AdspirerInstall

Summary

Analyze TikTok advertising spend data for a specified advertiser to identify wasted spend and provide optimization insights, optionally including creative fatigue analysis.

Inputs

• advertiser_id (required) — TikTok advertiser ID identifying the account to analyze.
• start_date — Start date for the analysis period in YYYY-MM-DD format.
• end_date — End date for the analysis period in YYYY-MM-DD format.
• lookback_days — Number of past days to include in the analysis (e.g., 7, 30, 60, 90, 120); numeric value as string.
• include_fatigue — Boolean flag to include creative fatigue analysis in the report; defaults to true.
• raw_data — Boolean flag to return only raw metrics as a JSON code block; excludes severity labels, bid or budget suggestions, benchmarks, and recommendations; defaults to false.
• target_roas — Optional numeric override (as string) for target Return On Ad Spend (ROAS), e.g., '3.0'.

Output shape

a single JSON object containing analyzed TikTok ad spend metrics and recommendations or, if raw_data is true, only raw metrics without interpretative labels or suggestions.

If 'raw_data' input is true, the output excludes severity labels, suggested bids or budgets, industry benchmarks, and optimization recommendations, showing only raw metrics formatted as a JSON code block.

Links

• n8n community nodes installation guide