Audience Targeting
Also known as: Audience Segmentation, Audience Targeting
Audience targeting reaches people based on who they are and what they do rather than only the keyword they typed. Segments include in-market audiences actively researching a category, affinity audiences with long-term interests, custom audiences built from URLs and search behavior, and first-party lists uploaded by the advertiser.
Key Takeaways
- Audience targeting reaches people based on who they are and what they do, not only the keyword typed.
- In-market audiences are actively researching a category, while affinity audiences have longer-term interests.
- Custom audiences can be built from URLs and search behavior relevant to your business.
- First-party lists are audiences the advertiser uploads, such as existing customers or subscribers.
- Observation mode gathers audience performance data without narrowing reach, unlike targeting mode.
How It Works
Ad platforms group users into segments based on signals like browsing behavior, purchase intent, and interests. Layering these audiences onto a campaign lets the system favor people more likely to convert, and it feeds richer signals into automated bidding.
There are two ways to apply an audience. Observation mode leaves reach unchanged and simply reports how each segment performs, while targeting mode restricts the campaign to only those segments. Starting in observation avoids cutting reach before there is enough data to trust, and the findings can guide Bid Adjustments that raise or lower bids for segments by performance.
Audiences also pair with related tactics. Remarketing re-engages people who already visited your site, First-Party Data powers custom lists of known customers, and comparing audience results against a Cost Per Mille benchmark helps judge whether a segment's reach is worth its price before shifting budget toward it.
Why It Matters
Layering audiences onto campaigns sharpens who sees your ads and supports smarter bidding. Even in observation mode, audience data reveals which segments convert best, informing where to push budget and which groups to bid up or exclude.
Example
A SaaS site running search ads adds an in-market audience for "business software" in observation mode. After a few weeks the data shows that segment converts at a much better rate than average. The team then raises bids for those users with a positive bid adjustment and layers the same audience into a remarketing campaign to re-engage past visitors.
Common Mistake
Applying audiences in targeting mode too early, which narrows reach before there is enough data to trust. Start in observation mode to gather performance signals, then tighten to targeting once a segment clearly outperforms.
Frequently Asked Questions
What is the difference between observation and targeting mode?
Observation mode adds an audience for reporting and bidding signals without limiting who sees your ads. Targeting mode restricts delivery to only the chosen audience. Start with observation to gather data, then narrow to targeting once a segment proves out.
What are in-market versus affinity audiences?
In-market audiences are users actively researching or shopping a category right now, signaling near-term intent. Affinity audiences reflect longer-term interests and lifestyle. In-market usually converts sooner, while affinity is better for broad awareness and top-of-funnel reach.
Is audience targeting the same as keyword targeting?
No. Keyword targeting reaches people by what they search. Audience targeting reaches them by who they are and how they behave. The two are often layered together so ads reach the right person searching the right term.