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Adspirer

Manage ad campaigns across Google, Meta, LinkedIn & TikTok Ads via the Adspirer REST API

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Analyze Meta Wasted Spend

AI-generated

Summary

Analyze wasted advertising spend on Meta Ads by evaluating performance data over specified date ranges, including optional creative fatigue and placement analysis, to identify inefficiencies.

Inputs

  • Ad Account Id (required) — The Meta Ad Account ID to analyze.
  • Date Range — Preset date range to analyze, such as 'last_7_days', 'last_14_days', 'last_30_days', 'last_60_days', or 'last_90_days'.
  • Start Date — Custom start date (YYYY-MM-DD) for analysis.
  • End Date — Custom end date (YYYY-MM-DD) for analysis.
  • Lookback Days — Number of past days to analyze (7, 30, 60, 90, or 120). Leaving blank omits this filter.
  • Include Fatigue — Whether to include creative fatigue analysis (true/false, default true).
  • Include Placements — Whether to include placement-level analysis across formats like Feed, Stories, Reels (true/false, default true).
  • Raw Data — If true, returns only raw performance metrics as JSON (spend, clicks, impressions, conversions, CPA, CPC, CTR, CVR, ROAS by campaign/ad/date) instead of summary analysis.
  • Target Roas — Optional override for target ROAS multiplier (e.g., 3.0 for 3x ROAS) to adjust analysis criteria.

Output shape

a single JSON object containing the analysis report or raw metrics as specified

Output format depends on 'Raw Data' parameter: if true, returns raw metrics JSON code block; otherwise returns a structured analysis including wasted spend insights. The operation supports only the 'Meta Ads' platform for this analysis.

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