Performance marketer with 6+ years of experience.
Managed $25M+ in ad spend.
Worked on 50+ products.
Writing about paid growth, creatives, funnels, testing, and scaling.
No fluff. Only practical insights.
Meta Ads reporting broke for 3 days. AI saved me in 3 minutes.
Last week, Meta Ads reports were not working properly, right when I urgently needed to export campaign data.
Instead of waiting or doing manual workarounds, I used Codex connected to Meta Ads via MCP.
I simply described what data I needed, specified the export format, and got the file in ~3 minutes.
No dashboards.
No scripts.
No painful workarounds.
Just a clear request → export done.
This is where AI actually feels useful in performance marketing:
Not replacing expertise.
Not “magic strategy.”
Just removing operational friction when the tools you rely on suddenly break.
Connected Claude to Meta Ads.
Expected: AI analyst across all projects.
Reality: messy exports, missed context, weak analysis.
Lesson: AI is not a magic button.
Without clean data, clear KPIs, and logic, it’s just a confident intern with API access.
#performancemarketing
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