You will be able to decide when to let the platform find your audience and when to narrow it yourself.
Farah's first Meta ad set was a careful piece of work. Women in Singapore, aged 24 to 34, interested in modest fashion, office wear and two particular fashion magazines, and also interested in LinkedIn. She was proud of how precise it felt. It reached a small audience, cost a lot per sale, and the platform kept warning her that the audience was narrow. When a friend who ran ads for a living looked at it, she suggested deleting almost all of it.
That advice sounds backwards. Surely telling the platform exactly who you want is better than letting it guess? A few years ago, often yes. Today the platforms argue that, given good data, they usually guess better than you can. This lesson explains why, and where your own judgement still matters.
When you pick interests, you are working from labels. The platform decided someone is interested in office wear because of pages they followed or ads they clicked, sometimes long ago, and labels built that way are rough. Plenty of Farah's real customers would never be tagged with modest fashion, and plenty of people with that tag will never buy a blouse online.
The platform's delivery system works from something richer. It sees, in close to real time, how millions of people behave, and with your conversion tracking from module three it sees which of them actually bought from you. It can then look for others who behave like your buyers, whatever labels they carry. The prediction doing this work is the estimated action rate you met in lesson 1.1, The highest bid does not always win.
This is why Meta, Google and TikTok all now encourage broad targeting, and why their automated options lean on it. Meta, for example, offers audience settings under the Advantage+ name that treat your choices as suggestions and let the system go beyond them. The current names and defaults change, so check them when you build.
The condition is good conversion data. If your tracking is broken or you chose a shallow objective, the system is looking for the wrong people very efficiently. Broad targeting amplifies whatever you told it to find.
Broad does not mean no limits. Some limits are real constraints on your business, and the platform has no way to know them unless you set them.
Location is the obvious one. Priya runs a maths centre in Tampines. Parents in Jurong are unlikely to send a child across the island twice a week, so she limits her ads to the east, or to a set distance around the centre. Farah ships anywhere in Singapore, so she uses the whole country but nothing beyond it.
Language matters when your ad and your service are in a language many people in your area do not use. Age matters when the law or the product requires it, or when the product clearly does not fit a group, such as a retirement product for people in their twenties. Anything else is a preference rather than a limit, and preferences are exactly what broad targeting asks you to let go.
If the audience settings are broad, what decides who sees the ad? Largely, the ad itself. The platform shows it to a range of people, watches who stops, watches who clicks, watches who buys, and shifts delivery towards people like them.
So the creative becomes the targeting. An ad that opens on a woman getting ready for her first day at an office job, with the words what to wear in your first week, will be watched and acted on mostly by women starting a new job. The platform notices and finds more of them. An ad showing a generic model in a generic blouse gives the system nothing to go on.
That is why module five, on making ads people stop for, matters as much as this module. If you want to reach two kinds of customer, the strongest lever is often two different ads that each speak clearly to one of them. Two hand-built audiences showing the same ad usually achieve less.
Go back to Farah's first ad set. A narrow audience means fewer people to show the ad to, so fewer auctions to enter and fewer cheap opportunities, which lesson 1.2, What you pay and why it moves, covered. On a small budget, it also means the system sees few conversions and learns slowly.
There are still cases for narrowing. Retargeting people who already visited your site is narrow by design, and lesson 4.3 covers it. A business with almost no conversion data yet may get better early results by giving the system a sensible starting audience. And sometimes a test needs a narrow audience to answer a specific question.
The default, though, has shifted. Start broad within your real limits, let good creative and good tracking do the work, and narrow only for a reason you can name.
Farah's rebuilt ad set used two limits: Singapore, and women. Her cost per sale fell over the following weeks, though she also changed her creative at the same time, so she could not credit the targeting alone.
In the activity below you will write the minimum limits your own business genuinely needs, and nothing more.
Write the minimum targeting limits your business genuinely needs, such as location or language, and nothing else.
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