Run the Data Freshness Checklist

Outcome: Verify sales, inventory, advertising, fees, returns, and landed cost data before accepting any recommendation as actionable.

What to do in this lesson

Watch: start with the lesson video.
Learn: use the summary and key points to capture the operating principle.
Do: complete the action steps against one real product, SKU, campaign, supplier, or workflow.
Submit: write one action card with owner, evidence, next step, risk, status, and review date.

Watch

Hosted on Google Drive.

Lesson summary

This lesson teaches how to test and optimize A-plus content on Amazon listings. It covers monitoring key metrics like unit session percentage and sessions to measure the impact of A-plus content, and the importance of continuous testing and refinement to improve sales performance.

Key points

Monitor unit session percentage (units sold / sessions) to measure how effectively your listing converts visitors into buyers
Track key metrics like number of sessions, units sold, and unit session percentage before and after implementing A-plus content
Look for increases in unit session percentage to indicate improved effectiveness of A-plus content
Consider other factors like seasonality or promotions that could impact metrics
Use Amazon’s Manager Experiments tool to easily A/B test different A-plus content layouts and elements

Lesson notes

In this video, you will learn the various data points that can be explored with the DST Download the Data Metrics Cheat Sheet here

Action checklist

Log in to Seller Central and navigate to the Detail Page Sales and Traffic report to monitor your metrics
Implement A-plus content changes and track the before and after data for at least 2-4 weeks
Use Amazon’s Manager Experiments tool to A/B test different A-plus content variations

Full transcript

Open transcript

Hey Tines, welcome back and in this video we will cover how to test your A-plus content. So optimizing your Amazon listings often involves experimenting with various strategies. After creating, compelling images and copy, it’s crucial to measure the impact of your A-plus content on sales performance. So how do we evaluate A-plus content and its impact on those sales? Quite simply, this is done by monitoring your unit session percentage and sessions. So unit session percentage is unit sold divided by a number of sessions. And this metric indicates how effectively you are listing converts visitors into buyers. Track these metrics for at least two to four weeks, but do be patient because significant changes may not be immediate. So step one is to log in to sell a central and you’ll want to navigate to reports, business reports, and in detail page sales and traffic by child item. Then you’ll need to locate the specification you’re measuring. Little tip here, over on the right hand side of the page, you’ll see a widget that you can actually expand. This will give you the opportunity to add data columns to your report. And here you’ll find mobile and browser data that is not in the default view, very useful. And you’ll have to select a specific business report view first to see it. Sales and traffic is a good one to go for. So make sure whenever you add A-plus content or amend that content that this is added to the daily sales tracker, monitor your before and after date, and typically this will be in a window where there are no sales events happening, as could this could skew the data. Understand what your conversion and session percentage were before and after in your selected timeline. So key metrics to track here. Number of sessions, which is total visits to your product listing, units sold, which is total products purchased during that same period, and unit session percentage, which is effectively your calculated conversion rate. So what we’re looking for, well, an increase in unit session percentage after implementing A-plus content, suggests improved effectiveness. Consider other factors that might influence these metrics. For example, seasonality or any promotions. Success with A-plus content isn’t a one and done deal. It’s about continuous refinement. By keeping a close eye on your metrics and making data driven tweaks, you’ll keep optimizing your performance. Think of each analysis as another step towards your Amazon presence. And remember, A-B testing is crucial for optimizing your Amazon listings. What works for one product may not work for another. So recommendation, if no improvements are seen within a month, experiment with different layouts, alternate text content, or even new images. Each Amazon’s manager experiments tool, now this facilitates easy A-B testing for A-plus content pages. Your eligibility requirements are brand ownership, high traffic asings, and published A-plus content on those asings. A-plus content success comes down to smart testing, discovering what truly works with your audience. Each test gives you valuable insights, helping you fine tune your listings for better conversions. In Amazon’s ever changing marketplace, the winners are those who keep measuring, learning, and adapting. As always, there’ll be a link at the end of the training showing you how to set up a split test in manager experiments.

Resources

Source lesson: Data Points in the DST
Resources: none attached yet.

Track: 01 — Seller Operating Baseline
Module: Data Truth Before Action