Resource directory

Six Groundbreakers Give Practical Advice on Using AI in Experimentation

DevOps Feature Flags: What Are They and How to Use Them

Why Should Both Product and Marketing Teams Experiment?

How to use a growth flywheel to drive SaaS businesses

Using Product Metrics as Guardrails for Feature Rollbacks

Unlocking Business Growth: The Power of Mobile App A/B Testing

How can AI support experimentation?

How to perform mobile app A/B testing to boost conversions in 2026

How HCOs can approach patient experience optimization while remaining HIPAA compliant

Surprising A/B test results that defied best practices

Google Tag Manager and Kameleoon Integration: Seamless Data Integration for Experiments

Clarity and Kameleoon Integration - Bridging the gap between quantitative and qualitative data

The practical AI playbook for e-commerce teams

Evaluating the Impact of Kameleoon’s PBX Technology

What high performers do differently with experiment-led growth in 2025

Spotlight Series: Taking Experiments off the Testing Shelf

Taking bets further with experimentation

Finding the perfect match: choosing the right algorithm for your A/B tests

False positives & bias: how to steer clear of misleading results