Marketing and agencies · Sample scenario
Alerts for unusual ad performance changes
Ad spend and results are checked against rules every day, and when an unusual change occurs the marketer receives an alert with an explanation.
Problem
Fast budget burn or a sharp drop in results is often noticed only days later, during the weekly review.
How it works today
Every morning the marketer opens several ad accounts one by one and compares the numbers by eye. With many campaigns some changes are missed, and on weekends no one checks.
What this scenario changes
Ad data is pulled regularly, and its freshness and volume are checked first. If the volume is sufficient, threshold rules are applied, the campaign is compared with its own previous period, and AI writes possible causes of the change as hypotheses. The alert goes to the marketer; no automatic change is made to the budget.
The process step by step
- Daily ad data: Scheduled check runs
- Freshness and volume checked: Is the data recent and sufficient?
- Is the volume sufficient?: Has the minimum conversion threshold been reached?
- Threshold rules: Spend and result thresholds applied
- Campaign comparison: Against the average of the previous 7 days
- Draft explanation: The change and likely causes
- Alert to the marketer: Numbers and explanation in the internal channel
Exception path
- Marketer keeps watch: A note without a firm conclusion
- Watch note: No alert, a monitoring note
The role of AI
Writes a short draft that explains the change caught by the rule in plain language and lists possible causes only as hypotheses.
Human approval and exceptions
If the data volume is low, the system draws no firm conclusion and only passes a “watch” note to the marketer. Only the marketer changes budget, bids or campaign status.
Frequently asked questions
Can the system cut the ad budget on its own?
No. The scenario only sends alerts; the marketer makes decisions about budget, bids and campaign status.
Is the cause written by AI accurate?
Causes are presented as hypotheses. The numbers come from the ad and analytics systems, while the explanation is an assumption to be checked.
How are thresholds set?
Thresholds are set together with you based on each campaign's goal and history, and can be changed later.