GlossaryLearn about analytics, product, and technical terms

Glossary Learn about analytics, product, and technical terms and get their definitions in our Glossary. Table of Contents All Terms Abandonment rate A/B Testing Activation rate Active user growth Ad hoc analysis Adoption rate Analytics Anomaly detection Application programming interfaces App metrics Attribution modeling Audience segmentation Average order value (AOV) Average revenue per user Behavioral analytics Behavioral cohorting Benchmarking Bounce rate Button click Cart abandonment Causality analysis Channel attribution Churn Churn rate Clickstream data Click-through rate Cluster analysis Compound annual growth rate Conversions Conversion attribution Conversion funnel Conversion rate Correlation coefficient Cost per acquisition Customer acquisition cost Customer experience (CX) Customer journey mapping Customer lifetime value (CLV) Customer retention rate Daily active users (DAU) Data cleansing Data enrichment Data integration Data mining Data normalization Data pipeline Data sampling Data scrubbing Data transformation Data visualization Deep linking Descriptive analytics Diagnostic analytics Drill-down analysis Drop-off rate Dynamic segmentation Engagement metrics Event segmentation Event taxonomy Experiment design Exploratory data analysis Experimentation Feature adoption Feature usage File download Forecasting Form submitted Funnel analysis Go to market strategy Heuristic analysis Hypothesis testing In-app messaging Key driver analysis K-means clustering Lagging indicators Leading indicators Lifecycle analysis Lifetime value Link clicks Log-level data Market basket analysis Marketing qualified lead (MQL) Mean absolute error Mobile analytics Monte carlo simulation Monthly active users (MAU) Multichannel attribution Multivariate analysis Navigation click Net promoter score Net retention rate Onboarding Operating expenses Outlier detection Page view Path analysis Predictive analysis Predictive analytics Predictive modeling Prescriptive analytics Product analytics Product features Product led growth (PLG) Product management Product roadmap Product strategy Qualitative data Real-time analytics Regression analysis Return on ad spend (ROAS) Revenue attribution Root cause analysis Sales qualified lead (SQL) Sentiment analysis Session duration Sessions SQL querying Statistical significance Survival analysis SWOT analysis Tag management Time series analysis Time to value Traffic sources Trigger-based messaging Universally unique identifier (UUID) User behavior analytics User engagement User feedback loop User flows User ID User onboarding User persona User properties User segmentation User stories Variance analysis Website analytics Weekly active users (WAU) Explore our Glossary of common terms in the analytics, product, and growth space. Learn their definitions and view examples. A Abandonment rate A/B testing Activation rate Active user growth Ad hoc analysis Adoption rate Analytics Anomaly detection Application programming interfaces App metrics Attribution modeling Audience segmentation Average order value (AOV) Average revenue per user B Behavioral analytics Behavioral cohorting Benchmarking Bounce rate Button click C Cart abandonment Causality analysis Channel attribution Churn Churn analysis Churn prediction Churn rate Clickstream data Click-through rate Cluster analysis Cohort retention Compound annual growth rate Conversions Conversion attribution Conversion funnel Conversion rate Correlation coefficient Cost per acquisition Customer acquisition cost Customer experience (CX) Customer journey mapping Customer lifetime value (CLV) Customer retention rate D Daily active users (DAU) Data cleansing Data enrichment Data integration Data mining Data normalization Data pipeline Data sampling Data scrubbing Data transformation Data visualization Deep linking Descriptive analytics Diagnostic analytics Drill-down analysis Drop-off rate Dynamic segmentation E Engagement metrics Event segmentation Event taxonomy Experiment design Exploratory data analysis Experimentation F Feature adoption Feature usage File download Fore