Meta Ads With AI

1. Confirm Business Manager access. Your ad account needs to be inside a Business Manager you control with admin access.
2. Create a dedicated system user. Business Settings → Users → System Users → Add. Don't use your personal Facebook login for this.
3. Assign the system user to your ad account. Set permissions: MANAGE (create/edit campaigns), ADVERTISE (ad buying), or ANALYZE (read-only reporting). Pick based on what you actually need.
4. Generate a token. Set it to never expire if you're automating. Store it somewhere secure. Never paste it in a shared doc.
5. Install Meta's CLI and authenticate with your token.
6. Test with read-only commands first. List your ad accounts. Pull insights for the last 7 days. Confirm everything before touching anything live.
7. Layer Claude Code on top. Claude Code can draft and run CLI commands for you in natural language. Ask it to pull a performance summary, generate a budget redistribution plan, or draft commands to pause every ad set with ROAS below 1.5.

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Start read-only

Before you touch anything that spends money, test with reporting first. Ask Claude to:

• List your active campaigns and show spend for the last 7 days
• Break down performance by campaign, sorted by ROAS
• Show every ad set with CPM above $15
• Pull yesterday's spend vs the 7-day average

Get comfortable with what comes back before you start making changes. This is the same operator instinct as testing a new automation in staging before pushing to production.

Prompts to run tonight

Performance:

"Show me my top 5 campaigns by ROAS over the last 30 days with spend, purchases, and cost per purchase. Which campaigns have declining CTR over the last 2 weeks. Compare video ads versus carousel ads this quarter."

Budget:

"Where should I reallocate budget based on last month's performance. Which campaigns are overspending with poor ROAS. Calculate my break-even ROAS by campaign."

Audiences:

"Which age groups convert best for my products. Show audience overlap between my top performing ad sets. Find interest targeting options related to my niche and estimate the audience size."

Creatives:

"Show me the creatives for my top-performing ads and suggest improvements. Which video creative has the highest engagement rate. Show me all ads with declining performance over the last 2 weeks."

That last creative-focused prompt is where this gets interesting. AI handles the diagnosis (what's working, what's dying) so your team focuses on the response (what to make next).

The golden rule for anything that spends money

Never let AI apply changes to live campaigns without you reviewing them first.

The workflow should always be: Claude suggests the action, you review the change, you approve the command, then the tool executes it. Meta's official MCP creates campaigns in PAUSED status by default for exactly this reason. Respect that default. The fastest way to lose trust in this stack is to wake up to a $4,000 spend on a campaign you never approved.

How to actually run this

This is what nobody else is talking about. Setting up the connector is the easy part. The hard part is restructuring how your team uses their time once the bookkeeping disappears.

What I'd run, on what cadence:

Daily (10 minutes): Quick performance scan via Claude. "Anything weird in the last 24 hours? Any ad sets dying? Any creative dropping below the 7-day average?" The answer is usually no. When it's yes, you act fast.

Weekly (30 minutes): Full performance review. ROAS by campaign, CTR by creative, audience overlap, declining ad sets. Claude pulls the full picture, you decide what to pause, what to scale, what to test. The conversation replaces what used to be a 3-hour reporting session.

Monthly (1-2 hours): Strategic review. Budget reallocation across the whole account, audience refresh, creative refresh briefs. This is where humans should be spending the time, not on data pulls, on decisions.

Per creative cycle: Brief, ship, measure. The faster the loop, the better. AI handling reports means your team's creative cycle isn't bottlenecked by reporting time anymore. You should be able to ship more creative variations per month than you ever have before.

Common problems and fixes

• Can't see your ad account. Your system user isn't assigned to it. Business Settings → System Users → assign the right assets.
• Token doesn't work. Generated for the wrong user or wrong permissions. Regenerate with the correct system user and scope.
• Claude can read your data but can't make changes. Token only has ANALYZE permission. Update to include ADVERTISE or MANAGE.
• Meta's setup interface looks different from this guide. Meta updates the UI constantly. Core flow stays the same: Business Manager → System User → Token → Permissions → Connect.

What this changes

Media buying used to be a craft made up of two distinct skills: creative judgment and operational discipline. Most agencies built their teams around the assumption that one person had to do both.

That assumption is now broken. AI does the operational layer better than humans do — faster, more consistent, never forgets to check the weekend report. The only thing humans bring to the table that AI doesn't is creative judgment: what to make, what hook to test, what the brand actually stands for, what story moves the customer.

If your team is still spending half their week on the operational layer, you're paying creative people to do bookkeeping. The teams that figure this out first are going to ship more creative, test more hooks, and learn faster than the teams stuck in the old workflow.

The point isn't that AI makes ads easier. It's that AI gives your team back the time to do the only work that ever mattered.