When you create/edit a goal in GA, you get the option to choose a match type for your goal.
Google Analytics provides three different match types:
Equals to
Begins with
Regular Expression
The ‘Equals to’ goal match type
The ‘equals to’ denotes exact match.
Let us understand match types by tracking the number of orders placed on a website as a destination goal.
Follow the steps below:
Step-1: Find the URL of the ‘order confirmation’ page which is shown to a user when he makes a purchase on your website. Your developer can share the URL of the ‘order confirmation’ page.
Step-2: Copy the request URI of the ‘order confirmation’ page. The request URI is that part of the URL that comes after the domain name.
So for example, if the URL of the ‘order confirmation’ page is: https://www.optimizesmart.com/order-confirmed/
Then request URI would be: /order-confirmed/
Step-3: In your Google Analytics account navigate to the reporting view for which you want to set up the destination goal.
Step-4: Navigate to the ‘admin’ area and then click on ‘Goals’ link in the ‘view’ column:
Step-5: Click on the ‘+New Goal’ button:
Step-6: Select ‘Place an order’ goal template:
Step-7: Click on the ‘continue’ button:
Step-8: You should now see the ‘Goal Description’. You don’t need to change anything here. Just click on the ‘Continue’ button again:
Step-9: Paste the URI (and not the URL) of the order confirmation page in the text box next to ‘equals to’:
Here ‘Equals to‘ is a match type:
A match type define how Google Analytics identifies a URL (visited by a user) for a goal and/or a funnel step.
The URI provided for a goal is called the Goal URI.
For example: /order-confirmed/ is a goal URI:
The URI provided for a funnel step is called the funnel URI:
Google Analytics identify visit to the Goal URL page by matching the Goal URL with its corresponding request URI. If there is a match then it means the Goal URL page was visited.
Google Analytics identify visit to a Funnel page by matching the Funnel URL with its corresponding request URI. If there is a match then it means the Funnel page (or funnel step) was visited.
Let us suppose a user visited the home page: https://www.optimizesmart.com/
Now the request URI reported for this page (in the GA reports) would be: /
Google Analytics will match this request URI with our funnel URIs and goal URI using the ‘Equals to’ match type:
Since the request URI / does not exactly match any of the funnel URIs (/cart/ or /checkout/), GA will not record and report on any unique pageviews for the funnel steps.
Now Google Analytics will match the request URI (/) with the Goal URI (/order-confirmed/) using the ‘equal to’ match type.
Again there is no exact match. So GA will not record and report on any unique pageviews for the goal page. In other words, GA will not record and report on any order placed on the website.
If you navigate to the Funnel Visualization report (under ‘Conversions‘ > ‘Goals‘) and select ‘Place an order’ from the ‘Goal Option’ drop-down menu:
You should see no unique pageviews recorded either for funnel pages or goal pages:
Visit to the product page
Let us suppose the same user later visited the product page: https://www.optimizesmart.com/product/
Now the request URI reported for this page (in the GA reports) would be: /product/
Now Google Analytics will match this request URI (/product/) with one of the funnel URIs (/cart/ or /checkout/) using the ‘Equals to’ match type.
Since there is no exact match, GA will not record and report on any unique pageviews for the funnel steps in the funnel visualization report for the goal ‘Place an order’:
Now Google Analytics will match the request URI (/product/) with the Goal URI (/order-confirmed/) using the ‘Equals to’ match type.
Again there is no exact match. So GA will not record and report on any order placed on the website:
Visit to the shopping cart page
Let us suppose the same user later visited the shopping cart page: https://www.optimizesmart.com/cart/
Now the request URI reported for this page (in the GA reports) would be: /cart/
Now Google Analytics will match this request URI with one of the funnel URIs (/cart/ or /checkout/) using the ‘Equals to’ match type.
Since now there is an exact match with one of the funnel URIs, GA will record and report on one unique pageview for /cart/ funnel step in the funnel visualization report:
Since the request URI did not exactly match the funnel step /checkout/ no unique pageview for this funnel step would be recorded and reported in the Funnel visualization report.
Now Google Analytics will match the request URI (/cart/) with the Goal URI (/order-confirmed/) using the ‘Equals to’ match type.
Since there is no exact match, GA will not record and report on any order placed on the website:
Let us suppose the same user later visited the checkout page: https://www.optimizesmart.com/checkout/
Now the request URI reported for this page (in the GA reports) would be: /checkout/
Now Google Analytics will match this request URI with one of the funnel URIs (/cart/ or /checkout/) using the ‘Equals to’ match type.
Since now there is an exact match with one of the funnel URIs, GA will record and report one unique pageview for the /checkout/ funnel step in the funnel visualization report:
Now Google Analytics will match the request URI (/checkout/) with the Goal URI (/order-confirmed/) using the ‘Equals to’ match type.
Since there is no exact match, GA will not record and report on any order placed on the website:
Visit to the order confirmation page
Let us suppose the same user later placed an order by visiting the order confirmation page: https://www.optimizesmart.com/order-confirmed/
The request URI reported for this page (in the GA reports) would be: /order-confirmed/
Now Google Analytics will match this request URI with one of the funnel URIs (/cart/ or /checkout/) using the ‘Equals to’ match type.
Since there is no exact match with any of the funnel URIs, GA will not record and report on any new unique pageviews for the funnel steps in the funnel visualization report:
Now Google Analytics will match the request URI (/order-confirmed/) with the Goal URI (/order-confirmed/) using the ‘Equals to’ match type.
Since there is an exact match, GA will now record and report on an order placed on the website:
‘Begins with’ and ‘Regular Expressions’ are other examples of match types:
#Begins with’ goal match type in Google Analytics
Use the ‘Begins with’ match type, if only the first part of your Goal URI and/or Funnel URI needs to match the corresponding request URIs.
Example-1
Let us suppose the following are the different URLs of the ‘order confirmation’ page:
Now here if you use the ‘equals to’ match type then the goal URI would match the corresponding request URI but the Funnel URI /checkout/ won’t match any of its corresponding request URIs:
So you should select a match type which allows both Goal URI and Funnel URIs to match with their corresponding request URIs.
The match type that you select for your goal URI also applies to all Funnel URIs. Always remember that.
The ‘Regular Expressions’ match type is the best match type, as it provides the most flexibility when it comes to matching Goal URI and/or Funnel URIs with their corresponding request URIs.
"How to use Digital Analytics to generate floods of new Sales and Customers without spending years figuring everything out on your own."
Here’s what we’re going to cover in this training…
#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 BeyondSECOND EDITION OUT NOW!
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.
About the Author
Himanshu Sharma
Founder, OptimizeSmart.com
Over 15 years of experience in digital analytics and marketing
Author of four best-selling books on digital analytics and conversion optimization
Nominated for Digital Analytics Association Awards for Excellence
Runs one of the most popular blogs in the world on digital analytics
Consultant to countless small and big businesses over the decade
Learn and Master Google Analytics 4 (GA4) - 126 pages ebook
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept All”, you consent to the use of all the cookies.
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
Cookie
Duration
Description
cookielawinfo-checkbox-analytics
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional
11 months
The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy
11 months
The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.