Blog

Donnu A/B Blog

Complete, honest guides on CRO, A/B testing and experimentation. The most complete articles on the web, no fluff. (page 10 of 17)

Analytics

GA4 and A/B Testing: The Complete Integration Guide

GA4 and A/B testing together: what GA4 measures, what it cannot decide, real property limits, BigQuery export, event structure and significance.

Analytics

Google Tag Manager for A/B Testing: Full Setup Guide

Google Tag Manager A/B testing setup: custom event trigger, data layer variables, the GA4 event tag, Preview mode and the timing bug that skews results.

Analytics

How to Track A/B Test Events in GA4 (Step by Step)

Track A/B test events in GA4: the impression event, custom dimensions, the Exploration report and the timing mistakes that silently corrupt the data.

Mobile Apps

Mobile Paywall A/B Testing: A Practical Guide

Mobile paywall A/B test: where to place the trigger, hard vs soft paywall, the metric that decides it, and the statistics iOS and Android demand.

Mobile Apps

Mobile vs Web A/B Testing: What Is Actually Different

Mobile vs web A/B testing: release cycle, randomization unit, sample size, propagation latency and the guardrails that only exist inside an app.

Mobile A/B Testing

App Store A/B Testing (ASO): What You Can and Cannot Test

App store a/b testing aso explained: what Google Play and Apple let you test, how each measures a winner, and how to size a store listing test properly.

Mobile A/B Testing

Mobile App A/B Testing: The Complete Guide

Mobile app a/b testing explained: client-side vs server-side vs store listing tests, what to test, sample size and the mistakes that void results.

Mobile A/B Testing

Mobile Onboarding A/B Testing: What Improves Retention

Mobile onboarding a/b test done right: the real activation metric, what permission timing costs you, and the statistical trap that fools most apps.

Email Marketing

A/B Testing Email Marketing: The Complete Guide

Complete guide to A/B testing email marketing: what to test, why open rate misleads, and how to decide with real statistical significance.