Using Amazon Market Basket Analysis to Identify Cross-Sells

3 November 2026 6 min read Ayşe Kılıç

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Amazon Market Basket Analysis is a functional reporting feature found within the Amazon Brand Analytics dashboard. It provides specific data on products frequently purchased alongside your brand’s own catalog items. By reviewing these associations, sellers gain visibility into the buying habits of their customer base, which helps in planning inventory, creating effective product bundles, and refining advertising strategies to capture more revenue from returning or interested shoppers.

What is Amazon Market Basket Analysis?

Market Basket Analysis acts as a window into the consumer purchase behavior on Amazon. It is accessible to registered brand owners who have access to the Brand Analytics portal. The data presented in this report highlights which products customers are adding to their carts in the same transaction as your own items. This information is based on confirmed purchase patterns, giving you a reliable baseline for understanding how your product mix interacts with the broader Amazon marketplace environment.

Using Amazon Market Basket Analysis to Identify Cross-Sells — overview

In a typical account, you will see a list of products that appear alongside your items. This list includes both your own brand’s products and items from competitors. Understanding these relationships is helpful for brand owners who want to see if their items are being bought as a set or if customers are opting for a competitor’s alternative instead of a secondary product from your own catalog. This feature is intended for strategic planning rather than real-time campaign management.

How can you interpret the data in your dashboard?

The report provides a clear view of the ‘Customer Purchased Together’ metric. When you view this table, you see the parent ASIN, the associated product, and the frequency with which they are bought together. If you see your own products appearing as a secondary purchase, it indicates that your current cross-selling efforts or product page configurations are effective. However, if you see a competitor’s product consistently appearing, it serves as a sign that you may have a gap in your product line.

For example, if you sell high-end kitchen knives and the report shows that a specific brand of knife sharpener is frequently purchased alongside your set, you have identified a strong candidate for a future product launch or a bundle. Conversely, if you sell the sharpener, you might consider creating a sponsored product campaign that targets customers who are looking at your main knife sets. This data helps you make decisions based on what shoppers are already doing.

Using Amazon Market Basket Analysis to Identify Cross-Sells — in practice
Why should you use this data to improve your bundles?

Creating virtual bundles or physical kits is a practical way to increase your average order value. By using the Market Basket Analysis report, you can identify products that have a high affinity for one another. Instead of guessing which products might appeal to the same customer, you use the data to construct bundles that reflect actual purchase behavior. This reduces the risk of creating a bundle that has no interest from your target audience.

  • Identify frequently purchased pairings to form new product bundles.
  • Spot competitor items that shoppers choose instead of your accessories.
  • Inform your inventory stocking levels based on high-frequency pairings.
  • Refine your Amazon Ads strategy by targeting top-associated items.
How does Alien Road apply this technology?

At Alien Road, we use the Market Basket Analysis report as a foundational step for audit and strategy. When we onboard a new client, we look at the Brand Analytics report to see if their product ecosystem is self-contained. For example, in a typical engagement for a home goods client, we examine the report to see if they are missing out on cross-sell opportunities. We then use this to inform the creation of Virtual Bundles, which allows the client to sell multiple items under one ASIN without needing new packaging.

We also use this data to adjust advertising bids. If we notice that a specific item is frequently bought with a client’s product, we move to secure ad placement on that specific detail page. This approach ensures that the client is staying visible during the entire shopping journey. By keeping the strategy aligned with real customer activity, we help avoid wasted ad spend on products that do not actually result in a secondary purchase.

Comparison of Cross-Selling Strategies

Strategy TypeData SourceAction Required
Product BundlingMarket Basket AnalysisCreate Virtual Bundle
Ad TargetingSearch Query ReportsAdjust Bid Placement
Inventory PlanningBrand AnalyticsReorder Associated Items

Where to start this week

Begin by logging into your Amazon Seller Central account and navigating to the Brand tab. Select the Brand Analytics option and locate the Market Basket Analysis report. Download the data for the last 30 days to get a current snapshot of consumer behavior. Review the top 10 pairings related to your top-selling ASINs. If you find that customers are buying your product with an item you do not currently offer, consider if that item fits your brand strategy for expansion.

  • Download the last 30 days of Market Basket Analysis data.
  • Highlight the top 10 pairings for your core catalog products.
  • Check if you have these items available for purchase.
  • Create a Virtual Bundle for the most popular pairings identified.
  • Adjust your Sponsored Products ads to target the identified pairings.

Frequently Asked Questions

Is Market Basket Analysis available for all Amazon sellers?

No, this feature is restricted to brand owners. You must have a registered trademark and be enrolled in the Amazon Brand Registry program to access the Brand Analytics suite, which contains the Market Basket Analysis report. If you are a reseller without brand ownership, you will not see this specific report in your dashboard.

How often should I review this report?

It is good practice to review this report monthly. Because consumer trends can shift based on seasonality or changes in product availability, checking the data once a month allows you to stay informed without becoming overwhelmed by minor daily fluctuations. This frequency is usually enough to spot meaningful patterns that require a change in your strategy.

Can I use this data to optimize my SEO?

While the report does not directly change your search rank, it informs your content strategy. If you see that your product is frequently purchased with a specific accessory, you can mention that accessory in your bullet points or A+ content. This helps shoppers understand why the two items work well together, which can improve your overall conversion rate.

Why are competitor products showing in my report?

The report shows actual customer purchase behavior, not just your brand’s data. Seeing a competitor’s product in your report is normal. It shows that customers are considering that item alongside yours. You can use this to understand what features your competitors have that your customers value, or you can use it to target those products with your ads.

Does this report show individual customer names?

No, the report does not show individual customer names or private information. The data is aggregated to protect user privacy. You will see product-level relationships, which are helpful for brand strategy, but Amazon does not share data that could be used to track or identify specific individual shoppers who purchased your items.

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