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Amazon Marketing Cloud Overlap Report - AMC Basic Reports

Published on April 30, 2025

About this video

Amazon Marketing Cloud Overlap Report - AMC Basic Reports - Maximize your Amazon advertising performance with this in-depth walkthrough of the Amazon Marketing Cloud (AMC) Overlap Report. In this video, we break down how to use the Overlap Report to analyze the impact of different Amazon ad campaign types-including Sponsored Products, Sponsored Brands, Sponsored Display, DSP, and Sponsored TV-on your sales and overall Amazon listing optimization.

Learn how to interpret the AMC Overlap Report to understand the unique reach, purchase rates, and total product sales generated by each campaign type and their combinations. This report is essential for Amazon PPC managers and sellers aiming to optimize their Amazon advertising strategy, allocate budgets efficiently, and improve their Amazon listing performance.

**What You’ll Learn in This Video:**

- The value of the AMC Overlap Report for Amazon PPC and why it’s a must-have for optimizing your Amazon advertising campaigns. - Step-by-step instructions on how to access and set up the Overlap Report in Amazon Marketing Cloud, including naming conventions, date range selection, and filtering by specific campaign IDs for deeper insights. - A detailed walkthrough of the report’s export, explaining key metrics like unique users, unique reach, total purchases, total product sales, reach percentage, and purchase rate. - How to interpret the data to see the effect of single versus multiple campaign types on your Amazon sales. - Real-life examples showing how combining Sponsored Products with DSP or Sponsored Brands can significantly boost your purchase rate and sales, compared to running these campaigns in isolation. - Why DSP campaigns may not show direct sales but can dramatically increase purchase rates when combined with other ad types. - Analysis of Sponsored Brands’ role in protecting brand visibility and their indirect impact on sales and ranking. - Insights into the effectiveness of Sponsored TV and when it may or may not make sense to include it in your Amazon advertising mix. - How to use the Overlap Report findings to make data-driven decisions, save on wasted ad spend, and test new combinations for your product category.

This video is packed with actionable tips for Amazon sellers, advertisers, and agencies looking to refine their Amazon PPC campaigns, increase ROI, and achieve better results through data-driven Amazon listing optimization.

**Timestamps:**

- 00:00 Introduction to AMC Overlap Report - 00:08 Why the Overlap Report is useful for Amazon advertising - 00:28 How to access and set up the Overlap Report in AMC - 01:04 Naming conventions and date range selection - 01:42 Filtering by campaign IDs for granular analysis - 01:57 Exporting and understanding the report structure - 02:10 Explanation of key metrics in the report - 03:00 Analyzing single vs. multiple campaign type performance - 04:00 Understanding purchase rate vs. conversion rate in AMC - 04:47 The impact of combining DSP and Sponsored Products - 05:47 When DSP appears ineffective and why it still matters - 06:34 Reach percentage and its implications for campaign strategy - 07:15 The role of Sponsored Brands in brand protection and sales - 08:28 Comparing DSP, Sponsored Products, and Sponsored TV - 09:59 The effect of combining all four campaign types - 10:53 Key takeaways for optimizing Amazon advertising with AMC Overlap Report - 11:40 Final thoughts and recommendations

#amazonmarketingcloud #amazonads #amazonppc

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Transcript

Hi guys and welcome to another video on Amazon YouTube channel. This video I'll be covering Amazon Marketing Cloud Overlap Report. This report is very useful because it lets you see the impact of your Sponsored Brand campaigns, Sponsored Product campaigns, and DSP campaigns if you're running them. So stay tuned and see how this report can help you in your day-to-day PPC management. Now, when you head over to your Amazon Marketing Cloud account, which I covered how to create and how to access, you want to go to the use cases. In the past it it was called instructional queries. Now it's called use cases, so head over and type overlap. It's going to be easier for you to find it. Now I like to use this one because it's Sponsored Ads and DSP overlap. Now even if you don't run DSP ads, uh it's going to still be useful for you because this one's going to show you how your what's your performance when somebody sees your uh one campaign type to campaign types and and more. So let's do that one. When you go inside, as every other Amazon Marketing Cloud report, you want to name name it properly. So input your today's date, which marketplace are you using it for? We support a lot of European sellers who sell on EU5 marketplaces all the way to Japan, Middle East. So we like to have really naming convention that makes us and enables us to see what's the actual report that we're looking at, sorry. So then you name the report, you select the date range that you're interested to see, and you select your time zone, and you hit submit. Optionally, you can select your DSP campaign IDs and your Sponsored Ads campaign IDs if you want to be specific uh about which one do you want to analyze. Um I'm going to show you the actual export of the file, but for each and every template, you will see an example query results, how the end results should look like with the detailed explanation of every every metric used. Now down there you will also see, pretty important is the metrics defined. So users that purchased, unique reach, total purchases, etc. So let me now pull up the report. I'm going I'm going to walk you through it what we going to see. Okay, here's the report. So on the left, you will see your campaign groups, Sponsored Products, DSP, then DSP plus Sponsored Products, Sponsored Brands, plus Sponsored Products, and all the different combinations. You can see the number of ad product here. So if only single ad type is used or two ad types or three or maybe even four. Here we used DSP on this account and also Sponsored TV as a some form of a test. Uh so the next column is that users that made a purchase. So this is unique users that made a purchase in this time frame. And unique reach, so the number of actual users that Sponsored Product ad was they were exposed to the product type only and they didn't see any other uh campaign type. Then the total purchases they made. Um so this means that there's a a few users that actually buy more than one product. That's why the user that purchased is the is 1300 and total purchases is 1500. Then you have product sales and reach percent. This is um the percentage of the total reach. So as you can see for Sponsored Products, which is we're spending most money on Sponsored Products, we have the the most of the reach. So 47.56 people uh were reached by only Sponsored Products. And then you have how many total product sales were there. Uh yeah, so we covered and purchase rate. Purchase rate is it's not conversion rate, so don't make that mistake and thinking that the the conversion rate, that's how many people actually saw your ads and how many bought. So it's like it's not clicks and purchases as as a conversion rate, it's impressions, but viewable impressions versus uh how many of them bought. And then on the right, far right, you have you have insight one and insight two. And every insight tells you a little bit like a summary of what you should what kind of conclusion you should derive from each row. So 47.56% of all users were were exposed to Sponsored Products. These users had a purchase rate of 0.12%. Now the most important part here is to analyze how different combination of your campaign types affect the purchase rate and what was the total reach. You can see that we had a limited DSP campaign going on here, but we had a pretty good reach here. But purchase rate uh was really low because it was a specific campaign created for each because we wanted to use some additional value from from Amazon uh during the promotion that we had last last month. Anyway, then you can see that as soon as we ran Sponsored Products and DSP, then you will you can see that our purchase rate grew significantly. So from 0.12% to 0.63% and that's why DSP is very important and I covered that why should even use DSP and if you should use it in my previous video, but here you can see that even though that DSP didn't make any purchase here, like it's really insignificant, like 93.42 euros, that's nothing. And you would think like okay, we need to shut off DSP because it doesn't make any sense, we didn't make any sales. But DSP combined with their ad placements and Sponsored Products actually made much more sense and you increased the actual purchase rate there. So it's a food for thought, so take that into consideration. Well, this was also this campaign ran for a week, so it's nothing. Um but still it made it made a difference. Also, what's worth noting here is that reach percent here is a lot less. So because it's it's two campaign types now. So those people that were that saw DSP and Sponsored Product ad were only 4.76%. So if we had a big usual campaign as we do on DSP, then this reach would be much better and reach percent would increase and then the also total product sales would be much higher. So by only running a DSP for a week, you you saw that it's it's really more than half of what we sold only on on Sponsored Products. Then additional pretty pretty significant change is Sponsored Brands. As you as you know, Sponsored Brands are not driving ranks directly. They are more like protecting your brand name on the headline ad, the first banner ad on the on the top uh results. And very often you cannot measure properly the impact that you have when you're running Sponsored Brand ads. Here you can see that we actually made quite a big difference when when you combine Sponsored Brands and Sponsored Product ads because your purchase rate is now 13.77%, which is which is huge increase to what we had by running only Sponsored Products campaign type. So 47,000 euros and by only reaching a small portion of people. So it's really it's really good results when you combine the campaign types and that's what we keep telling you. You need to to test what's working for you and what's not. Test the Sponsored Products, test the Sponsored Brands, Sponsored uh Display, Sponsored TV. Test everything because you never know where you could find a gold mine for your category. Then next up is DSP, Sponsored Products, Sponsored Television. And you can see that uh the users the reach that we have in Sponsored TV didn't have any significant impact. Yes, purchase rate is still better than just using Sponsored Products uh and DSP, but still it was it was quite quite a small reach compared to how much we spent on Sponsored TV. DSP, Sponsored Brands, and Sponsored Sponsored Products, these may be the the biggest impact that we had and the biggest purchase rate that we had. When you compare that, uh for example, to the number of ad products at the bottom, four ad products. So DSP, Sponsored Brands, Sponsored Products, and Sponsored TV, we clearly saw in this uh case that purchase rate, yes, it was really high, but look at the unique reach. So only 28 people actually saw all four campaign types. And on the second report that we ran specifically for Sponsored TV, we saw that the the the true it's the true data that showed us that it doesn't make any any sense to spend more money on Sponsored TV, even though that we had like a suggestion that we should try it and we did and that's fine. Always test. So when combined, DSP and Sponsored Brands and Sponsored Products actually made quite a change in purchase rate. So, every five every every fifth person who saw these campaign three combination of these three campaign types ended up buying, which is which is which is great. So, they didn't just click, they saw our ad because of the DSP attribution. So, really significant data that shows you which campaign types work for your products and which are not, which can save you thousands and thousands of dollars a month, not to mention how many can save you over a year. This report is my go-to report and I like to check this for every account that we start to manage and we enroll in AMC. Let me know what you think and happy analysis. Bye-bye, guys.

Frequently asked questions

What is the AMC Overlap Report and what problem does it solve that standard campaign reporting cannot?

The AMC Overlap Report shows how different combinations of Amazon ad types, including Sponsored Products, Sponsored Brands, Sponsored Display, DSP, and Streaming TV, affect purchase rate and total sales when shoppers are exposed to more than one of them. Standard Campaign Manager reports show each ad type in isolation, making it impossible to see whether a shopper who bought was influenced by one campaign, two, or all of them together. The Overlap Report addresses this by grouping shoppers according to which combination of ad types they were exposed to and showing the unique reach, total purchases, and purchase rate for each combination. This gives you direct evidence of whether running multiple ad types simultaneously is improving results or whether budget is being duplicated without added benefit.

What is the difference between purchase rate and conversion rate in the AMC Overlap Report?

Conversion rate in standard PPC reporting is clicks divided by purchases: it measures how many people who clicked your ad went on to buy. Purchase rate in the AMC Overlap Report is calculated differently: it divides purchases by viewable impressions, meaning it measures how many people who saw your ad, not just those who clicked it, ultimately made a purchase. Because viewable impressions are a much larger number than clicks, purchase rate will always appear much lower than conversion rate for the same campaign. The two metrics are measuring different things and should not be compared directly. Purchase rate in AMC is most useful for comparing the relative effectiveness of different ad type combinations against each other within the same report.

Why does DSP sometimes show almost no direct sales in the Overlap Report yet still justify its budget?

A DSP campaign running in isolation or for a very short period may show negligible direct sales because DSP operates at a higher funnel level, creating awareness and consideration rather than capturing purchase-ready clicks. The Overlap Report's value is showing what happens when DSP is combined with Sponsored Products. In the example from the video, Sponsored Products alone produced a purchase rate of 0.12%, while the combination of Sponsored Products and DSP produced a purchase rate of 0.63%, more than five times higher, even though the DSP campaign itself showed only 93 euros in attributed sales. The DSP impressions primed shoppers who then converted through Sponsored Products. Evaluating DSP only on its direct attributed sales misses this amplification effect entirely.

What does the Overlap Report reveal about the impact of Sponsored Brands campaigns?

Sponsored Brands campaigns are widely understood to protect brand visibility and reinforce brand recognition, but their contribution to sales is difficult to quantify in standard reporting because they do not directly improve organic ranking. The Overlap Report makes the contribution visible in concrete terms. In the example from the video, shoppers exposed to both Sponsored Brands and Sponsored Products had a purchase rate of 13.77%, compared to 0.12% for Sponsored Products alone. Every additional ad type a shopper was exposed to increased their likelihood of purchasing, with the Sponsored Brands and Sponsored Products combination representing one of the largest purchase rate improvements seen in the data. This is the kind of evidence that justifies Sponsored Brands investment beyond brand defense alone.

How should you set up the AMC Overlap Report to get the most useful results?

When setting up the report in AMC under Use Cases, search for the Sponsored Ads and DSP Overlap template. Name the report with today's date, the marketplace, and the brand or account name so it is identifiable later. Select a date range that reflects a meaningful period of consistent advertising activity, typically 30 to 90 days, since very short windows produce data that is too thin to draw conclusions from. Optionally, you can filter by specific campaign IDs if you want to analyze the overlap for a particular subset of campaigns rather than the full account. The report processes quickly and the output file includes an insight column for each row that summarizes the recommended takeaway, which makes the analysis accessible even for those who are less comfortable reading raw data tables.