Ad Monitoring AI Agent | DI Consulting

How ad monitoring usually works

Pretty much every company running paid ads has the same routine.

Marketer opens 5-10 tabs every morning: Facebook Ads Manager, Google Ads, analytics platform, CRM. Manually checks metrics for each campaign, each ad set, each creative.

If something goes wrong — they find out 6-8 hours later. Sometimes the next day.

Result:
Burned budget. Dropped conversion. Lost sales.

And look — this happens even with professional marketers. Humans just can't be online 24/7 tracking dozens of metrics simultaneously. It's not about skill. It's about bandwidth.

What the AI agent does

Here's the thing — it's actually pretty straightforward.

1

Data collection

Agent scans all your ad accounts daily (or hourly — you choose). Facebook, Google, any platform with API access.

2

Analytics integration

Now here's where it gets useful. Agent connects to your analytics system. So it sees not just clicks and impressions — it sees the full picture: actual leads, conversions, sales. Cost per lead. ROI. Real numbers that matter.

3

Analysis

System knows your normal ranges. You set them once:

CPC above $2 → flag
CTR below 1.5% → flag
Lead conversion drops 20% → critical alert

Or the system can learn your baselines automatically from historical data.

4

Alerts

Something goes outside the range — agent sends an alert. SMS, WhatsApp, Telegram, Slack, email — whatever works for you. Set it up once, forget about it.

5

Reports

Beyond alerts, agent generates daily reports. Marketer opens one doc and sees: what's good, what needs attention, where the anomalies are.

No more tab-switching. No more manual data compilation.

N8N Ad Monitoring Workflow - Data collection from Facebook and Google Ads — Automated workflow that collects campaign data from multiple ad platforms

What you actually get

Before:

Marketer spends 1-2 hours every morning manually checking campaigns. Finds problems with delay. Budget leaks.

After:

✓
Agent checks everything in 5 minutes
✓
Marketer gets ready report
✓
Critical issues → real-time alert
✓
Time on routine: 1-2 hours → 10-15 minutes

Specific example:

One of our clients launched 15 campaigns simultaneously. Agent caught one where cost per lead jumped 3x — 40 minutes after launch. Marketer paused the campaign, saved $3,000 in one day.

Not a hypothetical. Actual numbers from a client running e-commerce ads.

Ad Campaign Monitoring Dashboard with performance metrics and critical alerts — Real-time dashboard showing campaign performance, alerts, and anomaly detection

Critical campaign alert sent via messenger showing cost per lead spike — Instant alert when campaign metrics go outside normal ranges

Requirements

For the agent to work, we need:

From you:

API access to ad accounts (Facebook, Google, etc.)
Access to your analytics system or ability to integrate
Your "normal ranges" (or we'll determine them together based on your history)

From us:

Integration setup — 1-2 weeks
Team training on working with reports
First 2 weeks — test mode with manual alert verification

Timeline: 2-4 weeks from kickoff to full deployment

Cost: Development hours + performance bonus tied to results. We'll agree on specifics before starting.

As long as you can give us access and describe what you're tracking — we can build it.

Want this for your ads?

Look, ad monitoring agent isn't magic. It's automation of what your marketer already does manually.

Difference: agent does it faster, without errors, and doesn't sleep.

Let's look at your processes. Maybe you don't even need this agent. Maybe it'll pay for itself in the first month. Either way — worth a conversation.

Book $300 AI Audit

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