Marketing analytics is pivoting from dashboards to agentic, closed-loop systems: brands spending ~$2M+/mo are adopting AI ad analyzers and AI-native automation that trigger, personalize, and iterate in real time (e.g., RL-tuned copy lifted Facebook CTR by 6.7%). The practical playbook favors structured context over hype—build a per-customer JSON profile, connect it to channels, and let a small team of specialists + agents run continuous tests—while experts warn the edge comes from data plumbing, governance, and actionability (not just “AI marketers”) amid workforce-efficiency pressures.
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Fund Managers Embrace GenAI to Improve Marketing Campaigns https://t.co/TY2pF5rDLF @SGAnalytics @FintechCH