All videos

Amazon DSP Ads Frequency Capping Explained with AMC Analysis

Published on June 11, 2025

About this video

Amazon DSP Ads Frequency Capping Explained with AMC Analysis - Learn how to optimize your Amazon DSP frequency cap settings to save money and reach more customers. In this comprehensive guide, we explore the importance of frequency capping in Amazon DSP campaigns and demonstrate how to use Amazon Marketing Cloud to determine the optimal frequency for your ads.

Amazon DSP frequency capping limits how many times the same user sees your advertisement, preventing ad fatigue and negative brand associations. Without proper frequency limits, users may see your product repeatedly across the internet, creating annoyance rather than interest. This video shows you exactly how to find the perfect balance between reach and frequency.

**Amazon Marketing Cloud Analysis**

Using Amazon Marketing Cloud's frequency analysis tools, we demonstrate how to pull detailed reports showing the relationship between ad frequency and conversions. The AMC frequency and conversions report provides crucial data about user behavior at different exposure levels, helping you understand when additional impressions stop generating value.

**Data Analysis with AI Tools**

We show how to process your AMC frequency reports using ChatGPT to create visual charts and insights. This approach transforms complex spreadsheet data into easy-to-understand graphs showing purchases versus ad frequency, purchase rates, and product sales performance across different frequency buckets.

**Implementation Strategy**

Setting your frequency cap at the order level in Amazon DSP ensures consistent application across all line items. This prevents budget waste on users who have already seen your ad multiple times and redirects that spend toward reaching new potential customers. Regular analysis using AMC data helps you refine these settings for different product categories and campaign objectives.

**Budget Optimization Benefits**

Proper frequency capping can significantly reduce wasted ad spend while maintaining conversion performance. The DSP interface shows estimated budget savings from frequency cap implementation, though the actual calculations require deeper analysis through AMC reporting to fully understand the impact on your campaigns.

## Contents **00:00** - Introduction to DSP frequency cap importance **01:03** - Why frequency capping prevents negative brand associations **02:37** - How to access Amazon Marketing Cloud frequency reports **03:56** - Setting up AMC frequency and conversions analysis **04:10** - Running the frequency analysis report **05:27** - Understanding frequency bucket data and metrics **05:56** - Using ChatGPT to analyze AMC frequency data **06:26** - Interpreting purchase rate and frequency relationship **07:33** - Key finding: optimal frequency cap of 5-6 exposures **08:02** - How frequency capping saves money in DSP campaigns **08:14** - Final recommendations for frequency cap implementation

For personalized assistance with your Amazon Advertising strategy, visit https://amazoniappc.com ------------------------------------------------------ Some product links are affiliate links, which means that if you make a purchase, we'll receive a small commission.

💡 If you need a *Helium 10* tool, which we strongly recommend as the industry standard, you can use this link to signup and get 20% OFF for 6 months: https://i.helium10.com/K05Qo9

💡 Use the *Amazon Reimbursements* program to return your money from Amazon for damaged and lost inventory. Any new seller that uses this referral link will get **$400 in free FBA reimbursements.** No promo code is necessary! Use this Getida Link: https://get.getida.com/i3t3sn8cj5x2

💡Sell more with real shopper insights from *ProductPinion* with a *10% OFF for a lifetime* use the following link: https://www.productpinion.com?_from=igor46

💡 If you're still not using *PickFu* you should definitely start! For a 50% OFF on your first PICKFU poll use the coupon AMAZONIA or visit this link: https://www.pickfu.com/#_r_amazonia

💡 Get *2 months* of Free Trial for *SellerBoard* using this link: https://sellerboard.com/?p=01820

Free offer

Get a Free Account Audit

Let our Amazon PPC experts review your account and show you exactly where you're leaving money on the table — no strings attached.

No spam. No commitment. Just actionable insights.

Transcript

Hi guys and welcome to another video on my YouTube channel. I know it's been a while. I've been away busy for so many other things, but we're back and some of you asked me to record additional videos about DSP. So, I've chosen this frequency cap setting and I'm going to demonstrate why is it important for you and how to know how high to set it up in order to save money, but also to reach as many new users as possible. So once you log in in DSP on the right you're usually going to see this frequency cap. It's and it's kind of confusing where it says some gibberish like you saved this amount of money or that. When you click view on details it's even more confusing like uh we estimated you reinvested this amount of money and had this number of impressions. What it actually means is that by setting a frequency cap in your orders on DSP, you limit the number of times that the same user sees your ass. And that's super important because frequent without frequency cap, you can easily have a situation where somebody is seeing your ad too many times, especially if you decide to chase them all around the internet, not only on Amazon. So you will end up building a negative association about your brand that whenever they open something there's your there's your product your product your product. So uh believe it or not that doesn't make any sense that somebody somebody should see your product uh unlimited number of times. So there's a setting in order settings that you can set set at the order level frequency cap and then that's cascaded down to the line item level. But additionally you can set it also on the line item level if you want more granular rank. Now when you open up this uh like a mini report I've selected like the last 90 days and when you hover over like what does it actually means when you when they say budget saved and invested it kind of start to make sense. So this is the estimated amount of budget that without frequency capping would have otherwise been shown to the same users beyond the advertiser set frequency cap and then how to calculate it. So it's really important to know it. But now we're coming to the uh question how to know what's the good impression cap for your campaigns. So let's do that. Um, again we're back to Amazon Marketing Cloud on this because Amazon Marketing Cloud is the one and important one of the most important things that you need to have in your account. If you're not having that, I strongly suggest to do that. So when we go to the Amazon marketing cloud in the use cases, type here frequency. Okay, I already have it. When you type in frequency, you will find Amazon DSP impression frequency and conversions. When you click that and I suggest you put it as a as a star so it's easier next time to find find it you can I strongly suggest that you go ahead and read everything that's shown also see the you have the option to use that like across all the all campaigns you have your frequency across all campaigns or per per campaign so you can segment that out like uh with campaigns ID DSP campaigns okay here they call it DSP campaign but it on in the DSP cell they call it order as you know and then I like the most this part when they have example query results and you can see the preview how your report's going to look like and what it actually means down there in the metrics defined um so back to the actual report so I like whenever I pull some AMC report I like to use the default name of the report just so it's easier for me to to remember which exact report I ran and how I can easily find it later on. So, and I paste that and I put the date like today's June or 25th and I usually add also the the marketplace I'm doing this for date range. Let's select last 90 days. Click submit now because I already done this before uh recording. So when you hit submit down bottom right corner you will see it spinning around until it generates and when when you download you will get something like this. Tam. So it's kind of all around the place. So it's kind of confusing and you cannot draw any conclusion from it. Okay. You can sort it by frequency bucket. This is just the the started and end date and there's a frequency bucket bucket. So frequency bucket number 21 means that users who saw your ad 21 times believe it or not. And then how many purchases, units sold, product sales and all the other metrics like how many unique users, impressions, what's the purchase rate and reach percentage. And similar to the many other reports in audience in in MC, you get like insights uh how to interpret data. But thanks to our good friend Chad GPT, there's an easier way. Just go to your chat GPT. I think it's it can be done on the the free version, but I encourage you to go to the plus uh version. So, I would just go ahead grab the report, pull it, and then I will say that's my spelling. Yeah, I got it right. Then I hit enter, and then we're going to wait for it to crunch the data and give us some kind of a report. And there you have it. After a minute or two, this is what we get. So, purchases versus ad frequency, very, very visually attractive. And you can immediately see how things are going. So on the left you can see the purchases and how purchases are related to the frequency. So you can see easily that around third or fourth iteration of how how many people how much how many times people saw your ad. It's starting to be almost flat. Then purchase rate versus ad frequency almost the same. So somewhere around fifth fifth time should be a threshold I think. Then product sales similar things. So you see it would take ages for you to analyze an analyze manually the all the data depending on your level and skill of the pivot tables and pivot graphs. But here it's really easy win to get everything analyzed. Not only that, but you have also findings here uh for each of the charts shown. So purchases versus ad frequencies. So here purchases peak at a lower mid-frequency range as we saw like around five or six with diminishing returns at higher frequencies and that is followed all along with the each each graph. So the ex the key takeaways the more more most important things out of this data that we pulled from Amazon marketing cloud into chat and did our analysis it's that your perfect frequency cap is five to six exposures. So this is very important. So you see that you will grab most of the sales if you limit your frequency to five or six per user. All everything else beside it, you're just wasting money. So if you don't set it set the frequency cap at five, Amazon DSP is going to continue showing your ad over and over again wasting money because you're being charged in DSP by views, not by clicks. So this is a pure waste of money. So, this is a good way of saving money and showing your ad to more and more audiences. I hope this really helped you clear out the confusion about what's the the correct frequency and before AMC uh utilization, we couldn't even possibly know what would be the best uh frequency cap to set. So, do this for every major order you have in DSP.

Frequently asked questions

What is frequency capping in Amazon DSP and why does it matter for campaign efficiency?

Frequency capping limits how many times the same shopper sees your DSP ad within a defined time period. Without a cap, Amazon DSP will continue serving your ad to the same user repeatedly, which creates two problems: it builds negative brand associations as shoppers encounter your product everywhere they browse, and it wastes budget because DSP charges per impression rather than per click. Every impression shown to a shopper who has already seen your ad many times and not converted is money spent that could have been used to reach a new shopper instead. Setting a frequency cap at the order level ensures the limit cascades down to all line items within that order, giving you consistent control across the full campaign structure.

How do you determine the right frequency cap for your DSP campaigns using Amazon Marketing Cloud?

In Amazon Marketing Cloud, navigate to Use Cases and search for the Amazon DSP Impression Frequency and Conversions report. Run the report for the last 90 days, selecting either all campaigns or specific DSP order IDs if you want per-campaign data. The output shows purchases, purchase rate, product sales, and reach broken down by frequency bucket, where each bucket represents the number of times a unique user saw your ad. The data typically shows purchases and purchase rate rising with initial exposures and then flattening out or declining after a certain point. That inflection point is where additional impressions stop generating meaningful returns, and it defines your optimal frequency cap.

What did the AMC frequency analysis in the video reveal about when DSP impressions stop generating value?

The analysis showed that purchases and purchase rate rose through roughly the third and fourth exposures and then began to plateau sharply. By the fifth or sixth impression, the data was effectively flat, meaning additional impressions beyond that threshold were generating almost no incremental purchases. The conclusion from the analysis is that a frequency cap of five to six exposures captures the vast majority of available conversions from each unique user. Every impression served beyond that threshold is spending budget on a shopper who has demonstrated they are not going to convert regardless of how many more times they see the ad.

How can you use ChatGPT to make sense of the AMC frequency report data?

The raw AMC frequency report downloads as a spreadsheet with rows for each frequency bucket and columns for purchases, purchase rate, product sales, unique users, impressions, and reach percentage. The data is not immediately intuitive in tabular form and manually building pivot charts takes time. A faster approach is to upload the downloaded file directly into ChatGPT with a prompt asking it to visualize the relationship between ad frequency and purchases, purchase rate, and product sales. ChatGPT generates clear line charts within a minute or two that immediately show where the inflection point is and provides a written summary of the key findings including the recommended frequency threshold. This makes the analysis accessible without requiring advanced spreadsheet skills and produces a shareable output that can be included in a client report or account review.