Analytics & Measurement Glossary
Event tracking, funnel analysis, cohort analysis, experimentation frameworks, and building a culture of data-driven decisions.
Anomaly Detection Analytics
The automated identification of unusual patterns, unexpected changes, and statistical outliers in metrics data, using machine learning to flag deviations that require investigation without relying on manual monitoring.
Attribution Analytics
The analytical practice of determining which marketing touchpoints, channels, and campaigns contributed to conversions, using models that range from simple last-click rules to sophisticated multi-touch algorithmic approaches.
Bayesian A/B Testing
An experimentation methodology that uses Bayesian statistics to calculate the probability that each variant is best and the expected magnitude of differences, providing more intuitive and decision-friendly results than frequentist approaches.
Behavioral Analytics
The analysis of user actions, patterns, and sequences within digital products to understand motivations, predict future behavior, and optimize experiences based on how users actually behave rather than what they report.
Bounce Rate
The percentage of visitors who leave a website after viewing only a single page without taking any further action, indicating potential issues with content relevance, page quality, or user experience.
Cohort Analysis
A technique that groups users by a shared characteristic or experience within a defined time period and tracks their behavior over subsequent periods, revealing how user behavior evolves and differs across groups.
Conversion Rate Analytics
The systematic measurement and analysis of the percentage of users who complete a desired action out of the total who had the opportunity, applied across multiple conversion points throughout the user journey.
Counter-Metrics
Metrics that are intentionally tracked alongside primary optimization targets to detect unintended negative consequences of optimization, ensuring that improvements in one area do not come at the expense of another.
Custom Dashboard
A purpose-built visual display that aggregates key metrics, charts, and data views relevant to a specific team, role, or business objective, providing at-a-glance monitoring and actionable insight without manual report generation.
Data Democratization
The practice of making data and analytics tools accessible to all team members regardless of technical skill level, empowering non-technical stakeholders to explore data and make data-informed decisions independently.
Data Visualization
The graphical representation of data and metrics using charts, graphs, maps, and other visual elements to communicate patterns, trends, and insights more effectively than raw numbers or tables.
DAU/MAU Ratio
The ratio of daily active users to monthly active users, expressing what percentage of monthly users engage on any given day. A higher ratio indicates stickier product engagement and stronger habitual usage patterns.
Drop-Off Rate
The percentage of users who leave a process or sequence at a specific step without completing the next step, the inverse of step-level conversion rate, used to identify friction points in user flows.
Embedded Analytics
The integration of analytics capabilities, dashboards, and data visualizations directly within a product or application, providing users with data insights in context without requiring them to switch to a separate analytics tool.
Event Taxonomy
A structured naming convention and classification system for analytics events that ensures consistency, discoverability, and usability of tracking data across teams, platforms, and analysis tools.
Event Tracking
The practice of recording specific user interactions within a digital product, such as clicks, form submissions, page views, and feature usage, as structured data events that can be analyzed to understand user behavior.
Experimentation Platform
A software system that manages the full lifecycle of A/B tests and experiments, including experiment design, traffic allocation, variant assignment, metric collection, statistical analysis, and result reporting.
Form Analytics
The detailed analysis of how users interact with web forms, tracking field-level metrics like completion time, error rates, abandonment points, and hesitation patterns to identify and resolve friction in data collection flows.
Funnel Analysis
The process of tracking and measuring user progression through a defined sequence of steps toward a conversion goal, identifying where users drop off and quantifying the conversion rate between each stage.
Guardrail Metrics
A set of critical metrics that must remain within acceptable thresholds during any experiment or optimization effort, providing safety boundaries that prevent changes from degrading core aspects of the user experience.
Heatmap
A visual representation of user interaction data on a webpage or app screen, using color intensity to show where users click, move their cursor, scroll, and focus their attention, revealing actual usage patterns.
Input Metrics
Metrics that measure the activities and actions teams directly control, such as features shipped, experiments run, or campaigns launched, representing the effort and execution that should drive output metric improvements.
KPI Framework
A structured system for defining, organizing, and relating key performance indicators across an organization, establishing clear hierarchies from company-level objectives to team-level metrics and individual contributor goals.
Lagging Indicator
A metric that reflects outcomes that have already occurred, such as revenue, retention rate, or customer lifetime value, providing definitive measurement of past performance but limited ability to influence future results.
Leading Indicator
A metric that changes before a corresponding lagging outcome metric, providing early signal of future performance and enabling proactive intervention before results materialize in business outcomes.
Metric Decomposition
The analytical technique of breaking down an aggregate metric into its component parts to identify which specific factors are driving changes, enabling precise diagnosis of metric movements and targeted optimization.
Metrics Tree
A hierarchical decomposition of a top-level business metric into its constituent sub-metrics and drivers, showing the mathematical and logical relationships that explain how component metrics combine to produce overall outcomes.
Minimum Detectable Effect
The smallest improvement in a metric that an experiment is designed to reliably detect with a given level of statistical power and significance, determining the practical sensitivity of the test.
Mobile Analytics
The measurement and analysis of user behavior within mobile applications, tracking app installs, session activity, feature usage, crash data, and in-app conversions, with platform-specific metrics and attribution challenges.
North Star Framework
A strategic framework that identifies a single metric capturing the core value a product delivers to customers, serving as the primary focus for the entire growth team and aligning all optimization efforts toward a unified goal.
Output Metrics
Metrics that measure the results and outcomes of team activities, such as revenue, conversion rate, and retention, representing the business impact that input metrics and growth strategies are designed to produce.
Path Analysis
The visualization and analysis of the sequential routes users take through a digital product, showing the most common navigation patterns, unexpected detours, and the paths that lead to desired outcomes or abandonment.
Predictive Analytics
The use of statistical models, machine learning algorithms, and historical data to forecast future outcomes and behaviors, enabling proactive decision-making based on what is likely to happen rather than what has already occurred.
Prescriptive Analytics
An advanced analytics approach that goes beyond predicting what will happen to recommending specific actions to achieve desired outcomes, using optimization algorithms and simulation to identify the best course of action.
Product Analytics
The practice of analyzing user behavior within a digital product to understand how features are used, where users encounter friction, and which experiences drive retention, engagement, and monetization outcomes.
Rage Click
A rapid succession of clicks on the same element or area within a short time period, typically indicating user frustration with an unresponsive interface, broken functionality, or confusing design element.
Real User Monitoring
A performance monitoring approach that captures and analyzes actual user experience metrics from real browser and device sessions, measuring page load times, interaction responsiveness, and visual stability as users experience them.
Retention Analysis
The measurement and study of how well a product retains users over time, analyzing return rates by cohort, identifying factors that predict long-term engagement, and understanding the timing and causes of user churn.
Reverse ETL
The process of extracting data from a central data warehouse and loading it into operational systems like CRMs, marketing platforms, and product databases, activating analytical insights in the tools where teams take action.
Scroll Depth
A metric that measures how far down a page users scroll, typically reported as percentage thresholds like 25%, 50%, 75%, and 100%, revealing how much of the page content users actually consume.
Segmentation Analytics
The analytical practice of dividing users into meaningful groups based on shared characteristics or behaviors and comparing metric performance across segments to identify opportunities and diagnose issues.
Self-Serve Analytics
Analytics platforms and tools designed to enable non-technical users to independently explore data, build reports, create visualizations, and extract insights without requiring SQL knowledge or data team assistance.
Sequential Testing
A statistical methodology that allows experimenters to analyze results at multiple points during an experiment while controlling error rates, enabling earlier conclusions without the inflated false positive risk of repeated peeking.
Session Duration
The length of time a user spends actively engaged with a digital product during a single visit, measured from the first interaction to the last, used as a proxy for engagement depth and content relevance.
Session Recording
A technology that captures and replays individual user sessions as video recordings, showing every click, scroll, mouse movement, and page transition to enable detailed qualitative analysis of user behavior.
Statistical Power
The probability that an experiment will correctly detect a real effect when one exists, determined by sample size, effect size, and significance level. Higher power reduces the risk of missing genuine improvements.
Synthetic Monitoring
A performance testing approach that uses automated scripts to simulate user interactions at regular intervals from controlled environments, providing consistent baseline measurements and proactive issue detection.
User Flow Analysis
The study of how users move through specific workflows and task completion sequences within a product, examining the efficiency, friction points, and success rates of designed user journeys.
Vanity Metric
A metric that looks impressive but does not meaningfully correlate with business outcomes or inform actionable decisions, often used to create a misleading impression of progress or success.
Web Analytics
The collection, measurement, and analysis of website traffic and visitor behavior data to understand audience composition, content performance, acquisition effectiveness, and conversion patterns across web properties.