{"id":9015,"date":"2017-07-31T09:00:02","date_gmt":"2017-07-31T14:00:02","guid":{"rendered":"https:\/\/rocketclicks.com\/?p=9015"},"modified":"2017-07-31T09:00:02","modified_gmt":"2017-07-31T14:00:02","slug":"creating-great-remarketing-audiences-recency","status":"publish","type":"post","link":"https:\/\/rocketclicks.com\/client-education\/creating-great-remarketing-audiences-recency\/","title":{"rendered":"The 4 Principles of Creating Great Remarketing Audiences in Google Analytics – Part One: Recency"},"content":{"rendered":"

The opportunities for remarketing in the Google ecosystem have grown immensely in the last couple of years.<\/p>\n

Creating audience lists in Google Analytics is great because it goes beyond the basic targeting used in the past, in which users were segmented into groups based on which URLs of your website they had previously visited. Now, advertisers can generate higher performing audiences by accessing more post-click information and layering these in to develop more precise lists.<\/p>\n

In contrast to other blogs on the topic, this article will examine the four principles that can guide the creation of any remarketing list, especially those built-in Google Analytics. If you master these principles, you can apply them to most any application, recognizing that the tactics or specific combinations of targeting layers may change dependent on context and goals.<\/p>\n

The Four Principles<\/strong><\/h3>\n

The nature of the data collected on users in Google Analytics allows us to segment them in many different combinations, but the segments themselves are finite and can be categorized into four conceptual areas:\u00a0<\/p>\n