Difference between Google Analytics and Universal Analytics
Table of Contents
Do you have a hard time explaining the difference between Classic Google Analytics and Universal Analytics to your client/boss? Then this article is for you.
There are still a lot of organizations out there, which use classic Google Analytics and they use classic GA because:
- They don’t know what universal analytics is. As shocking as it may sound today, but this is still true.
- They don’t really understand the difference between classic GA and universal analytics.
- They are not convinced whether universal analytics is worth migrating to.
- Some of them even believe that they are using Universal Analytics when in reality they are still using the classic GA tracking code on their website.
Universal Analytics is a new and better version of Google Analytics.
The difference between Classic Google Analytics and Universal Analytics can be explained by the following factors:
- Data collection and integration
- Data processing
- Custom dimensions and metrics
- Custom variables
- User interface
- Javascript library
- Tracking code
- Technical knowledge
- Referrals processing
- Cookies
- Privacy and data usage
Get the E-book (52 Pages)
Get the E-Book (37 Pages)
#1 Data Collection and Integration
# Universal Analytics (UA) provides more ways to collect and integrate different types of data than Google Analytics (GA).
# Through UA you can integrate data across multiple devices and platforms. This is something that is not possible with GA.
# Consequently UA provides better understanding of relationship between online and offline marketing channels that drive sales and conversions than GA.
#2 Data processing
# The date processing in UA is visitor based instead of visit (or session) based. This is not the case with Google Analytics.
# Consequently UA is more visitor centric than visit centric.
#3 Custom Dimensions and Metrics
# In UA you can create and use your own dimensions and metrics to collect the type of data, GA does not automatically collect (like phone call data, CRM data etc).
# These user defined dimensions and metrics are known as ‘custom dimensions’ and ‘custom metrics’.
# Through custom dimensions you can import additional data into your analytics account.
# GA does not allow you to define your own dimensions and metrics.
#4 Custom Variables
# UA uses custom dimensions instead of custom variables
# GA uses custom variables instead of custom dimensions.
# Though ‘custom dimensions’ are not available in GA, custom variables are still available in UA.
#5 User Interface
# Interface wise, both UA and GA reports look the same. The difference is in how each collect, integrate and process the data.
# However once you start using custom dimensions and custom metrics, your UA reports may look very different from your GA reports.
#6 JavaScript Library
# UA uses ‘analytics.js’ JavaScript library whereas GA uses ‘ga.js’ JavaScript library.
# The ‘analytic.js’ library is similar to ‘ga.js’ library but provides new set of features for collecting and integrating data.
#7 Tracking Code
# UA uses different tracking code than GA:
#8 Technical Knowledge
# To use all the features of UA you need good technical knowledge of your development environment/ platform or you should know someone who has such knowledge.
# Otherwise you may have a hard time using custom dimensions, custom metrics and integrating data across multiple devices/ platforms through measurement protocol and cross-device tracking.
# In UA almost everything from cross-domain tracking, event tracking to e-commerce tracking is implemented differently.
#9 Referrals Processing
In Universal Analytics, referrals are processed differently.
By default, all referrals trigger a new web session in UA. This can affect the total number of web sessions in your analytics reports.
For example, let us suppose a visitor arrived on the website www.abc.com from www.xyz.com then returned back to www.xyz.com. When the visitor arrived on the website www.abc.com from www.xyz.com, it will trigger a new web session for abc.com website. When the visitor returned back to www.xyz.com from www.abc.com, it will trigger another new web session for xyz.com:
If you do not want the new web session to be triggered when the visitor returned to www.xyz.com from www.abc.com then you need to exclude referrals from www.abc.com.
#10 Cookies
# Cookie is a text file that is used to store information about a visitor, his preferences, location, browsing behavior, and other details.
# While GA can use up to 7 cookies (_utma,_utmb,_utmc,_utmt,_utmz,_utmx and _utmv) to collect visitors’ usage data, UA uses only 2 cookies (_ga and _gat).
Related article: Google Analytics & Universal Analytics Cookies – Complete Guide
#11 Privacy and Data Usage
# The ability to collect more data about your users in UA come with a price and that price is privacy. You need to be more privacy concerns if you are using UA.
# Google warns against collecting any personally identifiable data in your UA account through user ID, custom dimensions, custom metrics, and custom data import. Google can terminate your analytics account if you breach this policy.
# You need to give your end users proper notice and get consent about what data you will collect via UA. You also need to give your end users the opportunity to ‘opt-out’ from being tracked.
# That means you need to make changes in your privacy and data usage policies. Google recommends using Google Analytics opt-out browser add on if you want to block Google Analytics.
Note: You can learn more about the UA usage guidelines from here and about the privacy from here.
#12 Server Side Configuration Settings
UA lets you change following server-side configuration settings via the account admin:
- Change session timeout
- Change campaign timeout
- Add/delete search engines
- Exclude referral traffic sources
- Exclude search terms
In case of GA you need to add special tracking codes to all the web page on your website to change each of the aforesaid server side configurations.
UA has simplified changing these server configurations by providing easy to use controls in the account ‘admin panel’ which do not require editing the existing tracking code, on every web page of your website.
#13 E-commerce Tracking
Universal Analytics provides advanced ecommerce tracking called ‘Enhanced E-commerce‘. This tracking is not available in Google Analytics.
Enhanced e-commerce tracking provides many more ways to collect and analyze e-commerce data than traditional ecommerce tracking. Thus enhanced ecommerce provides deeper insight into the e-commerce engagement of your users.
Enhanced ecommerce provides twice as many reports on users’ ecommerce activities than traditional ecommerce tracking:
To learn more about upgrading to Universal Analytics, check out this article: Universal Analytics Upgrade Guide
Related Articles:
Do you know the difference between Web Analytics and Google Analytics?
99.99% of course creators themselves don’t know the difference between Web analytics, Google Analytics (GA) and Google Tag Manager (GTM).
So they are teaching GA and GTM in the name of teaching Web analytics.
They just copy each other. Monkey see, monkey do.
But Web analytics is not about GA, GTM.
It is about analyzing and interpreting data, setting up goals, strategies and KPIs.
It’s about creating strategic roadmap for your business.
Web Analytics is the core skill. Google Analytics is just a tool used to implement ‘Web Analytics’.
You can also implement ‘Web analytics’ via other tools like ‘adobe analytics’, ‘kissmetrics’ etc.
Using Google Analytics without the good understanding of ‘Web analytics’ is like driving around in a car, in a big city without understanding the traffic rules and road signs.
You are either likely to end up somewhere other than your destination or you get involved in an accident.
You learn data analysis and interpretation from Web analytics and not from Google Analytics.
The direction in which your analysis will move, will determine the direction in which your marketing campaigns and eventually your company will move to get the highest possible return on investment.
You get that direction from ‘Web analytics’ and not from ‘Google Analytics’.
You learn to set up KPIs, strategies and measurement framework for your business from ‘Web analytics’ and not from ‘Google Analytics’.
So if you are taking a course only on 'Google Analytics’, you are learning to use one of the tools of ‘Web analytics’. You are not learning the ‘Web analytics’ itself.
Since any person can learn to use Google Analytics in couple of weeks, you do no get any competitive advantage in the marketplace just by knowing GA.
You need to know lot more than GA in order to work in Web analytics and marketing field.
So what I have done, if you are interested, is I have put together a completely free training that will teach you exactly how I have been able to leverage web/digital analytics to generate floods of news sales and customers and how you can literally copy what I have done to get similar results.
Here what You'll Learn On This FREE Web Class!
1) Why digital analytics is the key to online business success
2) The number 1 reason why most marketers are not able to scale their advertising and maximize sales.
3) Why Google and Facebook ads don’t work for most businesses & how to make them work.
4) Why you won’t get any competitive advantage in the marketplace just by knowing Google Analytics.
5) The number 1 reason why conversion optimization is not working for your business.
6) How to advertise on any marketing platform for FREE with an unlimited budget.
7) How to learn and master digital analytics and conversion optimization in record time.
My best selling books on Digital Analytics and Conversion Optimization
Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.
Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.
Attribution Modelling in Google Analytics and Beyond
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.
Attribution Modelling in Google Ads and Facebook
This book has been written to help you implement attribution modelling in Google Ads (Google AdWords) and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment.
Himanshu Sharma
Digital Marketing Consultant and Founder of Optimizesmart.com
Table of Contents
Do you have a hard time explaining the difference between Classic Google Analytics and Universal Analytics to your client/boss? Then this article is for you.
There are still a lot of organizations out there, which use classic Google Analytics and they use classic GA because:
- They don’t know what universal analytics is. As shocking as it may sound today, but this is still true.
- They don’t really understand the difference between classic GA and universal analytics.
- They are not convinced whether universal analytics is worth migrating to.
- Some of them even believe that they are using Universal Analytics when in reality they are still using the classic GA tracking code on their website.
Universal Analytics is a new and better version of Google Analytics.
The difference between Classic Google Analytics and Universal Analytics can be explained by the following factors:
- Data collection and integration
- Data processing
- Custom dimensions and metrics
- Custom variables
- User interface
- Javascript library
- Tracking code
- Technical knowledge
- Referrals processing
- Cookies
- Privacy and data usage
Get the E-book (52 Pages)
Get the E-Book (37 Pages)
#1 Data Collection and Integration
# Universal Analytics (UA) provides more ways to collect and integrate different types of data than Google Analytics (GA).
# Through UA you can integrate data across multiple devices and platforms. This is something that is not possible with GA.
# Consequently UA provides better understanding of relationship between online and offline marketing channels that drive sales and conversions than GA.
#2 Data processing
# The date processing in UA is visitor based instead of visit (or session) based. This is not the case with Google Analytics.
# Consequently UA is more visitor centric than visit centric.
#3 Custom Dimensions and Metrics
# In UA you can create and use your own dimensions and metrics to collect the type of data, GA does not automatically collect (like phone call data, CRM data etc).
# These user defined dimensions and metrics are known as ‘custom dimensions’ and ‘custom metrics’.
# Through custom dimensions you can import additional data into your analytics account.
# GA does not allow you to define your own dimensions and metrics.
#4 Custom Variables
# UA uses custom dimensions instead of custom variables
# GA uses custom variables instead of custom dimensions.
# Though ‘custom dimensions’ are not available in GA, custom variables are still available in UA.
#5 User Interface
# Interface wise, both UA and GA reports look the same. The difference is in how each collect, integrate and process the data.
# However once you start using custom dimensions and custom metrics, your UA reports may look very different from your GA reports.
#6 JavaScript Library
# UA uses ‘analytics.js’ JavaScript library whereas GA uses ‘ga.js’ JavaScript library.
# The ‘analytic.js’ library is similar to ‘ga.js’ library but provides new set of features for collecting and integrating data.
#7 Tracking Code
# UA uses different tracking code than GA:
#8 Technical Knowledge
# To use all the features of UA you need good technical knowledge of your development environment/ platform or you should know someone who has such knowledge.
# Otherwise you may have a hard time using custom dimensions, custom metrics and integrating data across multiple devices/ platforms through measurement protocol and cross-device tracking.
# In UA almost everything from cross-domain tracking, event tracking to e-commerce tracking is implemented differently.
#9 Referrals Processing
In Universal Analytics, referrals are processed differently.
By default, all referrals trigger a new web session in UA. This can affect the total number of web sessions in your analytics reports.
For example, let us suppose a visitor arrived on the website www.abc.com from www.xyz.com then returned back to www.xyz.com. When the visitor arrived on the website www.abc.com from www.xyz.com, it will trigger a new web session for abc.com website. When the visitor returned back to www.xyz.com from www.abc.com, it will trigger another new web session for xyz.com:
If you do not want the new web session to be triggered when the visitor returned to www.xyz.com from www.abc.com then you need to exclude referrals from www.abc.com.
#10 Cookies
# Cookie is a text file that is used to store information about a visitor, his preferences, location, browsing behavior, and other details.
# While GA can use up to 7 cookies (_utma,_utmb,_utmc,_utmt,_utmz,_utmx and _utmv) to collect visitors’ usage data, UA uses only 2 cookies (_ga and _gat).
Related article: Google Analytics & Universal Analytics Cookies – Complete Guide
#11 Privacy and Data Usage
# The ability to collect more data about your users in UA come with a price and that price is privacy. You need to be more privacy concerns if you are using UA.
# Google warns against collecting any personally identifiable data in your UA account through user ID, custom dimensions, custom metrics, and custom data import. Google can terminate your analytics account if you breach this policy.
# You need to give your end users proper notice and get consent about what data you will collect via UA. You also need to give your end users the opportunity to ‘opt-out’ from being tracked.
# That means you need to make changes in your privacy and data usage policies. Google recommends using Google Analytics opt-out browser add on if you want to block Google Analytics.
Note: You can learn more about the UA usage guidelines from here and about the privacy from here.
#12 Server Side Configuration Settings
UA lets you change following server-side configuration settings via the account admin:
- Change session timeout
- Change campaign timeout
- Add/delete search engines
- Exclude referral traffic sources
- Exclude search terms
In case of GA you need to add special tracking codes to all the web page on your website to change each of the aforesaid server side configurations.
UA has simplified changing these server configurations by providing easy to use controls in the account ‘admin panel’ which do not require editing the existing tracking code, on every web page of your website.
#13 E-commerce Tracking
Universal Analytics provides advanced ecommerce tracking called ‘Enhanced E-commerce‘. This tracking is not available in Google Analytics.
Enhanced e-commerce tracking provides many more ways to collect and analyze e-commerce data than traditional ecommerce tracking. Thus enhanced ecommerce provides deeper insight into the e-commerce engagement of your users.
Enhanced ecommerce provides twice as many reports on users’ ecommerce activities than traditional ecommerce tracking:
To learn more about upgrading to Universal Analytics, check out this article: Universal Analytics Upgrade Guide
Related Articles:
Do you know the difference between Web Analytics and Google Analytics?
99.99% of course creators themselves don’t know the difference between Web analytics, Google Analytics (GA) and Google Tag Manager (GTM).So they are teaching GA and GTM in the name of teaching Web analytics.
They just copy each other. Monkey see, monkey do.
But Web analytics is not about GA, GTM.
It is about analyzing and interpreting data, setting up goals, strategies and KPIs.
It’s about creating strategic roadmap for your business.
Web Analytics is the core skill. Google Analytics is just a tool used to implement ‘Web Analytics’.You can also implement ‘Web analytics’ via other tools like ‘adobe analytics’, ‘kissmetrics’ etc.
Using Google Analytics without the good understanding of ‘Web analytics’ is like driving around in a car, in a big city without understanding the traffic rules and road signs.
You are either likely to end up somewhere other than your destination or you get involved in an accident.
You learn data analysis and interpretation from Web analytics and not from Google Analytics.The direction in which your analysis will move, will determine the direction in which your marketing campaigns and eventually your company will move to get the highest possible return on investment.
You get that direction from ‘Web analytics’ and not from ‘Google Analytics’.
You learn to set up KPIs, strategies and measurement framework for your business from ‘Web analytics’ and not from ‘Google Analytics’.So if you are taking a course only on 'Google Analytics’, you are learning to use one of the tools of ‘Web analytics’. You are not learning the ‘Web analytics’ itself.
Since any person can learn to use Google Analytics in couple of weeks, you do no get any competitive advantage in the marketplace just by knowing GA.
You need to know lot more than GA in order to work in Web analytics and marketing field.
So what I have done, if you are interested, is I have put together a completely free training that will teach you exactly how I have been able to leverage web/digital analytics to generate floods of news sales and customers and how you can literally copy what I have done to get similar results.
Here what You'll Learn On This FREE Web Class!
1) Why digital analytics is the key to online business success
2) The number 1 reason why most marketers are not able to scale their advertising and maximize sales.
3) Why Google and Facebook ads don’t work for most businesses & how to make them work.
4) Why you won’t get any competitive advantage in the marketplace just by knowing Google Analytics.
5) The number 1 reason why conversion optimization is not working for your business.
6) How to advertise on any marketing platform for FREE with an unlimited budget.
7) How to learn and master digital analytics and conversion optimization in record time.
My best selling books on Digital Analytics and Conversion Optimization
Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.
Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.
Attribution Modelling in Google Analytics and Beyond
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.
Attribution Modelling in Google Ads and Facebook
This book has been written to help you implement attribution modelling in Google Ads (Google AdWords) and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment.
Himanshu Sharma
Digital Marketing Consultant and Founder of Optimizesmart.com