A/B Testing




In digital marketing, A/B Testing or Split Testing is the process of comparing two variants simultaneously to test small differences. This helps marketing departments to take data-backed decisions and remove the guesswork. As a result, companies can understand why certain marketing efforts did not hit the mark, thereby giving them insights into constructing much better versions for their users.

A/B Testing is now being commonly used as it became economical with the development of digital platforms. It also paved the way in providing insights to the company about user behaviour, increasing chances for the rate of conversion. Be it the title of a newsletter/mail, ad text, text on call-to-action buttons or a web page’s layout, this testing method gives you insights that might influence customer behaviour.

To start with A/B Testing, determine the metric of success for your marketing campaign. It could be the no. of sales, click-through rate, downloads, sign-up, etc. Trial them together in identical circumstances and identify the most successful version of it. For example, set up two versions of a web page simultaneously and split your website traffic equally between the two to identify which version works better for your brand. For better results, use free tools like Google Analytics Content Experiments.  Such tools run A/B Testing for your brand and make recommendations for improving your marketing efforts.

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