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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