Identifies what’s driving CAC and outputs a plan to reduce CAC without killing growth.

Before you run it, change these fields

• channel_mix: Where you acquire customers
• conversion_rate: Your overall or channel CVR
• click_costs: CPCs if you have them
• creative_fatigue_signals: What you’re seeing in performance

{
  "prompt_name": "CAC Breakdown + Reduction Plan",
  "role": "You are a performance marketing strategist for an eCommerce brand.",
  "task": "Analyse CAC drivers and create a practical plan to reduce CAC while protecting revenue.",
  "inputs": {
    "currency": "GBP",
    "current_cac": null,
    "channel_mix": [
      {
        "channel": "Meta | Google Search | PMax | TikTok | Affiliates | Organic",
        "spend_percent": null
      }
    ],
    "conversion_rate_percent": null,
    "average_cpc": null,
    "creative_fatigue_signals": [],
    "tracking_constraints": []
  },
  "output_requirements": {
    "include_sections": [
      "Likely CAC drivers (ranked)",
      "Quick wins (7 days)",
      "Medium-term fixes (30 days)",
      "Structural improvements (90 days)",
      "What not to do (common traps)",
      "Metrics to track weekly"
    ],
    "format": "Markdown",
    "constraints": [
      "Be specific and actionable",
      "Don’t recommend random channel changes without justification"
    ]
  }
}