Are you fed up with conducting A/B experiments that don’t seem to have any impact? It’s not just you! Many e-commerce experts make common mistakes that reduce their conversion rates. These errors will be covered in this article, along with advice on how to prevent them.

First of all, a lot of people overlook the value of statistical significance and sample size. You won’t have accurate data to base choices on without a sizeable enough sample size. Furthermore, you must make sure that your test findings are statistically significant; otherwise, you risk basing your decisions on chance.

Not properly testing your hypothesis is another common error. Always have a particular hypothesis in mind and make sure you’re only testing one variable at a time. Knowing which change led to the variation in results when testing numerous variables can be difficult.

Finally, when it comes to voice search optimisation, it’s essential to consider natural language and long-tail keywords. A quote from Purna Virji, a voice search expert, highlights this point: “Voice search is different. People don’t say ‘best running shoes’ – they say ‘what are the best running shoes for me?'” Additionally, optimising for featured snippets can increase your chances of being selected as the answer to a voice search query.

Avoiding these mistakes can save you time and money, and ultimately, increase your conversion rates. Keep these tips in mind, and you’ll be on your way to A/B testing success!

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