This slide covers the fundamentals of Google Analytics and unveils the misconceptions around most of the metrics and dimensions. A must-read guide to understand how each and every metric gets calculated in Google Analytics.
Google Analytics for Beginners - TrainingRuben Vezzoli
I used this presentation for an internal training about Google Analytics and Web Analytics.
Google Analytics Training for Beginners.
Google Analytics Tutorial
Google Analytics for Dummies
Google Analytics Guide
Grafana/Graphite provides lightweight application performance monitoring of internal services and metrics. Rigor offers synthetic performance monitoring of selected pages from different locations. SOASTA mPulse enables real user monitoring to collect performance data from real browsers. SOASTA Data Science Workbench allows complex analysis of performance data through notebooks to answer questions about page groups, user paths, and conversion impact. Tools should be used together to gain internal and external views of performance from synthetic and real user perspectives.
SEMNE Google Analytics Master Class - 15 Oct 2014Jay Murphy
This document provides an overview and agenda for a Google Analytics training session. It covers key topics like SEO and analytics, new features in Universal Analytics like custom dimensions and user ID tracking, and analysis techniques. Definitions of important analytics terms are also included. The training will explain how Google Analytics works and the different types of reports available to analyze audience, acquisition, behavior, and other metrics.
Omniture SiteCatalyst vs. Google Analytics - An Objective ComparisonSemetis
Difference and objective comparison between the 2 most popular Web Analytics solutions: Omniture SiteCatalyst vs. Google Analytics latest edition (2011).
This document provides an introduction to Google Analytics for web developers. It discusses how Google Analytics can be used to track and understand visitor traffic, flows, and engagement on a website. It also describes how the Google Analytics tracking code works to collect anonymous visitor data and send it to Google's servers. Finally, it covers some key aspects of setting up and using Google Analytics, including dimensions, metrics, event tracking, and cross-device attribution.
How to use pertinently Google Analytics, by Gilles BarbierTheFamily
Regarding Web Analytics, Google Analytics is by far the most commonly used tool. For any kind of websites, it helps community or product managers to understand what is really going on.
Unfortunately, Google Analytics is also the tool the most poorly understood and thus, misused!
This workshop will give you insight to master this precious tool in a efficent way.
This document provides an overview and introduction to web analytics. It discusses asynchronous tracking code, dimensions and metrics, segments, and alerts. Key points covered include:
- The importance of understanding and optimizing websites using web analytics data
- Components and functioning of asynchronous tracking code
- Types of data in analytics reports called dimensions and metrics
- How segments allow breaking up data to understand it better through custom views
- Creating custom alerts to monitor key metrics and receive notifications
This document provides an overview of Google Analytics. It discusses why websites should use analytics and how to install Google Analytics. Key definitions are explained, like unique visitors, visits, bounce rate, etc. Case studies are presented showing how analytics was used to measure SEO performance and analyze complex user interactions on websites. Resources for learning more about analytics and SEO are also listed. The document concludes by explaining how Google Analytics works and the cookies it uses to track visitors.
Google Analytics for Beginners - TrainingRuben Vezzoli
I used this presentation for an internal training about Google Analytics and Web Analytics.
Google Analytics Training for Beginners.
Google Analytics Tutorial
Google Analytics for Dummies
Google Analytics Guide
Grafana/Graphite provides lightweight application performance monitoring of internal services and metrics. Rigor offers synthetic performance monitoring of selected pages from different locations. SOASTA mPulse enables real user monitoring to collect performance data from real browsers. SOASTA Data Science Workbench allows complex analysis of performance data through notebooks to answer questions about page groups, user paths, and conversion impact. Tools should be used together to gain internal and external views of performance from synthetic and real user perspectives.
SEMNE Google Analytics Master Class - 15 Oct 2014Jay Murphy
This document provides an overview and agenda for a Google Analytics training session. It covers key topics like SEO and analytics, new features in Universal Analytics like custom dimensions and user ID tracking, and analysis techniques. Definitions of important analytics terms are also included. The training will explain how Google Analytics works and the different types of reports available to analyze audience, acquisition, behavior, and other metrics.
Omniture SiteCatalyst vs. Google Analytics - An Objective ComparisonSemetis
Difference and objective comparison between the 2 most popular Web Analytics solutions: Omniture SiteCatalyst vs. Google Analytics latest edition (2011).
This document provides an introduction to Google Analytics for web developers. It discusses how Google Analytics can be used to track and understand visitor traffic, flows, and engagement on a website. It also describes how the Google Analytics tracking code works to collect anonymous visitor data and send it to Google's servers. Finally, it covers some key aspects of setting up and using Google Analytics, including dimensions, metrics, event tracking, and cross-device attribution.
How to use pertinently Google Analytics, by Gilles BarbierTheFamily
Regarding Web Analytics, Google Analytics is by far the most commonly used tool. For any kind of websites, it helps community or product managers to understand what is really going on.
Unfortunately, Google Analytics is also the tool the most poorly understood and thus, misused!
This workshop will give you insight to master this precious tool in a efficent way.
This document provides an overview and introduction to web analytics. It discusses asynchronous tracking code, dimensions and metrics, segments, and alerts. Key points covered include:
- The importance of understanding and optimizing websites using web analytics data
- Components and functioning of asynchronous tracking code
- Types of data in analytics reports called dimensions and metrics
- How segments allow breaking up data to understand it better through custom views
- Creating custom alerts to monitor key metrics and receive notifications
This document provides an overview of Google Analytics. It discusses why websites should use analytics and how to install Google Analytics. Key definitions are explained, like unique visitors, visits, bounce rate, etc. Case studies are presented showing how analytics was used to measure SEO performance and analyze complex user interactions on websites. Resources for learning more about analytics and SEO are also listed. The document concludes by explaining how Google Analytics works and the cookies it uses to track visitors.
All about engagement with Universal Analytics @ Google Developer Group NYC Ma...Nico Miceli
In this talk I discuss discuss ways that you can use the new version of Google Analytics (universal analytics) to measure the REAL engagement of your users, create new custom dimensions & metrics, track off site activities in Google Analytics and ways to track the same user across devices.
Objective was to take a snapshot audit review of the incoming traffic for a state agency website to understand user engagements to aid in strategic outreach planning.
Google Analytics (GA) is a Web Analytic tool, that helps a user analyze the traffic to their website site. It is free, requires no installation and easy to setup. This presentation illustrates how to setup an account, understand how GA works, the dashboard, Key Performance Index (KPI), and Balance Score Card (BSC).
Web analytics involves collecting and analyzing digital data about user behavior on websites and mobile apps. It is important for measuring the effectiveness of marketing campaigns and ensuring websites meet their objectives, such as increasing sales for ecommerce sites. Google Analytics is a popular web analytics tool that tracks user data through a JavaScript code added to websites. It provides visualization tools and insights about key metrics like users, sessions, pageviews, bounce rate, and exit rate, broken down by dimensions such as channels, devices, and locations.
MeasureWorks - Why your customers don't like to wait!MeasureWorks
My presentation at the Zycko breakfast session... About why your users don't like to wait and why you should care as a site owner. This presentation covers the importance of perception of speed, navigation and how to do proper performance monitoring...
Jay Murphy, a Boston University instructor and Google Analytics pro, shows Newport Interactive Marketers how to use Google Analytics to drive ROI. Great presentation to get an understanding on how to use Google Analytics to enhance users' experience on your page.
Web analytics is the measurement and analysis of internet data to understand and optimize website usage. It involves both on-site analytics, which measure visitor behavior on a website, and off-site analytics, which analyze a website's potential audience and online visibility regardless of ownership. Key performance indicators are metrics used to evaluate success, such as visits, pageviews, and conversion rates. Google Analytics is a commonly used tool that uses first-party cookies and JavaScript code to collect visitor data and provide reports on acquisition, behavior, and conversions.
How To Promote Your Online Visibility Using Web Analytics. How To Promote You...Overalia
This document discusses key concepts for understanding and optimizing web analytics, including:
1. Defining objectives and identifying potential customers to focus analytics efforts.
2. Generating traffic through various acquisition channels like search engines, display ads, email marketing, and integrating campaigns in Google Analytics.
3. Segmenting data by user types, content, campaigns etc. to more easily measure and optimize performance. The overall goal is to improve conversion, retention and acquisition.
This document summarizes Google Analytics, Google Webmaster Tools, and Google Website Optimizer. It discusses how these tools can help measure website usage, track goals and events, understand traffic sources, and optimize websites to improve performance. Key information provided includes setting up analytics tracking, tagging links, setting up conversion goals, and using Google Webmaster Tools to submit sitemaps and check for indexing errors.
Omniture 101 - Digital Analytics - iProspect CanadaLemesle Gautier
Part of the iProspect School Lunch & Learn series at iProspect Canada, this presentation's goal is to demystify Omniture. This presentation will help people that never had the opportunity to have access to Omniture.
Thanks for watching!
A basic overview of Google Analytics. The slide talks about how google analytics can help track key information such as visits, unique visitors, pageviews, traffic sources for your website.
It also talks about important features of google analytics such as goals & a brief about account, property & profile views.
Google analytics for marketers beyond the basicsCharlie Kalech
Learn what lies beyond the default installation of Google Analytics.
Easily configure Custom Reports
Definitions, Samples & Instructions for Custom Dashboards, Widgets, Segments, Filters, Dimensions and Metrics.
Track on-site actions like Clicking Offsite or Playing a Video.
Compare Your Site to Others in Your Industry
This document discusses how web analytics can be applied beyond marketing to performance management and capacity planning. It describes how performance analysts and capacity planners can use web analytics data to diagnose performance issues, develop benchmarks and forecasts, and set alerts for anomalies. While web analytics can impact performance, it provides insights that complement traditional monitoring tools when problems are difficult to isolate or workloads need to accurately represent user behavior.
This document provides an overview of web analytics and Google Analytics. It defines web analytics, discusses ways to analyze data both traditionally and through the web analytics paradigm. It also covers setting up goals and funnels in Google Analytics, using segments, alerts and enhanced ecommerce tracking. A key section discusses attribution modeling and how to set up a custom attribution model based on an understanding of your business and customer journey.
Google Analytics es una herramienta de analítica la que se conoce sólo una parte de su potencial. Además de medir audiencias y su comportamiento, Google Analytics permite priorizar las inversiones en marketing online, recoger comportamientos de Single Page Applications y visualizar datos offline, por ejemplo de CRM y combinarlos con los de visitas online. También es posible recoger datos en tiempo real de ventas, por ejemplo de ecommerce y de dispositivos físicos como bluetooth beacons. Las funcionalidades de Google Analytics, en combinación con Big Query y otros servicios de Google Cloud Platform, la convierte en una de las plataformas más interesantes de analítica para la transformación digital.
Si quieres ver el vídeo en el que fue usada esta presentación, pulsa aquí: https://www.youtube.com/watch?v=2mfIU-NXGXI
Para ver la convocatoria en nuestra web, clic aquí: https://www.paradigmadigital.com/eventos/usar-google-analytics/
La convocatoria a través del grupo de Meetup.com, clic aquí: https://www.meetup.com/es-ES/Front-end-Developers-Madrid/events/231793469/
All about engagement with Universal Analytics @ Google Developer Group NYC Ma...Nico Miceli
In this talk I discuss discuss ways that you can use the new version of Google Analytics (universal analytics) to measure the REAL engagement of your users, create new custom dimensions & metrics, track off site activities in Google Analytics and ways to track the same user across devices.
Objective was to take a snapshot audit review of the incoming traffic for a state agency website to understand user engagements to aid in strategic outreach planning.
Google Analytics (GA) is a Web Analytic tool, that helps a user analyze the traffic to their website site. It is free, requires no installation and easy to setup. This presentation illustrates how to setup an account, understand how GA works, the dashboard, Key Performance Index (KPI), and Balance Score Card (BSC).
Web analytics involves collecting and analyzing digital data about user behavior on websites and mobile apps. It is important for measuring the effectiveness of marketing campaigns and ensuring websites meet their objectives, such as increasing sales for ecommerce sites. Google Analytics is a popular web analytics tool that tracks user data through a JavaScript code added to websites. It provides visualization tools and insights about key metrics like users, sessions, pageviews, bounce rate, and exit rate, broken down by dimensions such as channels, devices, and locations.
MeasureWorks - Why your customers don't like to wait!MeasureWorks
My presentation at the Zycko breakfast session... About why your users don't like to wait and why you should care as a site owner. This presentation covers the importance of perception of speed, navigation and how to do proper performance monitoring...
Jay Murphy, a Boston University instructor and Google Analytics pro, shows Newport Interactive Marketers how to use Google Analytics to drive ROI. Great presentation to get an understanding on how to use Google Analytics to enhance users' experience on your page.
Web analytics is the measurement and analysis of internet data to understand and optimize website usage. It involves both on-site analytics, which measure visitor behavior on a website, and off-site analytics, which analyze a website's potential audience and online visibility regardless of ownership. Key performance indicators are metrics used to evaluate success, such as visits, pageviews, and conversion rates. Google Analytics is a commonly used tool that uses first-party cookies and JavaScript code to collect visitor data and provide reports on acquisition, behavior, and conversions.
How To Promote Your Online Visibility Using Web Analytics. How To Promote You...Overalia
This document discusses key concepts for understanding and optimizing web analytics, including:
1. Defining objectives and identifying potential customers to focus analytics efforts.
2. Generating traffic through various acquisition channels like search engines, display ads, email marketing, and integrating campaigns in Google Analytics.
3. Segmenting data by user types, content, campaigns etc. to more easily measure and optimize performance. The overall goal is to improve conversion, retention and acquisition.
This document summarizes Google Analytics, Google Webmaster Tools, and Google Website Optimizer. It discusses how these tools can help measure website usage, track goals and events, understand traffic sources, and optimize websites to improve performance. Key information provided includes setting up analytics tracking, tagging links, setting up conversion goals, and using Google Webmaster Tools to submit sitemaps and check for indexing errors.
Omniture 101 - Digital Analytics - iProspect CanadaLemesle Gautier
Part of the iProspect School Lunch & Learn series at iProspect Canada, this presentation's goal is to demystify Omniture. This presentation will help people that never had the opportunity to have access to Omniture.
Thanks for watching!
A basic overview of Google Analytics. The slide talks about how google analytics can help track key information such as visits, unique visitors, pageviews, traffic sources for your website.
It also talks about important features of google analytics such as goals & a brief about account, property & profile views.
Google analytics for marketers beyond the basicsCharlie Kalech
Learn what lies beyond the default installation of Google Analytics.
Easily configure Custom Reports
Definitions, Samples & Instructions for Custom Dashboards, Widgets, Segments, Filters, Dimensions and Metrics.
Track on-site actions like Clicking Offsite or Playing a Video.
Compare Your Site to Others in Your Industry
This document discusses how web analytics can be applied beyond marketing to performance management and capacity planning. It describes how performance analysts and capacity planners can use web analytics data to diagnose performance issues, develop benchmarks and forecasts, and set alerts for anomalies. While web analytics can impact performance, it provides insights that complement traditional monitoring tools when problems are difficult to isolate or workloads need to accurately represent user behavior.
This document provides an overview of web analytics and Google Analytics. It defines web analytics, discusses ways to analyze data both traditionally and through the web analytics paradigm. It also covers setting up goals and funnels in Google Analytics, using segments, alerts and enhanced ecommerce tracking. A key section discusses attribution modeling and how to set up a custom attribution model based on an understanding of your business and customer journey.
Google Analytics es una herramienta de analítica la que se conoce sólo una parte de su potencial. Además de medir audiencias y su comportamiento, Google Analytics permite priorizar las inversiones en marketing online, recoger comportamientos de Single Page Applications y visualizar datos offline, por ejemplo de CRM y combinarlos con los de visitas online. También es posible recoger datos en tiempo real de ventas, por ejemplo de ecommerce y de dispositivos físicos como bluetooth beacons. Las funcionalidades de Google Analytics, en combinación con Big Query y otros servicios de Google Cloud Platform, la convierte en una de las plataformas más interesantes de analítica para la transformación digital.
Si quieres ver el vídeo en el que fue usada esta presentación, pulsa aquí: https://www.youtube.com/watch?v=2mfIU-NXGXI
Para ver la convocatoria en nuestra web, clic aquí: https://www.paradigmadigital.com/eventos/usar-google-analytics/
La convocatoria a través del grupo de Meetup.com, clic aquí: https://www.meetup.com/es-ES/Front-end-Developers-Madrid/events/231793469/
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
We are pleased to share with you the latest VCOSA statistical report on the cotton and yarn industry for the month of March 2024.
Starting from January 2024, the full weekly and monthly reports will only be available for free to VCOSA members. To access the complete weekly report with figures, charts, and detailed analysis of the cotton fiber market in the past week, interested parties are kindly requested to contact VCOSA to subscribe to the newsletter.
Introduction to Jio Cinema**:
- Brief overview of Jio Cinema as a streaming platform.
- Its significance in the Indian market.
- Introduction to retention and engagement strategies in the streaming industry.
2. **Understanding Retention and Engagement**:
- Define retention and engagement in the context of streaming platforms.
- Importance of retaining users in a competitive market.
- Key metrics used to measure retention and engagement.
3. **Jio Cinema's Content Strategy**:
- Analysis of the content library offered by Jio Cinema.
- Focus on exclusive content, originals, and partnerships.
- Catering to diverse audience preferences (regional, genre-specific, etc.).
- User-generated content and interactive features.
4. **Personalization and Recommendation Algorithms**:
- How Jio Cinema leverages user data for personalized recommendations.
- Algorithmic strategies for suggesting content based on user preferences, viewing history, and behavior.
- Dynamic content curation to keep users engaged.
5. **User Experience and Interface Design**:
- Evaluation of Jio Cinema's user interface (UI) and user experience (UX).
- Accessibility features and device compatibility.
- Seamless navigation and search functionality.
- Integration with other Jio services.
6. **Community Building and Social Features**:
- Strategies for fostering a sense of community among users.
- User reviews, ratings, and comments.
- Social sharing and engagement features.
- Interactive events and campaigns.
7. **Retention through Loyalty Programs and Incentives**:
- Overview of loyalty programs and rewards offered by Jio Cinema.
- Subscription plans and benefits.
- Promotional offers, discounts, and partnerships.
- Gamification elements to encourage continued usage.
8. **Customer Support and Feedback Mechanisms**:
- Analysis of Jio Cinema's customer support infrastructure.
- Channels for user feedback and suggestions.
- Handling of user complaints and queries.
- Continuous improvement based on user feedback.
9. **Multichannel Engagement Strategies**:
- Utilization of multiple channels for user engagement (email, push notifications, SMS, etc.).
- Targeted marketing campaigns and promotions.
- Cross-promotion with other Jio services and partnerships.
- Integration with social media platforms.
10. **Data Analytics and Iterative Improvement**:
- Role of data analytics in understanding user behavior and preferences.
- A/B testing and experimentation to optimize engagement strategies.
- Iterative improvement based on data-driven insights.
4. Introduction
What is Google Analytics?
A Google product your web developer can install on your
website to collect users data (not PII) from your website.
The data is then used to gather insights into how visitors
are using your website
.
5. Account Setup
Organization
Account
Property
View
An organization represents a company, and
lets you access your company’s product
accounts (e.g., Analytics, Tag Manager,
Optimize)
An account is your access point for Analytics,
and the top-most level of organization. One or
more Analytics accounts can belong to an
organization.
A property is a website, mobile application, or
device
A view is your access point for reports; a
defined view of data from a property.
7. Data Processing
Data is collected through a image request
(beacon) sent to the GA server
It is configured with various filters &
modification rules (explained later)
Then it is processed to form meaningful tables
with appropriate dimensions and metrics
After processing, it is available in the GA UI for
reporting purpose.
➽ No Personal Information is collected through
beacon
https://www.google-
analytics.com/collect?v=1&_v=j63d&a=839866892&t=timing&_s=2&dl
=https%3A%2F%2example.com%2F&ul=en-us&de=UTF-
8&dt=example%20-%20Global%20Page&sd=24-
bit&sr=1920x1080&vp=1920x653&je=0&plt=5580&pdt=2&dns=0&rr
t=1&srt=3412&tcp=0&dit=3984&clt=3984&_u=QCCACEABJ~&jid=&g
jid=&cid=1609202597.1503049672&tid=UA-xxxxxx-
2&_gid=1174415076.1506315474>m=GTM-xxxxx&z=10xxxx1
Configuration
Processing
Collection Reporting
8. Configuration settings while processing will
permanently include, exclude or change your
data
Filters:
Include: Country, Domain, Sub-Domain
Exclude: IP of vendors and employees
Change: lowercase campaign names
Cross Domain Tracking:
Change: how the sessions will be counted for a
user coming from different domain
Configuration Settings
Customer
data into
report view
Employee
data out
Customers Employees
10. Dimensions
Qualitative measurement of your data
e.g: dimension City indicates the city,
“Paris”,”New York”, from which session
originated
Dimension Page indicates the URL that is
viewed
Dimensions & Metrics
Metrics
Quantitative measurement of your data
e.g: metric Users tells us the number of visitors
on your website
Pageviews gives us how many times
webpages have been viewed
11. Why understand scoping?
Not every metric can be combined with every
dimension. Each dimension and metric has a
scope.
In most cases, it only makes sense to combine
dimensions and metrics that share the same
scope
These dimensions and metrics are kept
separate from one another due to the way data
is defined and collected in Google Analytics
Scoping
Scope is a characteristic/persisting behavior of
each dimension and metric and each dimension
or metric can only have one scope. GA data is
organized into 3 scope-types:
1. Hit data
2. Session data
3. User data
User
Sessions
Hits
12. Hit Level Scope
A hit is defined as any single action on a website
such as a page view or an event triggered by
watching a video or downloading a pdf. Hits can
also have products associated with them.
Session Level Scope
A session is defined as one or more hits within a
certain time frame. One person’s actions on your site
during a single browsing session, the pages they
load, the files they download, are all connected into
one session.
User Level Scope
A user is the highest level of data collected, and is
the crucial piece that connects previous and future
web behavior. Specifically, Google Analytics stores a
client ID in a cookie for each user that visits your
site, and then joins together all of the sessions with
the same client ID
Scoping contd.
14. UI - Audience Overview Report
Understand Each Metric:
Users
Identified by Client ID stored in cookie
No matter how many times a user come to your
website, it will be considered as 1 for the selected
duration
Hence, not an additive metric (across different
duration)
➽ New User + Returning Users != Total Users
15. UI - Audience Overview Report
Understand Each Metric:
Sessions
Identified by visitID.
A session originate whenever first hit to GA server is
going from your first website.
It’s a group of interactions that take place on your
website within a given time frame
➽ Expiration Criteria:
● 30 mins of inactivity (no hit to GA server)
● Source/Medium/Campaign/Keyword value
change
● Midnight - 11:59:59 PM
● Closing the browser
● Domain Change
16. UI - Audience Overview Report
Understand Each Metric:
Pageviews
No. of time a page loads and execute the GA script
on browser (including reloads)
A unique pageview for a page is actually number of
sessions in which that page is being viewed one or
more times
17. UI - Audience Overview Report
Understand Each Metric:
Avg. Session Duration
Time spent on your website during a session
collected by monitoring the timestamps of first and
last hit to GA server.
➽ quite inappropriate information as explained
below:
Session Duration = 10:05 - 10:00 = 5Mins
*Not considering the time spent on D page before leaving
10:00 10:02 10:03 10:05
Exit
A B C D
Spent 2 Mins
here
18. UI - Audience Overview Report
Understand Each Metric:
Bounce Rate
Single hit (server call to GA server) sessions are
considered as Bounce
Bounce Rate = Bounces/Sessions
Not associated only to Pageview & not at all with
time spent
19. UI - Channel Report
Channel Grouping
Categorization based on values of source and
medium stored in cookie at the time of session start
Can be overridden by UTM Parameters
➽ Do not track internal campaigns with utm
parameters as it originate a new session every time
20. UI - Channel Report
Channel Groups Definition
Direct: Source exactly matches direct AND Medium
exactly matches (not set)
OR
Medium exactly matches (none)
Organic Search: Medium exactly matches organic
Referral: Medium exactly matches referral
Social: Social Source Referral exactly matches Yes
OR
Medium matches regex ^(social|social-
network|social-media|sm|social network|social
media)$
Email: Medium exactly matches email
21. UI - Channel Report
Channel Groups Definition
Paid Search: Medium matches regex
^(cpc|ppc|paidsearch)$
AND
Ad Distribution Network does not exactly match
Content
Affiliate: Medium exactly matches affiliate
Display: Medium matches regex
^(display|cpm|banner)$
OR
Ad Distribution Network exactly matches Content
Other Advertising: Medium matches regex
^(cpv|cpa|cpp|content-text)$
(Other): Session doesn’t match any description
22. UI - All Page Report
GA shows page path by default
● ga('send','pageview'); //defalt
● ga('send','pageview','/index.cms'); //passing
page path
Can be modified using filters in admin section
Perform “regex” search for pages
L1,L2.. Indicates page path level which provides
categorical performance of the website under
content drilldown report
https:// timesofindia.indiatimes.com
/india/sc-verdict-on-electoral-bonds/liveblog/68842711.cms
Protocol Hostname
Pagepath
L1 L2 L3 L4
23. UI - Event Report
All interactive activities on the website can be
tracked through events e.g form submission,
button clicks, video views etc.
● ga('send','event','Event Category','Event
Action','Event Label','Event Value');
● ga('send','event','Event Category','Event
Action','Event Label',,'Event
Value',{‘nonInteraction’: 1});
By setting nonInteraction=True, all the session
scoped metrics are no longer affected by the
event
➽ The first 20 event hits sent to Analytics are
processed immediately, thereafter processing is
rate-limited to two event hits per second. A
maximum of 500 hits per session are processed.
24. Goals measure how well your site or app fulfills
your target objectives. A goal represents a
completed activity, called a conversion, that
contributes to the success of your business
4 Type of Goals can be set for each view
● Destination Type
● Events
● Pages/Session
● Session Duration
➽ Funnel (conversion path) can be setup for
Destination type goal only
UI - Goal Report
26. Graph Plotting and Filters
Graph Plotting
Useful in analysing the trends of at-most (6+overall)
dimension values at once
Advance Filter
Can be used to search and analyse specific
dimension values
Secondary Dimension
Analyse two dimensions within a single report
27. Segment
Segments let you isolate and analyze subsets of
your dataset so you can examine and respond to the
component trends in your business
Can be applied for any scope
● Hit
● Session
● Users
➽ With user-based(individual/group) segments, you
can apply a maximum date range of 90 days to your
reports. For that 90 days, Analytics reports on only
the first 1000 sessions for each user.
➽ When you include user- and session-based rules
in the same filter, those are joined with AND logic.
Data is included when it meets both conditions.
28. Custom Report
A custom report is a report that you create. You pick
the dimensions and metrics and decide how they
should be displayed
You have the control, to some extent, of mixing the
dimensions and metrics of different scope. But it can
show unexpected numbers, hence read the report
wisely.
29. Custom Dimension
A custom dimension is a regular dimension except
you create it to track the things GA doesn’t track
automatically.
● ga('set', 'dimension6', dimensionValue)
Mandatory to provide a scope with every dimension
which will define the behaviour and collection of the
dimension
➽ Once created, Custom dimensions cannot be
deleted, but you can disable them
➽ Available for reporting as Secondary Dimension
in regular reports or in Custom Reports
➽ few e.g Author Name, Login Status, User ID,
Client ID, Page Tag etc..
30. Scoping:
Hit:
When a custom dimension has hit-level scope, the
value is applied only to the hit with which the
value was set.
BA
Custom Dimension Contd.
Index 1
Value: A
ASession 1
Index 1
Value: A
Session 1
Index 1
Value: B
A Hit
31. Scoping:
Session:
When two values with session scope are set at
the same index in a session, the last value set gets
precedence and is applied to all hits in that
session.
AA A
Custom Dimension Contd.
Index 1
Value: A
A ASession 1
Session 1
A Hit
B BB BSession 1
Index 1
Value: B
32. Scoping:
User:
If two user-scoped custom dimension values are
set within the same session, the last value set
gets precedence for the current session, and is
applied to future sessions for that user.
AA A
Custom Dimension Contd.
Session 1
Session 2
A Hit
A AA ASession 3
Index 1
Value: A
33. Real-Time allows you to monitor activity as it happens on your site. The reports are updated continuously
and each hit is reported seconds after it occurs.
➽ Non Interactive hits doesn’t appear in Active Users section, however you can see the hits in 30 min list.
Real Time Report
34. A custom table provides you the unsampled data for
the specified combination of dimensions and metrics
on daily basis.
➽ Once created, Custom Tables cannot be edited,
but you can delete them
➽ Any report that matches a subset of the
configuration of your Custom Table will then access
that table by default, giving you fast, unsampled
data
➽ has a limit of 1M unique rows per day. Above 1M,
Analytics creates an (other) row for the remaining
value
➽ not all reports can benefit from Custom Tables.
E.g user based segment, flow visualization,
attribution and multi-channel funnel
Custom Tables
36. Allows you to check what data is getting collected
with every hit.
➽ Browsers Developer Console (Network Calls)
➽ Google Analytics Debugger (by Google)
➽ Google Analytics Debugger (by keithclark.co.uk)
➽ Google Tag Assistant (by Google)
and many more….
Debuggers
➽ link
➽ link
➽ link
38. Why GTM?
Myth: It’s a replacement for Google Analytics
No, it’s a replacement of the way you are adding
Google Analytics to your website.
Pros:
● Reduce developers involvement
● Robust and reusable tag configurations
● One container for different tools
● Asynchronous tag flow
Cons:
● Though most of the tags can be managed
easily, few complex tags need little technical
knowledge