Segmentation in Google Analytics web analytics system
Posted: Thu Jan 30, 2025 10:03 am
Google Analytics is a popular web analytics system that allows you to collect data about website users, track their behavior, traffic sources, and also divide the audience to obtain more accurate data about their interests and actions, which helps to more accurately understand the needs of different user groups, optimize marketing campaigns and increase conversion rates.
Google Analytics is a popular web analytics system that allows you to collect data about website users, track their behavior, traffic sources, and also divide the audience to obtain more accurate data about their interests and actions, which helps to more accurately understand the needs of different user groups, optimize marketing campaigns and increase conversion rates.
Why Segment Customers in Google Analytics?
Marketing personalization: Create advertising campaigns lithuania email list for different user groups, which allows you to improve customer interactions.
Performance Analysis: Evaluate the behavior of different user groups to help optimize your website and marketing strategy.
Increase Conversions: Allows you to set up targeted offers, improve customer retention and increase sales.
How to Segment Customers in Google Analytics?
1. Collecting customer data
Google Analytics collects the following data:
Demographic data: Age, gender, geography (country, city).
Site behavior: Pages visited by the user, time spent on the site, interaction with content.
Traffic sources: Where the user came from - via a search query, via advertising, via social networks, direct traffic, etc.
Devices: From which device (mobile phone, desktop, tablet) the user logged in.
Conversions: Important actions on a website, such as making a purchase, filling out a form, watching a video.
2. Selection of criteria
There are different criteria that can be used for segmentation in Google Analytics:
Behavior: For example, users who viewed specific pages or performed specific actions.
Traffic sources: By how visitors got to the site (search engine, social networks, advertising, etc.).
Demographic characteristics: By age, gender, interests of users.
Technological characteristics: Device, browser, operating system.
Geographic data: Country, region, city.
Conversions: By users who have completed targeted actions such as purchasing, registering, or downloading content.
Google Analytics is a popular web analytics system that allows you to collect data about website users, track their behavior, traffic sources, and also divide the audience to obtain more accurate data about their interests and actions, which helps to more accurately understand the needs of different user groups, optimize marketing campaigns and increase conversion rates.
Why Segment Customers in Google Analytics?
Marketing personalization: Create advertising campaigns lithuania email list for different user groups, which allows you to improve customer interactions.
Performance Analysis: Evaluate the behavior of different user groups to help optimize your website and marketing strategy.
Increase Conversions: Allows you to set up targeted offers, improve customer retention and increase sales.
How to Segment Customers in Google Analytics?
1. Collecting customer data
Google Analytics collects the following data:
Demographic data: Age, gender, geography (country, city).
Site behavior: Pages visited by the user, time spent on the site, interaction with content.
Traffic sources: Where the user came from - via a search query, via advertising, via social networks, direct traffic, etc.
Devices: From which device (mobile phone, desktop, tablet) the user logged in.
Conversions: Important actions on a website, such as making a purchase, filling out a form, watching a video.
2. Selection of criteria
There are different criteria that can be used for segmentation in Google Analytics:
Behavior: For example, users who viewed specific pages or performed specific actions.
Traffic sources: By how visitors got to the site (search engine, social networks, advertising, etc.).
Demographic characteristics: By age, gender, interests of users.
Technological characteristics: Device, browser, operating system.
Geographic data: Country, region, city.
Conversions: By users who have completed targeted actions such as purchasing, registering, or downloading content.