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Amazon Advertising Funnel Performance Metrics Complete Guide for Brand Growth

Published on October 14, 2025

About this video

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Learn how to use Amazon's funnel performance metrics, a powerful tool inside Brand Metrics in Campaign Manager that provides first-party data from Amazon. This comprehensive guide shows you how to analyze awareness, consideration, and purchase stages of your Amazon advertising funnel to understand how your brand performs against category competitors.

Funnel performance metrics gives you exclusive data you cannot find anywhere else, comparing your brand to most comparable peers rather than the overall category. The tool breaks down into three main stages: awareness stage shows brand searches and detailed page views, consideration stage reveals how many brand searches convert to page views, and purchase stage displays customer lifetime value metrics.

The awareness stage metrics include brand search volume, detailed page view rates, and how you stack against category medium and category top performers. You can see trending data showing week-over-week performance changes and understand where your Amazon ads campaigns need improvement.

Consideration stage data shows conversion from brand searches to actual page engagement, with comparative analysis against your competition. This Amazon advertising intelligence helps identify optimization opportunities for your sponsored products, sponsored brands, and Amazon display ads campaigns.

Purchase stage metrics reveal top 10 percent buyers, subscribing customers, and return on engagement calculations. Return on engagement measures average sales after initial purchase that customers historically generate for your brand, giving insights into customer lifetime value and repeat purchase behavior.

The tool provides actionable insights for Amazon PPC optimization by showing exactly which funnel stage needs attention. If awareness is low, you can increase sponsored display ads or sponsored brand ads. When consideration drops, focus on Amazon listing optimization and product detail page improvements.

This Amazon advertising strategy approach eliminates the need for external tools since all competitor comparison data comes directly from Amazon's first-party sources. Regular monitoring of these Amazon ads metrics helps track campaign performance improvements and guides budget allocation across different Amazon advertising campaign types.

Contents: 00:00 Introduction to Funnel Performance Metrics in Brand Metrics 00:33 Understanding Awareness Stage Metrics and Competitor Comparison 01:43 Analyzing Consideration Stage Data and Page View Conversion 02:27 Add to Cart Metrics and Total Shoppers Analysis 03:35 Purchase Stage Metrics and Customer Lifetime Value 04:15 Return on Engagement Explained and Implementation Strategy 05:02 Using Data for Amazon Advertising Campaign Optimization

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Transcript

Hi guys, today let's talk about funnel performance metrics is it's a tool that you can find in brand metrics in your campaign manager which can really give you the information which you cannot find anywhere else. So it's first party data from Amazon. So if we decide to trust it, you will have uh meaningful results here. So by the overall look, it's kind of completely confusing. You have this awareness stage then you have consideration stage and at the end you have purchase stage and a lot of metrics here to make your head hurt. Now let's go one one by one awareness page uh awareness stage. So first you will have uh the these big circles like 61 62 and 60. What that means is that you're better than 61% of the similar products similar brands out there. If you hover over you will see that this is a comparison of your most comparable peers which is really uh important little detail because it's not like the overall cy category but most comparable peers and is predictive and casually linked to sales casually linked to sales but it gives you an estimate as Amazon likes to give for many other things on where you are in the awareness phase consideration and purchase same goes for the blue circles here. Then for each of the stage of the stages of the funnel you have different metrics here you you have brand searches only. So people who search for your brand but didn't do anything with it just search for it landed on the search results page and browsing to see all the results out there. So not necessarily they didn't do anything. And you have uh similar as on my one of my previous videos where we compared the conversion rates. Here you can compare your brand to the category median and category top in the awareness FA phase consideration and purchase. Here you can see that this brand is much better than category median but far far away from category top because it's pretty competitive category. Then moving on to the consideration phase. Now this is this gets even more interesting now uh for you can see how many of them saw the detailed page view only. So they saw your PDP and how you stack against your competition. So where is your brand compared to the category median uh median and category top and then you have how many brand searches end up with detail page views and how you're trending. Are are you trending up and down? In this case, it's 16% compared to the previous comparing uh previous period we're comparing with and it's going in the right direction. Still around category median and as everything else far from category top but we're happy so far but this is the account that we just started working on and over the next period of several months you will see these numbers increasing. Uh also you have add to carts and total shoppers. how how many people added to cart in this reporting period of last week and how what how you compare that with category median and category. So this thing just here what I me what I just shared is something that will really give you an understanding on how you're doing compared to your competitors. So you don't need any external tools. you ju just dive in in and check the numbers and for each of these uh stages of the shopping panel just click learn how to grow shop consideration learn a little bit about this and it will be much better when once you understand how you're stacking up and what is it that you need to improve. Now on the right side you will see that funky name like return on on engagement. In theory, this is these are the values that in the historical values how every customer that shopped from you before, what's the value of that each shopper, you know, and is it going up, is it going down? Me personally, I don't even look at it because I don't know, it blows my mind, but it actually means at least in this uh stage of the funnel. So, I know if you know it, please enlighten me. I would like to learn more about it because so far I haven't been able to wrap my head around it. Um you know like return on engagement whatever anyway purchased uh part of the funnel is that which everybody likes. Now you have the three types of reporting here. So you have ton top 10% uh buyers and uh subscribe and save customers uh and how you're driving and how sorry how many of them you're driving here on this weekly level and again comparison to category medium category top and all other brand customers. So these are like top 10% that you're really interested in and all the other brand customers and how you're stacking week over week and how you stacking against the others. But here return on engagement really makes sense because it shows you on average how after the the initial purchase what's the value of the other purchases that people make once they buy uh for the first time. You can see more information when you hover here and you will see that shoppers who purchase from your brand in this reporting period. Return on engagement measures the average sales after initial purchase that purchased shoppers have historically generated for your brand this category. So it means that um now what's the you can even tie it to customer lifetime. So how many uh sales were generated from them uh after the initial purchase and what's that compared to the category top and category median and of course you have digital shoppers here. Um it may be confusing and if you're confused that's perfectly fine. You just need to go back here every now and then and and read through what's available here in the documentation and you know analyze the data. week over week, month over month and you will get the sense you will see the changes here. For example, if you want to increase your awareness, you can run sponsored display ads, you can run sponsored brand ads or even all the other ad types. But if they're tailored in a way to increase your awareness and then once the data settles in, you will see an increase here. So it's a it's a living thing. So next week if we do that next week we could potentially see 72 here or 80 something you know and then portion of those people who are now in the awareness stage will move to consideration stage and then also move to the purchase one. So it really gives you an information which kind which strategy will work for you and where you need to work on. So let me know if you uh find this useful and see you in the next video guys. Bye-bye.

Frequently asked questions

What is the Return on Engagement metric in Amazon Brand Metrics and what does it measure?

Return on Engagement appears in the Purchase stage of the Brand Metrics Funnel Performance view. It measures the average value of sales that customers have historically generated for your brand after their initial purchase, based on the behavior of previous buyers in the same reporting period. In practical terms, it quantifies the downstream value of each new customer: shoppers who bought from your brand once go on to generate additional purchases, and Return on Engagement captures that compounded value. The metric is compared against category median and category top benchmarks, so you can see whether your customers tend to return and repurchase at higher or lower rates than comparable brands. For consumable products or brands with multiple complementary products, this figure is particularly meaningful because it directly informs how much you can justify spending to acquire a new customer in the first place.