Freelance Media Buyers in Salé
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Hamza El hadri
Salé, Morocco
Meta Ads Specialist | $170k+ Managed | eCommerce & Lead-Gen
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Meta Ads Specialist | $170k+ Managed | eCommerce & Lead-Gen
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Managed Meta Ads for a fashion brand with $170k+ in total ad spend. Built and optimized multiple campaigns across Facebook and Instagram, achieving 25%+ average CTR on winning creatives. Daily monitoring, hook testing, and budget scaling from $20/day up to $80/day per ad set.
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Claude can now manage Meta Ads for you. Here's what that means for media buyers. Claude just dropped computer use it can see your screen, click buttons, and navigate interfaces. That means it can literally log into Meta Ads Manager and: Pause underperforming ad sets Scale winners 20% Pull performance reports Check creative fatigue I've been using AI in my Meta Ads workflow for months already. My take: this doesn't replace media buyers. It replaces bad media buyers. The ones who just follow basic rules and do repetitive tasks — yes, AI will do that. But the ones who understand why an ad is winning, what creative angle to test next, how to read an audience — that's still human judgment. AI is my tool. Not my replacement. The media buyers who win in 2026 are the ones who use AI better than everyone else. I'm already there. Are you?
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One ad set spent $169 today at a 3.4% CTR. I killed it before lunch. Another was at 20.9% CTR on $9 of spend — I left it alone. That's the whole job. Know which one to kill and which one to leave running. This week on one content creator account: 11 active ad sets, $393 spent today, average CTR across healthy sets sitting at 17–21%. Two paused, zero wasted overnight. Most brands don't have someone watching this daily. The algorithm doesn't pause bad ads — you have to. If you're spending $2k+ per month on Meta and nobody is checking your ad sets every day, you're leaving money on the table. DM me. I check accounts daily and tell you exactly what to cut and what to scale.
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Built a performance media buying process covering campaign launch, daily optimization checks, and data-driven scaling decisions. Framework includes creative testing, budget management, and weekly reporting — designed to maximize results for brands spending $2,000+/month on ads.
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