I paid Alex Hormozi $235,000 for his Facebook Ads Strategy

Business-focused summary (Meta/Facebook & Instagram ads strategy)

Costly mentorship / context

• The speaker describes paying $135,000 for a day with Alex Hormozi/Alex Mosi in Las Vegas.
• Another paid day is scheduled for February, costing $100,000.
• Total referenced spend: $235,000 (the video claims the strategy/tactics will be shared “for free” in the video).

---

1) Strategy: “Post Andromeda” creative diversification (ad retrieval/personalization)

Core idea

Meta’s Andromeda ad retrieval system enables more personalized delivery (less “bucketed” audiences seeing the same ad). To win in this environment, you must increase both creative volume and variety.

Framework / playbook elements

• Use more creative diversification because different users respond to different ad styles and formats.
• Treat creative volume as the limiting factor (not the number Meta allows in an ad set).
• If competitors’ results dip post-Andromeda, treat it as an opportunity to outperform by producing and diversifying faster.

Actionable recommendations

• Produce many ad variations, not just a few.
• Mix ad formats:
  • videos
  • statics
  • carousels
• Mix ad styles:
  • UGC
  • founder-led
  • animated
  • influencer/partnership
  • testimonial
  • product demonstration
• Target production cadence:
  • Example given: recording ads weekly with 50+ creatives per cycle (per the speaker’s description).

Key operational guidance / rule-of-thumb shift

• Old advice (speaker): no more than ~6 creatives per ad set.
• New guidance: you can run 20–50+ creatives concurrently.
• The real constraint becomes: how much high-quality creative you can produce.

Meta implication

If you only run one style (e.g., only static images), you capture only part of the market that responds to that style; diversification improves coverage across different responders.

Example argument

Some community reports say results worsened after Andromeda, but the speaker claims Alex reports better results than ever post-Andromeda across a portfolio of businesses (not only one brand/account).

---

2) Tracking accuracy first (data-driven optimization)

Core idea

Optimization decisions require accurate tracking. If conversion/quality data is wrong, you’ll optimize for the wrong behavior and misallocate budget.

Process recommendation

• Verify dashboards and conversion events so decisions like “turn this off / scale that” reflect true performance.

Problem described

• Meta can only optimize for what it can measure.
• If leads are tagged as “leads” but later you discover many aren’t qualified—and Meta doesn’t know—that system learns the wrong pattern.

---

3) Optimize for the right outcome: qualified leads (or qualified sales)

Core idea

The speaker emphasizes that many advertisers optimize for lead quantity instead of lead qualification. The fix: make Meta’s optimization event represent qualified outcomes only.

---

Leads: use conditional logic to gate “qualified” conversions

Playbook

• Add qualifying questions inside the lead capture flow (website form or Meta Instant Forms).
• Route users to different thank-you pages and trigger different Meta conversion events based on qualification.

Concrete qualification example

• Budget threshold example: qualify only prospects with >$5,000 budget.
  • If <$5,000:
    • show a “not eligible” end page
    • do NOT register as a “lead” conversion for optimization (or register a separate non-qualified event)
  • If >$5,000:
    • show “submit application / leads” eligible end page
    • fire the conversion event Meta optimizes for (e.g., “submit application”)

Implementation detail

• At the ad set level, set the optimization goal to the conversion event corresponding to qualified-only outcomes.
• Use conditional routing:
  • Instant Forms: enable conditional logic
  • Website forms: use different redirect/thank-you pages per qualification outcome

Expected impact timeline (qualitative)

• Day 1: minimal impact
• After 30 days and 90 days: potentially “monstrous” improvement because Meta keeps learning and reinforcing the qualified pattern

Measurement / KPI shift

• Don’t measure only cost per lead.
• Measure cost per qualified action, e.g.:
  • cost per submitted application
  • cost per high-quality/qualified lead
• Reason: some ads produce many low-quality leads cheaply; optimization should match profitability.

Additional lead-quality enhancement (speaker-added)

• For Instant Forms:
  • use higher-intent configuration
  • require SMS phone verification (one-time passcode)
• Claimed benefit: filters out unserious leads by requiring real phone numbers.

---

Sales / ecommerce: optimize for value, not just conversion count

Core idea

For sales-based businesses, optimizing for “conversion count” can cause Meta to find cheaper buyers who spend less.

Actionable guidance

• At the ad set level, switch from:
  • Maximize number of conversions ➝ Maximize value of conversions
• Rationale: if Meta treats all conversions as equal, it will bias toward the cheapest conversions; optimizing for value aligns with the business goal.

---

Tooling mention: faster creative generation (Higsfield MCP + Claude)

What was introduced

• The speaker recommends Higsfield MCP (integrated via Claude) to generate/edit/ship ad creatives end-to-end in one chat.

How it works (as described)

• Input: product link
• It:
  • reads reviews
  • extracts selling points and objections
  • writes ad briefs
  • generates creative variations

Operational benefit claim

• Produce a full set of testable ad variations faster and cheaper than manual workflows.
• Goal: reduce the creative production bottleneck described earlier.

Example workflow

• Configure connector in Claude settings:
  • settings → connectors → add Higsfield connector
• (Discount call-to-action included, but the main takeaway is higher creative throughput.)

---

Suggested marketing/education funnel (light mention)

• The speaker briefly promotes joining their school/community for:
  • 110+ exclusive videos
  • weekly live Q&A
  • active responses to community posts
• Claims include 700+ members after a few weeks and 5-star reviews (promotional, but indicates ongoing support for execution).

---

Key metrics / KPIs and targets mentioned

KPI shifts recommended

• Optimize toward:
  • cost per submitted application (instead of cost per lead)
  • cost per qualified lead / high-quality lead
• For sales:
  • optimize value of conversions (instead of conversion count)

Timeline expectation

• Learning/impact expected to compound over 30 days and 90 days after implementing qualified-only optimization.

Notes on targets

• No explicit revenue/CAC/LTV targets were provided.

---

Presenters / sources

• Alex Hormozi (referred to as Alex Mosi in subtitles; source intent is Hormozi)
• The speaker/author of the video (name not provided in the subtitles; presenter is the narrator who paid for the day and then teaches the framework)