Why Tangiblee Requires A/A Testing
Every test we run has a direct impact on decisions tied to conversion and revenue. For that reason, accuracy isn’t just important — it’s essential.
An A/A test is how we confirm that the testing framework is stable before introducing any changes. By running two identical variations, we can verify:
- Accurate tracking – All events are firing correctly.
- Balanced traffic split – Visitors are distributed evenly between variations.
- Minimal noise – Any differences we see later can confidently be attributed to the actual change, not the setup.
At Tangiblee, we hold ourselves to a strict standard of less than 1% difference between identical variations. This higher bar ensures that once we move to an A/B test, your team can fully trust the results and act on them without second-guessing.
In short: A/A testing isn’t optional — it’s a safeguard that protects the integrity of your test results and the business decisions that follow. It helps us guarantee that when we report an uplift, it’s truly driven by the experience we’re testing, not by noise in the setup.
