Configuring Revenue Anomaly Alerts
Detect unusual revenue spikes or drops that deviate from your normal pattern.
How anomaly detection works#
AskBiz learns your normal revenue pattern — daily, weekly, and seasonal baselines. When actual revenue deviates significantly from the expected value, the Anomaly Detection system flags it. A spike might indicate a successful promotion, a large order, or a data error. A drop might signal a lost customer, a competitor action, or a system problem. Both deserve investigation.
Configuring sensitivity#
Go to Alerts > Anomaly Settings. Set the sensitivity level — low (only extreme deviations), medium (moderate and extreme), or high (any notable deviation). Medium is the default and works well for most businesses. High sensitivity is useful during critical periods like product launches. Low sensitivity reduces noise for businesses with naturally volatile revenue.
Responding to anomalies#
When a revenue anomaly fires, the alert includes the expected value, the actual value, the percentage deviation, and the likely contributing factors. AskBiz analyses which products, branches, or channels drove the change. A spike from a single large order is different from a broad-based increase across all products — the alert distinguishes between the two.
Frequently Asked Questions
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