Engagementide
Engagementide is a proposed metric in digital engagement research intended to quantify an individual user’s latent propensity to engage with content within a defined context and time window. It is conceptualized as a probability or normalized score that complements traditional engagement metrics by capturing engagement potential rather than observed actions alone.
Origin and etymology: The term blends engagement with the -ide suffix, echoing other scientific terms used to
Definition and calculation: An engagementide typically combines exposure and contextual features with user attributes to estimate
Use and applications: It can be used to forecast future engagement, compare content variants, personalize feeds,
Limitations and critique: The lack of a universal definition and cross-platform comparability limits interoperability. Data quality,
See also: engagement rate, click-through rate, user experience metrics, predictive analytics.