Campaign Budget Optimization

A practical example

Example: a campaign with a 500 USD daily budget runs four ad sets; after the learning phase, the system allocates most spend to the two ad sets with the lowest predicted cost per signup while keeping minimum spend on the others.

What to evaluate before investing

• Ask which objective signals drive reallocation and how quickly the algorithm reacts to performance changes.
• Verify minimum and maximum spend rules per ad set so new tests still receive exploration budget.
• Check whether results are explainable: spend-shift logs and per-ad-set delivery data you can audit.

Limitations and tradeoffs

Automated reallocation optimizes toward the platform's predicted metric, which may not match your true business outcome, and it can starve long-term tests. Keep manual constraints and review objective alignment regularly.