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wants to understand a performance drop/spike, or says something like “My LinkedIn leads dropped 40%, why?” Explains significant metric changes with contributing factors: LinkedIn-Specific Factors Analyzed:
  • CPM changes (auction dynamics, competition)
  • CTR changes (creative effectiveness)
  • Audience saturation (B2B pools are smaller)
  • Seniority targeting shifts
  • Industry performance shifts
  • Company size targeting changes
  • Campaign changes (paused, new, budget)
  • B2B seasonal patterns (holidays, fiscal quarters)
  • Creative fatigue (14-day threshold)
Returns:
  • Metric change summary (current vs previous)
  • Severity assessment (CRITICAL, HIGH, MEDIUM, LOW)
  • Contributing factors ranked by impact
  • Historical context (30/60/90 day averages)
  • Similar periods for comparison
  • Actionable recommendations
  • LinkedIn B2B-specific insights
Parameters:
  • metric: Metric to analyze (required). Options: roas, ctr, cpc, cpm, conversions, conversion_rate, leads, engagement_rate, lead_form_completion_rate
  • period_start: Start date (YYYY-MM-DD format, required)
  • period_end: End date (YYYY-MM-DD format, required)
  • comparison_period_start: Optional comparison start date
  • comparison_period_end: Optional comparison end date
  • ad_account_id: Required for multi-account users. Get from list_connected_accounts
Example Prompts:
  • “Why did my LinkedIn ROAS drop last week?”
  • “Explain the LinkedIn CTR decline in December”
  • “My LinkedIn leads dropped 40%, what happened?”
  • “Why did LinkedIn CPC increase?”
Execution time: 4-6 seconds

OpenAPI

/api-reference/openapi.json post /api/v1/tools/explain_linkedin_anomaly/execute