Recently, many sellers have reported in our communication group that there are problems with the A+ page. Some cannot be displayed normally, and some cannot be edited in the backend. (If you want to join the group, please scan the code at the end of the article) However, the A+ situation is very similar to a backend glitch. Some sellers will automatically recover after a problem occurs, while others need to contact customer service to resolve it. Why did Amazon glitch again at such a critical time just before Black Friday? In addition to the ad revamp mentioned a few days ago, the A+ module has recently begun testing a new feature on a large scale - Amazon A+ Experiments (yes, that’s right, Experiments). It is because the new A+ function is being tested on a large scale recently that the sellers’ A+ pages are unstable. The situation will improve once Amazon completes the update. So what is the use of this new function? ◆ ◆ ◆ ◆ What are the new A+ experimental features used for? Simply put, the “Experiments” feature allows us to conduct split testing experiments (also called A/B testing) on A+ pages to compare the impact of two different A+ pages on conversions. In the past, when we tested whether a newly created A+ page was effective for conversion, we would record the data before and after changing the page, and then compare them to determine the effectiveness of the new page. The biggest disadvantage of this method is that it cannot control other variables, because the two A+ pages cannot be replaced at any time, and there must be a sequence. So the results of our self-test are actually not accurate . Other variables such as platform traffic, conversion, activities, etc. will interfere with the results. The newly launched “Experiments” feature can test the effects of two A+ pages while keeping other variables basically unchanged. The principle of implementation is that sellers need to prepare two sets of A+ pages for the products participating in the test when starting the test. Then, “Experiments” will randomly display one of the two pages to buyers who browse the product page within the set period, and update the real-time results once a week to show which A+ has the best sales promotion effect. The advantage of this is that the official has eliminated other influencing factors for us, thus ensuring that the final conclusion is close to reality. A+ pages often play a key role in product conversion. Even sellers who have not registered will contact service providers to apply for A+. This change to A+ is indeed a more convenient function. After Black Friday, you can use this function to optimize your A conversion rate. Here I will tell you how to use it and some precautions when using it. ◆ ◆ ◆ ◆ Experiments usage guide The steps to set up "Experiments" are very simple. Select the Asin that meets the requirements, then name it, set the duration and start time, select two different A+ pages A and B (you can also create new ones) and submit the experiment. The condition for participating in "Experiments" is to have an A+ page and have enough views. Amazon did not specify how many impressions are required, nor did it specify whether it is only available to sellers who have completed brand registration. In fact, A+ itself is a feature that can only be used after brand registration, so this feature is likely to require brand registration by default. In other words, sellers who use service providers to register for A+ will not be able to use this feature. There are also some minor points of attention that I will briefly mention. 1. The test time should not be too short. The longer the test time, the larger the sample size, and the closer the result is to the actual situation. Currently, the optional duration ranges from 4 to 12 weeks. It can be ended early, but the accuracy of the result is worrying. 2. “Experiments” will update the data of the week every week during the experiment, and at the end will use icons to show which version of the A+ page is more popular with consumers. After the experiment is over, we will also predict how much additional sales the better version will bring each year. However, this estimate does not take into account factors such as festivals and price changes, and is at best just a reference. 3. There are still inconclusive results after the experiment ends. This is usually because the two different versions of the A+ pages provided by the seller are similar, or have similar conversion effects. It may also be that the sales volume is relatively small and there are not enough samples to support the experimental results. From the feedback from many students in the group when A+ had a bug in the past two days, it can be seen that most sellers still pay more attention to A+ pages. With this comparison function, we can also find out the A+ pages that are more effective for product conversion. You can try to test it after Black Friday to prepare for the upcoming Christmas peak season. ◆ ◆ ◆ ◆ Thanksgiving Gift Ahem, tomorrow is Thanksgiving. While everyone is busy writing lyrics and pictures to attract consumers from all over the world, we at Cross-Border Business School are also organizing a big Thanksgiving event to give a thank-you gift to our fans who have been following us! |
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