100+ Google Analytics Remarketing Audiences for Retargeting
Table of Contents
- Remarketing Audience for Ecommerce Websites
- Ecommerce Abandonments
- Determining the Most Important Remarketing Audiences
- Repeat Customers
- New Customers
- Prospects
- Remarketing Audiences for High Value Repeat Customers
- High Value Checkout Abandonment
- High Value Basket Abandonment
- High Value Shopping Abandonment
- Remarketing Audiences for Average Repeat Customers
- Checkout Abandonment by Average Repeat Customers
- Basket Abandonment by Average Repeat Customers
- Shopping Abandonment by Average Repeat Customers
- Remarketing General – Average Repeat Customers
- Remarketing Audiences for Prospects
- Checkout Abandonment by Prospects
- Basket Abandonment by Prospects
- Shopping Abandonment by Prospects
- Remarketing Audience for Non-Ecommerce Websites
- Low Value Remarketing Audiences
- Creating Remarketing Audiences in Google Analytics
- Method-1 – Preconfigured Audiences
- Method-2 – Google Analytics Solution Gallery
- Method-3 – Google Analytics Advanced Segment
- Method-4 – Creating Brand New Remarketing Audience
- Other Articles on Remarketing in Google Analytics
In this article, I will show more than 100 different ways to remarket to your target audience.
You will learn about more than 100 different customers personas and how they can be used to get optimum results from your marketing campaings, budget and testing efforts.
In addition to this, you will learn:
#1 About different types of ecommerce abandonments.
#2 How to determine most important remarketing audiences
#3 What are low value remarketing audiences.
#4 Four different methods for creating remarketing audiences in Google Analytics.
#5 How to use Dynamic remarketing in Google Analytics and Google Adwords
#6 How to use enhanced ecommerce segments for remarketing in Google Analytics.
This article will change the way you think about your target audience for good. That’s a promise.
Remarketing Audience for Ecommerce Websites
In the context of ecommerce, a remarketing audience is a list of users who started any shopping activity on your website.
The shopping activity could be any or all of the following activities:
- Viewing an internal promotion campaign
- Clicking on an internal promotion campaign
- Searching the website to find a particular product
- Viewing a product category page
- Clicking on one of the product links on a product category page
- Viewing a product detail page
- Adding products to the shopping cart
- Removing products from the shopping cart
- Starting a checkout process
- Abandoning a checkout process
- Making a purchase
- Adding Coupon Code
- Asking for a refund
- Viewing a product which is no longer available
- Adding a product to the shopping cart which is no longer available
- Adding a product to the wish list
- Watching a product video
Any or all of these shopping activities can be abandoned by users before they bounce from your website.
Get the E-Book (37 Pages)
Ecommerce Abandonments
Depending upon the shopping activities abandoned, before website exit, we can have three categories of ecommerce abandonments:
#1 Checkout abandonment – starting the checkout process but not making a purchase
#2 Basket abandonment – adding products to the shopping cart but not starting the checkout process.
#3 Shopping abandonment – starting a shopping activity but not adding any product to the shopping cart.
Determining the Most Important Remarketing Audiences
Users who abandoned the checkout have highest propensity of making a purchase in subsequent sessions (if correctly retargeted) because they showed lot of interest in making a purchase.
Alternatively, users who abandoned the shopping have a low propensity of making a purchase in subsequent sessions because they didn’t show any considerable interest in making a purchase.
In retail language, these are the people who were “just looking around”.
Consequently, users who abandoned the checkout are more important retargeting audience than the users who abandoned the basket or shopping.
Following are the examples of remarketing audiences which are most likely to convert in subsequent sessions:
#1 Repeat Customers
#2 New Customers
#3 Prospects
Repeat Customers
Customers who have made two or more transactions on the website are repeat customers.
There are three categories of repeat customers:
#1 High value repeat customers
#2 Low Value repeat customers
#3 Average repeat customers
High Value Repeat Customers
Repeat customers who frequently spend more than the average order value of your website or who frequently buy high priced products are high value repeat customers.
These are the most profitable customers for your business and you should always identify them, cherish them and re-target them with irresistible offers.
Low Value Repeat Customers
Repeat customers who frequently spend less than the average order value of your website or who frequently buy low priced products are low value repeat customers.
These customers are less profitable than their corresponding high value counterparts but they are still important remarketing audience.
Average Repeat Customers
Repeat customers who do not show any pattern while making a purchase are your average repeat customers.
These customers can buy any product regardless of their price.
Any repeat customer who can’t be put into high value or low value bracket is your average repeat customer.
New Customers
Customers who have made only one transaction on the website so far are new customers.
Prospects
Prospects are those users who started any shopping activity on your website but didn’t make a purchase.
So when it comes to retargeting, “who” has abandoned the shopping activity is as important as the type of abandonment.
So repeat customers who abandoned the checkout process are more important for retargeting than new customers who abandoned the checkout process (while trying to make a second purchase on your website).
Similarly, among repeat customers, high value repeat customers are more important for retargeting than low value or average repeat customers.
And it is not just about who is more important or less important for retargeting. It is more about the type of messaging and offer you need to use for retargeting.
You can’t remarket to all users in the same way, though many marketers do that.
The ad copy and offer for retargeting repeat customers would be different than the ad copy and offer for retargeting new customers or prospects.
Similarly, the ad copy and offer for retargeting high value repeat customers would be different than the ad copy and offer for retargeting low value or average repeat customers.
This is because not all remarketing audiences are equally valuable for your business bottom line. Some audiences are more valuable than others. So you can’t have one size fit all remarketing campaigns.
For example, if you sell pet food, you don’t want to retarget cat owners with dog food ads and dog owners with cat food ads.
Similarly you don’t want to retarget people with printers’ ads when they showed interest in buying books from your website.
Therefore such type of segmentation of remarketing audiences is critical esp. if you manage a large online store with tens of thousands of products and hundreds of product categories and you need to prioritize your re-marketing efforts in order to get optimum results from your remarketing campaigns, marketing budget and testing.
Remarketing Audiences for High Value Repeat Customers
Following are the examples of remarketing audiences which are made up of high value repeat customers and which are most likely to convert in subsequent sessions if correctly re-targeted:
- High Value Checkout Abandonment
- High Value Basket Abandonment
- High Value Shopping Abandonment
High Value Checkout Abandonment
#1 High value repeat customers who abandoned the checkout of a particular product.
#2 High value repeat customers who abandoned the checkout of a particular product category.
#3 High value repeat customers who started the checkout process but abandon it.
#4 High value repeat customers who clicked on an internal / external promotion campaign but didn’t make a purchase. These customers are the people who clicked on one of your text or display ads (hosted on your website or some other website) but didn’t make a purchase.
#5 High value repeat customers who abandoned the checkout because of some website error during the checkout.
#6 High value repeat customers who searched for a product on the website but didn’t make a purchase.
#7 High value repeat customers who watched a product video on the website but didn’t make a purchase.
High Value Basket Abandonment
#1 High value repeat customers who added a particular product to the shopping cart but didn’t start the checkout process.
#2 High value repeat customers who added any product of a particular product category to the shopping cart but didn’t start the checkout process.
#3 High value repeat customers who added a product to the shopping cart but didn’t start the checkout process.
#4 High value repeat customers who clicked on an internal / external promotion campaign but didn’t start the checkout process.
#5 High value repeat customers who searched for a product on the website but didn’t start the checkout process.
#6 High value repeat customers who watched a product video on the website but didn’t start the checkout process.
High Value Shopping Abandonment
#1 High value repeat customers who viewed a particular product but didn’t add it to the shopping cart.
#2 High value repeat customers who viewed any product of a particular product category but didn’t add it to the shopping cart.
#3 High value repeat customers who viewed a product but didn’t add it to the shopping cart.
#4 High value repeat customers who viewed a particular product category page but didn’t click on any product link.
#5 High value repeat customers who viewed a product category page but didn’t click on any product link.
#6 High value repeat customers who viewed an internal/external promotion campaign but didn’t click on it.
#7 High value repeat customers who searched for a product on the website but didn’t add any product to the shopping cart.
#8 High value repeat customers who searched for a product on the website but didn’t get any search results.
#9 High value repeat customers who watched a product video on the website but didn’t add the product to the shopping cart.
#10 High value repeat customers who added a product to the wish list.
Similarly, you can have remarketing audiences for low value repeat customers.
However, remarketing audiences for average repeat customers would be slightly different.
Remarketing Audiences for Average Repeat Customers
Following are the examples of remarketing audiences which are made up of average repeat customers and which are most likely to convert in subsequent sessions if correctly re-targeted:
- Checkout Abandonment by average repeat customers
- Basket Abandonment by average repeat customers
- Shopping Abandonment by average repeat customers
- Remarketing to average repeat customers
Checkout Abandonment by Average Repeat Customers
#1 Repeat customers who abandoned the checkout of a particular high priced product.
#2 Repeat customers who abandoned the checkout of a particular low priced product.
#3 Repeat customers who abandoned the checkout of a particular product.
#4 Repeat customers who abandoned the checkout of a particular high priced product category.
#5 Repeat customers who abandoned the checkout of a particular low priced product category.
#6 Repeat customers who abandoned the checkout of a particular product category.
#7 Repeat customers who started the checkout process but abandon it.
#8 Repeat customers who clicked on an internal/external promotion campaign but didn’t make a purchase.
#9 Repeat customers who abandoned the checkout because of some website error during the checkout.
#10 Repeat customers who searched for a product on the website but didn’t make a purchase.
#11 Repeat customers who watched a product video on the website but didn’t make a purchase
Basket Abandonment by Average Repeat Customers
#1 Repeat customers who added a particular high priced product to the shopping cart but didn’t start the checkout process.
#2 Repeat customers who added a particular low priced product to the shopping cart but didn’t start the checkout process.
#3 Repeat customers who added a particular product to the shopping cart but didn’t start the checkout process.
#4 Repeat customers who added any product of a particular high priced product category to the shopping cart but didn’t start the checkout process.
#5 Repeat customers who added any product of a particular low priced product category to the shopping cart but didn’t start the checkout process.
#6 Repeat customers who added a product of a particular product category to the shopping cart but didn’t start the checkout process.
#7 Repeat customers who added a product to the shopping cart but didn’t start the checkout process.
#8 Repeat customers who clicked on an internal / external promotion campaign but didn’t start the checkout process.
#9 Repeat customers who searched for a product on the website but didn’t start the checkout process.
#10 Repeat customers who watched a product video on the website but didn’t start the checkout process.
Shopping Abandonment by Average Repeat Customers
#1 Repeat customers who viewed a particular high priced product but didn’t add it to the shopping cart.
#2 Repeat customers who viewed a particular low priced product but didn’t add it to the shopping cart.
#3 Repeat customers who viewed a particular product but didn’t add it to the shopping cart.
#4 Repeat customers who viewed any product of a particular high priced product category but didn’t add it to the shopping cart.
#5 Repeat customers who viewed any product of a particular low priced product category but didn’t add it to the shopping cart.
#6 Repeat customers who viewed any product of a particular product category but didn’t add it to the shopping cart.
#7 Repeat customers who viewed a product but didn’t add it to the shopping cart.
#8 Repeat customers who viewed a particular high priced product category but didn’t click on any product link.
#9 Repeat customers who viewed a particular low priced product category but didn’t click on any product link.
#10 Repeat customers who viewed a particular product category but didn’t click on any product link.
#11 Repeat customers who viewed a product category page but didn’t click on any product link.
#12 Repeat customers who viewed an internal /external promotion campaign but didn’t click on it.
#13 Repeat customers who searched for a product on the website but didn’t add any product to the shopping cart.
#14 Repeat customers who searched for a product on the website but didn’t get any search results.
#15 Repeat customers who watched a product video on the website but didn’t add any product to the shopping cart.
#16 Repeat customers who added a product to the wish list.
Remarketing General – Average Repeat Customers
#1 Repeat Customers in general
#2 Repeat Customers of a particular product
#3 Repeat Customers of a product category
#4 Repeat Customers who spent more than the average order value (High Value Loyal customers)
#5 Repeat Customers who spent less than the average order value (Low Value Loyal customers).
#6 Repeat Customers who viewed a particular product detail page but didn’t make a purchase
#7 Repeat Customers who viewed a particular product category page but didn’t make a purchase
#8 Repeat customers who used the coupon code during the checkout.
#9 Repeat customers who always use coupon codes during checkout.
#10 Repeat customers who have stopped making purchase from your website.
#11 Repeat customers who searched for a product on the website
Similarly, you can have remarketing audiences for new customers.
However, remarketing audiences for prospects would be slightly different.
Remarketing Audiences for Prospects
Following are the examples of remarketing audiences, made up of prospects which are most likely to convert in subsequent sessions if correctly re-targeted:
- Checkout Abandonment by prospects
- Basket Abandonment by prospects
- Shopping abandonment by prospects
Checkout Abandonment by Prospects
#1 Users who abandoned the checkout of a high priced product (high value prospects)
#2 User who abandoned the checkout of a high priced product category. (high value prospects)
#3 Users who abandoned the checkout of a low priced product (low value prospects)
#4 User who abandoned the checkout of a low priced product category. (low value prospects)
#5 Users who started the checkout process but abandon it.
#6 Users who abandoned the checkout after entering an invalid coupon code.
#7 Users who abandoned the checkout because of some website error during the checkout.
#8 Users who searched for a product on the website but didn’t make a purchase.
#9 Users who watched a product video on the website but didn’t make a purchase.
#10 Users who added a product to the wish list but never purchased it.
Basket Abandonment by Prospects
#1 Users who added a high priced product to the shopping cart but didn’t start the checkout process (high value prospects)
#2 Users who added the product of a high priced product category to the shopping cart but didn’t start the checkout process (high value prospects)
#3 Users who added a low priced product to the shopping cart but didn’t start the checkout process (low value prospects)
#4 Users who added the product of a low priced product category to the shopping cart but didn’t start the checkout process (low value prospects)
#5 Users who added items more than the average order value, to the shopping cart but didn’t start the checkout process (high value prospects).
#6 Users who added items less than the average order value, to the shopping cart but didn’t start the checkout process (low value prospects).
#7 Users who added a particular product to the shopping cart but didn’t start the checkout process
#8 Users who added a product of a particular product category to the shopping cart but didn’t start the checkout process
#9 Users who added a product to the shopping cart but didn’t start the checkout process
#10 Users who searched for a product on the website but didn’t start the checkout process
#11 Users who watched a product video on the website but didn’t start the checkout process.
Shopping Abandonment by Prospects
#1 Users who viewed a high priced product but didn’t add it to the shopping cart.
#2 Users who viewed a high priced product category but didn’t add any product to the shopping cart.
#3 Users who viewed a product higher than the average order value but didn’t add it to the shopping cart.
#4 Users who viewed a product category higher than the average order value but didn’t add any product to the shopping cart.
#5 Users who viewed a product but didn’t add it to the shopping cart.
#6 User who viewed a particular high priced product category but didn’t click on any product link.
#7 Users who viewed a particular low priced product category but didn’t click on any product link.
#8 Users who viewed a particular product category but didn’t click on any product link.
#9 Users who viewed a product category page but didn’t click on any product link.
#10 Users who clicked on an internal promotion campaign but didn’t add any product to the shopping cart.
#11 Users who searched for a product on the website but didn’t get any search results.
#12 Users who watched a product video on the website but didn’t add the product to the shopping cart.
Remarketing Audience for Non-Ecommerce Websites
In the context of non-ecommerce, Remarketing audience is a list of users who abandoned a micro-conversion (like signup, viewing a key page, watching video, listening to podcast etc) on your website.
Following are the examples of remarketing audiences for non-ecommerce websites, which are most likely to convert in subsequent sessions if correctly re-targeted:
#1 Users who viewed a internal promotion campaign but did not complete a micro conversion (like submitting a lead)
#2 Users who viewed a internal promotion campaign but did not click on it.
#3 Users who clicked on a internal promotion campaign but did not complete a micro conversion.
#4 User who searched the website but did not complete a micro conversion.
#5 User who viewed a campaign video but did not complete a micro conversion.
#6 Users who abandoned the lead generation form.
#7 Users who saw one of the key pages on your website like ‘contact us’ page, ‘Make donation’ page etc but did not complete micro conversion (like making a phone call).
Low Value Remarketing Audiences
There is one more category of remarketing audience which is made up of a list of users who visited your website but didn’t start any shopping activity on your website (in case of ecommerce website) or who didn’t complete any micro conversion (in case of non-ecommerce website)
These are low value remarketing audiences as they didn’t show any interest in completing a goal conversion on your website. They are low value because their likelihood of converting is close to zero.
Just because someone visits your website once, does not always automatically qualify him/her to become a part of your remarketing audience.
You should consider re-targeting these audiences only when you overall website traffic is too low.
Also, remember that some of these users may not be your target audience at all (accidentally visited your website because of poor targeting) or may not even be humans (bots traffic)
Creating Remarketing Audiences in Google Analytics
There are 4 methods you can use to create remarketing audiences in Google Analytics:
- Method-1 (Preconfigured Audiences)
- Method-2 (Google Analytics Solution Gallery)
- Method-3 ( Google Analytics advanced segment)
- Method-4 (creating brand new remarketing audience)
Method-1 – Preconfigured Audiences
You can use one of the preconfigured audiences available in Google Analytics: Admin section > Property > Audience Definitions > Audiences
#1 Smart List
A smart list is a list of users who are most likely to convert in subsequent sessions. This list is managed by Google and is automatically updated (i.e. users are automatically added or removed from the list) on the basis of some machine learning algorithm.
Google generates smart list on the basis of the conversion data of your website or similar websites. If your website generates at least 500 orders every month and at least 10,000 page views each day then your smart list is generated on the basis of your website conversion data. Otherwise the smart list is generated on the basis of other similar websites’ conversion data.
#2 All users – all visitors (both new and returning visitors) of your website.
#3 New Users – users who triggered only one session/visit on your website.
#4 Returning users – users who triggered at least 2 sessions/visits on your website.
Other pre-configured audiences are self-explanatory.
You can learn more about creating remarketing audiences from this article: https://support.google.com/analytics/answer/2611404?hl=en
Method-2 – Google Analytics Solution Gallery
You can import remarketing audiences from Google Analytics Solution Gallery:
Method-3 – Google Analytics Advanced Segment
You can use any Google Analytics advanced segment (whether system, custom or enhanced ecommerce segment) to build your remarketing audience:
You can learn more about creating remarketing audiences from advanced segment from this article: https://support.google.com/analytics/answer/6015314?hl=en#create
Method-4 – Creating Brand New Remarketing Audience
You can create a brand new remarketing audience from scratch by clicking on the ‘Create New’ button:
Note: You can create up to 2000 remarketing audiences per GA account.
Other Articles on Remarketing in Google Analytics
#1 Guide to Dynamic remarketing in Google Analytics & Adwords – Learn to implement Dynamic re-marketing campaigns in Google Analytics and Google Adwords. Learn about dynamic attributes and dynamic remarketing audiences.
#2 Using Enhanced E-Commerce segments for Remarketing in Google Analytics – Learn to use Enhanced E-Commerce segments for creating Remarketing audience in Google Analytics.
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
- Remarketing Audience for Ecommerce Websites
- Ecommerce Abandonments
- Determining the Most Important Remarketing Audiences
- Repeat Customers
- New Customers
- Prospects
- Remarketing Audiences for High Value Repeat Customers
- High Value Checkout Abandonment
- High Value Basket Abandonment
- High Value Shopping Abandonment
- Remarketing Audiences for Average Repeat Customers
- Checkout Abandonment by Average Repeat Customers
- Basket Abandonment by Average Repeat Customers
- Shopping Abandonment by Average Repeat Customers
- Remarketing General – Average Repeat Customers
- Remarketing Audiences for Prospects
- Checkout Abandonment by Prospects
- Basket Abandonment by Prospects
- Shopping Abandonment by Prospects
- Remarketing Audience for Non-Ecommerce Websites
- Low Value Remarketing Audiences
- Creating Remarketing Audiences in Google Analytics
- Method-1 – Preconfigured Audiences
- Method-2 – Google Analytics Solution Gallery
- Method-3 – Google Analytics Advanced Segment
- Method-4 – Creating Brand New Remarketing Audience
- Other Articles on Remarketing in Google Analytics
In this article, I will show more than 100 different ways to remarket to your target audience.
You will learn about more than 100 different customers personas and how they can be used to get optimum results from your marketing campaings, budget and testing efforts.
In addition to this, you will learn:
#1 About different types of ecommerce abandonments.
#2 How to determine most important remarketing audiences
#3 What are low value remarketing audiences.
#4 Four different methods for creating remarketing audiences in Google Analytics.
#5 How to use Dynamic remarketing in Google Analytics and Google Adwords
#6 How to use enhanced ecommerce segments for remarketing in Google Analytics.
This article will change the way you think about your target audience for good. That’s a promise.
Remarketing Audience for Ecommerce Websites
In the context of ecommerce, a remarketing audience is a list of users who started any shopping activity on your website.
The shopping activity could be any or all of the following activities:
- Viewing an internal promotion campaign
- Clicking on an internal promotion campaign
- Searching the website to find a particular product
- Viewing a product category page
- Clicking on one of the product links on a product category page
- Viewing a product detail page
- Adding products to the shopping cart
- Removing products from the shopping cart
- Starting a checkout process
- Abandoning a checkout process
- Making a purchase
- Adding Coupon Code
- Asking for a refund
- Viewing a product which is no longer available
- Adding a product to the shopping cart which is no longer available
- Adding a product to the wish list
- Watching a product video
Any or all of these shopping activities can be abandoned by users before they bounce from your website.
Get the E-Book (37 Pages)
Ecommerce Abandonments
Depending upon the shopping activities abandoned, before website exit, we can have three categories of ecommerce abandonments:
#1 Checkout abandonment – starting the checkout process but not making a purchase
#2 Basket abandonment – adding products to the shopping cart but not starting the checkout process.
#3 Shopping abandonment – starting a shopping activity but not adding any product to the shopping cart.
Determining the Most Important Remarketing Audiences
Users who abandoned the checkout have highest propensity of making a purchase in subsequent sessions (if correctly retargeted) because they showed lot of interest in making a purchase.
Alternatively, users who abandoned the shopping have a low propensity of making a purchase in subsequent sessions because they didn’t show any considerable interest in making a purchase.
In retail language, these are the people who were “just looking around”.
Consequently, users who abandoned the checkout are more important retargeting audience than the users who abandoned the basket or shopping.
Following are the examples of remarketing audiences which are most likely to convert in subsequent sessions:
#1 Repeat Customers
#2 New Customers
#3 Prospects
Repeat Customers
Customers who have made two or more transactions on the website are repeat customers.
There are three categories of repeat customers:
#1 High value repeat customers
#2 Low Value repeat customers
#3 Average repeat customers
High Value Repeat Customers
Repeat customers who frequently spend more than the average order value of your website or who frequently buy high priced products are high value repeat customers.
These are the most profitable customers for your business and you should always identify them, cherish them and re-target them with irresistible offers.
Low Value Repeat Customers
Repeat customers who frequently spend less than the average order value of your website or who frequently buy low priced products are low value repeat customers.
These customers are less profitable than their corresponding high value counterparts but they are still important remarketing audience.
Average Repeat Customers
Repeat customers who do not show any pattern while making a purchase are your average repeat customers.
These customers can buy any product regardless of their price.
Any repeat customer who can’t be put into high value or low value bracket is your average repeat customer.
New Customers
Customers who have made only one transaction on the website so far are new customers.
Prospects
Prospects are those users who started any shopping activity on your website but didn’t make a purchase.
So when it comes to retargeting, “who” has abandoned the shopping activity is as important as the type of abandonment.
So repeat customers who abandoned the checkout process are more important for retargeting than new customers who abandoned the checkout process (while trying to make a second purchase on your website).
Similarly, among repeat customers, high value repeat customers are more important for retargeting than low value or average repeat customers.
And it is not just about who is more important or less important for retargeting. It is more about the type of messaging and offer you need to use for retargeting.
You can’t remarket to all users in the same way, though many marketers do that.
The ad copy and offer for retargeting repeat customers would be different than the ad copy and offer for retargeting new customers or prospects.
Similarly, the ad copy and offer for retargeting high value repeat customers would be different than the ad copy and offer for retargeting low value or average repeat customers.
This is because not all remarketing audiences are equally valuable for your business bottom line. Some audiences are more valuable than others. So you can’t have one size fit all remarketing campaigns.
For example, if you sell pet food, you don’t want to retarget cat owners with dog food ads and dog owners with cat food ads.
Similarly you don’t want to retarget people with printers’ ads when they showed interest in buying books from your website.
Therefore such type of segmentation of remarketing audiences is critical esp. if you manage a large online store with tens of thousands of products and hundreds of product categories and you need to prioritize your re-marketing efforts in order to get optimum results from your remarketing campaigns, marketing budget and testing.
Remarketing Audiences for High Value Repeat Customers
Following are the examples of remarketing audiences which are made up of high value repeat customers and which are most likely to convert in subsequent sessions if correctly re-targeted:
- High Value Checkout Abandonment
- High Value Basket Abandonment
- High Value Shopping Abandonment
High Value Checkout Abandonment
#1 High value repeat customers who abandoned the checkout of a particular product.
#2 High value repeat customers who abandoned the checkout of a particular product category.
#3 High value repeat customers who started the checkout process but abandon it.
#4 High value repeat customers who clicked on an internal / external promotion campaign but didn’t make a purchase. These customers are the people who clicked on one of your text or display ads (hosted on your website or some other website) but didn’t make a purchase.
#5 High value repeat customers who abandoned the checkout because of some website error during the checkout.
#6 High value repeat customers who searched for a product on the website but didn’t make a purchase.
#7 High value repeat customers who watched a product video on the website but didn’t make a purchase.
High Value Basket Abandonment
#1 High value repeat customers who added a particular product to the shopping cart but didn’t start the checkout process.
#2 High value repeat customers who added any product of a particular product category to the shopping cart but didn’t start the checkout process.
#3 High value repeat customers who added a product to the shopping cart but didn’t start the checkout process.
#4 High value repeat customers who clicked on an internal / external promotion campaign but didn’t start the checkout process.
#5 High value repeat customers who searched for a product on the website but didn’t start the checkout process.
#6 High value repeat customers who watched a product video on the website but didn’t start the checkout process.
High Value Shopping Abandonment
#1 High value repeat customers who viewed a particular product but didn’t add it to the shopping cart.
#2 High value repeat customers who viewed any product of a particular product category but didn’t add it to the shopping cart.
#3 High value repeat customers who viewed a product but didn’t add it to the shopping cart.
#4 High value repeat customers who viewed a particular product category page but didn’t click on any product link.
#5 High value repeat customers who viewed a product category page but didn’t click on any product link.
#6 High value repeat customers who viewed an internal/external promotion campaign but didn’t click on it.
#7 High value repeat customers who searched for a product on the website but didn’t add any product to the shopping cart.
#8 High value repeat customers who searched for a product on the website but didn’t get any search results.
#9 High value repeat customers who watched a product video on the website but didn’t add the product to the shopping cart.
#10 High value repeat customers who added a product to the wish list.
Similarly, you can have remarketing audiences for low value repeat customers.
However, remarketing audiences for average repeat customers would be slightly different.
Remarketing Audiences for Average Repeat Customers
Following are the examples of remarketing audiences which are made up of average repeat customers and which are most likely to convert in subsequent sessions if correctly re-targeted:
- Checkout Abandonment by average repeat customers
- Basket Abandonment by average repeat customers
- Shopping Abandonment by average repeat customers
- Remarketing to average repeat customers
Checkout Abandonment by Average Repeat Customers
#1 Repeat customers who abandoned the checkout of a particular high priced product.
#2 Repeat customers who abandoned the checkout of a particular low priced product.
#3 Repeat customers who abandoned the checkout of a particular product.
#4 Repeat customers who abandoned the checkout of a particular high priced product category.
#5 Repeat customers who abandoned the checkout of a particular low priced product category.
#6 Repeat customers who abandoned the checkout of a particular product category.
#7 Repeat customers who started the checkout process but abandon it.
#8 Repeat customers who clicked on an internal/external promotion campaign but didn’t make a purchase.
#9 Repeat customers who abandoned the checkout because of some website error during the checkout.
#10 Repeat customers who searched for a product on the website but didn’t make a purchase.
#11 Repeat customers who watched a product video on the website but didn’t make a purchase
Basket Abandonment by Average Repeat Customers
#1 Repeat customers who added a particular high priced product to the shopping cart but didn’t start the checkout process.
#2 Repeat customers who added a particular low priced product to the shopping cart but didn’t start the checkout process.
#3 Repeat customers who added a particular product to the shopping cart but didn’t start the checkout process.
#4 Repeat customers who added any product of a particular high priced product category to the shopping cart but didn’t start the checkout process.
#5 Repeat customers who added any product of a particular low priced product category to the shopping cart but didn’t start the checkout process.
#6 Repeat customers who added a product of a particular product category to the shopping cart but didn’t start the checkout process.
#7 Repeat customers who added a product to the shopping cart but didn’t start the checkout process.
#8 Repeat customers who clicked on an internal / external promotion campaign but didn’t start the checkout process.
#9 Repeat customers who searched for a product on the website but didn’t start the checkout process.
#10 Repeat customers who watched a product video on the website but didn’t start the checkout process.
Shopping Abandonment by Average Repeat Customers
#1 Repeat customers who viewed a particular high priced product but didn’t add it to the shopping cart.
#2 Repeat customers who viewed a particular low priced product but didn’t add it to the shopping cart.
#3 Repeat customers who viewed a particular product but didn’t add it to the shopping cart.
#4 Repeat customers who viewed any product of a particular high priced product category but didn’t add it to the shopping cart.
#5 Repeat customers who viewed any product of a particular low priced product category but didn’t add it to the shopping cart.
#6 Repeat customers who viewed any product of a particular product category but didn’t add it to the shopping cart.
#7 Repeat customers who viewed a product but didn’t add it to the shopping cart.
#8 Repeat customers who viewed a particular high priced product category but didn’t click on any product link.
#9 Repeat customers who viewed a particular low priced product category but didn’t click on any product link.
#10 Repeat customers who viewed a particular product category but didn’t click on any product link.
#11 Repeat customers who viewed a product category page but didn’t click on any product link.
#12 Repeat customers who viewed an internal /external promotion campaign but didn’t click on it.
#13 Repeat customers who searched for a product on the website but didn’t add any product to the shopping cart.
#14 Repeat customers who searched for a product on the website but didn’t get any search results.
#15 Repeat customers who watched a product video on the website but didn’t add any product to the shopping cart.
#16 Repeat customers who added a product to the wish list.
Remarketing General – Average Repeat Customers
#1 Repeat Customers in general
#2 Repeat Customers of a particular product
#3 Repeat Customers of a product category
#4 Repeat Customers who spent more than the average order value (High Value Loyal customers)
#5 Repeat Customers who spent less than the average order value (Low Value Loyal customers).
#6 Repeat Customers who viewed a particular product detail page but didn’t make a purchase
#7 Repeat Customers who viewed a particular product category page but didn’t make a purchase
#8 Repeat customers who used the coupon code during the checkout.
#9 Repeat customers who always use coupon codes during checkout.
#10 Repeat customers who have stopped making purchase from your website.
#11 Repeat customers who searched for a product on the website
Similarly, you can have remarketing audiences for new customers.
However, remarketing audiences for prospects would be slightly different.
Remarketing Audiences for Prospects
Following are the examples of remarketing audiences, made up of prospects which are most likely to convert in subsequent sessions if correctly re-targeted:
- Checkout Abandonment by prospects
- Basket Abandonment by prospects
- Shopping abandonment by prospects
Checkout Abandonment by Prospects
#1 Users who abandoned the checkout of a high priced product (high value prospects)
#2 User who abandoned the checkout of a high priced product category. (high value prospects)
#3 Users who abandoned the checkout of a low priced product (low value prospects)
#4 User who abandoned the checkout of a low priced product category. (low value prospects)
#5 Users who started the checkout process but abandon it.
#6 Users who abandoned the checkout after entering an invalid coupon code.
#7 Users who abandoned the checkout because of some website error during the checkout.
#8 Users who searched for a product on the website but didn’t make a purchase.
#9 Users who watched a product video on the website but didn’t make a purchase.
#10 Users who added a product to the wish list but never purchased it.
Basket Abandonment by Prospects
#1 Users who added a high priced product to the shopping cart but didn’t start the checkout process (high value prospects)
#2 Users who added the product of a high priced product category to the shopping cart but didn’t start the checkout process (high value prospects)
#3 Users who added a low priced product to the shopping cart but didn’t start the checkout process (low value prospects)
#4 Users who added the product of a low priced product category to the shopping cart but didn’t start the checkout process (low value prospects)
#5 Users who added items more than the average order value, to the shopping cart but didn’t start the checkout process (high value prospects).
#6 Users who added items less than the average order value, to the shopping cart but didn’t start the checkout process (low value prospects).
#7 Users who added a particular product to the shopping cart but didn’t start the checkout process
#8 Users who added a product of a particular product category to the shopping cart but didn’t start the checkout process
#9 Users who added a product to the shopping cart but didn’t start the checkout process
#10 Users who searched for a product on the website but didn’t start the checkout process
#11 Users who watched a product video on the website but didn’t start the checkout process.
Shopping Abandonment by Prospects
#1 Users who viewed a high priced product but didn’t add it to the shopping cart.
#2 Users who viewed a high priced product category but didn’t add any product to the shopping cart.
#3 Users who viewed a product higher than the average order value but didn’t add it to the shopping cart.
#4 Users who viewed a product category higher than the average order value but didn’t add any product to the shopping cart.
#5 Users who viewed a product but didn’t add it to the shopping cart.
#6 User who viewed a particular high priced product category but didn’t click on any product link.
#7 Users who viewed a particular low priced product category but didn’t click on any product link.
#8 Users who viewed a particular product category but didn’t click on any product link.
#9 Users who viewed a product category page but didn’t click on any product link.
#10 Users who clicked on an internal promotion campaign but didn’t add any product to the shopping cart.
#11 Users who searched for a product on the website but didn’t get any search results.
#12 Users who watched a product video on the website but didn’t add the product to the shopping cart.
Remarketing Audience for Non-Ecommerce Websites
In the context of non-ecommerce, Remarketing audience is a list of users who abandoned a micro-conversion (like signup, viewing a key page, watching video, listening to podcast etc) on your website.
Following are the examples of remarketing audiences for non-ecommerce websites, which are most likely to convert in subsequent sessions if correctly re-targeted:
#1 Users who viewed a internal promotion campaign but did not complete a micro conversion (like submitting a lead)
#2 Users who viewed a internal promotion campaign but did not click on it.
#3 Users who clicked on a internal promotion campaign but did not complete a micro conversion.
#4 User who searched the website but did not complete a micro conversion.
#5 User who viewed a campaign video but did not complete a micro conversion.
#6 Users who abandoned the lead generation form.
#7 Users who saw one of the key pages on your website like ‘contact us’ page, ‘Make donation’ page etc but did not complete micro conversion (like making a phone call).
Low Value Remarketing Audiences
There is one more category of remarketing audience which is made up of a list of users who visited your website but didn’t start any shopping activity on your website (in case of ecommerce website) or who didn’t complete any micro conversion (in case of non-ecommerce website)
These are low value remarketing audiences as they didn’t show any interest in completing a goal conversion on your website. They are low value because their likelihood of converting is close to zero.
Just because someone visits your website once, does not always automatically qualify him/her to become a part of your remarketing audience.
You should consider re-targeting these audiences only when you overall website traffic is too low.
Also, remember that some of these users may not be your target audience at all (accidentally visited your website because of poor targeting) or may not even be humans (bots traffic)
Creating Remarketing Audiences in Google Analytics
There are 4 methods you can use to create remarketing audiences in Google Analytics:
- Method-1 (Preconfigured Audiences)
- Method-2 (Google Analytics Solution Gallery)
- Method-3 ( Google Analytics advanced segment)
- Method-4 (creating brand new remarketing audience)
Method-1 – Preconfigured Audiences
You can use one of the preconfigured audiences available in Google Analytics: Admin section > Property > Audience Definitions > Audiences
#1 Smart List
A smart list is a list of users who are most likely to convert in subsequent sessions. This list is managed by Google and is automatically updated (i.e. users are automatically added or removed from the list) on the basis of some machine learning algorithm.
Google generates smart list on the basis of the conversion data of your website or similar websites. If your website generates at least 500 orders every month and at least 10,000 page views each day then your smart list is generated on the basis of your website conversion data. Otherwise the smart list is generated on the basis of other similar websites’ conversion data.
#2 All users – all visitors (both new and returning visitors) of your website.
#3 New Users – users who triggered only one session/visit on your website.
#4 Returning users – users who triggered at least 2 sessions/visits on your website.
Other pre-configured audiences are self-explanatory.
You can learn more about creating remarketing audiences from this article: https://support.google.com/analytics/answer/2611404?hl=en
Method-2 – Google Analytics Solution Gallery
You can import remarketing audiences from Google Analytics Solution Gallery:
Method-3 – Google Analytics Advanced Segment
You can use any Google Analytics advanced segment (whether system, custom or enhanced ecommerce segment) to build your remarketing audience:
You can learn more about creating remarketing audiences from advanced segment from this article: https://support.google.com/analytics/answer/6015314?hl=en#create
Method-4 – Creating Brand New Remarketing Audience
You can create a brand new remarketing audience from scratch by clicking on the ‘Create New’ button:
Note: You can create up to 2000 remarketing audiences per GA account.
Other Articles on Remarketing in Google Analytics
#1 Guide to Dynamic remarketing in Google Analytics & Adwords – Learn to implement Dynamic re-marketing campaigns in Google Analytics and Google Adwords. Learn about dynamic attributes and dynamic remarketing audiences.
#2 Using Enhanced E-Commerce segments for Remarketing in Google Analytics – Learn to use Enhanced E-Commerce segments for creating Remarketing audience in Google Analytics.
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