MLA 2010 Improving Library Web Sites with Web AnalyticsSara Memmott
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Analytics, Insights, Cookies, and the Disappearing PrivacyRoberto Peretta
Analytics, Insights, Cookies, and the Disappearing Privacy. An educational presentation for the IT for Tourism Services course at the University of Bergamo, Italy
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Deep Web refers to information that is not indexed by search engines because it is generated dynamically based on user inputs into forms on websites. Search engine crawlers cannot access this data as they do not know how to populate and submit the various types of forms to retrieve the information. Google researchers have developed a method to have their spiders comprehensively fill out and submit HTML forms to index the content generated from user inputs. They can now retrieve this previously hidden "Deep Web" data and surface it in search results. This allows Google to directly answer user queries without needing to link them to separate websites, improving relevance.
A Node.JS bag of goodies for analyzing Web TrafficPhilip Tellis
This document is a presentation about analyzing web traffic using Node.js modules. It introduces Node.js and the npm package manager. It then discusses modules for parsing HTTP logs, including parsing user agents, handling IP addresses, geolocation, and date formatting. It also covers modules for statistical analysis like fast-stats, gauss, and statsd. The presentation provides code examples for using these modules and takes questions at the end.
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This document discusses PageSpeed, a tool for just-in-time performance optimization of web pages. It provides automatic image compression and resizing, CSS and JavaScript minification, inline small files, caching, and deferring JavaScript among other optimizations. While most performance issues are well understood, not all websites are fast due to the tradeoff between speed and ease of maintenance. PageSpeed tools like mod_pagespeed can automate optimizations to improve performance without extra work from developers.
MLA 2010 Improving Library Web Sites with Web AnalyticsSara Memmott
This document discusses how libraries can use Google Analytics to analyze usage data from their websites. It provides examples of various metrics and reports that Google Analytics can generate, including visits, visitor characteristics, mobile usage, traffic sources, special content usage, and segmentation of visitor groups. The document also offers tips for implementing Google Analytics tracking code and properly configuring the tool to track important website actions and optimize the user experience.
Analytics, Insights, Cookies, and the Disappearing PrivacyRoberto Peretta
Analytics, Insights, Cookies, and the Disappearing Privacy. An educational presentation for the IT for Tourism Services course at the University of Bergamo, Italy
This document summarizes a workshop on tracking the activities of web users across different websites. It discusses how every action a user takes online, such as visiting a page or scrolling, generates multiple data points that can be tracked. Tracking is enabled through technologies like cookies, flash cookies, server logs, beacons, and widgets placed by third parties. These allow user behavior to be profiled and data to be shared and combined across different platforms for ad targeting and personalization. The document describes some tools for detecting, blocking, and visualizing which third party services are tracking users' browsing activities. It proposes projects for analyzing tracking prevalence on different types of websites.
Deep Web refers to information that is not indexed by search engines because it is generated dynamically based on user inputs into forms on websites. Search engine crawlers cannot access this data as they do not know how to populate and submit the various types of forms to retrieve the information. Google researchers have developed a method to have their spiders comprehensively fill out and submit HTML forms to index the content generated from user inputs. They can now retrieve this previously hidden "Deep Web" data and surface it in search results. This allows Google to directly answer user queries without needing to link them to separate websites, improving relevance.
A Node.JS bag of goodies for analyzing Web TrafficPhilip Tellis
This document is a presentation about analyzing web traffic using Node.js modules. It introduces Node.js and the npm package manager. It then discusses modules for parsing HTTP logs, including parsing user agents, handling IP addresses, geolocation, and date formatting. It also covers modules for statistical analysis like fast-stats, gauss, and statsd. The presentation provides code examples for using these modules and takes questions at the end.
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This document discusses PageSpeed, a tool for just-in-time performance optimization of web pages. It provides automatic image compression and resizing, CSS and JavaScript minification, inline small files, caching, and deferring JavaScript among other optimizations. While most performance issues are well understood, not all websites are fast due to the tradeoff between speed and ease of maintenance. PageSpeed tools like mod_pagespeed can automate optimizations to improve performance without extra work from developers.
Understanding Google Analytics: Who's Oggling My CompanyKimberly Swetland
Google Analytics is a web analytics service that provides statistics about visitors to websites. It was created when Google acquired Urchin Software Corp. in 2005 and uses JavaScript code added to websites to collect visitor data and send it to Google servers. The service provides key metrics about site usage including traffic sources, top pages, keywords, and mobile usage. It also allows customizing dashboards and setting goals. The data can help optimize websites and measure marketing campaign effectiveness. However, analytics data is collected without user permission raising privacy concerns.
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.
These slides are used for the Google Analytics course developed by Frank Jones with OptSus Marketing. The course has been taught in-person, online, and through NCSU Professional Development.
This document provides an agenda for a Google Analytics training session. The agenda includes topics such as getting started with Google Analytics, navigating the interface, audience, acquisition, behavior, and conversion reports. It also covers account administration, advanced tracking implementations, measuring content, importing and extracting data, and common applications of Google Analytics. The training emphasizes using Google Analytics for analysis rather than just reporting, and how to tell data-driven stories to different audiences. It provides best practices for setting up views and segments, understanding users, tracking campaigns and visitor engagement, and setting up conversion goals.
This document provides an agenda for a web analytics academy covering Google Analytics. It includes an overview of Google Analytics and how to set it up. Key sections cover understanding visitors, traffic sources and content. It also reviews how to use filters, set goals and funnels, and analyze e-commerce data. The agenda concludes with recommendations for customizing dashboards and highlights 10 key takeaways, such as checking traffic sources, goals/funnels, and keywords. Recommended reading on web analytics is also provided.
Google Analytics with an Intro to Google Tag Manager for Austin WordPress MeetupRich Plakas
Google Analytics with an Intro to Google Tag Manager for Austin WordPress Meetup.
This was an intermediate session where we took a deeper look into Google Analytics. We also introduced Google Tag Manager as a better way to run tracking code on a website.
The new Google Analytics 4 will become the new standard in digital analytics with Universal Google Analytics sunsetting July 2023. GA4 can automatically alert you to significant trends in your data, provide insights from your data, and even help you anticipate future actions your customers may take with predictive analytics. By the end of this presentation, attendees will create better integrations with their current marketing platforms for a more complete cross-channel analytics view of a customer journey. The presentation will cover technical GA4 skills to utilize for data import audiences, funnel explorations, events and conversions, and consent mode.
The document provides instructions for passing the Google Analytics IQ exam. It covers topics such as installing the Google Analytics tracking code, working with report data, and advanced analysis. Key points discussed include setting date ranges and comparison dates for reports, adding annotations, identifying metrics and dimensions, filtering and sorting data, and using advanced segments. The overall aim is to teach the skills needed to interpret Google Analytics data and pass the Google Analytics IQ certification exam.
Evolution or Extinction:Survive and Thrive with New Google Analytics Features4Ps Marketing
Find out more about the latest features in Google Analytics with Matt Stannard, Head of Analytics and Technology at 4Ps Marketing. Matt recently was invited to speak at the ‘Evolve with Google’ conference in the USA, where his session was the highest rated speaker slot of the entire conference.
1. Google Gadgets are small applications or websites displayed on iGoogle and other platforms that are implemented as XML files containing metadata and interactive content.
2. Gadget ads allow advertisers to display interactive product listings and searches directly within gadgets to engage with consumers.
3. To generate traffic, gadget creators can build creative and useful gadgets, submit them to the gadget directory, and promote gadgets on other websites and through search engine optimization.
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.
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.
The document provides instructions for setting up and using a Google Analytics account. It begins by explaining how to create an account and install the tracking code on websites. It then discusses how Google Analytics works and the types of reports available, including real-time, audience, traffic sources, content, and conversions/goals reports. The document emphasizes setting up goals to track important user actions and optimize for conversions. Overall, the document is an introduction to Google Analytics and how to get the most value from tracking and analyzing website traffic.
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.
The document discusses how Google Analytics can be used to measure and analyze user experience on a website. It provides 10 steps for using Google Analytics for UX: 1) define conversion goals and funnels, 2) track internal search, 3) individualize tracking, 4) track errors, 5) analyze metrics in context, 6) understand time on site and bounce rate, 7) segment data, 8) customize reports, 9) validate minimum viable products, and 10) verify the effects of changes. The overall value of web analytics for UX is that it provides data about natural website use at a low cost and identifies areas for further qualitative testing and evaluation.
In this presentation, we review twelve areas of Google Analytics you might not be using. Topics include:
- Filters
- Real-time data
- Goals
- Annotations
- Dimensions
- Events
- Google Tag Manager
- Search Console integration
- Custom dashboards
- Scheduled reports
- Google Data Studio
- Mobile reporting
Learn what each topic is and why you might want to use them.
Google analytics and google data studioBrian Pichman
This webinar introduces the basics of Google Analytics – from getting started and understanding how it works so you can get your website running with the powerful tools offered through Google Analytics. This webinar highlights the importance of using it for tracking of your website or marketing campaigns so you can make better informed decisions, understand your users, and use that data to provide a better digital experience. We will also explore how you can incorporate Google Data Studio with your Analytics for amazing interactive reports that are sure to impress any board meeting.
This document provides an analysis of Google Analytics data and documentation needs for two websites - a marketing site and membership portal. It identifies several issues with the Google Analytics implementation including inconsistent properties/views, discrepancies between data sources, inconsistent UTM tracking conventions, and default attribution problems. Recommendations are provided to resolve these issues such as consolidating to a single view, publishing documentation on tracking conventions, implementing UTM best practices across partners, and reviewing attribution models. The document aims to improve Google Analytics as a reliable data source for performance analysis, attribution, and reporting across the program.
Global Content Strategy and Enterprise Architecture for Real ROI, Sitecore Sy...NavigationArts
Based on the 2014 Sitecore Symposium presentation, we explore the 8 principles of Global Content Strategy & Enterprise Architecture.
Through enterprise content strategy and engagement practices, Sitecore can help organizations realize tangible value, enable rapid deployment and lead qualification, all within a simple to use interface for non-technical users.
NavigationArts will show how to reduce redundancies around content creation, improve brand consistency across platforms, and establish Key Performance Indicators for measuring and improving eCommerce sales and customer satisfaction.
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Google Analytics is a web analytics service that provides statistics about visitors to websites. It was created when Google acquired Urchin Software Corp. in 2005 and uses JavaScript code added to websites to collect visitor data and send it to Google servers. The service provides key metrics about site usage including traffic sources, top pages, keywords, and mobile usage. It also allows customizing dashboards and setting goals. The data can help optimize websites and measure marketing campaign effectiveness. However, analytics data is collected without user permission raising privacy concerns.
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.
These slides are used for the Google Analytics course developed by Frank Jones with OptSus Marketing. The course has been taught in-person, online, and through NCSU Professional Development.
This document provides an agenda for a Google Analytics training session. The agenda includes topics such as getting started with Google Analytics, navigating the interface, audience, acquisition, behavior, and conversion reports. It also covers account administration, advanced tracking implementations, measuring content, importing and extracting data, and common applications of Google Analytics. The training emphasizes using Google Analytics for analysis rather than just reporting, and how to tell data-driven stories to different audiences. It provides best practices for setting up views and segments, understanding users, tracking campaigns and visitor engagement, and setting up conversion goals.
This document provides an agenda for a web analytics academy covering Google Analytics. It includes an overview of Google Analytics and how to set it up. Key sections cover understanding visitors, traffic sources and content. It also reviews how to use filters, set goals and funnels, and analyze e-commerce data. The agenda concludes with recommendations for customizing dashboards and highlights 10 key takeaways, such as checking traffic sources, goals/funnels, and keywords. Recommended reading on web analytics is also provided.
Google Analytics with an Intro to Google Tag Manager for Austin WordPress MeetupRich Plakas
Google Analytics with an Intro to Google Tag Manager for Austin WordPress Meetup.
This was an intermediate session where we took a deeper look into Google Analytics. We also introduced Google Tag Manager as a better way to run tracking code on a website.
The new Google Analytics 4 will become the new standard in digital analytics with Universal Google Analytics sunsetting July 2023. GA4 can automatically alert you to significant trends in your data, provide insights from your data, and even help you anticipate future actions your customers may take with predictive analytics. By the end of this presentation, attendees will create better integrations with their current marketing platforms for a more complete cross-channel analytics view of a customer journey. The presentation will cover technical GA4 skills to utilize for data import audiences, funnel explorations, events and conversions, and consent mode.
The document provides instructions for passing the Google Analytics IQ exam. It covers topics such as installing the Google Analytics tracking code, working with report data, and advanced analysis. Key points discussed include setting date ranges and comparison dates for reports, adding annotations, identifying metrics and dimensions, filtering and sorting data, and using advanced segments. The overall aim is to teach the skills needed to interpret Google Analytics data and pass the Google Analytics IQ certification exam.
Evolution or Extinction:Survive and Thrive with New Google Analytics Features4Ps Marketing
Find out more about the latest features in Google Analytics with Matt Stannard, Head of Analytics and Technology at 4Ps Marketing. Matt recently was invited to speak at the ‘Evolve with Google’ conference in the USA, where his session was the highest rated speaker slot of the entire conference.
1. Google Gadgets are small applications or websites displayed on iGoogle and other platforms that are implemented as XML files containing metadata and interactive content.
2. Gadget ads allow advertisers to display interactive product listings and searches directly within gadgets to engage with consumers.
3. To generate traffic, gadget creators can build creative and useful gadgets, submit them to the gadget directory, and promote gadgets on other websites and through search engine optimization.
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.
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.
The document provides instructions for setting up and using a Google Analytics account. It begins by explaining how to create an account and install the tracking code on websites. It then discusses how Google Analytics works and the types of reports available, including real-time, audience, traffic sources, content, and conversions/goals reports. The document emphasizes setting up goals to track important user actions and optimize for conversions. Overall, the document is an introduction to Google Analytics and how to get the most value from tracking and analyzing website traffic.
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.
The document discusses how Google Analytics can be used to measure and analyze user experience on a website. It provides 10 steps for using Google Analytics for UX: 1) define conversion goals and funnels, 2) track internal search, 3) individualize tracking, 4) track errors, 5) analyze metrics in context, 6) understand time on site and bounce rate, 7) segment data, 8) customize reports, 9) validate minimum viable products, and 10) verify the effects of changes. The overall value of web analytics for UX is that it provides data about natural website use at a low cost and identifies areas for further qualitative testing and evaluation.
In this presentation, we review twelve areas of Google Analytics you might not be using. Topics include:
- Filters
- Real-time data
- Goals
- Annotations
- Dimensions
- Events
- Google Tag Manager
- Search Console integration
- Custom dashboards
- Scheduled reports
- Google Data Studio
- Mobile reporting
Learn what each topic is and why you might want to use them.
Google analytics and google data studioBrian Pichman
This webinar introduces the basics of Google Analytics – from getting started and understanding how it works so you can get your website running with the powerful tools offered through Google Analytics. This webinar highlights the importance of using it for tracking of your website or marketing campaigns so you can make better informed decisions, understand your users, and use that data to provide a better digital experience. We will also explore how you can incorporate Google Data Studio with your Analytics for amazing interactive reports that are sure to impress any board meeting.
This document provides an analysis of Google Analytics data and documentation needs for two websites - a marketing site and membership portal. It identifies several issues with the Google Analytics implementation including inconsistent properties/views, discrepancies between data sources, inconsistent UTM tracking conventions, and default attribution problems. Recommendations are provided to resolve these issues such as consolidating to a single view, publishing documentation on tracking conventions, implementing UTM best practices across partners, and reviewing attribution models. The document aims to improve Google Analytics as a reliable data source for performance analysis, attribution, and reporting across the program.
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Based on the 2014 Sitecore Symposium presentation, we explore the 8 principles of Global Content Strategy & Enterprise Architecture.
Through enterprise content strategy and engagement practices, Sitecore can help organizations realize tangible value, enable rapid deployment and lead qualification, all within a simple to use interface for non-technical users.
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Whether you are building a new corporate intranet or revising an existing one, achieving success isn’t easy. Change doesn’t happen when we adopt new technologies, it happens when we adopt new behavior.
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Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
Basavarajeeyam is an important text for ayurvedic physician belonging to andhra pradehs. It is a popular compendium in various parts of our country as well as in andhra pradesh. The content of the text was presented in sanskrit and telugu language (Bilingual). One of the most famous book in ayurvedic pharmaceutics and therapeutics. This book contains 25 chapters called as prakaranas. Many rasaoushadis were explained, pioneer of dhatu druti, nadi pareeksha, mutra pareeksha etc. Belongs to the period of 15-16 century. New diseases like upadamsha, phiranga rogas are explained.
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Search Engine Marketing: Tracking Pages Without JavaScript by Using Web Beacons
1. September 17, 2012Beacons: Tracking pages without JavaScript
Ignatius Hsu, Business Analyst – NavigationArts
ihsu@navigationarts.com, @ignatiushsu
2. Beacons
• What are they
• Scenarios
• Tracking communications channels
• How to use one today in Google
• Classic Async
• Universal Analytics
• Challenges
• http://bitly.com/bundles/ignatiushsu/3
9/17/20132 More Reading: http://bitly.com/bundles/ignatiushsu/3
3. 3 More Reading: http://bitly.com/bundles/ignatiushsu/39/17/2013
4. 4
• An image embedded in content such as emails and Web
pages
• Often invisible to the visitor, a 1x1 pixel gif (though
sometimes visible as display ad)
• Image is served from a third party
• Tracks movement on a piece of content or a site
• Also used in sites designed for feature phones
• Sometimes visitors are tracked across sites using third
party cookies
Embedded Beacons
More Reading: http://bitly.com/bundles/ignatiushsu/39/17/2013
5. 5
Embedded Beacon - Email
More Reading: http://bitly.com/bundles/ignatiushsu/39/17/2013
6. 6
Embedded Beacon - Email
More Reading: http://bitly.com/bundles/ignatiushsu/39/17/2013
7. 7
• Web analytics packages use JavaScript to capture visit
data, sends to server.
• The transmission of data to the server is known as an
“endpoint”. Many packages use a gif as their endpoint, not
unlike a beacon.
• gif - Google Async, Adobe SiteCatalyst
• URL - Google Universal Analytics
• Tracks movements within a site through first party cookies
(third party cookies are now rare)
JavaScript Beacons
More Reading: http://bitly.com/bundles/ignatiushsu/39/17/2013
8. 8
Beacons & Analytics
Embed Embed Dynamic JS
Channel Emails, Web Pages Web Pages
Beacon Embedded image on page Endpoint is dynamically
rendered on page, captures
visit data
Data storage Third party server captures
and stores referral data
Transmits visit data through
endpoint to a third party
server
Cookies Often uses cookies (3rd
party)
Uses cookies
(1st party)
Use Cases Ad Networks, Email
Marketing, Content on
forums/external sites,
other uses?
Owners of Websites
More Reading: http://bitly.com/bundles/ignatiushsu/39/17/2013
9. 9
Analytics Tracking Methods
Content Presentation Layer + Client Browser
JavaScript No JavaScript
Control over
Code
E.g. my website.
Web Analytics
(Google Analytics, Adobe
Analytics, etc.)
E.g. native iOS app.
Server side scripts, Mobile SDK
Frameworks
(Google Analytics for Mobile
Websites - php…, Flurry
iPhone/Android SDK, etc.)
No Control
over Code
E.g. social media.
Use analytics provided by
service or third party, if any.
(Facebook, Twitter, Hootsuite,
Radian6, etc.)
Can I insert an external image?
If yes, consider using a beacon.
E.g. email messages, forums, some
publishing platforms.
Use analytics provided by service
(MailChimp Analytics360)
Can I insert an external image? If
yes, use a beacon.
More Reading: http://bitly.com/bundles/ignatiushsu/39/17/2013
12. 12
Classic GA Beacon
Fully Static Beacon (see bit.ly Google Spreadsheet):
<img src="http://www.google-analytics.com/__utm.gif?&utmwv=1&utmn={{random-
number}}&utmhn=my.site.com&utmp=/filter-param/content.html&utmac=UA-
XXXXXXX-Y ||&utmr=-&utmcc={{long-cookie-string}}" />
• Pageview model.
• All pageviews tracked are tied to one unique visitor.
• No cookies stored.
Pre-rolled Appspot Beacon (see bit.ly AppSpot for the developer’s post):
<img src="http://nojsstats.appspot.com/UA-XXXXXXX-Y/my.site.com/filter-
param/content.html" />
• Pageview model.
• Each pageview creates a unique visitor.
• 1 pageview / unique session.
• Third party cookie stored.
More Reading: http://bitly.com/bundles/ignatiushsu/39/17/2013
13. Classic GA Beacon
13
1. Fill in these values (or
copy example values where
applicable). Cookie value is
a bit of a hack.
2. Copy this
Paste it wherever you need it
More Reading: http://bitly.com/bundles/ignatiushsu/39/17/2013
14. 14
GA Universal Beacon
Universal Analytics, Measurement Protocol:
• <img src="http://www.google-analytics.com/collect?v=1&tid=UA-XXXXXX-
Y&cid=9988776655&t=event&ec=email&ea=open&el=9988776655&cs=weekly-
promo&cm=email&cn=date-9-15-2013&cm1=1&cd1=9988776655" />
• Channel agnostic, track by event, pageview, app or social.
• Mix and match.
• Flexible.
• Tracks hits to visits.
• No cookie stored.
More Reading: http://bitly.com/bundles/ignatiushsu/39/17/2013
15. Universal Analytics Measurement Protocol
15
4. Copy this
5. Paste it wherever you
need it
1. For CID, insert
email or CRM
customer ID, if
possible
2. Complete fields for
pageview or event or
campaign.
More Reading: http://bitly.com/bundles/ignatiushsu/39/17/2013
17. Universal Measurement Protocol (optional enhancements)
17
• See bit.ly (below) for LunaMetrics resources on enhancements covered in this section
• Custom Metric 1 (cm1) – “Email Opens” –used in custom reports
• Scope: user
• Make active
• Custom Dimension 1 (cd1) – “Visitor ID” – allows stitching of client ID b/w email + site
• Formatting Type: Integer
• Min: 0, Max: 1
• Make active
More Reading: http://bitly.com/bundles/ignatiushsu/39/17/2013
18. Universal Measurement Protocol (optional enhancements)
18
In your page source, add this code within the GA script, after “ga('create', 'UA-XXXXXX-
Y', „my.site.com');”
ga(function(tracker) {
var hash = location.hash;
var mcId = hash.match('mc_eid=(.*)');
var cid = tracker.get('clientId');
if(mcID){
var vid = mcId[1];
ga('set', 'dimension1', vid);
}
});
Where mc_eid is the link parameter added by your email marketing suite for unique
customer ID. There may be other parametrs your email suite autotags.
Keep email link campaign codes consistent:
?utm_campaign=date-9-15-2013&utm_medium=email&utm_source=weekly-
promo&mc_eid=9988776655
More Reading: http://bitly.com/bundles/ignatiushsu/39/17/2013
20. Caution on Beacons
Classic
• Both versions have drawbacks (which is why we only use them when other options
aren‟t available).
• If pageviews are not tied to a unique visit, consider creating a new profile to track these
interactions, and filtering these out of your main profile(s) so as to not affect visit
metrics (bounce, pageviews/visit, time on site, etc).
Universal
• Pageviews are tied to visits. Events still count towards visit data, so like Classic, create
a new account and set up filters.
• Track external pages and emails as events. Less messy, at least until User ID arrives
(Universal is still in beta). Where possible, connect a Client ID to a user, and stitch data
between channels (e.g. email and website).
• In Universal Analytics, Client ID <> User ID.
• Client ID is supposed to be an anonymous ID, and is not a unique identifier.
• User ID is a customer ID.
• People speculate that User ID can be defined/switched by us in a future release.
20 More Reading: http://bitly.com/bundles/ignatiushsu/39/17/2013
21. 21
Speculating on the Future
Some vendors are already stitching cookie data in sophisticated ways. This diagram is a concept of how multi-channel
tacking might be done through cookies and a flexible analytics package. The devil is in the details. What are the privacy
implications, and how would customers opt-out?
Multi-Channel Tracking
More Reading: http://bitly.com/bundles/ignatiushsu/39/17/2013