<b>Running 1%, 2%, 5% lookalikes in separate ad sets? Stack them.</b>

<b>Running 1%, 2%, 5% lookalikes in separate ad sets? Stack them.</b>

Separate lookalike (LAL — audience that mimics your buyers) ad sets fragment your budget and overlap badly — you bid against yourself in the 1-3% zone.

Consolidate:

— Build ONE 0-5% stacked lookalike audience in a single ad set
— Or go 1-10% if your seed list is small (under 1,000 buyers)
— Let CBO distribute, don't slice it into thin parallel sets

Fewer, fatter ad sets exit learning faster and stop overlapping.

Refresh the seed list every 2 weeks so the model tracks your real buyers. Try one stacked LAL against your sliced setup.