Ep 585: Amazon Marketing Cloud: 5 Audience Plays to Lower ACOS on Competitive Keywords

13 Feb 2026 · 18 min · 10 chapters

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DTC Podcast Episode Notes

Episode Title

Ep 585: Amazon Marketing Cloud: 5 Audience Plays to Lower ACOS on Competitive Keywords

Episode Overview In this episode of the DTC Podcast, Tyler Masur, Head of Amazon at Pilothouse, discusses the Amazon Marketing Cloud (AMC) and its applications for e-commerce brands. The episode focuses on leveraging AMC for audience building and analytics to optimize advertising spend and improve return on investment (ROI) for Amazon Sponsored Ads.

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Key Concepts Discussed

1. Introduction to Amazon Marketing Cloud (AMC)

  • AMC has transitioned from an "enterprise-only" tool to one accessible to all Amazon sellers.
  • It is designed to enhance audience targeting and provide deeper insights into ad performance.

2. What AMC Does

  • Audience Building: Allows sellers to create specific audiences for campaigns.
  • Analytics: Offers reporting features that layer over existing campaign data to provide deeper insights.

3. Audience Overlays

  • The strategic move of combining broad keywords with qualified audiences.
  • Example: Targeting the broad keyword "cooler" but overlaying an audience of users interested in outdoor activities.

4. Importance of Testing

  • Emphasis on the need to test AMC audiences in new campaigns to prevent negatively impacting existing successful campaigns.

5. Measuring Impact

  • Discussion on measuring the impact of Demand Side Platform (DSP) campaigns on Sponsored Ads and understanding the conversion dynamics between them.

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Tactical Insights

Using AMC Effectively

  • No-Code Templates: Utilize prebuilt audience and analytics templates to avoid the complexities of SQL queries.
  • Testing Isolated Audiences: Always keep audience tests in separate campaigns to ensure clarity on performance and avoid constraining successful campaigns.

Key Takeaways

  • Build a generic keyword campaign and overlay a relevant in-market audience to enhance targeting without incurring high costs.
  • Monitor the performance of different campaigns together to identify which combinations yield the highest conversions.
  • Consider the minimum ad spend threshold (approximately $20,000/month) before fully engaging with AMC’s reporting features.

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Discussion Points

A. Audience Targeting Strategies

  • Discussion about using prebuilt audiences or custom SQL queries for targeted audience creation.
  • Importance of understanding the risks of narrowing down audiences too much.

B. Analytics and Reporting

  • Leveraging prebuilt reports to analyze the performance of multiple campaigns and their combined effects on conversion rates.
  • Utilizing AMC to discern which ASINs are driving conversions versus awareness.

C. Future Trends and Speculations

  • Discussion on Amazon's potential investment in OpenAI and implications for advertising strategies on the platform.
  • Speculation about how the partnership may enhance product recommendations and advertising efficiency.

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Practical Applications for Listeners

  • Experiment with AMC’s audience building tools to refine targeting strategies.
  • Explore the analytics reports available in AMC to gauge the effectiveness of various campaigns.
  • Stay informed about industry trends, such as the intersection of AI and e-commerce, for future strategic planning.

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Conclusion Tyler Masur emphasizes the need for e-commerce brands to harness the full potential of AMC for effective audience targeting and data analysis. The episode serves as a practical guide for Amazon operators and DTC teams aiming to optimize their advertising spend and improve campaign performance.

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Additional Resources

  • [Subscribe to the DTC Newsletter](https://dtcnews.link/signup)
  • [Work with Pilothouse](https://www.pilothouse.co/?utm_source=AKNF585)
  • [Watch on YouTube](https://dtcnews.link/video)

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*These notes summarize the key content and insights from the DTC Podcast episode focused on Amazon Marketing Cloud, showcasing its potential for direct-to-consumer brands.*

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Understanding Amazon Marketing Cloud

0:47 to 1:20

Explaining the functionalities and importance of AMC.

“This episode is brought to you by Contentful.”

Diving Deeper into AMC Features

1:20 to 3:04

Detailed discussion on audience creation and analytics tools in AMC.

“I'm Eric and I am here with Pilot House's head of Amazon, Tyler.”

Utilizing AI for Audience Targeting

3:04 to 4:22

Using AI to improve audience targeting and campaign effectiveness.

“And one is using their prebuilt audiences or analytics and reporting, or to create your own SQL query.”

Strategic Audience Targeting

4:22 to 6:30

Exploring strategic audience targeting for competitive keywords.

“high intent shoppers, to exclude recent purchasers who aren't likely to purchase again, build lookalikes based on high LTV cohorts.”

Analytics Insights from AMC

6:30 to 11:12

Insights on leveraging AMC analytics for campaign optimization.

“And, you know, not every brand is going to be able to compete on the most generic keywords.”

Integrating DSP with Sponsored Ads

11:12 to 14:04

Explaining the relationship between DSP spend and sponsored ads effectiveness.

“When should a brand be thinking about like diving into this stuff?”

Leveraging Pre-built Audiences for Competitive Keywords

14:04 to 15:06

Learn how to effectively use pre-built audiences to enhance your Amazon ad campaigns.

“So listeners out there, go take a look at some pre-built audiences, test out a templated report.”

Impact of Amazon Layoffs and Industry Observations

15:06 to 15:30

Explore the potential implications of Amazon's recent layoffs on platform dynamics and advertising.

“So you can just say, hey, how does my advertising campaign overlap and work with DSP?”

OpenAI and Amazon: A Strategic Partnership

15:30 to 16:58

Discuss the possible $50 billion investment by Amazon in OpenAI and its implications for advertising.

“I just saw that they laid off 16 ,000 people yesterday.”

The Ultimate Partnership: OpenAI Plus Amazon

16:58 to 17:09

Discover why the collaboration between OpenAI and Amazon could revolutionize product recommendations.

“So I'm sure the conversion rates are going to be quite a bit higher, but it's going to be really interesting to see the way all these platforms vie for attention in open AI.”
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Transcript

Automatic transcript. May contain errors.

0:00Tyler Masur:Amazon Marketing Cloud, often referred to as AMC, it's recently been released to all sellers. Before it was kind of gatekept, everyone has access, so it's worth talking about. Amazon's, it tries to be really good at putting your product in front of the right audience, but in a lot of cases, it may not do that efficiently for you. So that's where you need to intervene by creating your own audience and one that you have a high confidence will actually convert for specific keywords or ASINs, etc. There's two ways that you can kind of use this tool for both audiences and analytics.

0:48This episode is brought to you by Contentful. Marketers, you know that feeling when your creative clicks, when that social post sends engagement through the roof, when your outside-of-the-box campaign hits ROI positive, when a personalized homepage turns prospects into customers? It's utter marketing bliss. Contentful helps you create tailored omni-channel experiences without working overtime. No stress, no limits, only possibilities. Get the feels at contentful.com. It's all killer, no filler. I'm Eric and I am here with Pilot House's head of Amazon, Tyler. Welcome to the All Killer, No Filler podcast.

1:26What are we talking about today?

1:27Tyler Masur:So we're talking about Amazon Marketing Cloud, often referred to as AMC. It's because it's recently been released to all sellers before it was kind of gatekept. And the only way that you could really get access to it was from getting an instance from another agency or big brand. So now everyone has access. So it's worth talking about. Is it sort of like Ads Manager in that it helps you buy ads more efficiently? Or are there inventory types that are only available on AMC that previously weren't available to most people? So AMC is essentially a tool that does two things. It can allow you to create audiences to then attach to your campaigns or to review analytics.

2:14Tyler Masur:So like reporting on your campaigns or sales. It kind of is something that overlays your current existing campaign manager. It's not in addition to. ChatGVT says, think of AMC as a data clean room where you can analyze your Amazon ad performance in a much deeper way. Yeah. So that would be the analytics piece. And then there's an audience building piece. And sometimes the analytics will feed your audience building as well. So give me an example of the most effective way we've sort of either built out these reports or build some audiences? For most people listening, I'm going to assume that not everyone has an advanced SQL knowledge here.

2:56Tyler Masur:Yes. Because there's two ways that you can kind of use this tool for both audiences and analytics. And one is using their prebuilt audiences or analytics and reporting, or to create your own SQL query. That said, they do have an AI agent that helps you write SQL queries now. So that's at least more helpful than it was prior. Give me an idea of a SQL query that you'd write with AI, or if you could write SQL, like this would be to, you know, find repeat purchasers or give me an example, give me something tangible that we'd use it for. Yeah. So they already have these prebuilt audiences, essentially.

3:39Tyler Masur:So you can go in, click that fill in a template. But let's say that doesn't satisfy your need. Say you actually want to go out and target customers that browse certain nodes or specific products. That's where you can then use the AI agent to try and get it to do something more specific like that. That said, you will still have to know a little bit of SQL, or you'd have to just improve your ability to prompt it. And maybe you can even take it out, bring it into Gemini, try and prompt again from there to try and optimize it. But I would say anything where a pre-built audience doesn't help you, that's where you're going to have to use this AI agent.

4:21And how are some of the ways we, the examples, you know, chat came up with here to retarget high intent shoppers, to exclude recent purchasers who aren't likely to purchase again, build lookalikes based on high LTV cohorts. We've used all three of those use cases?

4:35Tyler Masur:Yeah, so I think with every audience, it's nuanced to your brand, essentially. So there's a lot of considerations, I would say, before you start applying audiences to certain campaigns that you'll have to consider. just because you can start to apply some of the things that you just said, but it actually might limit your entire audience. And your campaign now goes too narrow. And you're actually not converting on an audience base that you previously were converting on. So it's super important to keep at least net new campaigns that you build separate from your older campaigns. Yeah. And then you can test in isolation.

5:20I think that makes sense. Because I guess with all ad platforms, they generally want you to buy more and then find out what works. They're not always – so sometimes when you come in with too many narrowing things in the beginning phases, it might not work for you. And also, do you find that when you put more custom work into an audience, it's more expensive?

5:41Tyler Masur:So you don't actually have to pay for audience creation. I mean to reach them. Yeah, to reach them. So that's where it gets interesting because really you're using like that ACOS measure in your campaigns to really understand how much you're spending to reach that audience. And Amazon, it tries to be really good at putting your product in front of the right audience. But in a lot of cases, it may not do that efficiently for you. So that's where you need to intervene by creating your own audience. And one that you have a high confidence will actually convert for specific keywords or ASINs, etc.

6:23Which is cool because that allows you to maybe have a more targeted approach when it comes to growing your rank on some of those more competitive keywords, maybe.

6:30Tyler Masur:Exactly. And, you know, not every brand is going to be able to compete on the most generic keywords. Let's say I want to use an example of a brand that we're working with, but I'll take their product and now it's a cooler. So let's say it's like a rugged cooler that you want to bring outside. You don't want to bid on just cooler for that type of product because it's got additional features. It's rugged. It's meant for the outdoors. Some people might be searching for that, but you may actually be able to overlay an audience where you're still targeting generic keywords. So let's say it's just cooler, but then you overlay an audience that you selected based on customers that browsed certain nodes and those nodes were camping and hiking or sports and outdoors.

7:22Tyler Masur:So then you're targeting this audience that might be already qualified for that type of product. And then now you're willing to bid a higher bid on that broader or more generic type keyword. That's interesting. Talk to me about the analytics side of things. I know there's so much power that can be unlocked when you dive in there. What are some of the instances that were sort of, again, I assume it's a thing with Amazon where there's going to be some prebuilt templates for reports, as well as some ones that we like to build. What do we like to do with the analytics? Yeah, so analytics, I would say for most people, you'll have to stay to the no code prebuilt ones.

7:58Tyler Masur:And I'm actually looking at it in behind here now, right now. So they essentially have, I don't know, it's about like 15 prebuilt analytics or reporting that you could pull. When you go beyond that, it starts to get very complex. And even using the query or the AI agent to write your queries, there's a really big breakdown in the type of reporting that you get back. And a lot of these like really big brands are using APIs with the querying and the reporting. So what I would recommend is to stick to the prebuilt ones that are in the console. And then it's not pretty, but I think it doesn't have to be pretty for you to get insights from what that reporting is telling you.

8:48Tyler Masur:So just to kind of list off a few, you can actually look at how multiple campaigns work together to drive an increase in conversion. So you could take your campaigns from your ad suite and then it'll say this campaign, this campaign and this campaign when used together, it increases the conversion for that product by X. but when it's only this campaign and this campaign, you don't really see a conversion increase or in fact, it's very low. That can kind of help you understand, oh, okay, these are actually the integral campaigns that I need to either invest more into or make sure that we're running to ensure that we have that conversion for our customers.

9:34Tyler Masur:So it's good at giving that context and then you can maybe even overlay an audience or you know what to turn on and off from a campaign perspective based on that reporting. In talking with the Amazon team over the years, so much of our wins on the pilot house side come from being efficient, using the tools that are available. I think so many advertisers maybe in the Amazon environment have a bit more of a set it and forget it idea when it comes to toggling these things and overlaying them to find efficiencies. But it sounds like this gives us a lot more toggles. The one thing that I don't – this is what chat suggested is you can see what ASINs are driving awareness versus conversion.

10:14Or potentially even like you could probably look at which ones are driving like repeat buys versus the ones that are more one-time purchases.

10:21Tyler Masur:Yeah. So you could definitely do that. And there's some pre-built audiences that allow you to get to that answer somewhat. it. A lot of what I think Gemini or if you're using like ChatGPT to get this answer, they might be providing use cases from brands that have like advanced analytics or query writing. So some of it might not be available for everyone. But I would urge everyone to just go into the AMC dashboard, You can find it in measurement and reporting and then click no code and analytics in the use case section and just review what type of reporting is available for them to fill out a template and run.

11:08And then just in terms of, you said it's open to all brands now. Previously, it had just been for larger brands and agencies. When should a brand be thinking about like diving into this stuff? Obviously, go check it out. But when does it really become important with the size of a brand to start working on this stuff?

11:22Tyler Masur:I think that's a really good question. I would say from a reporting perspective, that threshold is probably higher because there's more development hours, let's say, that you would need to put in to go and actually get the results from the reporting. So you probably want to make sure that you're spending over a certain amount of dollars, let's say at least like 20K in spend per month. I would say at like the bare minimum before you want to start digging into the reporting element. From an audience perspective, I would say anytime that you have an expensive campaign and you've done everything else, so you've ensured that your content is telling the story that you want it to tell, that your title has the keywords that you expect and want to be in there, and you're at the price point that you think makes sense for the value of your product.

12:18Tyler Masur:After all that's done, then you can say, okay, this is still an expensive campaign. Maybe I do want to overlay an audience that makes sense onto this type of campaign. And I would say the threshold for that is small because if it works, you've now saved yourself money that you can then go reinvest elsewhere or continue reinvesting in that more efficient campaign now. On the Pilot House team, are we diving into the SQL stuff? Do you write SQL queries? I don't personally, like there was a time in my life where I played around with it, but I would say it's more like AI agents that we will use in prompt.

12:59Tyler Masur:We don't have any like expert SQL writer on our side. This is all very interesting. I'm just curious in your day to day with Amazon, what are some of the ways you're interacting with AI? Obviously, the AI is in their tools, but are there other tools that you're using for other parts of the job, whether it's reporting or targeting or anything? I would say that it's really helpful in trying to, let's say, think through the next generation of content that you need to write or create for, let's say, Rufus. You can kind of go back and forth with Gemini to help you ideate and think through some of that stuff.

13:36Tyler Masur:I think we can use it for data sets as well, but I don't think it's like nearly as good as us just creating that template ourselves and then copying and pasting that data in for the report to show up the way that we want it to. I'm sure there are ways that we can prompt it and use it to get even more insights, but I wouldn't say it's being used for that aspect on a daily basis. All right. So listeners out there, go take a look at some pre-built audiences, test out a templated report. And I like your idea of just like after you've, you know, if you're bidding on competitive terms and you've tried all the, you know, all the important T crossing and I dotting, then see if you can overlay an audience that puts people even more in market.

14:23Because there's a lot of audiences that are about like where people are in the funnel as well, right?

14:26Tyler Masur:Yeah, exactly. And that's actually one of the cool ways that you can use this because a lot of people will question their DSP spend. So demand side platform DSP. A lot of people question the incrementality that they get from those types of campaigns. and now you can actually run a pre-built analytics report that says, hey, once they've seen your DSP ad, how do they actually respond to your sponsored brand ad or how do they respond to your sponsored product ad? And that's where you can start to overlay it and get some pretty cool insights on that front. That's actually what I would urge people to use it for and that is a pre-built audience.

15:10Tyler Masur:So you can just say, hey, how does my advertising campaign overlap and work with DSP? And it'll give you this report to show what your conversions are when certain DSP campaigns and certain ad campaigns work together. Great use case for the listeners to go check out. I always like to Google Amazon or Jeff Bezos and our Amazon podcast with some topical news. I just saw that they laid off 16 ,000 people yesterday. I think I'd heard that. But is there anything you've noticing on the platform after the layoffs? No, nothing that we've seen or called out at this point. But I think last time they said when they laid people off that it was more of like a culture thing.

15:53Tyler Masur:And it wasn't related to AI, but it's kind of in the ether and it's up for us to determine because I don't think they really actually tell us why they've done it. The news today is that they're in talks to invest up to$50 billion in OpenAI. Because I think I actually just saw the rate cards going around yesterday for the proposed rate cards for what OpenAI might be charging CPM-wise for ads. And I can just imagine the connection between OpenAI and Amazon will be massive. It's the easiest place to purchase things. So therefore, if it's giving product recommendations, it's maybe most likely to do it in Amazon.

16:28Tyler Masur:So then you're saying that there's like a partnership between OpenAI and Amazon for OpenAI to recommend Amazon products. That's what I guess. I'm just looking at headlines and they're sort of in talks. The news today as of like 24 minutes ago or something was that they're going to invest up to$50 billion in OpenAI. So that to me is where my mind goes because the CPMs I saw yesterday were astronomical because it's not really a – it's not social media. It's a concierge that's taking you directly to what it thinks you should buy. So I'm sure the conversion rates are going to be quite a bit higher, but it's going to be really interesting to see the way all these platforms vie for attention in open AI.

17:06And it looks like Amazon's making quite a bid right now.

17:08Tyler Masur:Yeah, because before that, I think they were giving favor to Etsy. But I mean, Etsy can only do so much versus Amazon. Like it sounds like open AI plus Amazon is the ultimate partnership. Yeah. You heard it here first, folks. Tyler, thanks for coming on the pod today. This was great. Thanks for having me.

17:33Thanks for listening to today's episode. If you're not getting the DTC newsletter, you can subscribe for free at directtoconsumer.co. And if you want to learn more about Pilot House's all killer, no filler services, take off to pilothouse.co. I'm Eric Dick, and this has been the DTC Podcast. We'll see you next time.

17:58Thank you.

From the publisher

Subscribe to DTC Newsletter - ⁠https://dtcnews.link/signup⁠


Amazon Marketing Cloud (AMC) used to feel “enterprise-only.” Not anymore. Tyler Masur (Head of Amazon at Pilothouse) breaks down what AMC actually does, how to use the no-code templates without being a SQL wizard, and the audience overlays that make broad keywords finally make sense.


Role-based hook: For Amazon operators and DTC teams spending real money on Sponsored Ads who want lower ACOS without sacrificing scale.


In this episode, we get tactical on:

  • What AMC is (and isn’t): audience building + deeper measurement layered on top of your existing console
  • How to start with the no-code audience + analytics templates (and when AI-generated SQL helps)
  • Why you should test AMC audiences in net-new campaigns (so you don’t accidentally choke your winners)
  • The “broad keyword + qualified audience” play (example: bidding on “cooler” but only for outdoors browsers)
  • Measuring DSP impact: what happens after someone sees DSP, then hits Sponsored Brands/Products


Who this is for: Amazon managers, DTC founders, and growth teams trying to scale Sponsored Ads past the “set it and forget it” phase.


What to steal:

  • Build a “generic keyword” campaign, then overlay an in-market audience (nodes/categories) so you can bid higher without paying for junk clicks.
  • Keep audience tests isolated in new campaigns; don’t jam audiences into legacy structures and hope.
  • Run the AMC overlap reporting to spot the campaigns that actually increase conversion when paired together (then fund those).


Timestamps:

0:00 Amazon Marketing Cloud is now open to all sellers

2:05 What AMC actually does: audiences and analytics

4:10 No-code templates vs custom SQL queries (and the built-in AI helper)

6:10 Audience targeting strategy to improve ACoS without over-narrowing

8:55 Using prebuilt analytics to see which campaigns lift conversion together

11:10 When AMC becomes worth it based on ad spend and effort required

13:15 How Pilothouse uses AI day-to-day for Amazon work (including Rufus content)

15:20 Measuring DSP incrementality and overlap with sponsored ads using AMC reports

17:30 Platform notes: Amazon layoffs and the OpenAI + Amazon speculation


Subscribe to DTC Newsletter - https://dtcnews.link/signup

Advertise on DTC - https://dtcnews.link/advertise

Work with Pilothouse - https://www.pilothouse.co/?utm_source=AKNF585

Follow us on Instagram & Twitter - @dtcnewsletter

Watch this interview on YouTube - https://dtcnews.link/video

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Ep 585: Amazon Marketing Cloud: 5 Audience Plays to Lower ACOS on Competitive KeywordsThe DTC Podcast · 18 min
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