Behavior and Interest Targeting

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What is its special feature? Smart algorithms of Yandex and Google can determine the user's gender in contextual advertising based on the user's behavior. Google also has an advertising identifier associated with the client's mobile phone. It stores information about the sites and applications used to determine the demographic category.

Social networks know the user's gender and age because they specify this when registering. Therefore, it is easier for their algorithms to segment the audience.

Who is it suitable for? Targeting by gender and age is suitable for companies with clients of a certain gender and age, for example, cosmetology, fashion boutiques.

Targeting by device type
What is it for? To broadcast ads to people using certain devices, browsers, and operating systems. So, if a site takes a long time to load on Android, the visitor will most likely close the tab, and the company will lose a client. In addition, the business will waste its advertising budget. To prevent this from happening, it is advisable to remove the Android audience from the advertising campaign.

What makes it special? Advertising networks get malaysia telegram data information about devices through User agent data collected by each browser, and then pass it on to advertisers.

Social networks work more simply: services have information on which devices their applications are used.

Who is it for? Companies targeting a narrow audience with specific gadgets. For example, thanks to device type targeting, the Apple brand can show ads only to iOS users.

Why is it needed? Behavior and interest targeting segments users into groups that are interested in a specific topic. For example, it allows you to select car enthusiasts and show them thematic events.

What is its special feature? Robots segment visitors into groups based on their interaction with the content of sites or publics. Thus, the "Crypta" algorithm works in Yandex Direct. It analyzes user behavior by various parameters, including search queries, viewed sites, and time spent online.

Social networks analyze visitors' interactions with content and ads and collect information automatically.