Editing Ad Targeting

==Overview==
Ad targeting is widely used in digital marketing to maximize the return on ad spend (ROAS) and improve conversion rates. By focusing on specific demographics or user behaviors, businesses can make their ads more relevant and appealing, reducing wasted impressions and enhancing customer experience. Ad targeting utilizes data gathered from various sources, including customer profiles, browsing history, purchase history, and social media activity.
==Usage Types==
===Demographic Targeting===
Demographic targeting involves segmenting the audience based on characteristics such as age, gender, income, education level, marital status, and more. This type of targeting is often used in campaigns aimed at a broad audience, such as national or global campaigns.
===Behavioral Targeting===
Behavioral targeting leverages the user's online behavior, including browsing history, clicks, purchase history, and other actions, to deliver personalized ads. This type of targeting aims to predict future behavior and serve ads relevant to the user's potential interests.
===Geo-Targeting===
Geo-targeting, also known as local or location-based targeting, serves ads based on the user's geographical location. It can be as broad as country-level or as specific as targeting a small neighborhood.
===Contextual Targeting===
Contextual targeting involves displaying ads that are relevant to the content of the web page that the user is viewing. For instance, displaying sports equipment ads on a sports news website.
===Psychographic Targeting===
Psychographic targeting segments the audience based on interests, attitudes, values, lifestyle, and personality traits. It often complements demographic and behavioral targeting to build a more comprehensive profile
*[[Programmatic Advertising|Advertising]]
*[[Remarketing]]
==References==
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