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Audience Targeting

Definition and Example

Audience Targeting is the use of audience data, interests, demographics, remarketing, or professional attributes to influence ad delivery.

Audience Targeting is the use of audience data, interests, demographics, remarketing, or professional attributes to influence ad delivery. In Microsoft Advertising and Bing Ads, this term gives marketers, designers, developers, and business owners a precise way to talk about work that affects visibility, user experience, measurement, and revenue. A strong understanding of Audience Targeting prevents teams from optimizing isolated tasks without knowing what business result they are supposed to support. The concept should always be applied with context: who the audience is, what problem they have, what action matters, how success will be measured, and how the work connects to the broader customer journey.

Example of Audience Targeting

In a Microsoft Advertising account, audience targeting might be used to reach searchers on Bing and Microsoft partner properties while tracking leads with UET. For example, a B2B service provider could layer audience targeting, location targeting, and conversion goals to improve lead quality.

Why Audience Targeting matters

It matters because Microsoft Advertising can reach valuable search and professional audiences that are often overlooked. Clear measurement and audience structure help the channel complement Google Ads rather than simply duplicate it.

Related terms

LinkedIn profile targeting, remarketing list, in-market audience, conversion tracking, keyword planner, conversion goal

Frequently Asked Question

What does Audience Targeting mean?

Audience Targeting means the use of audience data, interests, demographics, remarketing, or professional attributes to influence ad delivery. It matters in Microsoft Advertising and Bing Ads because it helps teams make clearer decisions, measure the right outcomes, and connect marketing work to business goals.