Product analytics

Activation

The meaningful value milestone that turns a new user into an engaged one.

Activation Rate

Defining first value, activation events, and leading indicators.

Active User

A user definition based on meaningful activity rather than a generic visit.

Adoption Curve

How feature uptake develops over time and how to separate novelty from durable use.

Behavioral Analytics

Using product events to understand actions, journeys, and experiment outcomes.

Behavioral Cohort

Grouping people by shared actions to compare retention, conversion, or adoption.

Behavioral Targeting

Targeting based on observed actions while accounting for privacy and experiment bias.

Cohort Analysis

Behavioral cohorts, retention curves, and experiment segments.

Customer Effort Score (CES)

Definition, behavioral context, and product-analysis applications.

Customer Journey Analytics

Definition, behavioral context, and product-analysis applications.

Daily Active Users (DAU)

Definition, behavioral context, and product-analysis applications.

Engagement

Definition, behavioral context, and product-analysis applications.

Event-Based Analytics

Definition, behavioral context, and product-analysis applications.

Feature Rollout

Definition, behavioral context, and product-analysis applications.

Growth Loop

Definition, behavioral context, and product-analysis applications.

Heatmap

Definition, behavioral context, and product-analysis applications.

Product Analytics

Events, users, features, funnels, cohorts, and product decisions.

Fundamentals

Fundamentals

The conceptual foundation: what experiments are, how variants are compared, and how a testing program creates evidence.

CRO & funnels

CRO & funnels

Research-led optimization of the complete path from discovery to meaningful action.

Statistics

Statistics

Statistical terms will be published with notation, formulas, worked examples, assumptions, and interpretation warnings.

Metrics

Metrics

Metric pages will connect formulas to denominators, business outcomes, guardrails, and experiment use cases.

Design

Design

Plan tests that can answer a useful question without creating avoidable validity risks.

Data quality

Data quality

Checks that determine whether an experiment result can be trusted before it informs a decision.

Implementation

Implementation

The delivery and measurement foundations behind reliable product and web experiments.

Privacy

Privacy

Responsible measurement concepts for experimentation, marketing, and product analytics.