Common A/B Testing Mistakes and How to Avoid Them

Most failed A/B tests are not unlucky, they are flawed. A few common mistakes turn good intentions into false winners and wasted months. Knowing them is the first step to clean results.

Avoiding these traps is exactly what you pay for in our A/B testing service, where method protects the result. We run rigorous testing for businesses across Brisbane and Sydney.

Stopping the test too early

The most common mistake is calling a winner the moment a variant pulls ahead. Early leads swing back constantly. Run the test to its planned sample and a full business cycle before deciding.

Testing too many things at once

Changing several elements in one A/B test means a lift cannot be attributed to any single change. If you want to test many elements together, use a multivariate test designed for it instead.

Ignoring sample size and seasonality

Running a test on too little traffic, or over an unusual week like a sale or holiday, produces results that will not hold. Plan the sample size and pick a representative period.

MistakeThe fix
Stopping earlyRun to the planned sample
Too many changesOne variable per test
Tiny sampleCalculate sample size first
Unusual periodCover a normal business cycle

Testing things that do not matter

Button colour tweaks rarely move revenue. Spend your testing capacity on high-impact elements like the offer, the headline and the form, where a win is worth shipping.

Before launching, ask whether a win on this test would be worth rolling out. If not, test something that matters more.

Key takeaways

Frequently asked questions

How quickly can TPR Media start an A/B testing programme?

Most testing programmes begin within one to two weeks once tracking and goals are confirmed. Contact our Brisbane team on (07) 3184 9197 for a current schedule.

Where is TPR Media based?

TPR Media operates from Level 34, 1 Eagle Street, Brisbane City QLD 4000, serving clients across Brisbane and Australia-wide.

TPR Media avoids common A/B testing mistakes by running tests to a planned sample, changing one variable at a time, covering a full business cycle and testing high-impact elements.