Use case

Catch problems before your clients do.

Manual monitoring doesn’t scale past 10 accounts. Automated rules watch every metric, 24/7, and alert your team before small issues become expensive mistakes.

The cost of manual monitoring

Every missed issue has a price tag.

💸

Budget blown by noon

€200–500/incident

A campaign burns through its daily budget before 2pm. By the time you check, half the day's spend is wasted on a single ad group.

📈

CPA spikes unnoticed

€500–2,000/incident

Cost per acquisition doubles over a weekend. Nobody catches it until the Monday dashboard review — 3 days of overspend.

🚫

Ads disapproved silently

Lost impressions + trust

Google disapproves an ad. Impressions drop to zero. The client notices before your team does.

📉

Quality score drops

€300–1,000/month

A landing page goes down or slows. Quality scores tank. CPCs rise 30–50% before anyone notices.

How it works

Rules that watch while you sleep.

Define conditions on any metric. Set severity levels. Choose actions: alert, create task, pause, or fire a webhook. Rules run across all accounts simultaneously.

30+ metrics: CPA, ROAS, QS, budget pacing, impression share
Cross-account: one rule monitors all clients
Three tiers: automatic, approve, or alert-only
Active rules · 5 configured
budget_consumed > 90%before 2pmwarning
CPA > target × 1.25last 3 dayscritical
ad.status = disapprovedreal-timecritical
quality_score < 5daily checkwarning
conversions = 0 & cost > €50last 7 dayscritical
ROI calculator

How much would automated monitoring save?

Estimate the money saved by catching budget overruns, CPA spikes, and wasted spend before they compound.

Monitoring Savings
money saved from catching issues
20
5100
3,000
50020,000
2
05
300
501,000
Your savings
€12,000
saved / month
20.0%
of total ad spend
€144,000
saved / year
40
incidents caught / month

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without the chaos?

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