How can broken logic cause deliverability issues?
Automation logic failures create direct deliverability consequences:
Loop errors:
Automation cycles that trigger themselves repeatedly. Sends multiply geometrically until stopped. Massive volume spikes trigger ISP blocks.
Duplicate sends:
Same message sent multiple times to same recipient. Recipients complain or unsubscribe. Looks like system malfunction (which it is).
Wrong recipients:
Faulty conditions send to unintended audiences. Messages reach people with no relationship to trigger. Complaints spike from confused recipients.
Missing suppressions:
Unsubscribes, bounces, or complaints not properly excluded. Sending to suppressed addresses damages reputation and risks legal issues.
Volume anomalies:
Logic errors causing unexpected volume patterns. Triggers firing too frequently or never at all. Inconsistent patterns confuse ISP reputation systems.
Automation executes logic exactly as written. If the logic is wrong, the automation faithfully executes wrong behavior at scale.
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