrics
3
• Internal Referrer - The internal referrer is a page URL that is internal to the web site or a
web-property within the web site as defined by the user. Not all tools report internal
referrers as a group.
• External Referrer - The external referrer is a page URL where the traffic is external or
outside of the web site or a web-property defined by the user.
• Search Referrer - The search referrer is an internal or external referrer for which the URL
has been generated by a search function. Many tools segment and report on search
referrers as a group; however the exact definitions vary from tool to tool. Most will
include the "big" search engines, such as Yahoo, Google, and MSN/Live. However, they
vary in whether or not they exclude mail servers from these sources, or whether they use
wildcards to capture any URL containing the word "search.“
Click-through
Type: Count
Calculation: Number of times a link was clicked by a visitor.
Shipra Malik
Report Metrics
3
Click-through Rate/Ratio
Type: Ratio
Calculation: The number of click-throughs for a specific link divided by the number of
times that link was viewed.
Page Views per Visit
Type: Ratio
Universe: Aggregate, Segmented, Individual
Calculation: The number of page views in a reporting period divided by number of visits
in the same reporting period.
Content Characterization
Page Exit Ratio
Type: Ratio
Calculation: Number of exits from a page divided by total number of page views of that
page.
Shipra Malik
Report Metrics
3
Single Page Visits (Bounces)
Type: Dimension or Count
Calculation: A visit that consists of one page view.
Bounce Rate
Type: Ratio
Calculation: Single page visits divided by entry pages.
Conversion Metrics
Conversion terms record special activities on a site, such
as purchases, that have particular business value for the analyst.
They often represent the bottom-line “success” for a visit.
Event
Type: Dimension and/or Count
Calculation: Any logged or recorded action that has a specific date and time assigned to
it by either the browser or server.
Shipra Malik
Report Metrics
3
Conversion
Type: Dimension or Count
Calculation: The number of times a desired outcome was accomplished.
Because a Conversion can be both a metric and a count, a web analytics report may show
“number of conversions,” “number of purchases,” “number of sign-ups,” etc. (conversion as a
count), or it may show specific conversions and how many events, page views, visits, or
unique visitors were associated with the conversion (conversion as a dimension).
Conversion Rate
Type: Ratio
Calculation: The ratio of conversions over a relevant denominator.
Shipra Malik
Report Metrics (SiteCatalyst)
3
• Keywords: The Search Keywords reports show the search keywords (or search phrases) that
customers used to arrive at your site, and how those customers affected your site’s Success Metrics.
This can help you determine how to better tailor your site code, such as META tags, or which
keywords to register with search engines. You can see if certain keywords resulted in more orders or
if other keywords caused higher instances of cart additions
• Top Pages: The Pages report ranks the pages on your site based on those that receive the most
traffic. By default, pages are ranked by the number of times they were viewed, with the pages
receiving the most page views listed first. You can use this report to view which pages associated
with products users are most interested in, measure pages in their effectiveness to conversion
events, or to simply view all page traffic in a single easy-to-read report.
• Top Banner ID’s: There are several common ways to track internal campaigns (such as banner ads
that lead to other portions of your site) in SiteCatalyst. Each method uses an eVar, which by nature
can associate conversion beyond the page it was defined on.
• File Downloads: The SiteCatalyst File Downloads Report helps you understand how often your
visitors download files from your site. Examples of file downloads may be word processor
documents, spreadsheets, audio files, movie files, user manuals, etc. This includes both files being
saved and opened directly from the browser, as well as files saved to the user's computer. The report
shows the name of the file being downloaded, including the complete URL required to access the
file.
Shipra Malik
Q&A
• What Questions do you have?
26
Shipra Malik

More Related Content

What's hot

Introduction to Google Analytics
Introduction to Google AnalyticsIntroduction to Google Analytics
Introduction to Google Analytics
Mary Kay Jerige Lofurno
 
Digital analytics Adobe Symposium
Digital analytics Adobe SymposiumDigital analytics Adobe Symposium
Digital analytics Adobe Symposium
Kashif Khurshid
 
Teradata Integrated Web Intelligence
Teradata Integrated Web IntelligenceTeradata Integrated Web Intelligence
Teradata Integrated Web Intelligence
Teradata
 
Google analytics
Google analyticsGoogle analytics
Google analytics
RoopkathaRupali
 
Affiliate Summit Orlando Meetup Group: Google Analytics for Beginners
Affiliate Summit Orlando Meetup Group:  Google Analytics for BeginnersAffiliate Summit Orlando Meetup Group:  Google Analytics for Beginners
Affiliate Summit Orlando Meetup Group: Google Analytics for Beginners
Missy Ward
 
Google Analytics & Web Masters Tools - GBG Mumbai
Google Analytics & Web Masters Tools - GBG MumbaiGoogle Analytics & Web Masters Tools - GBG Mumbai
Google Analytics & Web Masters Tools - GBG Mumbai
GBG Mumbai
 
Clickstream Data Warehouse - Turning clicks into customers
Clickstream Data Warehouse - Turning clicks into customersClickstream Data Warehouse - Turning clicks into customers
Clickstream Data Warehouse - Turning clicks into customers
Albert Hui
 
Introduction to web analytics
Introduction to web analyticsIntroduction to web analytics
Introduction to web analytics
Rajeev Pillai
 
Web Analytics 101
Web Analytics 101Web Analytics 101
Web Analytics 101
Nilotpal Paul
 
Web log & clickstream
Web log & clickstream Web log & clickstream
Web log & clickstream
Michel Bruley
 
Bigdataanalytics
BigdataanalyticsBigdataanalytics
Bigdataanalytics
Haroon Karim
 
Web analytics white paper Quiterian
Web analytics white paper QuiterianWeb analytics white paper Quiterian
Web analytics white paper Quiterian
Josep Arroyo
 
Webinar: AI and Machine Learning for Omnichannel Retailers
Webinar: AI and Machine Learning for Omnichannel RetailersWebinar: AI and Machine Learning for Omnichannel Retailers
Webinar: AI and Machine Learning for Omnichannel Retailers
Lucidworks
 
Kentico11 Launch Webinar
Kentico11 Launch WebinarKentico11 Launch Webinar
Kentico11 Launch Webinar
Kentico Software
 
Web Analytics Architecture
Web Analytics ArchitectureWeb Analytics Architecture
Web Analytics Architecture
Infosys
 
360 digital marketing metadata Leipzig 2014
360 digital marketing metadata Leipzig 2014360 digital marketing metadata Leipzig 2014
360 digital marketing metadata Leipzig 2014
Heimo Hänninen
 
The power of BI
The power of BIThe power of BI
The power of BI
Shahid Butt
 
Introduction to Google Analytics
Introduction to Google AnalyticsIntroduction to Google Analytics
Introduction to Google Analytics
Arjun Parekh
 
Web analytics presentation
Web analytics presentationWeb analytics presentation
Web analytics presentation
Jim Jansen
 
Combining Methods: Web Analytics and User Research
Combining Methods: Web Analytics and User ResearchCombining Methods: Web Analytics and User Research
Combining Methods: Web Analytics and User Research
User Intelligence
 

What's hot (20)

Introduction to Google Analytics
Introduction to Google AnalyticsIntroduction to Google Analytics
Introduction to Google Analytics
 
Digital analytics Adobe Symposium
Digital analytics Adobe SymposiumDigital analytics Adobe Symposium
Digital analytics Adobe Symposium
 
Teradata Integrated Web Intelligence
Teradata Integrated Web IntelligenceTeradata Integrated Web Intelligence
Teradata Integrated Web Intelligence
 
Google analytics
Google analyticsGoogle analytics
Google analytics
 
Affiliate Summit Orlando Meetup Group: Google Analytics for Beginners
Affiliate Summit Orlando Meetup Group:  Google Analytics for BeginnersAffiliate Summit Orlando Meetup Group:  Google Analytics for Beginners
Affiliate Summit Orlando Meetup Group: Google Analytics for Beginners
 
Google Analytics & Web Masters Tools - GBG Mumbai
Google Analytics & Web Masters Tools - GBG MumbaiGoogle Analytics & Web Masters Tools - GBG Mumbai
Google Analytics & Web Masters Tools - GBG Mumbai
 
Clickstream Data Warehouse - Turning clicks into customers
Clickstream Data Warehouse - Turning clicks into customersClickstream Data Warehouse - Turning clicks into customers
Clickstream Data Warehouse - Turning clicks into customers
 
Introduction to web analytics
Introduction to web analyticsIntroduction to web analytics
Introduction to web analytics
 
Web Analytics 101
Web Analytics 101Web Analytics 101
Web Analytics 101
 
Web log & clickstream
Web log & clickstream Web log & clickstream
Web log & clickstream
 
Bigdataanalytics
BigdataanalyticsBigdataanalytics
Bigdataanalytics
 
Web analytics white paper Quiterian
Web analytics white paper QuiterianWeb analytics white paper Quiterian
Web analytics white paper Quiterian
 
Webinar: AI and Machine Learning for Omnichannel Retailers
Webinar: AI and Machine Learning for Omnichannel RetailersWebinar: AI and Machine Learning for Omnichannel Retailers
Webinar: AI and Machine Learning for Omnichannel Retailers
 
Kentico11 Launch Webinar
Kentico11 Launch WebinarKentico11 Launch Webinar
Kentico11 Launch Webinar
 
Web Analytics Architecture
Web Analytics ArchitectureWeb Analytics Architecture
Web Analytics Architecture
 
360 digital marketing metadata Leipzig 2014
360 digital marketing metadata Leipzig 2014360 digital marketing metadata Leipzig 2014
360 digital marketing metadata Leipzig 2014
 
The power of BI
The power of BIThe power of BI
The power of BI
 
Introduction to Google Analytics
Introduction to Google AnalyticsIntroduction to Google Analytics
Introduction to Google Analytics
 
Web analytics presentation
Web analytics presentationWeb analytics presentation
Web analytics presentation
 
Combining Methods: Web Analytics and User Research
Combining Methods: Web Analytics and User ResearchCombining Methods: Web Analytics and User Research
Combining Methods: Web Analytics and User Research
 

Viewers also liked

WEB Analytics - Data Mining - MIS - eBusiness website
WEB Analytics  - Data Mining - MIS - eBusiness website WEB Analytics  - Data Mining - MIS - eBusiness website
WEB Analytics - Data Mining - MIS - eBusiness website
Jyotindra Zaveri
 
20140806 AWS Meister BlackBelt - Amazon Redshift (Korean)
20140806 AWS Meister BlackBelt - Amazon Redshift (Korean)20140806 AWS Meister BlackBelt - Amazon Redshift (Korean)
20140806 AWS Meister BlackBelt - Amazon Redshift (Korean)
Amazon Web Services Korea
 
Clickstream & Social Media Analysis using Apache Spark
Clickstream & Social Media Analysis using Apache SparkClickstream & Social Media Analysis using Apache Spark
Visual Mapping of Clickstream Data
Visual Mapping of Clickstream DataVisual Mapping of Clickstream Data
Visual Mapping of Clickstream DataDataWorks Summit
 
(GAM301) Real-Time Game Analytics with Amazon Kinesis, Amazon Redshift, and A...
(GAM301) Real-Time Game Analytics with Amazon Kinesis, Amazon Redshift, and A...(GAM301) Real-Time Game Analytics with Amazon Kinesis, Amazon Redshift, and A...
(GAM301) Real-Time Game Analytics with Amazon Kinesis, Amazon Redshift, and A...
Amazon Web Services
 
Why use big data tools to do web analytics? And how to do it using Snowplow a...
Why use big data tools to do web analytics? And how to do it using Snowplow a...Why use big data tools to do web analytics? And how to do it using Snowplow a...
Why use big data tools to do web analytics? And how to do it using Snowplow a...
yalisassoon
 
찾아가는 AWS 세미나(구로,가산,판교) - AWS 기반 빅데이터 활용 방법 (김일호 솔루션즈 아키텍트)
찾아가는 AWS 세미나(구로,가산,판교) - AWS 기반 빅데이터 활용 방법 (김일호 솔루션즈 아키텍트)찾아가는 AWS 세미나(구로,가산,판교) - AWS 기반 빅데이터 활용 방법 (김일호 솔루션즈 아키텍트)
찾아가는 AWS 세미나(구로,가산,판교) - AWS 기반 빅데이터 활용 방법 (김일호 솔루션즈 아키텍트)
Amazon Web Services Korea
 
AWS CLOUD 2017 - Amazon Redshift 기반 DW 와 비지니스 인텔리전스 구현 방법 (김일호 솔루션즈 아키텍트)
AWS CLOUD 2017 - Amazon Redshift 기반 DW 와 비지니스 인텔리전스 구현 방법 (김일호 솔루션즈 아키텍트)AWS CLOUD 2017 - Amazon Redshift 기반 DW 와 비지니스 인텔리전스 구현 방법 (김일호 솔루션즈 아키텍트)
AWS CLOUD 2017 - Amazon Redshift 기반 DW 와 비지니스 인텔리전스 구현 방법 (김일호 솔루션즈 아키텍트)
Amazon Web Services Korea
 
Building an Effective Data Warehouse Architecture
Building an Effective Data Warehouse ArchitectureBuilding an Effective Data Warehouse Architecture
Building an Effective Data Warehouse Architecture
James Serra
 

Viewers also liked (9)

WEB Analytics - Data Mining - MIS - eBusiness website
WEB Analytics  - Data Mining - MIS - eBusiness website WEB Analytics  - Data Mining - MIS - eBusiness website
WEB Analytics - Data Mining - MIS - eBusiness website
 
20140806 AWS Meister BlackBelt - Amazon Redshift (Korean)
20140806 AWS Meister BlackBelt - Amazon Redshift (Korean)20140806 AWS Meister BlackBelt - Amazon Redshift (Korean)
20140806 AWS Meister BlackBelt - Amazon Redshift (Korean)
 
Clickstream & Social Media Analysis using Apache Spark
Clickstream & Social Media Analysis using Apache SparkClickstream & Social Media Analysis using Apache Spark
Clickstream & Social Media Analysis using Apache Spark
 
Visual Mapping of Clickstream Data
Visual Mapping of Clickstream DataVisual Mapping of Clickstream Data
Visual Mapping of Clickstream Data
 
(GAM301) Real-Time Game Analytics with Amazon Kinesis, Amazon Redshift, and A...
(GAM301) Real-Time Game Analytics with Amazon Kinesis, Amazon Redshift, and A...(GAM301) Real-Time Game Analytics with Amazon Kinesis, Amazon Redshift, and A...
(GAM301) Real-Time Game Analytics with Amazon Kinesis, Amazon Redshift, and A...
 
Why use big data tools to do web analytics? And how to do it using Snowplow a...
Why use big data tools to do web analytics? And how to do it using Snowplow a...Why use big data tools to do web analytics? And how to do it using Snowplow a...
Why use big data tools to do web analytics? And how to do it using Snowplow a...
 
찾아가는 AWS 세미나(구로,가산,판교) - AWS 기반 빅데이터 활용 방법 (김일호 솔루션즈 아키텍트)
찾아가는 AWS 세미나(구로,가산,판교) - AWS 기반 빅데이터 활용 방법 (김일호 솔루션즈 아키텍트)찾아가는 AWS 세미나(구로,가산,판교) - AWS 기반 빅데이터 활용 방법 (김일호 솔루션즈 아키텍트)
찾아가는 AWS 세미나(구로,가산,판교) - AWS 기반 빅데이터 활용 방법 (김일호 솔루션즈 아키텍트)
 
AWS CLOUD 2017 - Amazon Redshift 기반 DW 와 비지니스 인텔리전스 구현 방법 (김일호 솔루션즈 아키텍트)
AWS CLOUD 2017 - Amazon Redshift 기반 DW 와 비지니스 인텔리전스 구현 방법 (김일호 솔루션즈 아키텍트)AWS CLOUD 2017 - Amazon Redshift 기반 DW 와 비지니스 인텔리전스 구현 방법 (김일호 솔루션즈 아키텍트)
AWS CLOUD 2017 - Amazon Redshift 기반 DW 와 비지니스 인텔리전스 구현 방법 (김일호 솔루션즈 아키텍트)
 
Building an Effective Data Warehouse Architecture
Building an Effective Data Warehouse ArchitectureBuilding an Effective Data Warehouse Architecture
Building an Effective Data Warehouse Architecture
 

Similar to Web Metircs and KPI

Web Analytics
Web AnalyticsWeb Analytics
Web Analytics
MuskanHooda5
 
Website Analytics
Website AnalyticsWebsite Analytics
Website Analytics
Capturly
 
An Introduction to Web Analytics
An Introduction to Web AnalyticsAn Introduction to Web Analytics
An Introduction to Web Analytics
iexpertsforum
 
Drive Your Business with Google Analytics
Drive Your Businesswith Google AnalyticsDrive Your Businesswith Google Analytics
Drive Your Business with Google Analytics
Sean Clark
 
Web analytics an intro
Web analytics   an introWeb analytics   an intro
Web analytics an intro
Ashokkumar T A
 
Complete Google analytics document
Complete Google analytics documentComplete Google analytics document
Complete Google analytics document
Parshuram Yadav
 
How Much Traffic Does This Website Get.pdf
How Much Traffic Does This Website Get.pdfHow Much Traffic Does This Website Get.pdf
How Much Traffic Does This Website Get.pdf
Host It Smart
 
Conversion Rate Optimization
Conversion Rate OptimizationConversion Rate Optimization
Conversion Rate Optimization
baleeghuddin1990
 
Introduction to Google Analytics
Introduction to Google AnalyticsIntroduction to Google Analytics
Introduction to Google Analytics
Cemal Buyukgokcesu
 
Google Analytics: understanding the data correctly
Google Analytics: understanding the data correctlyGoogle Analytics: understanding the data correctly
Google Analytics: understanding the data correctly
Promodo
 
Google Analytics ppt
Google Analytics  pptGoogle Analytics  ppt
Google Analytics ppt
SoftProdigy - We know software!
 
230286802015PPT.pptx
230286802015PPT.pptx230286802015PPT.pptx
230286802015PPT.pptx
annalakshmi35
 
Google Analytics for Dummies
Google Analytics for DummiesGoogle Analytics for Dummies
Google Analytics for DummiesTim Lelek
 
SPACC IT Day Azul7 Analytics Presentation
SPACC IT Day Azul7 Analytics PresentationSPACC IT Day Azul7 Analytics Presentation
SPACC IT Day Azul7 Analytics PresentationAzul 7
 
Digital Marketing Course Week 4: Digital Analytics
Digital Marketing Course Week 4: Digital AnalyticsDigital Marketing Course Week 4: Digital Analytics
Digital Marketing Course Week 4: Digital Analytics
Ayca Turhan
 
Google Analytics 101
Google Analytics 101Google Analytics 101
Google Analytics 101
Ben Brooks
 
How To Promote Your Online Visibility Using Web Analytics. How To Promote You...
How To Promote Your Online Visibility Using Web Analytics. How To Promote You...How To Promote Your Online Visibility Using Web Analytics. How To Promote You...
How To Promote Your Online Visibility Using Web Analytics. How To Promote You...Overalia
 
7 essential google analytics reports
7 essential google analytics reports7 essential google analytics reports
7 essential google analytics reports
THINK IT Training
 
Measuring Digital marketing - ROI & KPIs
Measuring Digital marketing - ROI & KPIsMeasuring Digital marketing - ROI & KPIs
Measuring Digital marketing - ROI & KPIs
Ankur Garg
 

Similar to Web Metircs and KPI (20)

Web Analytics
Web AnalyticsWeb Analytics
Web Analytics
 
Website Analytics
Website AnalyticsWebsite Analytics
Website Analytics
 
An Introduction to Web Analytics
An Introduction to Web AnalyticsAn Introduction to Web Analytics
An Introduction to Web Analytics
 
Drive Your Business with Google Analytics
Drive Your Businesswith Google AnalyticsDrive Your Businesswith Google Analytics
Drive Your Business with Google Analytics
 
Web analytics an intro
Web analytics   an introWeb analytics   an intro
Web analytics an intro
 
Complete Google analytics document
Complete Google analytics documentComplete Google analytics document
Complete Google analytics document
 
How Much Traffic Does This Website Get.pdf
How Much Traffic Does This Website Get.pdfHow Much Traffic Does This Website Get.pdf
How Much Traffic Does This Website Get.pdf
 
Conversion Rate Optimization
Conversion Rate OptimizationConversion Rate Optimization
Conversion Rate Optimization
 
Introduction to Google Analytics
Introduction to Google AnalyticsIntroduction to Google Analytics
Introduction to Google Analytics
 
Google Analytics: understanding the data correctly
Google Analytics: understanding the data correctlyGoogle Analytics: understanding the data correctly
Google Analytics: understanding the data correctly
 
Google Analytics ppt
Google Analytics  pptGoogle Analytics  ppt
Google Analytics ppt
 
230286802015PPT.pptx
230286802015PPT.pptx230286802015PPT.pptx
230286802015PPT.pptx
 
Google Analytics for Dummies
Google Analytics for DummiesGoogle Analytics for Dummies
Google Analytics for Dummies
 
SPACC IT Day Azul7 Analytics Presentation
SPACC IT Day Azul7 Analytics PresentationSPACC IT Day Azul7 Analytics Presentation
SPACC IT Day Azul7 Analytics Presentation
 
Digital Marketing Course Week 4: Digital Analytics
Digital Marketing Course Week 4: Digital AnalyticsDigital Marketing Course Week 4: Digital Analytics
Digital Marketing Course Week 4: Digital Analytics
 
dabblr_report_final
dabblr_report_finaldabblr_report_final
dabblr_report_final
 
Google Analytics 101
Google Analytics 101Google Analytics 101
Google Analytics 101
 
How To Promote Your Online Visibility Using Web Analytics. How To Promote You...
How To Promote Your Online Visibility Using Web Analytics. How To Promote You...How To Promote Your Online Visibility Using Web Analytics. How To Promote You...
How To Promote Your Online Visibility Using Web Analytics. How To Promote You...
 
7 essential google analytics reports
7 essential google analytics reports7 essential google analytics reports
7 essential google analytics reports
 
Measuring Digital marketing - ROI & KPIs
Measuring Digital marketing - ROI & KPIsMeasuring Digital marketing - ROI & KPIs
Measuring Digital marketing - ROI & KPIs
 

More from Shipra Malik

SEO 2012 - The Beginners Guide
SEO 2012 - The Beginners GuideSEO 2012 - The Beginners Guide
SEO 2012 - The Beginners GuideShipra Malik
 
Guide to web trends query parameters
Guide to web trends query parametersGuide to web trends query parameters
Guide to web trends query parametersShipra Malik
 
Seo past, present, future
Seo   past, present, futureSeo   past, present, future
Seo past, present, futureShipra Malik
 
Google ranking evolution
Google ranking evolutionGoogle ranking evolution
Google ranking evolutionShipra Malik
 
Advanced seo for e commerce site
Advanced seo for e commerce siteAdvanced seo for e commerce site
Advanced seo for e commerce siteShipra Malik
 
Google's ranking factors 2011
Google's ranking factors 2011Google's ranking factors 2011
Google's ranking factors 2011Shipra Malik
 
Best of Web Analytics Guide
Best of Web Analytics GuideBest of Web Analytics Guide
Best of Web Analytics GuideShipra Malik
 
Selling the Mobile Web
Selling the Mobile WebSelling the Mobile Web
Selling the Mobile WebShipra Malik
 
The Ultimate Time Management Guide
The Ultimate Time Management GuideThe Ultimate Time Management Guide
The Ultimate Time Management GuideShipra Malik
 
Killer internet marketing strategies
Killer internet marketing strategiesKiller internet marketing strategies
Killer internet marketing strategiesShipra Malik
 

More from Shipra Malik (12)

SEO 2012 - The Beginners Guide
SEO 2012 - The Beginners GuideSEO 2012 - The Beginners Guide
SEO 2012 - The Beginners Guide
 
Guide to web trends query parameters
Guide to web trends query parametersGuide to web trends query parameters
Guide to web trends query parameters
 
Seo training
Seo trainingSeo training
Seo training
 
Seo past, present, future
Seo   past, present, futureSeo   past, present, future
Seo past, present, future
 
Google ranking evolution
Google ranking evolutionGoogle ranking evolution
Google ranking evolution
 
Advanced seo for e commerce site
Advanced seo for e commerce siteAdvanced seo for e commerce site
Advanced seo for e commerce site
 
Google's ranking factors 2011
Google's ranking factors 2011Google's ranking factors 2011
Google's ranking factors 2011
 
Best of Web Analytics Guide
Best of Web Analytics GuideBest of Web Analytics Guide
Best of Web Analytics Guide
 
Selling the Mobile Web
Selling the Mobile WebSelling the Mobile Web
Selling the Mobile Web
 
The Ultimate Time Management Guide
The Ultimate Time Management GuideThe Ultimate Time Management Guide
The Ultimate Time Management Guide
 
Killer internet marketing strategies
Killer internet marketing strategiesKiller internet marketing strategies
Killer internet marketing strategies
 
Marketing 3.0
Marketing 3.0Marketing 3.0
Marketing 3.0
 

Recently uploaded

AI and Covert Influence Operations: Latest Trends
AI and Covert Influence Operations: Latest TrendsAI and Covert Influence Operations: Latest Trends
AI and Covert Influence Operations: Latest Trends
CI kumparan
 
role of women and girls in various terror groups
role of women and girls in various terror groupsrole of women and girls in various terror groups
role of women and girls in various terror groups
sadiakorobi2
 
Draft-1-Resolutions-Key-Interventions-.pdf
Draft-1-Resolutions-Key-Interventions-.pdfDraft-1-Resolutions-Key-Interventions-.pdf
Draft-1-Resolutions-Key-Interventions-.pdf
bhavenpr
 
Do Linguistics Still Matter in the Age of Large Language Models.pptx
Do Linguistics Still Matter in the Age of Large Language Models.pptxDo Linguistics Still Matter in the Age of Large Language Models.pptx
Do Linguistics Still Matter in the Age of Large Language Models.pptx
Slator- Language Industry Intelligence
 
01062024_First India Newspaper Jaipur.pdf
01062024_First India Newspaper Jaipur.pdf01062024_First India Newspaper Jaipur.pdf
01062024_First India Newspaper Jaipur.pdf
FIRST INDIA
 
2024 is the point of certainty. Forecast of UIF experts
2024 is the point of certainty. Forecast of UIF experts2024 is the point of certainty. Forecast of UIF experts
2024 is the point of certainty. Forecast of UIF experts
olaola5673
 
Preview of Court Document for Iseyin community
Preview of Court Document for Iseyin communityPreview of Court Document for Iseyin community
Preview of Court Document for Iseyin community
contact193699
 
03062024_First India Newspaper Jaipur.pdf
03062024_First India Newspaper Jaipur.pdf03062024_First India Newspaper Jaipur.pdf
03062024_First India Newspaper Jaipur.pdf
FIRST INDIA
 
Resolutions-Key-Interventions-28-May-2024.pdf
Resolutions-Key-Interventions-28-May-2024.pdfResolutions-Key-Interventions-28-May-2024.pdf
Resolutions-Key-Interventions-28-May-2024.pdf
bhavenpr
 
Codes n Conventionss copy (1).paaaaaaptx
Codes n Conventionss copy (1).paaaaaaptxCodes n Conventionss copy (1).paaaaaaptx
Codes n Conventionss copy (1).paaaaaaptx
ZackSpencer3
 
Hogan Comes Home: an MIA WWII crewman is returned
Hogan Comes Home: an MIA WWII crewman is returnedHogan Comes Home: an MIA WWII crewman is returned
Hogan Comes Home: an MIA WWII crewman is returned
rbakerj2
 
Sharjeel-Imam-Judgement-CRLA-215-2024_29-05-2024.pdf
Sharjeel-Imam-Judgement-CRLA-215-2024_29-05-2024.pdfSharjeel-Imam-Judgement-CRLA-215-2024_29-05-2024.pdf
Sharjeel-Imam-Judgement-CRLA-215-2024_29-05-2024.pdf
bhavenpr
 
31052024_First India Newspaper Jaipur.pdf
31052024_First India Newspaper Jaipur.pdf31052024_First India Newspaper Jaipur.pdf
31052024_First India Newspaper Jaipur.pdf
FIRST INDIA
 

Recently uploaded (13)

AI and Covert Influence Operations: Latest Trends
AI and Covert Influence Operations: Latest TrendsAI and Covert Influence Operations: Latest Trends
AI and Covert Influence Operations: Latest Trends
 
role of women and girls in various terror groups
role of women and girls in various terror groupsrole of women and girls in various terror groups
role of women and girls in various terror groups
 
Draft-1-Resolutions-Key-Interventions-.pdf
Draft-1-Resolutions-Key-Interventions-.pdfDraft-1-Resolutions-Key-Interventions-.pdf
Draft-1-Resolutions-Key-Interventions-.pdf
 
Do Linguistics Still Matter in the Age of Large Language Models.pptx
Do Linguistics Still Matter in the Age of Large Language Models.pptxDo Linguistics Still Matter in the Age of Large Language Models.pptx
Do Linguistics Still Matter in the Age of Large Language Models.pptx
 
01062024_First India Newspaper Jaipur.pdf
01062024_First India Newspaper Jaipur.pdf01062024_First India Newspaper Jaipur.pdf
01062024_First India Newspaper Jaipur.pdf
 
2024 is the point of certainty. Forecast of UIF experts
2024 is the point of certainty. Forecast of UIF experts2024 is the point of certainty. Forecast of UIF experts
2024 is the point of certainty. Forecast of UIF experts
 
Preview of Court Document for Iseyin community
Preview of Court Document for Iseyin communityPreview of Court Document for Iseyin community
Preview of Court Document for Iseyin community
 
03062024_First India Newspaper Jaipur.pdf
03062024_First India Newspaper Jaipur.pdf03062024_First India Newspaper Jaipur.pdf
03062024_First India Newspaper Jaipur.pdf
 
Resolutions-Key-Interventions-28-May-2024.pdf
Resolutions-Key-Interventions-28-May-2024.pdfResolutions-Key-Interventions-28-May-2024.pdf
Resolutions-Key-Interventions-28-May-2024.pdf
 
Codes n Conventionss copy (1).paaaaaaptx
Codes n Conventionss copy (1).paaaaaaptxCodes n Conventionss copy (1).paaaaaaptx
Codes n Conventionss copy (1).paaaaaaptx
 
Hogan Comes Home: an MIA WWII crewman is returned
Hogan Comes Home: an MIA WWII crewman is returnedHogan Comes Home: an MIA WWII crewman is returned
Hogan Comes Home: an MIA WWII crewman is returned
 
Sharjeel-Imam-Judgement-CRLA-215-2024_29-05-2024.pdf
Sharjeel-Imam-Judgement-CRLA-215-2024_29-05-2024.pdfSharjeel-Imam-Judgement-CRLA-215-2024_29-05-2024.pdf
Sharjeel-Imam-Judgement-CRLA-215-2024_29-05-2024.pdf
 
31052024_First India Newspaper Jaipur.pdf
31052024_First India Newspaper Jaipur.pdf31052024_First India Newspaper Jaipur.pdf
31052024_First India Newspaper Jaipur.pdf
 

Web Metircs and KPI

  • 1. Web Analytics Goals, Metrics, KPIs, Dimensions, Targets Shipra Malik
  • 2. Report Metrics 3 Web analytics is the measurement, collection, analysis and reporting of internet data for purposes of understanding and optimizing web usage. Web analytics is not just a tool for measuring web traffic but can be used as a tool for business and market research, and to assess and improve the effectiveness of a web site. Web analytics applications can also help companies measure the results of traditional print or broadcast advertising campaigns. It helps one to estimate how traffic to a website changes after the launch of a new advertising campaign. Web analytics provides information about the number of visitors to a website and the number of page views. It helps gauge traffic and popularity trends which is useful for market research. Shipra Malik
  • 4. 5. KEY CONCEPTS • METRICS: "The columns" "The units". The actual count for a selected KPI • KPIs: Key Performance Indicators - the important business measures for your site e.g. Test Drives, Leads, BP CORE METRICS • VISITORS: person (IP Address) coming to the website • VISITS: How many times has that visitor visited your website • PAGE VIEWS/INSTANCES: counts the number of times an action occurred Visitor Visit Visit VisitPage Page Page View View View Page Page Page View View View Page View Page View 14 Shipra Malik
  • 5. Web Analytics: Goals, Metrics, KPIs, Dimensions, Targets 13 Shipra Malik
  • 6. Web Analytics: Goals, Metrics, KPIs, Dimensions, Targets 3 "What is the difference between a metric and a key performance indicator (KPI)?" "What is a dimension in analytics?" "What is segmentation?" "Are goals metrics?" And many more. There seems to be genuine confusion about the simplest, most foundational, parts of web metrics / analytics. Source: Web Analytics 101 Shipra Malik
  • 7. Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets 3 Business Objectives: This is the answer to the question: "Why does your website exist?" Or: "What are you hoping to accomplish for your business by being on the web?" Or: "What are the three most important priorities for your site?" Or other questions like that. Without a clearly defined list of business objectives you are doomed, because if you don't know where you are going then any road will take you there. The objectives must be DUMB: Doable. Understandable. Manageable. Beneficial. progress objectives directions90% of the failures in web analytics, the reasons companies are data rich and information poor, is because they don't have DUMB objectives. Shipra Malik
  • 8. Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets 3 Goals: Goals are specific strategies you'll leverage to accomplish your business objectives. Business objectives can be quite strategic and high level. Sell more stuff. Create happy customers. Improve marketing effectiveness. Sell more stuff really means we have to: 1. do x 2. improve y 3. reduce z Improve marketing effectiveness might translate into these goals because currently they are our priorities: 1. identify broken things in m 2. figure out how to do n 3. experiment with p type of campaigns Shipra Malik
  • 9. Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets 3 Metric: A metric is a number. That is the simplest way to think about it. Technically a metric can be a Count (a total) or a Ratio (a division of one number by another). Examples of metrics that are a Count is Visits or Pageviews. Metrics form the life blood of all the measurement we do. They are the reason we call the web the most accountable channel on the planet. Shipra Malik
  • 10. Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets 3 Key Performance Indicator: Key performance indicators (KPI's) are metrics. But not normal metrics. They are our BFF's. A key performance indicator (KPI) is a metric that helps you understand how you are doing against your objectives. That last word – objectives – is critical to something being called a KPI, which is also why KPI's tend to be unique to each company. For example, I run www.buyproducts.com. My business objective is to sell lots of stuff. My web analytics KPI is: Average Order Size. Business objective: Sell Stuff. KPI: Average Order Size. I might use other metrics in my reports, say Visits or # of Videos Watched or whatever. But they won't be my KPI's. Business Objectives -> Goals -> KPI's -> Metrics -> Magic. Shipra Malik
  • 11. Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets 3 Targets: Targets are numerical values you have pre-determined as indicators success or failure. It is rare, even with the best intentions, that you'll create targets for all the metrics you'll report on. Yet it is critical that you create targets for each web analytics key performance indicator. Shipra Malik
  • 12. Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets 3 Dimension: A dimension is, typically, an attribute of the Visitor to your website. Here's a simplistic pictorial representation. . . Shipra Malik
  • 13. Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets 3 The source that someone came from (referring urls, campaigns, countries etc) is a dimension in your web analytics data. So is technical information like browsers or mobile phones or (god save you if you are still doing daily reports on) screen resolution or ISP used. The activity a person performed such as the landing page name, the subsequent pages they saw, videos they played, searches they did on your website and the products they purchased are all dimensions. Finally the day they visited, the days since their last visit (if returning visitor) the number of visits they made, the number of pages they saw are all dimensions as well. I know, they sound like metrics. But they are, as the definition says up top, attributes of the visitor and their activity on your website. This is a crude way to think about it but… Dimensions almost always appear in rows in a report / excel spreadsheet. Shipra Malik
  • 14. Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets 3 Dimensions allow you to group your data into different buckets and they are most frequently used to slice and dice the web analytics data. Shipra Malik
  • 15. Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets 3 Segments: A segment contains a group of rows from one or more dimensions. In aggregate almost all data is useless (like # of Visits). The best way to find insights is to segment the data using one or more dimensions (like # of Visits from: USA, UK, India as a % of All Visits). You segment by dimensions and report by metrics. Shipra Malik
  • 17. Report Metrics 3 Building Block Terms: Page, Page Views, Visits, Unique Visitors, New Visitor, Repeat Visitor, &Repeat Visitor. Visit Characterization: Entry Page, Landing Page, Exit Page, Visit Duration, Referrer, Internal Referrer, External Referrer, Search Referrer, Visit Referrer, Original Referrer, Click-through, Click-through Rate/Ratio, Page Views per Visit Content Characterization: Page Exit Ratio, Single-Page Visits, Bounce Rate Conversion Metrics: Event, Conversion Shipra Malik
  • 18. Report Metrics 3 Building Block Terms Page Type: Dimension Calculation: An analyst definable unit of content. Page View Type: Count Calculation: The number of times a page was viewed. Visits (Sessions) Type: Count Calculation : A sequence of page views in a sitting. The visits metric is commonly used in reports that display the number of user sessions within the selected time period. The Visits Report measures traffic to your site by counting the number of sessions in a given time period. You can use this report to observe traffic patterns, or to identify impact of site modifications made on your site. Shipra Malik
  • 19. Report Metrics 3 Unique Visitors Type: Count Calculation: The number of inferred individual people (filtered for spiders and robots), within a designated reporting timeframe, with activity consisting of one or more visits to a site. Each individual is counted only once in the unique visitor measure for the reporting period. New Visitor Type: Count Calculation: The number of Unique Visitors with activity including a first-ever Visit to a site during a reporting period. Note that "first-ever" is with respect to when data began being properly collected on your site by your current tool. Return(ing) Visitor Type: Count Calculation: The number of Unique Visitors with activity consisting of a Visit to a site during a reporting period and where the Unique Visitor also Visited the site prior to the reporting period. Shipra Malik
  • 20. Report Metrics 3 Repeat Visitor Type: Count Calculation: The number of Unique Visitors with activity consisting of two or more Visits to a site during a reporting period. Visit Characterization Entry Page Type: Dimension Calculation: The Entry Pages report shows you which pages on your site were the first page of a visit. You can use this report to identify which of your web pages are the most frequent points of entry or to optimize the primary entry points on your site. Landing Page Type: Dimension Calculation: A page view intended to identify the beginning of the user experience resulting from a defined marketing effort. Shipra Malik
  • 21. Report Metrics 3 Exit Page Type: Dimension Calculation: The last page on a site accessed during a visit, signifying the end of a visit/session. Visit Duration Type: Count Calculation: The length of time in a session. Calculation is typically the timestamp of the last activity in the session minus the timestamp of the first activity of the session. Traffic Sources: The Referrer Type report takes all referring traffic to your site and categorizes them based on domain. This report can be helpful in determining which general methods users are accessing your site. Using Marketing Channels may be better in obtaining this information, however the Referrer Type report takes much less configuration in order to work properly. Referrer Type: Dimension Calculation: Referrer is a generic term that describes the source of traffic to a page or visit. Shipra Malik
  • 22. Report Metrics 3 Exit Page Type: Dimension Calculation: The last page on a site accessed during a visit, signifying the end of a visit/session. Visit Duration Type: Count Calculation: The length of time in a session. Calculation is typically the timestamp of the last activity in the session minus the timestamp of the first activity of the session. Traffic Sources: The Referrer Type report takes all referring traffic to your site and categorizes them based on domain. This report can be helpful in determining which general methods users are accessing your site. Using Marketing Channels may be better in obtaining this information, however the Referrer Type report takes much less configuration in order to work properly. Referrer Type: Dimension Calculation: Referrer is a generic term that describes the source of traffic to a page or visit. Shipra Malik
  • 23. Report Metrics 3 • Internal Referrer - The internal referrer is a page URL that is internal to the web site or a web-property within the web site as defined by the user. Not all tools report internal referrers as a group. • External Referrer - The external referrer is a page URL where the traffic is external or outside of the web site or a web-property defined by the user. • Search Referrer - The search referrer is an internal or external referrer for which the URL has been generated by a search function. Many tools segment and report on search referrers as a group; however the exact definitions vary from tool to tool. Most will include the "big" search engines, such as Yahoo, Google, and MSN/Live. However, they vary in whether or not they exclude mail servers from these sources, or whether they use wildcards to capture any URL containing the word "search.“ Click-through Type: Count Calculation: Number of times a link was clicked by a visitor. Shipra Malik
  • 24. Report Metrics 3 Click-through Rate/Ratio Type: Ratio Calculation: The number of click-throughs for a specific link divided by the number of times that link was viewed. Page Views per Visit Type: Ratio Universe: Aggregate, Segmented, Individual Calculation: The number of page views in a reporting period divided by number of visits in the same reporting period. Content Characterization Page Exit Ratio Type: Ratio Calculation: Number of exits from a page divided by total number of page views of that page. Shipra Malik
  • 25. Report Metrics 3 Single Page Visits (Bounces) Type: Dimension or Count Calculation: A visit that consists of one page view. Bounce Rate Type: Ratio Calculation: Single page visits divided by entry pages. Conversion Metrics Conversion terms record special activities on a site, such as purchases, that have particular business value for the analyst. They often represent the bottom-line “success” for a visit. Event Type: Dimension and/or Count Calculation: Any logged or recorded action that has a specific date and time assigned to it by either the browser or server. Shipra Malik
  • 26. Report Metrics 3 Conversion Type: Dimension or Count Calculation: The number of times a desired outcome was accomplished. Because a Conversion can be both a metric and a count, a web analytics report may show “number of conversions,” “number of purchases,” “number of sign-ups,” etc. (conversion as a count), or it may show specific conversions and how many events, page views, visits, or unique visitors were associated with the conversion (conversion as a dimension). Conversion Rate Type: Ratio Calculation: The ratio of conversions over a relevant denominator. Shipra Malik
  • 27. Report Metrics (SiteCatalyst) 3 • Keywords: The Search Keywords reports show the search keywords (or search phrases) that customers used to arrive at your site, and how those customers affected your site’s Success Metrics. This can help you determine how to better tailor your site code, such as META tags, or which keywords to register with search engines. You can see if certain keywords resulted in more orders or if other keywords caused higher instances of cart additions • Top Pages: The Pages report ranks the pages on your site based on those that receive the most traffic. By default, pages are ranked by the number of times they were viewed, with the pages receiving the most page views listed first. You can use this report to view which pages associated with products users are most interested in, measure pages in their effectiveness to conversion events, or to simply view all page traffic in a single easy-to-read report. • Top Banner ID’s: There are several common ways to track internal campaigns (such as banner ads that lead to other portions of your site) in SiteCatalyst. Each method uses an eVar, which by nature can associate conversion beyond the page it was defined on. • File Downloads: The SiteCatalyst File Downloads Report helps you understand how often your visitors download files from your site. Examples of file downloads may be word processor documents, spreadsheets, audio files, movie files, user manuals, etc. This includes both files being saved and opened directly from the browser, as well as files saved to the user's computer. The report shows the name of the file being downloaded, including the complete URL required to access the file. Shipra Malik
  • 28. Q&A • What Questions do you have? 26 Shipra Malik