
A/B Testing Basics Without Peeking for a Winner
Run an A/B test by randomly assigning a defined eligible unit to a stable control or variant, predefining the primary outcome, guardrails, sample and…
A growth experiment is a documented comparison with a decision attached, not a campaign that received an exciting name after launch. Use these pages to plan measurable work without inventing benchmarks, case studies, client claims, or attribution certainty.

Run an A/B test by randomly assigning a defined eligible unit to a stable control or variant, predefining the primary outcome, guardrails, sample and…

Build a cohort analysis by grouping a defined entity around a shared starting event, then comparing a separately defined outcome at aligned ages.

Measure content performance from the reader task and decision the page supports.

Measure an email campaign from its purpose. Track delivery and suppression signals, treat opens and clicks as imperfect technical indicators, and validate…

Run funnel analysis by defining the eligible population, observable stages, required order, identity unit, exclusions, and maturation window.

Plan a landing-page experiment by naming the observed user problem, eligible audience, exact control and variant, expected mechanism, primary outcome,…

Build a marketing experiment backlog from standardized proposals that state the observed problem, evidence, audience, treatment, mechanism, primary…

Compare organic and paid traffic only after defining the reporting system's channel rules, eligible audience, validated outcome, cost scope, attribution…

Measure retention by defining the entity, starting event, valuable return or continuing behavior, eligible base, time unit, and method.

Write a marketing analysis report around the decision: define scope and method, state the observed finding precisely, show the minimum supporting…