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⁠Every Meta Ads Campaign Structure Explained in 10 minutes

Eric | Ecom Explained · 2,116 words · 10 min read

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0:00the original structure. stands

0:03for ad set budget optimization, and it's

0:05the original way every Facebook ad

0:07account was built. Here's how it works.

0:09You create a campaign. Inside that

0:11campaign, you create ad sets.

0:14And each ad set gets its own budget that

0:16you set manually. 50 bucks a day on ad

0:18set A, 50 on ad set B, 50 on ad set C.

0:22Meta cannot move that money around.

0:23Whatever you set is what gets spent.

0:26You're in complete control. For years,

0:28this was the only way to run ads. If you

0:30wanted to test broad targeting against a

0:32look-alike, you'd put each one in its

0:34own ad set with the same budget. Clean

0:36fair test. The reason still has a

0:39place in 2026 is isolation. When you

0:41absolutely need a specific audience to

0:43get spend, is the only way to

0:46guarantee it. Retargeting is the big

0:48one. If you've got a small custom

0:50audience of cart abandoners, CBO will

0:52starve it because the algorithm sees the

0:54bigger audiences as cheaper. [music]

0:56forces the spend. Same for clean

0:58creative testing.

0:59You want every concept to get a fair

1:01shot? Put each one in its own ad set

1:04with the same budget. No algorithmic

1:06favoritism. The trade-off is efficiency.

1:08You're choosing certainty over

1:09optimization. And in an Andromeda world

1:12where the algorithm is genuinely better

1:14at finding buyers than you are, that's a

1:16real cost. is no longer the default.

1:19It's a specialty tool. CBO, the

1:21algorithm, takes over. CBO is campaign

1:24budget optimization. Meta renamed it

1:26Advantage Campaign Budget in the new

1:27interface, but it's the same thing. And

1:29it changed everything. Instead of

1:31setting budgets on each ad set, you set

1:33one budget at the campaign level. Meta

1:35then decides in real time how to

1:37distribute that money across your ad

1:38sets. Ad set A converting cheap? Meta

1:40floods it. Ad set C dying? Meta cuts it

1:44off. You don't touch anything. The

1:45algorithm runs the wallet. And here's

1:47the wild part. Studies show that in a

1:50typical CBO campaign, 20% of your ad

1:52sets eat 80% of the budget. That's by

1:55design. CBO isn't trying to test fairly.

1:58It's trying to win, which is why CBO is

2:00incredible for scaling and brutal for

2:02testing. If you've already got proven

2:04winners and you want Meta to push spend

2:06toward whatever's hottest, CBO does that

2:08better than you ever could manually. But

2:10if you load it up with five new untested

2:12ad sets, Meta might spend 95% of your

2:14budget on one of them and leave the

2:16others with nothing. Zero usable data on

2:18the losers. And here's what most

2:19beginners miss. Changing budgets on a

2:21live CBO campaign resets the learning

2:24phase. Pausing, adjusting, targeting,

2:26all of it. Meta needs stable conditions

2:28to optimize, so you set it up, you walk

2:30away, you let it cook for at least seven

2:32days. There's also a guard rail most

2:33people skip. You can set ad set minimum

2:35spends inside a CBO campaign. That

2:37forces Meta to spend at least that much

2:39on the ad sets you care about. Used

2:41right, [music] you get the best of both

2:42worlds. Most six-figure per day accounts

2:44in 2026 run their scaling spend through

2:46CBO. It's the engine. is the test

2:49bench. 111, the consolidation structure.

2:52111, one campaign, one ad set. Every ad

2:55you've got stacked inside that one ad

2:57set. This is the structure that took

2:58over after iOS 14 broke everything. The

3:01whole point is signal consolidation.

3:02When Apple let users opt out of

3:04tracking, Meta lost a huge chunk of the

3:06data it relied on to optimize. Suddenly,

3:08campaigns split across 10 ad sets

3:10couldn't generate enough conversions per

3:12ad set to actually learn. Each ad set

3:14needs roughly 50 conversions a week to

3:16exit the learning phase. Fragment your

3:18spend across too many ad sets and none

3:19of them ever get there. So, the smart

3:21move became collapsing everything down.

3:23One broad ad set, 20 plus ads inside.

3:25All the signal pooling in one place. And

3:27for a while, this was the structure. But

3:29111 has a ceiling. Once you load more

3:31than maybe 10 or 15 ads into a single ad

3:33set, Meta picks its favorites. Two or

3:35three winners. The rest barely get any

3:37impressions. You're paying for them to

3:39exist, but they're not getting at bats.

3:41And the moment your winners fatigue, you

3:42don't have backups warmed up. The whole

3:44account stalls. That's why 111 started

3:47losing ground around 2024. Meta's own

3:49data showed one ad set with 25 creatives

3:52generated 17% more conversions at 16%

3:55lower cost than five ad sets with five

3:57creatives each. The principle was right,

3:59consolidate the signal, but the

4:01execution had to evolve. 155, the

4:03testing hybrid. 155, one campaign, five

4:06ad sets, five ads inside each ad set.

4:09This is the structure most serious media

4:10buyers actually run in 2026, and the

4:13math is simple. 111 consolidated too

4:15much. You couldn't test. So, instead of

4:17giving every concept its own ad set or

4:20stacking everything in one pool, you

4:21split the difference. Each ad set holds

4:23one core concept. Inside that ad set,

4:26you've got five variations, different

4:28hooks, different opening lines,

4:30different formats. The ad set is the

4:32concept test, the ads inside are the

4:34variation test. You get five at bats per

4:36concept. Even if your strongest hook is

4:38a loser, your second or third might be

4:40the actual winner. Meta picks between

4:42them automatically. This is the sweet

4:43spot for accounts spending anywhere from

4:45a thousand bucks a day up to about

4:4620,000 a day. Enough segmentation to

4:48learn something, enough volume per ad

4:50set to actually exit the learning phase.

4:52And when you run this on top of CBO at

4:54the campaign level, Meta routes the

4:56budget to whichever concept is

4:57converting cheapest. The trap people

4:59fall into is over segmenting. They make

5:01it 11010 or 1255, and suddenly the

5:04budget is too thin per ad set. None of

5:06them generate enough data. Everything

5:07stays in learning forever. Three to five

5:09ad sets is the practical ceiling under

5:11Andromeda. Anything beyond that is

5:13fragmenting your signal for no payoff.

5:15Keep it tight. Let the algorithm do its

5:16job. If you're loving this breakdown,

5:18make sure to subscribe and hit the bell.

5:20We've got more coming. Let's keep going.

5:22ASC, the black box. ASC stands for

5:25Advantage Plus Shopping Campaign, and

5:27this one is different from everything

5:28else on this list because ASC isn't a

5:30structure you build, it's a structure

5:32Meta builds for you. You don't create ad

5:34sets, you don't pick audiences, you

5:36don't choose placements. You upload

5:37between 20 and 50 creatives, set a daily

5:40budget, set your existing customer

5:42budget cap. That's it. Meta handles

5:44every other decision. Targeting,

5:45placements, bidding. Internal Meta data

5:47shows ASC delivers 17% lower cost per

5:50acquisition than manual campaigns. And

5:53for e-commerce accounts pulling in more

5:54than 50 purchases a week, ASC has

5:56basically become the default. It's the

5:58campaign type Meta pushes hardest

5:59because it gives them the most control.

6:01And here's where you have to be careful.

6:03ASC works incredibly well when you have

6:05clean conversion data, an existing

6:06customer list uploaded, and a real

6:08product catalog connected. It tanks when

6:10any of those are missing. The existing

6:12customer budget cap is the one lever you

6:14absolutely have to use. Without it, Meta

6:17will spend 40 or 50% of your budget

6:19retargeting people who already bought

6:20from you. Your reported ROAS will look

6:22great. Your actual new customer

6:24acquisition will be a disaster. The

6:26recommended starting cap is around 25 to

6:2830% for most accounts. Drop it lower if

6:31you want pure prospecting. The other

6:32thing to know is ASC needs volume to

6:35work. The official threshold most

6:36agencies use is 50 purchases a week.

6:39Below that, stick with manual. Above

6:41that, test ASC in parallel and see if it

6:43beats your existing setup. ASC is a

6:46tool. It's powerful when fed properly

6:48and expensive when it's not. Testing

6:49plus scaling, the two campaign split.

6:51This is where most agency accounts in

6:532026 actually live. The two campaign

6:56split. You run one campaign that exists

6:58purely to test new creative, low budget,

7:00maybe 100 or 200 bucks a day. Brand new

7:02ads get launched here every week. Some

7:04flop, some show promise, a few become

7:06winners. Then you run a second campaign

7:08whose only job is to scale those

7:10winners. Higher budget, sometimes much

7:12higher. Often using CBO so Meta routes

7:14spend to whichever proven winner is

7:16hottest. The testing campaign is the

7:17factory. The scaling campaign is the

7:19distribution line. Creative flows one

7:21direction. Test it cheaply, validate it,

7:24then migrate it to where the real money

7:26lives. And the reason this dominates

7:28among high-volume creative shops is that

7:30Andromeda made creative volume the

7:32number one lever. Brands testing more

7:34than 20 new ads a month see roughly 65%

7:37higher ROAS than brands testing fewer

7:39than 10. You need a structure that lets

7:40you launch volume without polluting your

7:42scaling environment. If you just dropped

7:44every new untested ad into your main

7:46scaling campaign, you'd reset the

7:48learning phase constantly and tank

7:49performance. Separating testing from

7:51scaling solves that. The trade-off is

7:53what people call the migration tax. When

7:55you copy a winning ad over to scaling,

7:57it usually dips for a few days before

7:59stabilizing. Some people use post ID

8:01duplication to preserve the social

8:03proof. Others accept the dip. The

8:04pipeline only works if you keep feeding

8:06it. Duplication, vertical scaling.

8:08Duplication is one of the oldest scaling

8:10tricks in the book and it still works in

8:122026. Here's the play. You've got a

8:14winning ad set spending 200 bucks a day

8:17and crushing it. You want to push more

8:18money through, but you've learned that

8:20big budget jumps reset the learning

8:21phase and tank performance for a week.

8:23So, instead of doubling the budget on

8:25the existing ad set, you duplicate it.

8:27Make an exact copy, same creative, same

8:29audience, same everything, new budget.

8:31Now you've got two ad sets running the

8:33same thing, each at 200 bucks. You can

8:35duplicate again and again. Suddenly

8:37you're spending a thousand a day on what

8:40was a 200 a day winner. No learning

8:42phase reset. It works because Meta

8:44treats each duplicate as a fresh entity

8:46in the auction. The original keeps its

8:47momentum. The duplicates start their own

8:49learning, but they're using a creative

8:51that's already proven to convert. The

8:52downside is auction overlap. You're

8:54competing against yourself. Sometimes

8:56one duplicate eats another duplicate's

8:57lunch. Sometimes the new ones never

8:59stabilize and there's a ceiling. Past a

9:01certain point you're just splitting the

9:02same audience pool into smaller slices

9:04and CPMs climb. Most experienced media

9:07buyers use duplication as one of several

9:09scaling tools, not the only one. But for

9:11accounts where you've got one clear

9:12winner and you need to scale fast

9:14without breaking it, duplication is

9:15still in the playbook. Omni, the

9:17consolidated account. And then there's

9:19the structure that's emerging at the

9:20very top. Call it Omni, call it the

9:22consolidated account, call it the

9:23Andromeda end game. The idea is brutal

9:26in its simplicity. One campaign, one ad

9:28set, 20 to 50 creatives stacked inside,

9:30broad targeting, Advantage Plus enabled.

9:33That's the entire account. No

9:34retargeting campaign, no prospecting

9:36campaign, no separate testing setup,

9:38just one massive funnel with the

9:39algorithm doing all of the work. And the

9:41reason this is showing up on accounts

9:43spending six figures a day is that

9:44Andromeda fundamentally changed what

9:46targeting even means. Your creative is

9:48the targeting now. Meta reads every ad

9:50you upload, the hook, the visual, the

9:52voiceover, and it decides who to show it

9:54to based on what the creative is saying,

9:56which means the more diverse creative

9:58you give Andromeda, the more types of

9:59buyers it can find. Brands running this

10:01structure are testing 20 plus new ads a

10:03month. Their creative library is the

10:05entire strategy. The campaign structure

10:07is just plumbing. And here's the catch.

10:09This only works once you have proven

10:11creative volume and clean signal data.

10:13If you copy this structure as a beginner

10:15with three ads and no track [music]

10:17record, you'll burn through your budget

10:18in a week with nothing to show for it.

10:20The bigger principle to take away is

10:21this. Don't pick a structure because

10:23it's trending. Pick the structure that

10:25solves the actual constraint in your

10:26account. If you can't produce enough

10:28creative to feed Omni, you have no

10:30business running Omni. The structure

10:31follows the operation, not the other way

10:33around.

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