Looking for a real-world Amazon Marketing Cloud analysis example? Even with a limited budget, you can gain immediately relevant insights, for instance through simple cross-sell analyses. In this article we show why this can be especially valuable for every manufacturer and seller.
Amazon Marketing Cloud (AMC) has a reputation among many Amazon vendors and sellers as a tool for large enterprises. Complex, expensive, hard to access, these are often the first associations that come to mind. But that is a misconception. Small and medium-sized Amazon manufacturers can also gain valuable insights from AMC analyses, without needing million-dollar budgets or huge data teams. In this article, we present a concrete Amazon Marketing Cloud analysis example: the cross-sell analysis. It's simple, practical, and delivers results that translate directly into day-to-day business decisions.
The cross-sell analysis is one of the most popular evaluations in Amazon Marketing Cloud, and for good reason. It shows which products are related in the purchase process. Specifically, it answers three key questions:
- Which products are bought together?
- Which ASIN is purchased after a given product?
- Which alternatives do users buy when they decide against a particular ASIN?
This creates enormous potential for retailers and manufacturers alike. With manageable effort, you can use this basis to trigger a whole range of measures, from retargeting to store optimization.
Let's say you sell dietary supplements. An AMC analysis reveals:
- Customers who buy Magnesium 400 also frequently buy Vitamin B12 Drops.
- 15% of buyers who viewed Omega 3 ultimately choose Omega 3 Vegan.
- The most common supplement combination in the cart consists of Iron Capsules and Zinc Tablets.
This information is worth its weight in gold, especially because it isn't based on guesswork but on real purchasing behavior.
The data from Amazon Marketing Cloud isn't just nice to know, it provides a clear basis for action. Here are a few concrete implementations that can be derived from our Amazon Marketing Cloud analysis example:
If you know that a customer frequently buys Product B after Product A, you can set up targeted retargeting campaigns. Amazon DSP offers numerous options here to re-engage users who have viewed or purchased a specific product, this time with a complementary offer.
Combine frequently co-purchased products into a bundle. This not only improves the customer experience but also increases average basket value. At the same time, it raises the likelihood that both products get sold, without any additional wasted reach.
You can prominently place the cross-sell items identified in the analysis example in the Brand Store or integrate them into A+ Content. If, for example, Product A is frequently bought together with Product B, then Product B should be clearly visible on the page for Product A. Product images are especially well suited for this.
The AMC analysis shows which products belong together thematically. You can pick this up visually too: show complementary products together in images, use packaging that communicates combinations, or work with storytelling that highlights these cross-sells.
No, and that's exactly what makes our Amazon Marketing Cloud analysis example so compelling. A cross-sell analysis is not rocket science. Anyone with basic SQL knowledge or a good tool at hand can quickly build out initial insights. Alternatively, you can find a partner who already offers ready-made dashboards or analysis models.
This is a particular advantage for smaller brands. They often don't have the resources to build large internal BI teams, but benefit especially strongly from quickly actionable insights.
The barrier to entry is manageable. Ideally you should have:
- Access to Amazon Marketing Cloud
- Basic knowledge of SQL or a dashboard tool
- Clearly defined goals (for example: which products should be analyzed?)
- Willingness to act on the results
Our AMC example shows: even smaller Amazon brands can make well-founded, data-driven decisions without huge budgets. The cross-sell analysis is an ideal starting point because it delivers concrete opportunities for action, whether for campaigns, product presentation, or store design.