What is an A/B testing
A/B testing is not an idle talk. In fact it has transformed into a special method of landing page optimization and conversion rate improvement used by many cunning marketers. Instead of relying on your sixth sense and conventional point of view, A/B testing allows you to see factual statistics data that can help you make an appropriate readjustment. The A/B testing is also used to integrate an effective email marketing campaign by increasing open rates and click rates. It helps you to modify different structural elements of the web page, and measure the results of your conversion rates afterwards.
Basically, A/B testing looks exactly like this: you have two versions of one product (A and B) along with a metric system that defines product acceptance and progress. To estimate which version is better, you expose both versions to testing at the same time. Finally, you measure the most successful version and select it for real-world application.
A and B represent two different designs of a website: Usually, A is an existing one, and B is the new one. You divide your website traffic between these two versions and then measure the performance with necessary metrics (conversion rate, sales, bounce rate, etc.). In the final analysis, you select the best version.
A/B testing is a cost-beneficial solution that provides a clear vision of the real trackable visitors behavior. It is also about being able to measure even minor differences in the performance of the variations, which in the meantime can be extremely significant.
However, the statistical accuracy is efficient to a certain extent where you can’t measure or count. This implies such substantial improvements as increasing public awareness of a brand name or a company’s reputation. Another obstacle is that A/B testing is only applicable when you have an already established design.