CBO VS ABO : Facebook ADS Stratergy
When you use Campaign Budget Optimisation (CBO) too early, Meta's AI often picks a "winner" within hours based on early signals, starving your other ad sets of the data they need to actually prove themselves.
Testing Spend (ABO)
Let's say, you use ABO first, your spend is forced. If you have 5 ad sets at ₹500 each, Meta must spend ₹2,500 total, even if 4 of those ad sets are performing poorly.
The Risk: you might "overspend" on bad audiences just to get data.
The Reward: You get a clean "scientific" test of which audience is actually the winner.
Scaling Spend (CBO)
When you move those winners into a CBO, you usually set a higher total campaign budget than the sum of your previous ABO tests.
Direct CBO Spend: If you start with CBO directly, Meta might dump 90% of your budget into one ad set because of a few early, cheap conversions. You might "spend" less to find a winner, but you miss out on potential winners that just needed a bit more time.
ABO to CBO Transition: By the time you move to CBO, you are usually spending more because you are confident. You aren't just spending to "test"; you are spending to "win."
In short, using ABO first makes your CBO more profitable, even if your total daily budget remains the same. You are essentially "cleaning" your spend before you scale it.
15 min ago
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