---
name: meta-ads-audience-analysis
description: "[Didoo AI] Analyzes Meta Ads audience efficiency across audience types, overlap, demographics, and budget allocation. Use when reviewing targeting strategy, planning audience expansion or narrowing, or auditing budget distribution across audience segments."
homepage: https://didoo.ai/blog
---

## Required Credentials
| Credential | Where to Get | Used For | OAuth Scope |
|-----------|-------------|---------|-------------|
| META_ACCESS_TOKEN | Meta Developer Console → Graph API Explorer → Generate Token | Fetching audience breakdown and overlap data | `ads_read` (read-only) |
| META_AD_ACCOUNT_ID | Ads Manager URL: `adsmanager.facebook.com/act_XXXXXXXXX` | Identifying which account to query | — |

## When to Use
Before launching new campaigns, during quarterly planning, or when a campaign is underperforming and audience mismatch is suspected.
Run standalone or after `meta-ads-weekly-performance` identifies audience-related issues.

---

## Requirements
- account_id (required)
- campaign_id (optional — defaults to all campaigns)
- date_range: last_30d (default)

---

## Step 1: Fetch Audience Data
Pull data broken down by audience dimension:

### Audience Type Performance (via breakdown by audience_type)
- Lookalike, Custom, Broad, Interest, Retargeting
- Spend, CTR, CPA, ROAS for each

### Audience Overlap (via Meta's overlap analysis tool)
- Pairs of overlapping audiences
- Overlap percentage, combined spend, ROAS

### Demographic Breakdown (via breakdown by age and gender)
- Age × Gender cells
- Spend, conversions, CPA, ROAS

### Placement Breakdown
- Feed, Stories, Reels, Instant Articles, Audience Network, Messenger
- CTR, CVR, CPA, ROAS for each

---

## Step 2: Audience Type Efficiency
| Audience Type | Spend | % of Budget | CTR | CPA | ROAS | Budget Should Be |
|--------------|------|------------|-----|-----|------|------------------|
|              |      |            |     |     |      |                  |

Identify:
- Which audience type delivers best ROAS
- Which is over/underallocated relative to efficiency
- Lookalike quality (which LAL layers performing)

---

## Step 3: Audience Overlap Analysis
| Audience Name | Overlaps With | Overlap % | Combined Spend | ROAS | Action |
|---------------|---------------|-----------|-----------------|------|--------|
|               |               |           |                 |      | Consolidate / Exclude / Separate / Monitor |

Flag:
- Overlap > 30% with high combined spend → Consolidate
- Overlap > 50% → Exclude one
- Different audiences with same LAL source → Separate

---

## Step 4: Demographic Deep Dive
| Age and Gender | Spend | Conversions | CPA | ROAS | Action |
|-----------------|------|-------------|-----|------|--------|
|                 |      |             |     |      | Increase Bid / Decrease Bid / Exclude / Maintain |

Identify:
- Highest and lowest ROAS demographic cells
- Unexpected performance by gender or age
- Bid adjustment opportunities

---

## Step 5: Placement Breakdown
| Placement | Spend | % of Budget | CTR | CVR | CPA | ROAS | Action |
|-----------|------|------------|-----|-----|-----|------|--------|
|           |      |            |     |     |     |      | Scale / Maintain / Reduce / Exclude |

Flag:
- Audience Network with low ROAS → Exclude
- Stories vs Feed efficiency gap > 30% → Reduce lower performer
- Reels growing but underallocated → Scale

---

## Step 6: Budget Reallocation Plan
| From Audience/Placement | To Audience/Placement | Shift Amount | Expected ROAS Impact | Revenue Impact | Priority |
|---------------------------|-------------------------|---------------|-----------------------|-----------------|----------|
|                           |                         |               |                       |                 | High / Medium / Low |

Prioritize moves by:
1. Highest ROAS differential
2. Enough data to trust the signal (minimum 50 results per segment)
3. Realistic shift amounts (don't move more than 20% at once)

---

## Step 7: Output Format
### SECTION 1: Audience Type Efficiency
2–3 audience type issues in problem/solution format.

### SECTION 2: Audience Overlap and Waste
2 overlap issues in problem/solution format.

### SECTION 3: Placement Breakdown
2 placement issues in problem/solution format.

### SECTION 4: Demographic Deep Dive
2–3 demographic issues in problem/solution format.

### SECTION 5: Budget Reallocation Plan
1–2 reallocation strategy issues in problem/solution format.

---

## Rules
- No executive summary
- Minimum 50 results per segment before drawing conclusions on any audience slice
- Action must be specific: "Increase bid 20% on Women 25-34" not "adjust demographics"
- This is analysis only — recommendations route to `meta-ads-recommendation`

---

## Session Context — What This Skill Writes

After completing analysis, store the following in session context:

| Key | Description | Example |
|-----|-------------|---------|
| budget_reallocation_plan | Specific shifts between audience segments | "$200/day from Broad to LAL 1% Women 25-34" |
| audience_issues | Overlap, waste, or misallocation findings | "Audience A overlaps with B by 41% — consolidate" |

> meta-ads-recommendation reads these keys to produce the audience action plan.


---
Source attribution: elias-didoo
Original project: https://github.com/elias-didoo/didoo-marketing-suite/blob/70c89f2304d4360f553768e2b2626c4b319caa58/meta-ads-skills/analysis/meta-ads-audience-analysis/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

# MIT License

Copyright (c) 2026 Didoo AI

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

---

## Trademark Notice

"Didoo AI" and the Didoo AI logo are trademarks of Didoo AI. This license
does not grant permission to use the "Didoo AI" name, trademark, or product
name for commercial or promotional purposes without prior written consent.
Distributing skills or derivatives claiming to be "official" Didoo AI
integrations is prohibited.


# Dave AI resource metadata

Creator / publisher: elias-didoo
Original project: https://github.com/elias-didoo/didoo-marketing-suite/blob/70c89f2304d4360f553768e2b2626c4b319caa58/meta-ads-skills/analysis/meta-ads-audience-analysis/SKILL.md
Attribution basis: Source repository record

Fields of work: Marketing
Roles: Advertising Specialist, Growth Marketer, Marketing Analyst, Product Marketer
Specialties: API, Frontend
Tools: Meta Ads
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 2d0de68e717cd763766b5dd5942bd39bfc75b6ac9d79e16ee5beac9448fd39a1
