Understanding site search tracking in Google Analytics
Introduction to Site Search (or Internal Site Search)
Site search is a functionality provided by a website in the form of a search box through which website visitors search the website for information or products.
If your website provides site search functionality then you should set up ‘site search tracking’ in Google Analytics.
Introduction to Site Search Tracking in Google Analytics
Through ‘site search tracking’ in Google Analytics you can determine:
- The web pages from which visitors started their search on your website (Start pages)
- The search terms used by website visitors to find information on your website.
- The search categories used by website visitors
- The web pages visitors saw after clicking on one of the search results on the search result page (i.e. Search Destination pages)
- How effective the search results were in driving user engagement, sales and conversions.
With this insight, you can determine missing contents on your website i.e. the contents which should be there (a lot of visitors search for it) but are not there.
By analyzing site search reports you can improve the quality of search results for key phrases and develop a better user experience. You can also identify new keywords for your search marketing campaigns (SEO and PPC).
You can create site search funnels in Google Analytics and use it to understand the users’ intent and optimize your website for traffic and conversions.
Get the E-book (52 Pages)
Get the E-Book (37 Pages)
Introduction to search query and category parameters
A query string is the part of the URL which comes after the ‘?’ character. For example in the URL:
https://www.optimizesmart.com/?s=enhanced+ecommerce
The query string is: s=enhanced+ecommerce
A query string is made up of one or more ‘key=value’ pairs. For example in the query string: s=enhanced+ecommerce
The ‘key’ is ‘s’ and the ‘value’ is ‘enhanced+ecommerce’
The key which represents a search term is called the search query parameter.
The key which represents a search category is called the search category parameter.
For example, consider the following URL:
https://www.optimizesmart.com/?s=enhanced+ecommerce&cat=ecommerce
‘s’ is the search query parameter.
‘cat’ is the search category parameter.
A search query parameter can be any combination of characters. Following are examples of valid query parameters:
- keywords
- term
- q
- s etc
Similarly, a search category parameter can be any combination of characters.
If your website has got a site search box then perform a search on your website. Now analyze the URL of the search result page.
If your website site search functionality uses a search query parameter then most likely it will append the query parameter to the search URL.
Similarly, if your website site search functionality uses a search category parameter then most likely it will append the category parameter to the search URL.
However, these days more and more websites are being built whose internal site search does not use query or category parameters. The search term is either present in the URL (but without query/category parameter) or it is not present at all.
Following is an example of a search page URL which contains the search term in the URL but without the query parameter:
https://www.optimizesmart.com/search/enhanced+ecommerce
Following is an example of a search page URL which contains both the search term and the search category in the URL but without query and category parameters:
https://www.abc.com/search#shirts&categories_02
Following is an example of a search page URL which does not contain: search term, search query/category parameter in the URL:
https://www.optimizesmart.com/search/
Ask your developer, if you are not sure what your query and category parameters are.
Introduction to GET based search engine
An internal search engine like the one used on your website can use GET or POST method to send search information from a user’s web browser to your web server.
If your internal site search engine uses the GET method to send the search information from the user’s web browser to your web server then you are using the GET based search engine.
In the case of GET based search engine, the search information is sent from a user’s web browser to your web server via the URL. Because of this reason, the search term and search query/category parameters appear in the search page URL.
There are no security implications of using the GET method for internal site search unless you are sending sensitive data (like usernames, passwords, etc) along with the search information.
If you are using internal site search on your website, it is wise to use the GET method because of the following reasons:
- GET requests can be bookmarked. So a user can bookmark a search result page along with the search query/ category parameters.
- GET requests can be cached and they remain in the browser history. Thus making it easy for your website users to return to the last search result page on your website.
- You can use a search result page as a landing page for your PPC campaigns. In this way you can create highly targeted campaigns like: ‘Men polo shirt white’
- You can easily set up site search tracking for a GET based search engine in Google Analytics.
Related Article: Tracking Site Search for GET-Based Search Engines in Google Analytics
Introduction to POST based search engine
If your internal site search engine uses the POST method to send the search information from the user’s web browser to your web server then you are using the POST based search engine.
In the case of POST based search engine, the search information is sent from the user’s web browser to your web server within the body of the HTTP request and not via the URL. Because of this reason, the search term and search query/category parameters do not appear in the search page URL.
POST method is generally used when you want to send sensitive data from the user’s web browser to your web server. For example, if you want to send the submitted form data to your web server then you use the POST method (and not the GET method)
If you are using internal site search on your website, it is wise not to use the POST method because of the following reasons:
- POST requests can not be bookmarked. So a user can not bookmark a search result page along with the search/query parameters.
- POST requests can not be cached and they do not remain in the browser history. Thus making it impossible for your website users to return to the last search result page on your website.
- You can not use a search result page as a landing page for your PPC campaigns. So you won’t be able to create highly targeted PPC campaigns.
- You can not easily set up site search tracking for a POST based search engine.
- Search information (search query terms, search categories) is hardly classed as sensitive information, so a POST based search engine is not really required.
The only real advantage of using a POST based search engine is that POST requests have no restriction on the size of data you can send from the user’s web browser to your web server.
So if your query string is crazy long with a lot of parameters then it makes sense to use the POST based search engine.
However, instead of using crazy long query strings, use clean and short URLs. Not only are they SEO and user-friendly, they will also let you use the GET based search engine on your website.
Related article: Setting Up Site Search Tracking for POST based search engines in Google Analytics
Other Articles you will find useful:
- Creating and using Site Search Funnel in Google Analytics
- Tracking Site Search without Query Parameter in Google Tag Manager
Other Articles on Specialised Tracking in Google Analytics
- Google Analytics Recurring Revenue and Subscriptions Tracking Guide
- How to track the impact of cookie consent on website traffic in Google Analytics
- Phone Call Tracking in Google Analytics and Beyond
- Scroll Tracking via Scroll Depth Trigger in Google Tag Manager
- Video Tracking via YouTube Video Trigger In Google Tag Manager
- Calculated Metrics in Google Analytics – Complete Guide
- The one thing that you don’t know about PayPal.com and the referral exclusion list
- Introduction to Postbacks in Google Analytics
- Creating Content Group in Google Analytics via tracking code using gtag.js
- Tracking Site Search without Query Parameter in Google Tag Manager
- Setting Up Site Search Tracking for POST based search engines in Google Analytics
- Tracking Site Search for GET-Based Search Engines in Google Analytics
- Understanding site search tracking in Google Analytics
- Tracking Virtual Pageviews in Google Tag Manager – Complete Guide
- Creating and using Site Search Funnel in Google Analytics
- Learn to Setup Facebook Pixel Tracking via Google Tag Manager
- How to use Keyword Hero to reveal Not Provided keywords in Google Analytics
- Guide to Event Tracking via Google Tag Manager
- Learn to track Qualified and Won leads in Google Analytics
- Creating your own Google Analytics Tag Auditing System
- Using multiple Google Analytics tracking codes on web pages
- Guide to Offline Conversion Tracking in Google Analytics
- Google Analytics and YouTube Integration Guide
- Complete Guide to Google Analytics for Facebook
- Tracking true referrals in Google Analytics when using PayPal and other payment gateways
- Virtual pageviews in Google Analytics – Complete Guide
- YouTube Video tracking via Google Tag Manager
- Implementing E-Commerce Tracking via Google Tag Manager
- Event Tracking in Google Analytics – Complete Guide
- E-Commerce Tracking in Google Analytics – Complete Guide
- Google Analytics Cross Domain Tracking Explained Like Never Before
- Google Analytics Social Tracking – Twitter, Facebook, Google Plus and LinkedIn
- Setting up & Tracking AMP Pages in Google Analytics
- Setting up Sales Funnel across websites in Google Analytics
- Using Data Visualization to analyze the SEO Performance
- Tracking offline conversions in Google Adwords
- How to Correctly Measure Conversion Date & Time in Google Analytics
- Tracking Twitter and Linkedin Social Interactions in Google Analytics
- Implementing Scroll Tracking via Google Tag Manager
- Phone Call Tracking and ROI calculations – Champion’s Guide
- Google Analytics Cross Domain Tracking (ga.js)
- Open Graph Protocol for Facebook Explained with Examples
- How to Exclude URL Query Parameters in Google Analytics?
- Understanding Google Analytics Default Page Setting
- Implementing rollup reporting 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
Introduction to Site Search (or Internal Site Search)
Site search is a functionality provided by a website in the form of a search box through which website visitors search the website for information or products.
If your website provides site search functionality then you should set up ‘site search tracking’ in Google Analytics.
Introduction to Site Search Tracking in Google Analytics
Through ‘site search tracking’ in Google Analytics you can determine:
- The web pages from which visitors started their search on your website (Start pages)
- The search terms used by website visitors to find information on your website.
- The search categories used by website visitors
- The web pages visitors saw after clicking on one of the search results on the search result page (i.e. Search Destination pages)
- How effective the search results were in driving user engagement, sales and conversions.
With this insight, you can determine missing contents on your website i.e. the contents which should be there (a lot of visitors search for it) but are not there.
By analyzing site search reports you can improve the quality of search results for key phrases and develop a better user experience. You can also identify new keywords for your search marketing campaigns (SEO and PPC).
You can create site search funnels in Google Analytics and use it to understand the users’ intent and optimize your website for traffic and conversions.
Get the E-book (52 Pages)
Get the E-Book (37 Pages)
Introduction to search query and category parameters
A query string is the part of the URL which comes after the ‘?’ character. For example in the URL:
https://www.optimizesmart.com/?s=enhanced+ecommerce
The query string is: s=enhanced+ecommerce
A query string is made up of one or more ‘key=value’ pairs. For example in the query string: s=enhanced+ecommerce
The ‘key’ is ‘s’ and the ‘value’ is ‘enhanced+ecommerce’
The key which represents a search term is called the search query parameter.
The key which represents a search category is called the search category parameter.
For example, consider the following URL:
https://www.optimizesmart.com/?s=enhanced+ecommerce&cat=ecommerce
‘s’ is the search query parameter.
‘cat’ is the search category parameter.
A search query parameter can be any combination of characters. Following are examples of valid query parameters:
- keywords
- term
- q
- s etc
Similarly, a search category parameter can be any combination of characters.
If your website has got a site search box then perform a search on your website. Now analyze the URL of the search result page.
If your website site search functionality uses a search query parameter then most likely it will append the query parameter to the search URL.
Similarly, if your website site search functionality uses a search category parameter then most likely it will append the category parameter to the search URL.
However, these days more and more websites are being built whose internal site search does not use query or category parameters. The search term is either present in the URL (but without query/category parameter) or it is not present at all.
Following is an example of a search page URL which contains the search term in the URL but without the query parameter:
https://www.optimizesmart.com/search/enhanced+ecommerce
Following is an example of a search page URL which contains both the search term and the search category in the URL but without query and category parameters:
https://www.abc.com/search#shirts&categories_02
Following is an example of a search page URL which does not contain: search term, search query/category parameter in the URL:
https://www.optimizesmart.com/search/
Ask your developer, if you are not sure what your query and category parameters are.
Introduction to GET based search engine
An internal search engine like the one used on your website can use GET or POST method to send search information from a user’s web browser to your web server.
If your internal site search engine uses the GET method to send the search information from the user’s web browser to your web server then you are using the GET based search engine.
In the case of GET based search engine, the search information is sent from a user’s web browser to your web server via the URL. Because of this reason, the search term and search query/category parameters appear in the search page URL.
There are no security implications of using the GET method for internal site search unless you are sending sensitive data (like usernames, passwords, etc) along with the search information.
If you are using internal site search on your website, it is wise to use the GET method because of the following reasons:
- GET requests can be bookmarked. So a user can bookmark a search result page along with the search query/ category parameters.
- GET requests can be cached and they remain in the browser history. Thus making it easy for your website users to return to the last search result page on your website.
- You can use a search result page as a landing page for your PPC campaigns. In this way you can create highly targeted campaigns like: ‘Men polo shirt white’
- You can easily set up site search tracking for a GET based search engine in Google Analytics.
Related Article: Tracking Site Search for GET-Based Search Engines in Google Analytics
Introduction to POST based search engine
If your internal site search engine uses the POST method to send the search information from the user’s web browser to your web server then you are using the POST based search engine.
In the case of POST based search engine, the search information is sent from the user’s web browser to your web server within the body of the HTTP request and not via the URL. Because of this reason, the search term and search query/category parameters do not appear in the search page URL.
POST method is generally used when you want to send sensitive data from the user’s web browser to your web server. For example, if you want to send the submitted form data to your web server then you use the POST method (and not the GET method)
If you are using internal site search on your website, it is wise not to use the POST method because of the following reasons:
- POST requests can not be bookmarked. So a user can not bookmark a search result page along with the search/query parameters.
- POST requests can not be cached and they do not remain in the browser history. Thus making it impossible for your website users to return to the last search result page on your website.
- You can not use a search result page as a landing page for your PPC campaigns. So you won’t be able to create highly targeted PPC campaigns.
- You can not easily set up site search tracking for a POST based search engine.
- Search information (search query terms, search categories) is hardly classed as sensitive information, so a POST based search engine is not really required.
The only real advantage of using a POST based search engine is that POST requests have no restriction on the size of data you can send from the user’s web browser to your web server.
So if your query string is crazy long with a lot of parameters then it makes sense to use the POST based search engine.
However, instead of using crazy long query strings, use clean and short URLs. Not only are they SEO and user-friendly, they will also let you use the GET based search engine on your website.
Related article: Setting Up Site Search Tracking for POST based search engines in Google Analytics
Other Articles you will find useful:
- Creating and using Site Search Funnel in Google Analytics
- Tracking Site Search without Query Parameter in Google Tag Manager
Other Articles on Specialised Tracking in Google Analytics
- Google Analytics Recurring Revenue and Subscriptions Tracking Guide
- How to track the impact of cookie consent on website traffic in Google Analytics
- Phone Call Tracking in Google Analytics and Beyond
- Scroll Tracking via Scroll Depth Trigger in Google Tag Manager
- Video Tracking via YouTube Video Trigger In Google Tag Manager
- Calculated Metrics in Google Analytics – Complete Guide
- The one thing that you don’t know about PayPal.com and the referral exclusion list
- Introduction to Postbacks in Google Analytics
- Creating Content Group in Google Analytics via tracking code using gtag.js
- Tracking Site Search without Query Parameter in Google Tag Manager
- Setting Up Site Search Tracking for POST based search engines in Google Analytics
- Tracking Site Search for GET-Based Search Engines in Google Analytics
- Understanding site search tracking in Google Analytics
- Tracking Virtual Pageviews in Google Tag Manager – Complete Guide
- Creating and using Site Search Funnel in Google Analytics
- Learn to Setup Facebook Pixel Tracking via Google Tag Manager
- How to use Keyword Hero to reveal Not Provided keywords in Google Analytics
- Guide to Event Tracking via Google Tag Manager
- Learn to track Qualified and Won leads in Google Analytics
- Creating your own Google Analytics Tag Auditing System
- Using multiple Google Analytics tracking codes on web pages
- Guide to Offline Conversion Tracking in Google Analytics
- Google Analytics and YouTube Integration Guide
- Complete Guide to Google Analytics for Facebook
- Tracking true referrals in Google Analytics when using PayPal and other payment gateways
- Virtual pageviews in Google Analytics – Complete Guide
- YouTube Video tracking via Google Tag Manager
- Implementing E-Commerce Tracking via Google Tag Manager
- Event Tracking in Google Analytics – Complete Guide
- E-Commerce Tracking in Google Analytics – Complete Guide
- Google Analytics Cross Domain Tracking Explained Like Never Before
- Google Analytics Social Tracking – Twitter, Facebook, Google Plus and LinkedIn
- Setting up & Tracking AMP Pages in Google Analytics
- Setting up Sales Funnel across websites in Google Analytics
- Using Data Visualization to analyze the SEO Performance
- Tracking offline conversions in Google Adwords
- How to Correctly Measure Conversion Date & Time in Google Analytics
- Tracking Twitter and Linkedin Social Interactions in Google Analytics
- Implementing Scroll Tracking via Google Tag Manager
- Phone Call Tracking and ROI calculations – Champion’s Guide
- Google Analytics Cross Domain Tracking (ga.js)
- Open Graph Protocol for Facebook Explained with Examples
- How to Exclude URL Query Parameters in Google Analytics?
- Understanding Google Analytics Default Page Setting
- Implementing rollup reporting 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