Payment Reports – show you what you are actually paid every month.Earnings reports – show more details (including adjustments) in a fixed one-month period.Sales reports – show basic sales less returns over customizable time periods and countries.While there are 7 possible reports to choose from, in this blog post, we’ll cover three popular financial reports: Fortunately, learning about Amazon Mobile App Distribution Program sales and earnings reporting is quite a bit simpler than that accounting class. I had to take a class in accounting before I understood the difference between sales and earnings. Please take this short survey to help us improve the service.
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If you’re an Android developer, explore this update to the free Amazon A/B Testing service. You can simply indicate which variation the service should distribute to customers from now on. Apps with a smaller audience will want to distribute tests evenly across all variations as shown below:Īfter you identify the winning variation, the A/B Testing service allows you to launch it to customers with a simple button click on the Mobile App Distribution Portal. Apps with a large audience can likely distribute most customers to Variation A (Control) without sacrificing test time or significance. If a variation’s slice of the data is small, the A/B test may take a long time to achieve statistical significance. When planning an A/B test it is important to consider the size of the daily active user base you want to affect and how long you can wait for the test to complete. The experiment above, for example, would require three separate tests, with the winning test becoming the new control each time.Ī/B/n testing lets you compare all four variations at once, so only one test is necessary: You start by setting up an A/B test as you normally would (if you’re new to A/B testing on mobile, learn more about getting started) and click Add Variation for each new variation:Ī/B/n testing saves time, since standard A/B testing of four variations would require completing multiple A/B tests one after the other.
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A/B/n testing saves you time since one experiment can now test up to five variations at once.įor example, suppose you have four ideas for how to label a Buy button – Buy, Purchase, Add to Cart, and Get it Now! – and want to know which label leads to the most purchases. This feature makes it even easier to quickly optimize your app in the field-without having to republish your APK. Our A/B Testing service just added support for A/B/n tests, allowing more than two variations in a single experiment.
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