📄 中文摘要
手动导出 CSV 文件以分析广告表现的时代已经结束。对于管理 Meta 广告活动的营销人员来说，传统的流程包括导出性能数据、打开电子表格、手动计算广告集的 ROAS、分析频率数据以判断创意是否疲劳、调整预算并等待结果。这一过程虽然有效，但速度慢、反应迟缓，完全依赖于个人查看数据的时间，导致在发现创意效果下降或预算流失时已经造成损失。现在，结合 Claude AI 和 Meta Ads MCP 服务器的技术，使得营销人员能够更高效地管理广告活动，实时监控和优化广告表现，避免资金浪费。
📄 English Summary
How to Automate Meta Ads with Claude AI and MCP — Real Workflows, Real Results
The era of manually exporting CSV files to analyze ad performance is over. For marketers managing Meta advertising campaigns, the traditional process involves exporting performance data, opening spreadsheets, manually calculating ROAS by ad set, and analyzing frequency data to judge creative fatigue. This process, while effective, is slow, reactive, and entirely dependent on when one has time to review the data, resulting in losses when creative performance declines or budgets leak into non-converting audiences. The integration of Claude AI and the Meta Ads MCP server is changing this landscape, enabling marketers to manage ad campaigns more efficiently, monitor performance in real-time, and optimize their strategies to prevent wasted spending.