Most people who doĀ A/BĀ testingĀ are never truly giving theirĀ testingĀ adĀ a full chance at achieving its best possible results. Furthermore, withoutĀ testingĀ theĀ adĀ properly, these individuals or companies may ultimately lose money, time and potentially reject a successfulĀ adĀ that just never had the chance to prove itself successful due to the lack of owner knowledge.
In addition to the explanation of failed ads, Thies goes further into his article and explains the process of creating a successfulĀ adĀ testingcampaign. The technique he uses explains that by keeping the controlĀ adĀ running throughout theĀ testingĀ of the newĀ ad, the user can save money and also āeliminate performance history as a variable (Thies, 2008)ā in the testĀ ad. By creating multiple copies of the controlĀ ad, the user can āavoid giving 50% of impressions to an unprovenĀ adĀ which may fail (Thies, 2008).ā
Creating multiple copies of the controlĀ ad, the user does not lose as much profit due to the controlĀ adĀ always running. Instead of the user losing 50% ofĀ adĀ impressions to theĀ testingĀ ad, that percentage shrinks to 20% because of the additional controlĀ adĀ copies.
In addition to this type ofĀ testingĀ saving profits and potentially accelerating theĀ testingĀ process, it also allows for the user to create a validĀ testingĀ environment by ācomparing the performance of the testĀ adĀ against the copies of the control only (Thies, 2008).ā
Thies, D. (2008).Ā SplitĀ testingĀ adwords: youāre doing it wrong.Ā Retrieved June 12, 2010, from http://www.seofaststart.com/blog/split-testing-adwords-youre-doing-it-wrong
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Dr. Elijah Clark (May 8, 2022). Google Ad – A/B testing [Web log post]. Retrieved from https://elijahclark.com/google-ad-ab-testing/