The shift is from attributes to actions: not "enterprise customers in Germany" but "accounts that invited a second user in week one". Behavior predicts what people will do next far better than firmographics do, which is why the event, not the profile field, is the unit of storage.
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- Active usersPeople who performed at least one qualifying action in a window. The window and the action are your definition, not an industry constant.
- AggregationRolling raw events into summaries. Fast, but only answers questions you asked in advance, which is why Countly keeps the raw events too.
- AI overviewA written summary of what changed in the data and why, generated from live events rather than from a monthly export.
- Anomaly detectionWatching metrics for values outside their normal range and raising them before someone notices in a weekly review.
- Behavioral cohortA group defined by actions taken, such as everyone who used a feature twice in their first week. Recomputed as the data arrives.
- Bounce rateThe share of sessions that end without a second meaningful interaction.