Video summary

Stop Running Meta Ads Until You Watch This (ABO vs. CBO in 2026)

Main summary

Key takeaways

Summary of the Video’s Main Ideas

  • Meta’s ad algorithms are changing rapidly. The video references major updates (e.g., an “endurance update”), which can make results harder to achieve consistently and forces marketers to adjust strategy.
  • Many campaign structures can work, but success depends on picking the right campaign budget / campaign structure at the right time to avoid wasting money.
  • The video heavily focuses on ABO vs. CBO, explaining how they differ and when each is usually better:

ABO (Ad Set Budget Optimization)

  • Budget is controlled at the ad set level.
  • Meta does not reallocate as freely, so you get more control over testing.

CBO (Campaign Budget Optimization)

  • Budget is controlled at the campaign level.
  • Meta automatically shifts spend toward ad sets it predicts will perform best.
  • Intended to improve efficiency and typically reduce wasted spend.

Speaker’s Argument: When to Use Each

  • ABO is often better when you want more control, especially at higher spend levels (when you’re risking more money and may want tighter testing control).
    • Potential downsides: slower data accumulation and more dependence on your own test design.
  • CBO is often better for efficiency and faster learning, especially at lower spend, because Meta can concentrate budget into the best-performing ad sets sooner.

Phase-Based Decision Framework

The video proposes a decision framework based on two main factors:

  1. Budget level (e.g., below vs. above roughly $500/day)
  2. Whether you have proven messaging or no proven messaging

It describes six phases / scenarios, each with recommended structures and tactics:

  1. Low spend (< $500/day), no proven messaging

    • Use CBO to efficiently test and learn.

  2. Low spend (< $500/day), proven messaging

    • Still use CBO, but launch new creative / ad sets weekly (introduce new ad sets periodically, keep winners, kill losers).

  3. High spend (> ~$500/day), no proven messaging

    • Use ABO-style controlled testing with multiple ad sets.
    • Include/exclude lookalikes depending on whether you have enough data.
    • Then shift toward what performs (e.g., consolidate toward broad).

  4. High spend (> ~$500/day), proven messaging

    • Scale using a structure that supports in-place scaling (described like an ABO “portfolio” approach).
    • Duplicate and refresh when fatigue appears.
    • Maintain a portfolio of winners at different spend levels.

  5. Need to “slam” spend quickly for efficiency/volume (account risk doesn’t matter)

    • Use CBO.

  6. Need to “slam” spend quickly, but only want proven messaging

    • Use ABO (and optionally test a couple controlled variants with side budget).

The “Golden Rule”

  • Ads + offer quality (“80/20”) matter most:
    • A strong offer that a large portion of the target market wants
    • Ads that stop the scroll for those people
  • Campaign structure mainly exists to prevent wasted spend and help you test/scale more intelligently.

Speakers

  • Main presenter / YouTube speaker (unnamed) — explains ABO vs. CBO and the phase-based framework.

Original video