Why perform these tests?

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They involve creating two versions of an advertising creative, for example, and with slight variations, testing to find out which of the two works best with your target audience.

A/B testing can be applied to almost anything in digital marketing: display campaigns , newsletters, product page designs, product sheets, web copy, and much more.

Precisely because when you address 100,000 people, not all of them react the same.

Those of us who work hard every day in digital marketing know turkey phone number list that predicting user behavior is not an exact science.

If you want to apply scalability in marketing to A/B testing, there are many ways to do it.

For example, MailChimp, like many other email marketing applications, allows you to test your database.

Of course, the test must be quite large or the data will not be reliable.