Automated Rules

Automated rules: scaling optimisation safely

Automated rules are “if this, then that” actions used in ad platforms and analytics tools - for example, pausing a keyword if CPA exceeds a threshold, increasing budget if ROAS stays strong, or notifying you when spend spikes. They reduce manual work and improve response time, but they can also cause damage if thresholds are poorly set.

Good rule patterns

• Alerts first: notify before you automate high-impact changes.
• Use time windows: base decisions on 7-14 days, not single-day noise.
• Guardrails: cap budget changes and require multiple conditions (CPA + volume).

Common mistakes

• Rules firing on low data volume (false positives).
• Conflicting rules fighting each other (budget up/down loops).
• Automating around broken tracking (optimising to the wrong signal).

The safest approach is staged automation: start with monitoring and alerts, then automate simple, reversible actions, and only then expand to budgets and bids once tracking is trusted.