Glossary · Privacy
Privacy
Responsible measurement concepts for experimentation, marketing, and product analytics.
Glossary terms
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Anonymization
Removing or transforming identifiers, re-identification limits, and experiment-data use.
Attribution
Source, touchpoints, causal experiments, and marketing measurement.
Attribution Model
Rules for assigning credit across touchpoints and their limits for causal decisions.
Consent Management
Definition, governance context, and responsible measurement considerations.
Consent Management Platform (CMP)
Definition, governance context, and responsible measurement considerations.
Consent Mode
Definition, governance context, and responsible measurement considerations.
Customer Data Platform (CDP)
Definition, governance context, and responsible measurement considerations.
Data Governance
Definition, governance context, and responsible measurement considerations.
Data Minimization
Definition, governance context, and responsible measurement considerations.
Data Residency
Definition, governance context, and responsible measurement considerations.
Data Sovereignty
Definition, governance context, and responsible measurement considerations.
First-Click Attribution
Definition, governance context, and responsible measurement considerations.
First-Party Data
Consent-aware measurement, identity, and durable analytics.
GDPR
Experimentation, analytics, consent, minimization, and lawful measurement.
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Other topics
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.
Product analytics
Product analytics
Concepts for understanding user behavior, product value, and the outcomes experiments are meant to improve.