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Make sure you’re not altering too many variables between tests so you don’t lose track. Here are some suggestions for what you could change within your advertisement: Your advert’s headline content Your advert’s call-to-action content What you are offering customers The display url Capitalisation and punctuation How you’re portraying your competitive advantage to consumers Where the advert is directing the audience & where the audience lands The time of day your advert is being displayed to consumers .
The type of devices your adverts are being displayed on The type & number of keywords Email List your advert is utilising The extensions that appear alongside your advert (more on that later) Test Your Variations It’s now time to implement the three different adverts you’ve initially developed. Remember, the first test advert should be geared towards informing the consumer why they should be choosing your product/service over a competitor. The second test advert should be targeting your audiences’ Pain-Points, informing them why your product/service is the solution. The third, and final, test advert should be a wild card where you can experiment with a multitude of ideas and see if any of them prove effective.
How long will your test run? Conventional industry wisdom seems to agree that any test should run for at least 7 days. Your test needs to run long enough for you to be able to achieve statistical significance from the data you have managed to gather. Statistical significance is basically a mathematical term for being able to prove that a certain statistic is reliable. However, don’t worry if you don’t have a solid understanding of calculus and statistics. How will you utilize the data you’ve collected? Of course, if it’s clearly obvious that one advert is outperforming the others by a significant margin, you will implement the higher-performing advertisement in your campaign. However, if there’s not much difference, you’ll have to decide what step to take next.
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發表於 2024-1-8 18:33:37