A/B testing
What is A/B testing?
A/B testing is a method within software testing and experimentation used to compare two versions of a product or feature — version A (control) and version B (variation) — to determine which one performs better based on specific metrics.
Purpose: To make data-driven decisions that enhance user experience, increase engagement, or improve other key performance indicators (KPIs) in software products.
How it works:
Define what you want to test and what outcome you expect.
Create two versions – version A (control) and version B (variation).
Randomly split your audience into two groups, each exposed to one version.
Monitor user behavior and collect data (e.g., clicks, sign-ups, purchases).
Compare performance to determine which version is more effective.
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