● Media Buying Course · Day 6 of 20 · Week 2: The Levers

Budgets: who decides where the money goes

Week 1 gave you the foundation. Week 2 is the five levers you actually pull. First: budget - and the single biggest structural choice, who allocates it across your ad sets, you or the algorithm.

The decision that matters most

Daily vs lifetime is a detail. The real choice is where the budget sits - at the campaign level (algorithm allocates) or the ad-set level (you allocate). That single switch shapes how the whole campaign behaves.

1Daily vs Lifetime budget

Daily Meta spends ~this amount per day (can flex up to ~25% on high-opportunity days, balancing over the week). Best default: simple, continuous, easy to scale.
Lifetime a total for the whole run; Meta paces it across the dates. Needed for scheduling/dayparting, but less flexible day to day.

For most always-on acquisition, use daily. Use lifetime when you have a fixed total and a fixed window (a launch, a sale).

2The big one: CBO vs ABO

🤖 CBO · Campaign Budget Optimization (now "Advantage+ campaign budget")

One budget at the CAMPAIGN level

Meta dynamically distributes it across ad sets in real time, pushing money to whichever is winning. You hand allocation to the algorithm. Pro: faster, more rational reallocation, less fragmentation. Con: less control; Meta may starve an ad set you believe in; harder to guarantee a fair test.

🎛 ABO · Ad Set Budget Optimization

A separate budget on EACH ad set

You control exactly how much each gets, regardless of performance. Pro: full control; guarantees fair, equal spend - ideal for clean testing. Con: more manual; you're a slower allocator than the algorithm; easy to fragment budget and trigger Learning Limited.

3When to use which

🧪 ABO for testing

When each audience or creative concept needs guaranteed equal budget so the comparison is fair.

📈 CBO for scaling

Once you know what works, let the algorithm pour money into winners efficiently.

The modern default leans heavily CBO/Advantage+ - it aligns with the "fewer, broader, let-AI-decide" direction of the whole platform. Connect it back: CBO helps an ad set cross the ~50-event threshold (Day 5) by concentrating spend, instead of three ad sets each stuck at 20.

Analogy · managing a sales team's leads

ABO = you hand each rep an identical, fixed stack of leads and refuse to change it, even if one is clearly closing more. Fair test, but you knowingly waste leads on weaker reps. CBO = you funnel more leads to whoever's hottest today, automatically. More money out the door, less fairness - exactly right once you're past testing and into scaling.

▤ In Ads Manager · where budget lives

Advantage+ campaign budget ON (CBO)budget field at CAMPAIGN level

Advantage+ campaign budget OFF (ABO)budget field on EACH AD SET

Daily vs Lifetimedropdown next to the amount

The toggle is a switch on the campaign setup screen - flipping it later is a significant edit that can reset learning, so decide up front.

⚠ What gets people wrong

(1) ABO with tiny per-ad-set budgets across many ad sets - the fastest route to Learning Limited everywhere. (2) Editing CBO budgets in big jumps, resetting learning each time. (3) Believing more control = better results. Against the algorithm, your manual allocation is usually worse. Control is for testing fairness, not for out-spending the machine.

Recap - 30 seconds

Daily budget for always-on; Lifetime for fixed window/scheduling.
CBO = one budget at campaign level, algorithm allocates. Best for scaling.
ABO = separate budget per ad set, you allocate. Best for fair testing.
CBO helps ad sets cross the ~50-event threshold by concentrating spend.
More manual control usually means worse allocation - reserve ABO for when test fairness matters.

Day 6 · Week 2: The LeversTomorrow → Day 7: Bid strategies & cost controls