A/B · Automated
The stack decides, not you.
What Automated A/B Does
Tools like Optimizely and VWO with an AI layer launch and end A/B tests automatically based on statistical significance. Lessons are extracted into a pattern library. Test volume scales from gut-feel levels to a systematic cadence.
01
4-32
Tests per Month
02
Auto
Start and End
03
AI Pattern
Lesson Extraction
What You Gain
- Statistical discipline; no bias from gut instinct
- Volume scaling of tests
- Pattern library with lessons that persist across tests
- Faster iteration cadence
Example
A brand running manual A/B tests ran 4 per month and lost the lessons each time. With automated setup: 32 tests per month, a growing pattern library, and a test-to-action loop that is 8x faster.
What Automation Does Not Replace
Hypothesis setting (what to test and why). Strategy calls based on lesson output. Brand voice decisions. Automation is the execution layer; strategy stays human.
„Automated testing is a discipline, not magic. Hypotheses remain human.”