The definition does the work. Counting anyone who opened the app flatters the number; counting anyone who completed a meaningful action is harder to game and harder to compare with competitors. Whichever you choose, write it down, because it will be quoted in board decks for years.
More in Analytics
- 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 analyticsAnalysis of what people actually did in the product (events in sequence) rather than of who they are on paper.
- 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.