Broad targeting means setting only the basic limits for a Meta ad set, usually location and age and occasionally gender, and adding no interests, behaviours or lookalikes. Within those limits, Meta’s delivery system decides who sees each ad, based on who it predicts is most likely to take the action you are optimising for.
How broad targeting works
Every time an ad slot comes up, Meta estimates how likely the person in front of it is to click, sign up or buy, using what it knows about their activity and how people like them responded to similar ads. With narrow targeting, that prediction only runs inside the group you chose. With broad targeting, it runs across everyone in the location and age range, so the system has more people to choose from.
That makes the ad itself the main targeting tool. A video showing a loft conversion in a Victorian terrace, with a caption about planning permission, will tend to find homeowners interested in loft conversions, because those are the people who stop and engage with it. Meta learns from that response and finds more like them. The setting is closely related to Advantage+ audience, where you can add suggestions that Meta may go beyond.
Broad targeting depends on a good signal. It works best when the campaign optimises for a real outcome such as purchases or qualified leads, tracked through the Meta pixel and the Conversions API. Optimise for cheap clicks and the system will simply find people who click.
Why it matters
For many accounts, broad targeting now matches or beats stacks of interests, because the interest categories are blunt and the delivery system has far more information than an advertiser can choose from a menu. It also keeps the audience large enough for the system to learn, avoids several ad sets competing with each other, and makes management simpler.
It is not right everywhere. A business that can serve only a tight area needs a tight location. Products for a specific profession, such as continuing training for UK pharmacists, may need detailed targeting or a customer list to be found at all on a small budget. And ads in a special ad category, such as employment or housing, have their targeting limited by Meta in any case.
Common mistakes
- Going broad while optimising for link clicks or engagement, so the system finds people who tap, not people who buy.
- Running broad with weak, generic creative that gives the system nothing to learn from.
- Setting the location to the whole UK for a business that serves one county.
- Judging it in the first few days, before it has left the learning phase.
- Forgetting to exclude existing customers when the goal is new customers.
How to act on it
Check that conversion tracking is accurate first; broad targeting is only as good as the signal it learns from. Set the location to where you can genuinely serve, an age range that reflects real buyers, and nothing else. Give it two or three distinct creative angles, each speaking clearly to the customer you want.
Test it against your current best interest or lookalike ad set, with similar budgets, for at least a couple of weeks. Compare cost per result and, more importantly, the quality of leads or sales in your own records. If broad wins, consolidate. Setting this up properly is central to how I approach Advantage+ campaigns, where broad delivery is the default.