Meta Ads: stop trying to control everything (age, gender, targeting)

There's one sentence I repeat to pretty much every client who runs their own Meta Ads budget in-house. "Stop restricting." Age, gender, interests, everyone wants to get their hands in there and pinpoint their exact ideal customer. And in 90% of cases, it does more harm than good.

I leaned on a Jon Loomer guide for this one, because he says exactly what I've been seeing on the agency side for years. Meta has changed, and so has the way you manage campaigns on it. The problem is that a chunk of advertisers are still stuck on the old methods, trying to control things that no longer need controlling.

So I'm going to walk you through how I see it. When to let go of the control, and more importantly when you actually do need to step in. Because there are exceptions, and the way you intervene changes everything.

The reflex that costs you money

Here's the thing I see all the time. An eCommerce operator knows that 80% of their customers are women between 30 and 45. So they launch a campaign and restrict it right away, women only, 30-45. Makes sense in their head. Except they just kneecapped the algo's learning before it even got a chance to work.

The more you constrain Meta, the more you dilute its ability to find the people who will actually buy. And that's what most advertisers miss. When you optimise for a purchase, Meta doesn't care about your demographic target. Its only goal is to bring you as many conversions as possible within your budget. If your buyers are 35-year-old women, it'll go find them on its own. You don't need to hold its hand.

That's what people struggle to wrap their heads around with Meta Ads targeting today. It used to be that you stacked interests, behaviours, age brackets, building your audience brick by brick. Now a big chunk of those options have disappeared or barely do anything anymore. What actually drives delivery is the event you optimise for and the signals you feed back. The rest is just a suggestion.

And Meta often goes looking where you don't expect it to. You've got a product for men? There are women buying it as a gift for their partner. If you'd restricted to "men only," you'd have missed those sales. Those are exactly the sales restriction makes you lose.

Feed the algo before you try to control it

Before we talk about sliders, we need to talk about what feeds the algo. Because everything I'm saying here only holds up if Meta is receiving clean data.

If your pixel reports events poorly, if you've got nothing on the server side, Meta optimises blind. It brings you conversions, sure, but not necessarily the right ones. And at that point no value rule will save you. So before you touch targeting, make sure your tracking is solid, both browser-side and server-side. That's the foundation. Without it, running broad is just handing your budget to the algo with no guardrails.

The more reliable purchase signals you send it, the more it refines its own targeting. That's the real lever. Not the boxes you tick in the ad set.

Age, let it run

On age, by default I put nothing. Zero input. You launch with no restriction.

Now, if you want to add age as a suggestion, go ahead, it can't hurt you. But generally it changes nothing. Over the last three years I've seen a good fifteen accounts where the age suggestion had zero impact whatsoever. If Meta finds buyers outside your suggested bracket, it'll serve them anyway. And good thing too.

Now, there's one case where it can go wrong, and this is where it gets interesting. It's when you're not optimising for a purchase.

If you optimise for a lead, a click, a signup, Meta couldn't care less whether that person will ever buy. Its only job is to trigger your event as cheaply as possible. And what I see is that older age brackets, like 65+, are often where Meta goes to find cheap actions. You can get cheap leads, cheap clicks, from people who'll never buy a thing. Just because they click more easily.

So here's what I do. I let it run a week or two with no restriction, then I run a breakdown by age bracket to see where the budget is going.

And pay attention here. The goal isn't to cut the most expensive bracket on principle. Look instead for where Meta is pulling cheap, junk volume.

Value rule over restriction

When I spot this problem, I don't restrict age. I lower the bid with a value rule.

On campaigns optimised for leads or signups, something I do often is lower the bid by 50% for 65+ and by 20% for 55-64. That way Meta can still serve them if they genuinely convert, but it stops bleeding your budget on them.

The most important point. You apply this value rule only when there's a real, identified problem. Not on principle. Not "just in case." You add it when your breakdown shows you in black and white that Meta is wasting money. Otherwise you let it run.

When the law forces you to restrict

There's one case left where the value rule isn't enough. It's when you legally can't serve an age bracket. Then you switch to a straight restriction.

In the ad set's audience controls, you can set a minimum age up to 25. If you need to go further, you click to restrict more and make sure to uncheck the "use as suggestion" box, otherwise it doesn't restrict anything. You can also set a minimum at the account level in the settings, which then applies to all your campaigns. But even there, the minimum caps out at 25.

Gender, even less reason to touch it

With gender, it's the same logic as age, only more clear-cut. With age you sometimes have legal reasons to restrict, whereas with gender, almost never.

Same principle. If you optimise for a purchase and 90% of your customers are women, Meta isn't going to burn your budget on men. It's hunting for sales, it goes where the sales are.

The problem shows up, again, when you optimise for something other than a purchase. The classic example Loomer gives, and one I've seen for real. A service that helps female entrepreneurs, fronted by a founder doing a video about the struggles of entrepreneurship. Nothing stops men from watching that video and engaging with it. They'll even do it at a high rate.

Except you don't want that engagement. If Meta burns 50% of your budget on men who'll never buy your programme, the cheap results are worth nothing.

And you won't know until you've tried it without restriction. You launch, you run a breakdown by gender, and you look. If you see Meta blew half the budget on a gender bringing you junk volume, you lower the bid by 50 or 90% depending on how bad it is. Value rule, again. You don't touch the restriction.

Actual gender restriction should almost never happen. In fact Meta doesn't even put gender in the audience controls anymore, there's a reason for that.

How to test your audiences when attribution is murky

This is the real question everyone asks. With all the data loss, reporting has gotten fuzzy, so how do you know which audience actually works?

I keep it simple. I launch broad, no restriction, and I let it run a week or two so the algo can get out of learning. During that phase, I touch nothing. Then I run my breakdowns, by age, by gender, by placement. I look at where the budget goes and what it returns, bracket by bracket.

The trap is judging too fast. If you bump your budget all at once or cut after three days, you throw off the algo and you're reading data that means nothing. You have to give it time to find its people, and move gradually.

And when Meta's attribution gets too questionable, I cross-check with my real business numbers. Actual revenue, orders in the back office. It's less granular, but it tells you whether the campaign is making money overall or not. Often that's enough to make the call.

Remarketing, you can almost forget it

Okay, I'm going to ruffle some feathers here. You almost never need to restrict by remarketing audience anymore.

I know there was a time when remarketing was THE strategy. Targeting people who'd visited your site, retargeting abandoned carts, all of it. And it worked.

But times have changed. Today remarketing happens on its own. Broad campaigns, with Advantage+, are already going after people who've engaged with your brand. In most cases you no longer need to build separate custom audiences for that. If you want to add them as a suggestion, go ahead, but honestly I have my doubts about what that actually gets you.

And yet plenty of advertisers keep clinging to remarketing like it's 2018. Out of habit, I think. It's reassuring to keep control. Except here, keeping control mostly means slowing down your own algo.

And what about creative in all this

One thing I want to add, because it's often the big blind spot. When you let go of targeting, your creative becomes your real targeting.

Meta no longer needs you to tell it who to target, because your ad does it instead. A video speaking to female entrepreneurs will naturally pull in female entrepreneurs. A male-oriented visual will go find men. It's the image, the message, the tone that filter your audience today, not the boxes in the ad set.

So instead of spending your time fiddling with sliders, put that energy into your creatives. That's where the battle is fought now.

The rule that sums it all up

Bottom line, the principle fits in one line. By default, you touch nothing. You let go of control on age, gender, remarketing, detailed targeting. You let the algo do its job.

And you only step in when a breakdown shows you a real problem. A specific spot where Meta is wasting money. And even then, your first move is the value rule, not the restriction. You lower the bid, you leave a door open. Straight restriction is the last resort, reserved for legal cases.

The more you constrain, the more you dilute the learning. That's the logic I use as my guardrail the moment I catch myself wanting to touch a slider.