Sentient AI – Advantages of AI on A/B Testing

As technology becomes more advanced the prevalence of Artificial Intelligence is becoming more common across virtually all types of internet marketing. One such space the use of artificial intelligence is becoming more common is in A/B Testing. A/B Testing is when you test the effectiveness of different ads or other marketing strategies on a single audience and compare the results.

When using A/B testing it’s not only important to know what kinds of marketing strategies are important to test on their effectiveness in the short term but also their impact in the long term growth of your business as well. Since there are so many different marketing techniques that could be tested it is near impossible to test all the right combinations and thus A/B testing can become very time consuming and yield few if any results. Sentient Ascend provides a much easier way for marketers to test out different ideas and thousands of permutations of those ideas in order to maximize the effectiveness of A/B testing.

When a digital marketer runs A/B test often they are left to wonder how many tests they should run and how fast each test should run. If tests take too long to run that can lead to a great opportunity cost to the business. However if the tests run too fast that can mean that the results of some tests can easily interfere with the results of other tests and contaminate the results. Through Sentients AI technology tests can be run in such a way is to reduce or even eliminate the negative effects of running many tests at once. The traditional way to use A/B testing would be to make a small change in an advertisement and then wait for the results to see what effect it had on conversion rates. Small changes only were done because it would have been near impossible to know which change affected the conversion. With the emergence of AI however it is possible to test many variations which give the marketer more data to work with in order to optimize their marketing strategy.

Sentient AI – A/B testing can be used to analyze results and test many different permutations of a given ad so as to give the testers more confidence in their results and their ability to influence the profit in their business for the better.

 

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