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The Exact Facebook Ad Testing System I Use to Scale Clients Past $100k/mo

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Summary of the Video

The speaker explains a high-leverage Facebook/Meta ad testing approach designed to help clients scale past $100k/month. Rather than focusing on minor ad-account buttons or settings, the emphasis is on structuring tests around:

  1. Offers
  2. Pain points
  3. Creative diversity

This is framed as more resilient because platform behavior and ad settings change constantly.

The Core Idea: 3 Phases of Testing

1) Phase 1 — Test Offers (the biggest lever)

  • The offer matters more than creatives or targeting tweaks.
  • Start with the largest levers first, then move to smaller changes later.

B2C example offer types

  • Lead magnet funnels
  • Direct response offers (e.g., “get this result guaranteed or don’t pay”)
  • Webinars
  • Low-to-high ticket offers
  • Follower/boosted-profile-style campaigns (mentioned, but not treated as the main test cycle)

Suggested sequencing

  • If you’re new or your market isn’t overly saturated: start with direct offers (shortest path).
  • If direct offers don’t work: move to webinars.
  • Then consider low-to-high ticket offers.

What to test inside the webinar/offer

They stress that you shouldn’t only test the webinar topic, but also:

  • What the offer actually is (packaging)
  • The name/headline of the offer (naming can significantly change performance)

B2B offer testing (framed as simpler)

  • Start with direct offers that include outcomes plus a guarantee/risk reversal.
  • Test different outcomes and guarantee sizes, since bigger promises can sometimes repel qualified prospects if they seem unattainable.

Timing / budget guidance

  • B2C: run one offer style for 30–60 days
    • Make one small variation per week (e.g., webinar name/positioning; direct offer wording/promise core)
    • Spend about $100–$200/day to gather enough data
  • B2B: offers can run simultaneously for faster comparisons

2) Phase 2 — Test Pain Points (find what scales the winning offer)

Once a winning offer is identified, test five pain points using the same general ad structure.

  • Keep the body/format similar
  • Vary mostly the hook
  • Lengthen hooks to go deeper into the pain point (roughly 15–30 seconds)

Controlled testing approach

Often using:

  • One ad set with five ads, one per pain point

Iteration rule

  • Let the test run until spending reaches about 3× the KPI
    • Example: if target cost per call is $200, evaluate after $600 spend
  • Identify the ad/pain point that gets the most spend while producing qualified results
  • Shut off poor-quality performers and let the next best get more spend (repeat)
  • If nothing wins, relaunch with new pain points or a new structure

3) Phase 3 — Creative Diversity (amplify the winning pain point)

After you find the best offer + pain point combination, scale by generating many different creative formats that communicate the same message.

Examples of creative diversity

  • Turn videos into B-roll with on-screen text
  • Static ads
  • Talking-head reels
  • Split-screen, green screen, skits, etc.

When to launch diversity in existing ad sets vs. new ones

  • If you’re getting fewer than ~5 conversions per day: consolidate into existing ad sets
  • If you’re getting more than ~5 conversions per day: create new ad sets to force exploration while still collecting enough conversion data

Repeating cycle

  • When creative diversity stops improving results:
    • go back to pain points
    • find a new pain point close to the current winner
  • Continue until performance levels off

When Scaling Hits Limits: Stack Offers

If costs won’t improve after testing many pain points and creative variations, the suggestion is to revisit the offer strategy.

They note that top scalers often run multiple complementary offers, such as:

  • A direct VSL plus
  • A webinar that feeds leads into the direct funnel

This is described as stacking audience readiness and improving conversions.

Resource Mentioned

The speaker also references a custom ad template library (Kanban/Airtable-style) to help clients generate creative diversity formats, plus a deeper system for assembling ads based on:

  • pain point
  • avatar
  • format

Speakers

  1. Alex Hormozi (referenced/book mention; not speaking in the clip)
  2. Main speaker/host of the video (unnamed in the subtitles)

Original video