meta-ads-analyzer

# Meta Ads Analyzer

Most "Meta Ads analysis" stops at "this CPA is high, pause it." That's wrong more often than it's right. Meta's delivery system optimizes for **marginal efficiency** — the cost of the *next* conversion — not average efficiency across a snapshot. A segment with a higher average CPA is often the one keeping your overall campaign cheap. Pausing it makes things worse.

This skill diagnoses Meta campaigns the way a senior media buyer would: at the right evaluation level, accounting for learning state, separating noise from signal, and explaining *why* the system is making the decisions it's making before recommending any change.

**Core principle:** Holistic first, then drill down. Marginal over average. Dynamic over static. Every recommendation is a testable hypothesis with expected impact, not a directive.

## When to Use

- "Analyze my Meta Ads campaign performance"
- "Why is the system spending more on the higher-CPA placement?"
- "Diagnose what's wrong with this ad set"
- "Should I pause this audience / placement / ad?"
- "My CPA jumped — is this normal or a real problem?"
- "Audit this campaign before I scale budget"
- "I exported my Meta data — what does it actually mean?"

## Phase 0: Intake

1. **Campaign data** — One of:
   - CSV export from Meta Ads Manager (Campaign / Ad Set / Ad level + breakdowns)
   - Pasted performance table
   - Screenshots (we'll extract the metrics)
   - Live data via your existing Meta Marketing API connection
2. **Campaign setup**:
   - Objective (Awareness / Traffic / Engagement / Lead Gen / Conversions / Sales / App Installs)
   - Budget type (Advantage+ Campaign Budget = CBO, or Ad Set Budget = ABO)
   - Placements (Automatic vs. manual)
   - Number of ad sets and ads
3. **Time period** — Date range covered, with any known events (creative refresh, budget change, audience edit, account issue)
4. **Target metrics** — CPA target, ROAS target, or "no target — benchmark me"
5. **Funnel context** (if relevant) — On-platform conversion vs. website event vs. downstream qualification rate
6. **What's making you ask?** — Specific concern ("CPA up 40%"), routine review, or pre-scale audit

## Phase 1: Identify the Correct Evaluation Level

This is the most important step. **Evaluating at the wrong level is the #1 source of wrong recommendations.**

| Campaign Setup | Correct Evaluation Level | Why |
|---|---|---|
| Advantage+ Campaign Budget (CBO) | **Campaign level** | System pools budget across ad sets — only campaign totals reflect reality |
| Automatic placements (no CBO) | **Ad Set level** | System pools budget across placements within the ad set |
| Multiple ads in 1 ad set | **Ad Set level** | System pools delivery across ads |
| Manual placements + ABO | Placement / Ad Set level | Each is independent |

**Output for this phase:** State the evaluation level explicitly and explain why before any metric is interpreted.

> If asked "is this Meta placement underperforming?" on a CBO campaign, the answer is "wrong question — at CBO the placement-level CPA is misleading. Here's the campaign total..."

## Phase 2: Check Learning Phase Status

Before judging anything, check delivery state per ad set.

**Learning state checklist:**
- Status is `Learning` (delivery less stable, CPA typically higher, results not predictive)
- Exits after ~50 optimization events within 7 days of last significant edit
- Shops ads exception: 17 website purchases + 5 Meta purchases
- Status `Learning Limited` = can't get enough events → flag as a structural issue, not a performance issue

**Significant edits that reset learning:**
- Targeting changes
- Optimization event change
- Creative changes (large)
- Bid strategy / amount changes
- Budget changes >20%

**Output for this phase:** Per ad set, mark `Active` / `Learning` / `Learning Limited`. Caveat all conclusions for anything in learning. **Do not recommend pausing a Learning ad set based on CPA alone.**

## Phase 3: Diagnose with Meta-Specific Lenses

Run the diagnosis through these five lenses. Each one explains a different class of "weird" behavior.

### 3A: Marginal Efficiency Analysis (Breakdown Effect)

The Breakdown Effect: the system shifts budget toward segments where the *next* conversion is cheapest, not where the *average* conversion is cheapest. A segment can have a high average CPA in a breakdown report and still be the right place for budget.

**How to spot it:**
- Time-series the segment's CPA. If marginal CPA is rising sharply, expect the system to shift budget out — even if average looks fine.
- A breakdown row with high average CPA + high spend usually means the system found cheap marginal conversions there earlier in the period.

**Mandatory framing in the report:** Never recommend pausing a segment based solely on higher average CPA/CPM in a breakdown report. Removing it will often *raise* total cost. Frame any cut as a hypothesis to test with a holdout, not an instruction.

### 3B: Ad Relevance Diagnostics

For each ad with sufficient impressions (~500+), check the three rankings:

| Ranking | Below Average → | Action |
|---|---|---|
| **Quality Ranking** | Creative is the problem | Test new creative formats / hooks |
| **Engagement Rate Ranking** | Hook isn't pulling | Test new opener / first 3 seconds |
| **Conversion Rate Ranking** | Post-click is leaking | Audit landing page (use `ad-to-landing-page-auditor`) |

Two below average + one average = creative refresh. All three below average = scrap and rebuild.

### 3C: Auction Overlap Check

Symptoms: ad sets in the same campaign chronically `Learning Limited`, underspending budget, or showing erratic delivery.

**Causes:** Overlapping audiences within the same ad account / Page mean only one of your ads enters each auction (Meta picks the highest-value one; the others are excluded — you don't bid against yourself, but the suppressed ad sets can't learn).

**Action:**
- Run Account Overview → Opportunity Score for explicit overlap flags
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