API Reference › Meta Ads › analyze_meta_catalog_performance

analyze_meta_catalog_performance

Meta Ads Read

User wants to analyze how their Advantage+ Catalog / Dynamic Product Ads are performing AT THE PRODUCT or PRODUCT-SET level

Endpoint

POST https://api.adspirer.ai/api/v1/tools/analyze_meta_catalog_performance/execute

Headers

Description

User wants to analyze how their Advantage+ Catalog / Dynamic Product Ads are performing AT THE PRODUCT or PRODUCT-SET level. Keywords: "which products are selling", "catalog performance", "best/worst products", "product ROAS", "product set performance", "which SKUs are wasting money". Breaks catalog performance down by PRODUCT and PRODUCT SET (the campaign-level perf tools can't do this). Returns: - Top products by catalog-attributed ROAS, and underperforming products (below target) - Products spending with ZERO conversions (the catalog waste signal) and zero-impression products - Per-product-set ROAS comparison + the funnel (views → carts → checkouts → purchases) - Units sold, and actionable recommendations (scale winners, exclude losers, shift budget between sets) Uses the same target-ROAS, severity and data-confidence conventions as the other performance tools. Reads cached nightly product metrics — if none exist yet, says so. When to use: "How are my catalog products doing?", "Which products should I scale or pause?", "What's my ROAS by product set?"

Request body

All tool arguments are wrapped in an arguments object.

FieldTypeDescription
lookback_daysinteger optionalDays to analyze: 7, 30, 60, 90, or 120 (default 30). default: 30
target_roasnumber optionalOptional target ROAS override (e.g. 3.0). Defaults to the account goal, else 90-day average, else 2.0x.
product_set_idstring optionalOptional product set ID to scope the analysis to one set.
start_datestring optionalStart date YYYY-MM-DD (overrides lookback_days with end_date).
end_datestring optionalEnd date YYYY-MM-DD (overrides lookback_days with start_date).
ad_account_idstring optionalMeta ad account ID. Required for multi-account users.

Example request

{
  "arguments": {
    "lookback_days": 30,
    "target_roas": 1.0,
    "product_set_id": "string",
    "start_date": "string",
    "end_date": "string",
    "ad_account_id": "string"
  }
}

Example responses

200 — Success

{
  "success": true,
  "data": {
    "text": "(tool-specific textual output for analyze_meta_catalog_performance)",
    "quota": {
      "used": 42,
      "limit": 150,
      "tier": "plus",
      "period_end": "2026-05-01"
    }
  },
  "tool": "analyze_meta_catalog_performance"
}

400 — Tool-level error (bad arguments / multi-account selection)

{
  "success": false,
  "error": "You have 25 meta_ads accounts connected. Please specify which account to use by passing the ad_account_id parameter:\n  - Acme Holdings (ad_account_id=\"act_123456789\")\n  - Acme EU (ad_account_id=\"act_987654321\")",
  "is_error": true,
  "tool": "analyze_meta_catalog_performance"
}

402 — Quota exhausted

{
  "success": false,
  "error": "\ud83d\udea8 Monthly limit reached (150/150 tool calls on Plus tier).\nUpgrade to Pro at https://adspirer.ai to keep building.",
  "is_error": true,
  "tool": "analyze_meta_catalog_performance",
  "quota": {
    "used": 150,
    "limit": 150,
    "tier": "plus",
    "period_end": "2026-05-01",
    "upgrade_url": "https://adspirer.ai"
  }
}

Try it live

Interactive: Swagger UI

Machine-readable: OpenAPI 3.1 spec · llms-full.txt

More tools: Meta Ads · All tools

Adspirer REST API — get an API key at adspirer.ai/keys · adspirer.ai