Google Analytics Tutorial – Understanding Traffic Acquisition
Google Analytics is a powerful tool. But just like any other tool, it is only as good as the person using it.
While some people are able to gain great insight through its creative usage, others are not able to move beyond page views and sessions.
In this article I am going to share some tips which can help you in getting the most out of Google Analytics reports on traffic acquisition.
In the analytics world, the word ‘why’ should always come before ‘what’ or anything else.
You must have clearly defined goal before you look into any report or do anything work related.
This can save you huge amount of time and resources.
Always ask yourself these questions before you begin any task:
Why I should do this task?
Is this the best use of my time?
Is it going to move the corporate needle?
If yes then how?
Which is the most efficient way to do it?
Then come up with a analysis strategy.
All of this may sound so obvious but we often forget to ask these questions and start working straightaway.
I have to often remind myself to ask these questions before starting any task and when I forget, I pay the price in terms of lost time and productivity.
Understanding Visitors’ Demographic
Use the ‘location’ report to understand your visitors’ demographics.
This report is available under Audience > Demographics in your Google Analytics account.
If you are running an international campaign or you have got an international presence then determine the top 3 countries which are sending majority of traffic, conversions and revenue to your website.
You need to optimize your website and campaigns for these countries in decreasing order of priority.
For example if the top country in terms of traffic and conversions is US, then it should get the top priority in terms of focus, budget and marketing efforts.
Pro Tip – Just stick to top 3 countries or maximum top 5 to get the most out of your efforts and resources.
Get the E-book (52 Pages)
Get the E-Book (37 Pages)
If you are running a National campaign or you have got a national presence then determine the top 3 Regions which are sending majority of traffic, conversions and revenue to your website. You need to optimize your website and campaigns for these regions in decreasing order of priority. For example if the top region in terms of traffic and conversions is California, then it should get the top priority in terms of focus, budget and marketing efforts.
Pro Tip – Just stick to top 3 regions or maximum top 5 to get the most out of your efforts and resources.
Understanding Visitors’ Behavior
Use the ‘New Vs. Returning Report’, ‘Frequency and Recency report’ and ‘Engagement report’ to understand visitor behavior and site stickiness. All these reports are available under Audience > Behavior in your Google Analytics account.
New Vs. Returning Report
Use this report to understand the behavior of new and returning visitors in terms of traffic sources, conversions and revenue. Apply the advanced segments: paid search traffic, non-paid search traffic, referral traffic, direct traffic etc to this report in order to gain behavioral insight for different traffic sources.
Frequency and Recency Report
The count of visits is the frequency. This frequency of visits is also known as the loyalty. The more frequently people visit your website, the more loyal they tend to be to your site. Apply the advanced segments: ‘visits with conversions’ and ‘visits with transactions’ to determine profitable visitors’ loyalty. This is the loyalty that leads to conversions and transactions.
Once you know the profitable user loyalty, you will know the average number of times a person must visit your website before he/she can convert. Following is a screenshot of profitable visitors’ loyalty of optimizesmart.com:
As you can see from the report, majority of conversions take place in the very first visit (or web session). The volume of conversions decline with return visits. Therefore in my case, repeated visits is not that profitable.
But for majority of ecommerce website, visitors’ loyalty is generally very important because people rarely buy on their very first visit. So you need to make sure that they must make return visits.
Apply the advanced segments: paid search traffic, non-paid search traffic, referral traffic, direct traffic etc. to this report to understand visitors’ loyalty for different traffic sources.
Recency is the number of days since last visit. If the time between two visits is less than 24 hours then Google will report recency as ‘0 days since last visit’. Apply the advanced segments: ‘visits with conversions’ and ‘visits with transactions’ to determine profitable visitors’ recency. This is the recency that leads to conversions and transactions.
Note: Generally when people are in the buying mode, they tend to visit a website several times (in multiple web sessions) within 24 hours before they make a purchase. Because of such user behavior, majority of ‘visits with transactions’ fall into the ‘0 days since last visit’ category.
Apply the advanced segments: paid search traffic, non-paid search traffic, referral traffic, direct traffic etc. to this report to understand visitors’ recency for different traffic sources.
Engagement Report
The engagement report consists of ‘visit duration’ and ‘page depth’ reports.
The visit duration is the length of visits (or web sessions) like 0 to 10 seconds, 11-30 seconds etc.
The page depth is the number of pages browsed by a person in a web session (or visit). The page depth can be 1,2,3,….20+. Again you need to apply the advanced segments: ‘visits with conversions’ and ‘visits with transactions’ to determine profitable user engagement.
Also apply the advanced segments: paid search traffic, non-paid search traffic, referral traffic, direct traffic etc. to these two reports to understand visitors’ engagement for different traffic sources.
Understanding Mobile Traffic
Check the ‘Mobile Overview’ report (under Audience > Mobile) to determine how much traffic, conversions and revenue is coming through Mobile Devices and how much is coming through non-mobile devices. Also click on the ‘compare to site average’ button to understand the mobile performance in comparison to site average.
Check the ‘Mobile Devices’ report to quickly determine the main big mobile traffic consumption platforms (Iphone, Ipad,Samsung etc) and the main sources of conversions and revenue via mobile. Now create a pivot table with following specifications:
- Primary Dimension: Mobile Device Info
- Pivot by: Source
- Pivot Metrics: Visits, Revenue
Note: You can learn about creating pivot tables in Google Analytics from this post: The Super Duper Guide to Google Analytics Pivot Tables
Once you have created the table, it will look something like this:
You can now determine the volume of traffic and conversions sent by mobile devices from different traffic sources. This can help you a lot in optimizing your mobile campaigns.
Note: If you are using a custom report, you can use ‘total goal completions’ and ‘revenue’ as pivot metrics in your report.
Understanding Traffic Acquisition Strategy
Your website must have a balanced portfolio of traffic sources. That means you should not depend on any one traffic and revenue source esp. search engines like Google. This is because if tomorrow your website got banned/penalized, you will lose majority of your traffic and revenue.
Therefore it is imperative that you diversify your traffic acquisition strategy and get traffic from different sources. Go to Traffic Overview Report (under Traffic Sources) and look for the following chart:
Ideally your search traffic should not be more than 40% of the total website traffic – If it is more than 50% then it means you are over dependent on search engines which is a high risk strategy.
Your Organic traffic > Paid Traffic. You must focus on reducing traffic acquisition cost all the time.
Direct Traffic around 30% – If direct traffic is less than 15% then it means you are either not good in customer service or you have got branding issues.
Related Article: Complete Guide to Direct Traffic in Google Analytics
Referring sites traffic around 20% – If referring traffic is too low then it means people don’t link out to you much and there are some serious issues with your link building and content marketing campaigns.
Traffic from Campaigns should be around 10 % – This is the traffic from any source other than organic search, PPC, referring sites or direct traffic. For e.g. traffic from email marketing campaigns, display ads, banner ads, social media campaigns etc.
Understanding the Overall Performance of Social Media, Referral Websites and other Campaigns
Check the ‘All Traffic Sources’ report to determine the top traffic, conversions and revenue sources. Create and apply following advanced segments to this report:
1. Create a ‘Social Media Traffic’ advanced segment which includes traffic only from social media websites. Click here to install it in your Google Analytics account.
2. Create an advanced segment which doesn’t include traffic from social media in the referral traffic. Click here to install this advanced segment.
3. Create an advanced segment which includes only campaigns traffic.
These three advanced segments will help you in understanding the overall performance of social media, referral websites and other campaigns in terms of traffic, conversions and revenue.
Visualizing the traffic coming through various traffic sources over time
Step-1: Apply following advanced segments to ‘All Traffic sources’ report:
- Campaigns (custom advanced segment)
- Traffic from Referral excluding Social Media (custom advanced segment)
- Paid Search Traffic (default advanced segment)
- Non Paid Search Traffic (default advanced segment)
- Direct Traffic (default advanced segment)
Note: you can apply only up to 4 advanced segments at a time to a GA report.
Step-2: Download the monthly visits data for each traffic source and then create following stacked area chart in Excel
Related Post: Ultimate Data Visualization Guide for SEO
Referral Traffic Analysis
Check the ‘Referrals Traffic’ report to determine top referrals in terms of traffic, conversions and revenue. Click on ‘compared to site average‘ button to track performance of referral sources in comparison to site average:
The green bars in this report indicate performance (here bounce rate of the referrals) better than the site average. The red bars indicate performance poorer than the site average. You can and you should compare other metrics like visits, goal conversion rate, e-commerce conversion rate etc to site average for better understanding of the referral traffic performance.
However the traditional referrals report is not ideal for very detailed analysis. So i would suggest creating custom report with following specifications:
Primary Dimension: Full Referrer
Metrics: visits, goal completions, revenue, goal conversion rate, e-commerce conversion rate, pageviews, pages/visit and bounce rate.
Apply the filter: Include – Traffic Type – Exact – Referral
Once you have created this report then set secondary dimension to ‘Landing Page’. You can now get a better understanding of the impact of referral traffic on your website.
Search Traffic Analysis
Check the ‘Search Overview’ report to determine the portion of the traffic, conversions and revenue coming from organic and paid search. Click on ‘compared to site average‘ button to track performance of search referrals in comparison to site average:
From this report we can conclude that the e-commerce conversion rate of the paid search traffic is 50% higher than the site average. Whereas the e-commerce conversion rate of the organic search traffic is 5% lower than the site average.
Organic Search Traffic Analysis
Check the ‘Organic Search Traffic’ report to determine the top keywords which are sending traffic, conversions and revenue to the website. Then do the advanced Keywords Performance Analysis. I use the following pivot table for advanced keywords analysis:
You can learn about creating this pivot table from this post: Building Super Advanced Keyword Performance Dashboard in Google Analytics & Excel
Paid Search Traffic Analysis
Check the ‘Paid Search Traffic’ report to determine the top keywords which are sending traffic, conversions and revenue to the website. Then do the advanced Paid Keywords Performance Analysis. I use the following pivot table for paid search keywords analysis:
Tracking the performance of Long Tail Keywords
There may be millions of ‘rare’ search terms in the tail, but the important things to ask are how much of the traffic they generate is relevant to a particular business and is there enough ROI to make it worth spending to chase those searches
– Ivor Morgan (Head of Sales & Marketing at Morpheus Limited, UK)
This is a brilliant question which was once asked from me on Linkedin and the answer is the following report:
From this report we can conclude that three words keyword phrases generated more revenue than one word and two words keyword phrases on Google.com.
You can similarly determine the performance of four words, five words…. keyword phrases on your business bottomline:
You can learn more about creating these reports from this post: Tracking Long tail keywords through Google Analytics
Other Posts you may find useful: 6 Simple steps to Create and Analyze a Marketing Strategy
Do you know the difference between Digital Analytics and Google Analytics?
99.99% of course creators themselves don’t know the difference between Digital analytics, Google Analytics (GA) and Google Tag Manager (GTM).
So they are teaching GA and GTM in the name of teaching Digital analytics.
They just copy each other. Monkey see, monkey do.
But Digital 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.
Digital Analytics is the core skill. Google Analytics is just a tool used to implement ‘Digital Analytics’.
You can also implement ‘Digital analytics’ via other tools like ‘adobe analytics’, ‘kissmetrics’ etc.
Using Google Analytics without the good understanding of ‘Digital 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 Digital 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 ‘Digital analytics’ and not from ‘Google Analytics’.
You learn to set up KPIs, strategies and measurement framework for your business from ‘Digital 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 ‘Digital analytics’. You are not learning the ‘Digital 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 digital 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 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) The number 1 reason why most marketers and business owners are not able to scale their advertising and maximise sales.
2) Why you won’t get any competitive advantage in the marketplace just by knowing Google Analytics.
3) The number 1 reason why conversion optimization is not working for your business.
4) How to advertise on any marketing platform for FREE with an unlimited budget.
5) How to learn and master digital analytics 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
Google Analytics is a powerful tool. But just like any other tool, it is only as good as the person using it.
While some people are able to gain great insight through its creative usage, others are not able to move beyond page views and sessions.
In this article I am going to share some tips which can help you in getting the most out of Google Analytics reports on traffic acquisition.
In the analytics world, the word ‘why’ should always come before ‘what’ or anything else.
You must have clearly defined goal before you look into any report or do anything work related.
This can save you huge amount of time and resources.
Always ask yourself these questions before you begin any task:
Why I should do this task?
Is this the best use of my time?
Is it going to move the corporate needle?
If yes then how?
Which is the most efficient way to do it?
Then come up with a analysis strategy.
All of this may sound so obvious but we often forget to ask these questions and start working straightaway.
I have to often remind myself to ask these questions before starting any task and when I forget, I pay the price in terms of lost time and productivity.
Understanding Visitors’ Demographic
Use the ‘location’ report to understand your visitors’ demographics.
This report is available under Audience > Demographics in your Google Analytics account.
If you are running an international campaign or you have got an international presence then determine the top 3 countries which are sending majority of traffic, conversions and revenue to your website.
You need to optimize your website and campaigns for these countries in decreasing order of priority.
For example if the top country in terms of traffic and conversions is US, then it should get the top priority in terms of focus, budget and marketing efforts.
Pro Tip – Just stick to top 3 countries or maximum top 5 to get the most out of your efforts and resources.
Get the E-book (52 Pages)
Get the E-Book (37 Pages)
If you are running a National campaign or you have got a national presence then determine the top 3 Regions which are sending majority of traffic, conversions and revenue to your website. You need to optimize your website and campaigns for these regions in decreasing order of priority. For example if the top region in terms of traffic and conversions is California, then it should get the top priority in terms of focus, budget and marketing efforts.
Pro Tip – Just stick to top 3 regions or maximum top 5 to get the most out of your efforts and resources.
Understanding Visitors’ Behavior
Use the ‘New Vs. Returning Report’, ‘Frequency and Recency report’ and ‘Engagement report’ to understand visitor behavior and site stickiness. All these reports are available under Audience > Behavior in your Google Analytics account.
New Vs. Returning Report
Use this report to understand the behavior of new and returning visitors in terms of traffic sources, conversions and revenue. Apply the advanced segments: paid search traffic, non-paid search traffic, referral traffic, direct traffic etc to this report in order to gain behavioral insight for different traffic sources.
Frequency and Recency Report
The count of visits is the frequency. This frequency of visits is also known as the loyalty. The more frequently people visit your website, the more loyal they tend to be to your site. Apply the advanced segments: ‘visits with conversions’ and ‘visits with transactions’ to determine profitable visitors’ loyalty. This is the loyalty that leads to conversions and transactions.
Once you know the profitable user loyalty, you will know the average number of times a person must visit your website before he/she can convert. Following is a screenshot of profitable visitors’ loyalty of optimizesmart.com:
As you can see from the report, majority of conversions take place in the very first visit (or web session). The volume of conversions decline with return visits. Therefore in my case, repeated visits is not that profitable.
But for majority of ecommerce website, visitors’ loyalty is generally very important because people rarely buy on their very first visit. So you need to make sure that they must make return visits.
Apply the advanced segments: paid search traffic, non-paid search traffic, referral traffic, direct traffic etc. to this report to understand visitors’ loyalty for different traffic sources.
Recency is the number of days since last visit. If the time between two visits is less than 24 hours then Google will report recency as ‘0 days since last visit’. Apply the advanced segments: ‘visits with conversions’ and ‘visits with transactions’ to determine profitable visitors’ recency. This is the recency that leads to conversions and transactions.
Note: Generally when people are in the buying mode, they tend to visit a website several times (in multiple web sessions) within 24 hours before they make a purchase. Because of such user behavior, majority of ‘visits with transactions’ fall into the ‘0 days since last visit’ category.
Apply the advanced segments: paid search traffic, non-paid search traffic, referral traffic, direct traffic etc. to this report to understand visitors’ recency for different traffic sources.
Engagement Report
The engagement report consists of ‘visit duration’ and ‘page depth’ reports.
The visit duration is the length of visits (or web sessions) like 0 to 10 seconds, 11-30 seconds etc.
The page depth is the number of pages browsed by a person in a web session (or visit). The page depth can be 1,2,3,….20+. Again you need to apply the advanced segments: ‘visits with conversions’ and ‘visits with transactions’ to determine profitable user engagement.
Also apply the advanced segments: paid search traffic, non-paid search traffic, referral traffic, direct traffic etc. to these two reports to understand visitors’ engagement for different traffic sources.
Understanding Mobile Traffic
Check the ‘Mobile Overview’ report (under Audience > Mobile) to determine how much traffic, conversions and revenue is coming through Mobile Devices and how much is coming through non-mobile devices. Also click on the ‘compare to site average’ button to understand the mobile performance in comparison to site average.
Check the ‘Mobile Devices’ report to quickly determine the main big mobile traffic consumption platforms (Iphone, Ipad,Samsung etc) and the main sources of conversions and revenue via mobile. Now create a pivot table with following specifications:
- Primary Dimension: Mobile Device Info
- Pivot by: Source
- Pivot Metrics: Visits, Revenue
Note: You can learn about creating pivot tables in Google Analytics from this post: The Super Duper Guide to Google Analytics Pivot Tables
Once you have created the table, it will look something like this:
You can now determine the volume of traffic and conversions sent by mobile devices from different traffic sources. This can help you a lot in optimizing your mobile campaigns.
Note: If you are using a custom report, you can use ‘total goal completions’ and ‘revenue’ as pivot metrics in your report.
Understanding Traffic Acquisition Strategy
Your website must have a balanced portfolio of traffic sources. That means you should not depend on any one traffic and revenue source esp. search engines like Google. This is because if tomorrow your website got banned/penalized, you will lose majority of your traffic and revenue.
Therefore it is imperative that you diversify your traffic acquisition strategy and get traffic from different sources. Go to Traffic Overview Report (under Traffic Sources) and look for the following chart:
Ideally your search traffic should not be more than 40% of the total website traffic – If it is more than 50% then it means you are over dependent on search engines which is a high risk strategy.
Your Organic traffic > Paid Traffic. You must focus on reducing traffic acquisition cost all the time.
Direct Traffic around 30% – If direct traffic is less than 15% then it means you are either not good in customer service or you have got branding issues.
Related Article: Complete Guide to Direct Traffic in Google Analytics
Referring sites traffic around 20% – If referring traffic is too low then it means people don’t link out to you much and there are some serious issues with your link building and content marketing campaigns.
Traffic from Campaigns should be around 10 % – This is the traffic from any source other than organic search, PPC, referring sites or direct traffic. For e.g. traffic from email marketing campaigns, display ads, banner ads, social media campaigns etc.
Understanding the Overall Performance of Social Media, Referral Websites and other Campaigns
Check the ‘All Traffic Sources’ report to determine the top traffic, conversions and revenue sources. Create and apply following advanced segments to this report:
1. Create a ‘Social Media Traffic’ advanced segment which includes traffic only from social media websites. Click here to install it in your Google Analytics account.
2. Create an advanced segment which doesn’t include traffic from social media in the referral traffic. Click here to install this advanced segment.
3. Create an advanced segment which includes only campaigns traffic.
These three advanced segments will help you in understanding the overall performance of social media, referral websites and other campaigns in terms of traffic, conversions and revenue.
Visualizing the traffic coming through various traffic sources over time
Step-1: Apply following advanced segments to ‘All Traffic sources’ report:
- Campaigns (custom advanced segment)
- Traffic from Referral excluding Social Media (custom advanced segment)
- Paid Search Traffic (default advanced segment)
- Non Paid Search Traffic (default advanced segment)
- Direct Traffic (default advanced segment)
Note: you can apply only up to 4 advanced segments at a time to a GA report.
Step-2: Download the monthly visits data for each traffic source and then create following stacked area chart in Excel
Related Post: Ultimate Data Visualization Guide for SEO
Referral Traffic Analysis
Check the ‘Referrals Traffic’ report to determine top referrals in terms of traffic, conversions and revenue. Click on ‘compared to site average‘ button to track performance of referral sources in comparison to site average:
The green bars in this report indicate performance (here bounce rate of the referrals) better than the site average. The red bars indicate performance poorer than the site average. You can and you should compare other metrics like visits, goal conversion rate, e-commerce conversion rate etc to site average for better understanding of the referral traffic performance.
However the traditional referrals report is not ideal for very detailed analysis. So i would suggest creating custom report with following specifications:
Primary Dimension: Full Referrer
Metrics: visits, goal completions, revenue, goal conversion rate, e-commerce conversion rate, pageviews, pages/visit and bounce rate.
Apply the filter: Include – Traffic Type – Exact – Referral
Once you have created this report then set secondary dimension to ‘Landing Page’. You can now get a better understanding of the impact of referral traffic on your website.
Search Traffic Analysis
Check the ‘Search Overview’ report to determine the portion of the traffic, conversions and revenue coming from organic and paid search. Click on ‘compared to site average‘ button to track performance of search referrals in comparison to site average:
From this report we can conclude that the e-commerce conversion rate of the paid search traffic is 50% higher than the site average. Whereas the e-commerce conversion rate of the organic search traffic is 5% lower than the site average.
Organic Search Traffic Analysis
Check the ‘Organic Search Traffic’ report to determine the top keywords which are sending traffic, conversions and revenue to the website. Then do the advanced Keywords Performance Analysis. I use the following pivot table for advanced keywords analysis:
You can learn about creating this pivot table from this post: Building Super Advanced Keyword Performance Dashboard in Google Analytics & Excel
Paid Search Traffic Analysis
Check the ‘Paid Search Traffic’ report to determine the top keywords which are sending traffic, conversions and revenue to the website. Then do the advanced Paid Keywords Performance Analysis. I use the following pivot table for paid search keywords analysis:
Tracking the performance of Long Tail Keywords
There may be millions of ‘rare’ search terms in the tail, but the important things to ask are how much of the traffic they generate is relevant to a particular business and is there enough ROI to make it worth spending to chase those searches
– Ivor Morgan (Head of Sales & Marketing at Morpheus Limited, UK)
This is a brilliant question which was once asked from me on Linkedin and the answer is the following report:
From this report we can conclude that three words keyword phrases generated more revenue than one word and two words keyword phrases on Google.com.
You can similarly determine the performance of four words, five words…. keyword phrases on your business bottomline:
You can learn more about creating these reports from this post: Tracking Long tail keywords through Google Analytics
Other Posts you may find useful: 6 Simple steps to Create and Analyze a Marketing Strategy
Do you know the difference between Digital Analytics and Google Analytics?
99.99% of course creators themselves don’t know the difference between Digital analytics, Google Analytics (GA) and Google Tag Manager (GTM).So they are teaching GA and GTM in the name of teaching Digital analytics.
They just copy each other. Monkey see, monkey do.
But Digital 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.
Digital Analytics is the core skill. Google Analytics is just a tool used to implement ‘Digital Analytics’.You can also implement ‘Digital analytics’ via other tools like ‘adobe analytics’, ‘kissmetrics’ etc.
Using Google Analytics without the good understanding of ‘Digital 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 Digital 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 ‘Digital analytics’ and not from ‘Google Analytics’.
You learn to set up KPIs, strategies and measurement framework for your business from ‘Digital 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 ‘Digital analytics’. You are not learning the ‘Digital 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 digital 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 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) The number 1 reason why most marketers and business owners are not able to scale their advertising and maximise sales.
2) Why you won’t get any competitive advantage in the marketplace just by knowing Google Analytics.
3) The number 1 reason why conversion optimization is not working for your business.
4) How to advertise on any marketing platform for FREE with an unlimited budget.
5) How to learn and master digital analytics 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