AdspirerInstall

Summary

Analyze anomalies in LinkedIn Ads metrics over a specified analysis period, optionally comparing them against a previous period, and return explanations or raw metric data.

Inputs

• Ad Account Id (required) — The LinkedIn Ad Account ID to analyze.
• Period Start (required) — Start date of the analysis period in YYYY-MM-DD format.
• Period End (required) — End date of the analysis period in YYYY-MM-DD format.
• Comparison Period Start — Optional start date of the comparison period in YYYY-MM-DD format for baseline comparison.
• Comparison Period End — Optional end date of the comparison period in YYYY-MM-DD format.
• Metric — The specific LinkedIn Ads metric to analyze for anomalies (default is 'ctr').
• Raw Data — If set to true, returns only raw metric data as a JSON code block without severity labels, benchmarks, or optimization suggestions.

Output shape

a JSON object containing explanations of anomalies detected in the specified metric and period, or raw metric data if requested

The output includes detailed anomaly explanations with severity labels, suggested bids/budgets, industry benchmarks, and optimization recommendations unless 'Raw Data' is true, in which case only raw metrics are returned.

Examples

Example 1: Analyze CTR metric anomalies for a LinkedIn Ad Account between 2024-01-01 and 2024-01-31 with a comparison to the previous month, returning detailed anomaly explanations.

Set 'Ad Account Id' to the LinkedIn account ID, 'Period Start' to '2024-01-01', 'Period End' to '2024-01-31', 'Comparison Period Start' and 'Comparison Period End' to reflect the prior month, and 'Metric' to 'ctr'. Leave 'Raw Data' as false or unset.

Links

• n8n community nodes installation guide