Catch drifts before they cost you
Real-time ML monitoring on every campaign. Alerts in under 1h with automatic root-cause analysis. Stop finding out about issues 3 days late.
Free audit · no credit card · 2 minutes
What you can't see will cost you
Drifts happen at night, on weekends, during your holidays. Google doesn't warn you.
A runaway broad keyword burns 3k€ overnight
A viral query on a broad-match keyword can quintuple your impression share in 4 hours. If nobody looks until Monday, that's three days of budget torched on an irrelevant query.
Conversion tracking quietly breaks
A site release breaks the Google Ads tag. You find out 10 days later when the monthly reports land. Meanwhile Smart Bidding optimized against 0 conversions — CPA multiplied by 4.
Google's native alerts are unusable
They arrive after the fact, no custom thresholds, no diagnosis. Everyone ends up muting them. You're left without a safety net.
Detection logic
Not naive rules like « CPA > 2× target ». Statistical models that learn your baseline.
Baseline per KPI × segment
For every (campaign × KPI × day of week × hour), the AI builds a baseline with a 28-day moving average plus expected variance. Example: a campaign's CPA baseline differs Monday morning vs Sunday night.
Detect > 2σ deviations with persistence
A one-off spike isn't an anomaly. To alert, we require 2 standard deviations over 3 consecutive points — avoids false positives. Per-alert threshold (stricter or looser) is configurable.
Plain-text root-cause analysis
The moment an anomaly fires, the AI correlates it with recent changes: keywords added, bid edits, ad updates, external events (news, bank holiday). Diagnosis lands in the alert: « CPA jumped 40% since 2pm — strong correlation with the broad keyword `insurance` added at 12:30pm. »
Multi-channel alert + proposed action
Alerts arrive via email, webhook, and the dashboard. Every alert includes a 1-click corrective action (e.g. « Pause keyword `insurance` ») you can apply immediately.
Concrete impact
Reaction in under 1h
Where a human spots drifts in 24-72h, the AI catches them in under an hour.
Budget saved on drifts
Across our client base, average savings of 2-4% of total budget per quarter purely from fast detection.
Root-cause, no investigation
You get the diagnosis, not just the symptom. No more 30-minute hunts to find what broke.
8 alert types, all configurable
Budget drift, conversion drop, CPA spike, ROAS drop, unexpected top-spend keyword, offline campaign, OAuth error, pending critical recommendation.
End of Monday fire drills
You arrive on Monday with the weekend's issues already flagged (and often fixed if you enabled auto-fix on low-sensitivity tiers).
Calmer client relationships
For agencies: you catch drifts BEFORE the client. Power dynamic flips — you're proactive, not reactive.
Manual vs SteerAds
Who it's built for
This feature serves very different profiles. Here's how each uses it.
Go on holiday without stress
Leaving for 2 weeks? Before: stressing all week. Now: alerts ping only if something needs you (rare) — otherwise everything's fine and you enjoy.
Catch it before the client calls
On 30 clients, one always panic-calls on a Wednesday morning. With detection, you know Tuesday night, you diagnosed by 11pm, you reply Wednesday morning with a plan.
Alerts routed to the right roles
Budget thresholds > 5k€ → auto-escalation to directors. Technical drifts (broken tracking) → Tech team. Business drifts → Marketing. Alert workflow mapped to your org.
Frequently asked questions
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