BY VINCENT VU
Lab 916
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Amazon Retail Analytics: How Vendors Use ARA in 2026
March 1, 2026
10 min read
How to use Amazon Retail Analytics (ARA) to optimize your vendor strategy. Covers demand forecasting, probability levels, and the premium upgrade.
Amazon vendors streamline their operations with Amazon Retail Analytics (ARA), a powerful suite of reporting tools that tracks and records vendors' operational performance. For brands selling through Vendor Central, ARA is an essential resource for understanding sales trends, forecasting demand, and making data-driven inventory decisions.
What is Amazon Retail Analytics?
Amazon Retail Analytics is Amazon's proprietary analytics platform designed specifically for vendors (first-party sellers). It provides detailed reporting on how your products perform within Amazon's retail ecosystem, including sales data, traffic metrics, inventory health, and demand forecasting.
Vendor Central users can access a free Basic plan or upgrade to a paid Premium plan, depending on the needs of their business. Amazon Retail Analytics Basic is included by default for all Amazon Vendors, while ARA Premium offers more extensive reporting and deeper data granularity for an additional fee.
Amazon Retail Analytics Basic vs. Premium
Understanding the difference between the two tiers helps you decide whether the Premium upgrade is worth the investment for your brand.
ARA Basic (Included Free)
The Basic plan provides fundamental reporting that every vendor needs. This includes sales diagnostics with data on shipped revenue, shipped units, and customer orders. You also get access to traffic data showing glance views (the number of times customers viewed your product detail page), which is useful for measuring the effectiveness of your advertising and organic visibility. Basic also includes the demand forecast, which we will cover in detail below.
ARA Premium (Paid Upgrade)
ARA Premium unlocks significantly more granular data. Key additions include geographic sales data showing where your products sell best by region, market basket analysis revealing what other products customers buy alongside yours, repeat purchase behavior data, and alternate purchase reports showing which competitor products customers viewed before purchasing yours. For brands with large catalogs or those operating in competitive categories, the Premium insights can inform everything from advertising strategy to new product development.
The Probability Level Demand Forecast
One of the most important features within ARA is the demand forecast system. Amazon updated this tool to give vendors more control and transparency over inventory planning through what is called the Probability Level Demand Forecast.
Demand is gauged by glance views, sales history, and projected demand for planned promotions. With this system, vendors choose from three probability forecasts:
P70 – This indicates that there is a 70% chance Amazon will place a purchase order for the indicated demand, and a 30% chance they will purchase more.
P80 – This indicates that there is an 80% chance Amazon will place a purchase order for the indicated demand, and a 20% chance they will purchase more.
P90 – This indicates that there is a 90% chance Amazon will place a purchase order for the indicated demand, and a 10% chance they will purchase more.
These metrics are all forecasts and not guarantees, which shifts some risk onto the vendor. Amazon does not issue guarantees for a variety of reasons. Most commonly, Amazon may find your product available from a different supplier at a lower price. Vendor lead-time and product profitability are other factors that may influence Amazon's purchasing decisions.
Understanding the Mean Forecast
A secondary component of the demand forecast system is what Amazon calls the "Mean Forecast." This replaced the previous projected safety stock metric and is designed to serve vendors who require a longer lead time (over 6 weeks) to provide inventory. This applies to those sourcing and manufacturing products overseas, which comprises a sizeable chunk of Amazon vendors.
The projected safety stock used to consist of the Vendor Lead-Time (VLT) plus one week to estimate the quantity needed. With the update, Amazon uses only the exact VLT to calculate purchase orders. This places more responsibility on the vendor to decide whether to purchase additional safety stock to compensate for potential demand variability.
How to Use Amazon Retail Analytics Effectively
Vendors need to have a solid grasp on Amazon Retail Analytics to maintain a profitable, efficient product demand relationship with Amazon. Here are key strategies for getting the most out of the platform.
1. Regularly Review Your Demand Forecast
The demand forecast accounts for the upcoming 26 weeks and previous 13 weeks. Compare these numbers to the actual purchase orders issued to see which of the P-levels is closest to your real-world experience. Over time, this comparison will help you calibrate your inventory planning and reduce the risk of both stockouts and overstock situations.
2. Track Demand vs. Purchase Orders
Track and record the demand versus actual purchase orders on a weekly basis to verify Amazon's purchasing levels. Create a two to three month overview of this data for the most accurate understanding. This tracking helps you identify patterns and anticipate when Amazon may reduce ordering due to seasonal shifts or competitive pricing changes.
3. Focus on Your Most In-Demand Products
You will see all forecasts once downloaded, which will give you an idea of which ASINs to prioritize. Not all Amazon ASINs need to be stocked at the same level, and it is best practice to prioritize only those in highest demand. Allocating resources toward your top performers ensures you maintain availability for the products that drive the most revenue.
4. Steer Clear of Chargebacks
Purchasing too little inventory to cover demand affects the 100% confirmation rate and on-time shipping accuracy that Amazon requires, which could result in chargebacks. Amazon's chargeback system can significantly erode your margins, so maintaining adequate stock levels based on your demand forecast data is critical for protecting your profitability.
5. Leverage Traffic and Conversion Data
ARA provides glance view data that, when combined with your sales figures, lets you calculate your conversion rate. If a product has high traffic but low conversion, the issue likely lies with your product detail page — consider improving your product images, enhancing your A+ Content, or adjusting your pricing strategy. If traffic is low but conversion is strong, focus on increasing visibility through advertising or organic search optimization.
6. Monitor Competitive Dynamics
ARA Premium's alternate purchase report shows you which products customers viewed instead of yours. This competitive intelligence helps you understand your positioning within the category and identify opportunities to differentiate your products or adjust your pricing to better compete.
7. Contact Amazon Support
Keep an open line of communication with your Vendor and In-Stock Managers with any questions about your demand forecast. They are the ones with the most expertise straight from the source, and they are there to support you.
When to Consider the Premium Upgrade
ARA Premium makes sense for vendors with large catalogs (50+ ASINs), brands competing in categories where competitive intelligence provides a meaningful edge, and vendors whose advertising spend justifies deeper analytics to optimize ROI. For smaller vendors or those in less competitive categories, ARA Basic often provides sufficient data for effective decision-making.
Get Expert Help With Your Vendor Central Strategy
Navigating Amazon Retail Analytics and the broader Vendor Central ecosystem requires both technical expertise and strategic thinking. At Lab 916, we help brands optimize their vendor operations, from demand planning and chargeback prevention to advertising and content strategy. Whether you are evaluating a move from Vendor Central to Seller Central or looking to maximize your performance within the vendor model, our team can help you make data-driven decisions that grow your Amazon business.



