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Basics

Targeting

Targeting is choosing which people, contexts, places, devices or times should see an ad, so that the budget is spent on the audiences most likely to respond.

The short answer, from the AdTech Sumo glossary

Targeting is the "who, where and when" of a campaign. Instead of showing an ad to everyone, advertisers narrow delivery using rules. The main families are audience targeting (who the person is or has done: Behavioral targeting, segments, retargeting, lookalikes), contextual targeting (what content they are viewing), geotargeting (where they are), and technical targeting (device, browser, operating system, connection, time of day).

Targeting data comes from many places: First-party data from the advertiser's customers, publisher data such as seller-defined audiences, third-party data from brokers, or signals in the bid request itself. Privacy laws such as GDPR and platform changes such as App Tracking Transparency limit what can be used without consent.

More targeting is not always better. Each extra filter reduces reach and raises price, and many "audience" segments are less accurate than they look. Studies of incrementality often find that broad reach with good creative beats hyper-narrow targeting.

Think of it like this

Targeting is like choosing which neighbourhoods get your flyers: sending them to streets near your shop is smarter than printing a million and scattering them from a plane.

An example

A Japanese airline targets people in Singapore and Sydney, on travel and business sites, aged 25–54, during the evening, excluding people who already booked.

Related terms