试验常见问题
如何访问“管理您的试验”？
管理您的试验仅面向拥有自己的品牌且负责在亚马逊商城销售该品牌的销售伙伴开放。如果您无权访问管理您的试验，请确保您已在亚马逊品牌注册中完成注册。如果您已经参与了亚马逊品牌注册计划，请联系销售伙伴支持。
为什么我找不到想要针对其运行试验的 ASIN？ 或者，为什么我想要针对其运行试验的 ASIN 不符合试验条件？
您只能对已发布 A+ 商品描述的品牌高流量 ASIN 进行试验。确保您已针对您的 ASIN 发布 A+ 商品描述，并且商品属于您的品牌。然后，请考虑使用广告来增加您的 ASIN 的流量。
如何为我的试验创建新的商品描述？
您的新试验商品描述必须是已获批准的商品描述，并且它应用到的 ASIN 必须与现有商品描述应用到的 ASIN 【完全相同】。
要创建商品描述，我们建议您按照以下步骤操作：
在“管理您的试验”中，点击显示“从复制版本 A 开始”的链接
系统将随即创建一个新的 A+ 项目，该项目附有您的现有商品描述应用到的相同 ASIN
编辑您的新 A+ 项目。为获得最佳结果，请务必使新商品描述与现有版本尽可能不同。
在“A+ 商品描述管理器”的右上角，点击“下一步： 应用 ASIN”然后点击“下一步： 查看并提交”。接着点击“提交以供审批”。在确认对话框中，点击“提交以供审批”
为什么版本 B 下拉菜单中未显示任何商品描述？
首先，请确保您已经为试验创建了第二版商品描述，并且该商品描述并不是处于“草稿”状态。您必须提交商品描述的版本 B 以供审批，在版本 B 获得批准后，它才会显示在下拉菜单中。其次，请确保商品描述的版本 B 应用到了试验中的参考 ASIN，这样它才能显示在下拉菜单中。参考 ASIN 是您在试验设置过程中选择的 ASIN，您可以在“试验设置”页面上向下滚动，并会看到参考 ASIN 旁边的“参考”标记。
我看到一条消息，指出版本 A 与版本 B 所应用到的 ASIN 不同。如何解决此问题？
为确保试验的公平性，我们要求两个版本的商品描述必须应用于完全相同的 ASIN，然后您才能提交试验。要解决此问题，请复制我们在“管理您的试验”工具中显示的一系列不一致的 ASIN。然后，转至“A+ 商品描述管理器”，并将复制的 ASIN 添加到缺少这些 ASIN 的商品描述版本中。
为什么我还没有看到结果？
我们每周或每两周计算一次试验结果。在极少数情况下，在我们处理与试验相关的数据时，结果可能会有所延迟。请不时回来查看结果；一旦结果处理完毕并且可用，它便会自动显示出来。
如果早期的试验结果显示某个版本的效果颇为出色，为什么我应该继续试验呢？
因为在偶然情况下，早期试验结果可能不会代表试验的真正影响。每当您在试验结束前关注结果时，都会增加您根据不具代表性的结果做出决定的几率，这将降低试验的有效性。因此，我们建议您不要根据中期结果做决定。请等到试验结束再确定胜出版本。
亚马逊官网原文详情：
Experiments FAQ
How do I get access to Manage Your Experiments?
Manage Your Experiments is only available in the U.S. for selling partners who own a brand and are responsible for selling the brand on Amazon. If you don’t have access to Manage Your Experiments, make sure you’re registered with Brand Registry. If you are already part of Brand Registry please contact Seller Support.
Why can’t I find the ASIN that I want to experiment on? Or, why isn’t the ASIN I want to experiment eligible for experimentation?
You may only experiment on high traffic ASINs of your brand that have A+ content published. Make sure you have published A+ content on your ASIN, and that it is your brand’s product. Then, consider using advertising to help drive additional traffic to your ASIN.
How do I create new content for my experiment?
Your new experiment content must be approved content that is applied to the exact same ASINs as your existing content.
To create your content, we recommend following these steps:
In Manage Your Experiments, follow the link that says ‘Start by duplicating Version A’
This will create a new A+ project that already has the exact same ASINs attached as your existing content
Edit your new A+ project. For best results, make sure to make it as different as possible from the existing version.
In the top right corner of the A+ content manager, click ‘Next: Apply ASINs’. Then, click ‘Next: Review & submit’. Then, click ‘Submit for approval’. In the confirmation dialog box, click ‘Submit for approval’
Why is no content showing up in the Version B drop-down?
First, make sure you have created a second version of content for your experiment, and that the content isn’t in ‘Draft’ status. Your Version B content must be submitted and approved to show up in the drop-down. Second, make sure your Version B content must be applied to the reference ASIN in the experiment to show up in the drop-down. The reference ASIN is the ASIN you chose during the experiment setup process, and you can scroll down on the Experiment Setup page and see the ‘Reference’ badge next to your reference ASIN.
I am seeing a message that says Version A has different ASINs applied than Version B. How do I fix this?
To have a fair experiment, we require that both versions of content have the exact same ASINs applied before you can submit your experiment. To fix this, copy the list of mismatched ASINs that we show you in the Manage Your Experiments tool. Then, go to the A+ content manager and add the ASINs to the version of content that is missing them.
Why don’t I see results yet?
We calculate experiment results every week or two. In rare cases, results may be delayed while we process the data associated with experiments. Keep checking back; results will automatically show when they are processed and become available.
Why should I keep my experiment going if early results suggest a clear favorite?
Because on random chance, early experiment results may not be representative of the true impact of your experiment. Every time you “peek” at the results before an experiment ends, you increase the chance of making a decision based on unrepresentative results, which reduces the validity of your experiment. So, we recommend you don’t make a decision based on interim results. Wait till your experiment ends to identify the winner.
文章来源：亚马逊官方网站
