There was a time when marketers relied on expensive focus groups, outdated data, and intuition to develop campaigns. Today, we understand that real-time, accurate data is necessary for high performing marketing campaigns. One of the best ways find this data is A/B testing. A/B testing, also known as split testing or bucket testing, is an effective tool that marketers use to help optimize marketing campaigns. While A/B testing on its own is an excellent method for optimizing your marketing campaigns, adding CallRail into the mix takes the data to the next level. In fact, digital agency Scube Marketing reduced their cost per lead by 21% by using A/B testing to determine which ads generated to more calls. So how can I run an A/B test? Before beginning your A/B test, you’ll need to make a couple decisions. First, you’ll want to ensure that you have at least two clear variations of the asset or campaign that you’d like to test. This is the foundation of A/B testing. For example, testing whether a landing page with a picture performs better than a landing page without an image would provide clear results while a test between the same landing page with varying fonts wouldn’t be so easy to test. When A/B testing, you want to consider your campaign assets at a high level. The timeline for your A/B test is also an important factor to consider. Your test should last long enough for a useful sample of visitors to experience the test. This will…
Read More: A/B Testing with CallRail Call Analytics
