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Meta Ads Audience Analysis

by @elias-didoo

[Didoo AI] Analyzes Meta Ads audience efficiency across audience types, overlap, demographics, and budget allocation. Use when reviewing targeting strategy,...

TERMINAL
clawhub install meta-ads-audience-analysis

πŸ“– About This Skill


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 metadata: { "openclaw": { "requires": { "env": ["META_ACCESS_TOKEN", "META_AD_ACCOUNT_ID"] }, }, }

Required Credentials

| Credential | Where to Get | Used For | OAuth Scope | |-----------|-------------|---------|-------------| | META_ACCESS_TOKEN | Meta Developer Console β†’ Graph API Explorer β†’ 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 | β€” |

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 β€” 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 Γ— 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 β†’ Consolidate
  • Overlap > 50% β†’ Exclude one
  • Different audiences with same LAL source β†’ 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 β†’ Exclude
  • Stories vs Feed efficiency gap > 30% β†’ Reduce lower performer
  • Reels growing but underallocated β†’ 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 β€” recommendations route to meta-ads-recommendation

  • Session Context β€” 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% β€” consolidate" |

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

    ⚑ When to Use

    TriggerAction
    Run standalone or after `meta-ads-weekly-performance` identifies audience-related issues.
    ---

    πŸ”’ Constraints

  • 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 β€” recommendations route to meta-ads-recommendation