Usage Intelligence
The Usage page in Analytics — Overview, Trends & forecast (linear-regression projection) and Anomalies (Z-score spike/drop detection) — plus usage-volume cohorts in MRR & Cohorts.
Usage Intelligence
When you need to spot abnormal consumption before a customer does, project where a metric is heading, or see which customers drive the most usage, open Intelligence → Analytics and pick the Usage card.
The Usage page has three views in a tab bar: Overview, Trends & forecast and Anomalies. Usage cohorts live in the MRR & Cohorts card: switch its cohort section from Revenue retention to Usage volume. All of them read your metered usage.
Older bookmarks still work. /analytics-usage-trends and /analytics-usage-anomalies open those views of the Usage page, /analytics-usage-cohorts opens MRR & Cohorts with Usage volume selected, and /advanced-analytics redirects to Anomalies.
Anomalies
Z-score spike/drop detection over a 90-day lookback (default threshold 2.5σ, 7-day rolling window). Each anomaly reports:
Trends & forecast
Historical trend plus a 30-day forward projection per metric, with the growth rate, daily growth rate, R² fit score, and a day-of-week seasonality index. The same view lists the top growing and top declining metrics so you can scan the whole catalog at once.
Usage cohorts
In MRR & Cohorts, set the cohort section to Usage volume to see usage variance across a chosen dimension, with a spread ratio (top vs bottom cohort multiplier):
Each cohort bucket reports customer count, total usage, and average / median / p95 per customer.
These views analyze metered usage patterns. For revenue retention by cohort, keep the MRR & Cohorts cohort section on Revenue retention. For the storefront visitor funnel, see Storefront Analytics; for cost/margin analytics, see COGS & Margins.