Activitygrew

Activitygrew is a term used in data analytics to describe the rate of growth in activity within a digital system, such as a website or app. It is not a standardized metric but a conceptual gauge that combines changes in the number of active participants with changes in the intensity of their activity to reflect overall platform vitality.

It aims to capture growth dynamics that raw user growth or engagement metrics alone may miss. It can be treated as a composite index, for example a weighted sum of relative changes in daily active users (ΔDAU/DAU) and in engagement (ΔEngagement/Engagement). Weights reflect strategic priorities.

A simple implementation uses Activitygrew = α*(ΔDAU/DAU) + (1−α)*(ΔEngagement/Engagement). Engagement can be metrics such as actions per user or time spent. The metric is directional and scale-sensitive, and should be compared within similar cohorts and timeframes.

Analysts use activitygrew to track platform momentum, compare experiments, and inform short-term forecasting of retention or revenue. It is usually displayed alongside KPIs like DAU, MAU, retention, and ARPU.

Limitations: Blending metrics can obscure underlying trends if data definitions change or engagement is noisy. Seasonality, churn, and cohort effects can distort the indicator, requiring normalization and clear documentation.

See also: growth rate, DAU/MAU growth, engagement rate, product analytics, cohort analysis.

History: The term appears in informal analytics discussions and is not part of a standardized framework; its definition and formula vary by organization.