How to Combine Amazon Marketing Stream and AMC for 7X Smarter Ads Optimization

If you’re running Amazon ads and still relying on yesterday’s data to make today’s decisions, you’re already behind. The gap between what most advertisers actually see and what’s happening in their campaigns right now is wider than most people realize — and it’s costing real money.

Amazon Marketing Stream and Amazon Marketing Cloud (AMC) are two of the most powerful tools Amazon has ever put in front of advertisers. But here’s the thing: most brands either use one or the other, or they use both without understanding how they actually connect. That’s the opportunity hiding in plain sight.

Amazon Marketing Stream solves the real-time data problem. It pushes hourly campaign metrics directly to your AWS account so you’re never flying blind mid-day. AMC, on the other hand, is a privacy-safe data clean room that lets you run deep, cross-channel analysis using both Amazon’s signals and your own first-party data.

Together, they cover the full spectrum of advertising intelligence: what is happening right now, and why it happened over time. When you learn to connect them, you stop reacting and start anticipating. You move from campaign management to genuine campaign mastery.

This article breaks down exactly how these two tools work, what makes them complementary, and how to combine them in practical ways that drive measurable improvements in ROAS, ACOS, and customer acquisition.

What Is Amazon Marketing Stream and Why Does It Matter?

Amazon Marketing Stream (AMS) is a push-based messaging system that delivers hourly Amazon Ads campaign metrics and near real-time information on campaign changes through the Amazon Ads API. It was introduced in beta in 2022 and addressed a long-standing pain point: the fact that advertisers had to manually pull data from the API throughout the day — a process that was slow, inefficient, and subject to throttling.

Instead of waiting for the next day’s aggregate report, AMS pushes data directly to your AWS environment as it happens. That means you get hourly snapshots of:

• Clicks, impressions, and spend across Sponsored Products, Sponsored Brands, and Sponsored Display
• Budget consumption alerts in near real-time
• Targeting expression performance broken down by placement
• Delta values that show how performance is changing from one hour to the next

How Amazon Marketing Stream Delivers Data

The data pipeline works like this: events occur within Amazon Ads, AMS prepares the data, and then delivers it to your AWS account through either Amazon Simple Queue Service (SQS) or Amazon Data Firehose. You choose the destination that fits your infrastructure. The data arrives as structured JSON messages with consistent schemas, which makes it compatible with downstream analytics tools and custom dashboards.

This push-based model is fundamentally different from how most advertisers have historically worked. Traditional pull-based reporting is like checking your bank balance at the end of the day. Amazon Marketing Stream is more like getting a notification every hour that tells you exactly what happened and what changed. That difference matters enormously when you’re running high-spend campaigns where an hour of over-bidding or a budget that ran out at noon can represent thousands of wasted dollars.

Key Use Cases for Amazon Marketing Stream

• Dayparting and hourly bid adjustments: Identify which hours of the day drive the best conversion rates and increase bids during those windows, then pull back during low-performing hours.
• Budget pacing: Get real-time alerts before your campaign budget exhausts so you can replenish it and avoid going dark mid-day.
• Placement-level optimization: See which ad placements — top of search, product pages, rest of search — are converting best at specific times, then adjust bids accordingly.
• Automated responsive applications: Advanced API users can build applications that automatically trigger bid and budget changes based on real-time data signals.

One case study from a fashion retailer showed a 30% improvement in click-through rates after using hourly data to identify peak shopping times during a seasonal sale and making precise bid adjustments in response.

What Is Amazon Marketing Cloud (AMC)?

Amazon Marketing Cloud is a secure, privacy-safe, cloud-based clean room solution built on AWS Clean Rooms. It lets advertisers run custom analytics queries across pseudonymized signals from Amazon Ads, their own first-party data, and onboarded third-party data — all without ever exposing personally identifiable information.

AMC isn’t a place to run campaigns. It’s a place to understand them. You use it to answer questions that Amazon’s standard reporting simply can’t address, like:

• How many customers saw a Streaming TV ad before converting through a Sponsored Product?
• What is the optimal ad frequency before conversions plateau?
• Which combination of ad types drives the highest lifetime customer value?
• Are the customers acquired through DSP genuinely new to your brand?

AMC is built on AWS Clean Rooms and unifies rich signals across Amazon properties, advertiser data, and onboarded third-party providers, enabling flexible querying over these signals in a privacy-safe environment. Advertisers can use custom insights and audiences generated via AMC to optimize campaign tactics, guide marketing execution, and inform business decisions.

What AMC Lets You Analyze

AMC uses SQL-based queries to explore event-level data across your entire Amazon advertising footprint. At Amazon’s unBoxed 2024 event, the platform was expanded significantly, allowing advertisers to now build audiences and activate them not just for DSP but also for Sponsored Products and Sponsored Brands campaigns. That was a major shift.

Here’s what AMC analysis typically covers:

• Multi-touch attribution: Understanding how each touchpoint in the customer journey contributed to a conversion, not just the last click.
• Path-to-conversion analysis: Seeing the exact sequence of ad exposures — whether someone saw a Streaming TV ad, clicked a Sponsored Brand, and then converted via Sponsored Products.
• Overlap analysis: Identifying how many users are being reached by both your DSP campaigns and your Sponsored Ads at the same time, and what happens to conversion rates when they are.
• New-to-Brand (NTB) insights: Measuring how many of your conversions represent genuinely new customers who haven’t purchased from your brand before.
• Custom audience creation: Building rule-based or lookalike audiences based on behavioral signals, which can then be activated across your ad campaigns.

AMC stands out from other Amazon Ads reporting tools by allowing advertisers to query event-level data across both Amazon DSP and Sponsored Ads campaigns, combining Amazon Ads signals and first-party data to track the customer journey, optimize campaigns, and measure return on investment.

How Amazon Marketing Stream and AMC Work Together

This is where things get genuinely interesting. Amazon Marketing Stream and AMC are not competing tools — they operate at completely different timescales and serve different analytical purposes. When you combine them, you create a full-spectrum intelligence layer over your advertising activity.

Think of it this way:

• Amazon Marketing Stream answers: What is happening in my campaigns right now?
• Amazon Marketing Cloud answers: Why did it happen, and what should I do differently at a strategic level?

Amazon Marketing Stream supplies real-time data on impressions, clicks, and conversions, while Amazon Marketing Cloud analyzes this data alongside cross-channel performance, audience behavior, and long-term trends. Together, these tools enable advertisers to make informed, real-time decisions while maintaining a strategic, long-term view of performance.

Here’s a practical example. Say you’re running a campaign for a new product launch. Amazon Marketing Stream shows you that conversion rates are dropping sharply between 2 PM and 5 PM on weekdays. You can immediately lower bids during those hours to conserve budget. But then you take that hourly data into AMC and run a deeper analysis. You discover that customers who are exposed to your Streaming TV ad during peak morning hours are three times more likely to convert later that afternoon via Sponsored Products. That insight changes your entire media mix strategy — not just your hourly bidding.

The real-time layer tells you when to act. The clean room layer tells you how to act smarter next time.

7 Proven Strategies to Combine Amazon Marketing Stream and AMC

1. Build a Dayparting Strategy Informed by Long-Term AMC Patterns

Start by using AMC to analyze historical conversion data across the day and week. Identify which hours and days your highest-value customers (not just your highest-volume customers) tend to convert. Then use those patterns to program your Amazon Marketing Stream responses — so when the system detects conditions that historically precede a conversion spike, your bids automatically increase.

Most advertisers who do dayparting do it based on generic assumptions. Using AMC’s historical path-to-conversion data makes your dayparting specific to your actual customers.

2. Use Frequency Data from AMC to Trigger Budget Adjustments via AMS

With the optimal frequency AMC solution, advertisers can monitor how KPIs like conversion rate and return on ad spend evolve as ad interactions increase, and determine the most efficient frequency caps for their campaigns. Once you know your optimal ad frequency from AMC, you can build rules into your Amazon Marketing Stream pipeline that pause or reduce DSP spend when a user segment has already hit that frequency threshold. This prevents over-saturation without sacrificing reach.

One CPG brand used this approach to increase impressions by 23% and product detail page views by 44% while maintaining nearly the same budget — simply by adjusting frequency caps based on AMC insights.

3. Create AMC Audiences and Activate Them Based on Real-Time Signals

AMC lets you build custom audiences based on behavioral signals like product page views, add-to-cart events, and previous purchase history. Once built, those audiences can be activated directly in your sponsored ads campaigns. Combine this with Amazon Marketing Stream’s real-time budget and performance data to ensure those high-value audiences are being reached during the hours they’re most receptive.

For example, build an AMC audience of users who viewed your product detail page but didn’t convert within seven days. Then use AMS data to identify which hours see the highest cost-per-click (CPC) for retargeting, and schedule your Sponsored Display bids for that audience to increase precisely during low-CPC windows.

4. Validate Multi-Touch Attribution with Real-Time Performance Checks

AMC’s multi-touch attribution model helps you understand how each ad type contributes to a conversion, not just which one got the last click. Amazon Ads uses advanced machine learning models to analyze trillions of shopping, streaming, and browsing signals to consider the relative contribution of each marketing touchpoint leading to a conversion. But the attribution model is only as useful as the campaign data feeding it.

By keeping your Amazon Marketing Stream data pipeline clean and current, you ensure that the event-level data AMC is querying is accurate. Any gaps in real-time data — for example, a budget running out mid-day and missed impressions — will create blind spots in your attribution analysis. AMS helps you prevent those gaps from happening in the first place.

5. Cross-Channel Overlap Analysis to Prevent Wasted Spend

One of AMC’s most valuable analyses is the overlap query — identifying users who are being reached by multiple ad formats simultaneously. If a user is seeing both your DSP retargeting ad and your Sponsored Display ad for the same product at the same time, you’re likely paying twice for the same impression without any additional lift.

Use AMC to run a quarterly overlap analysis. Then use Amazon Marketing Stream’s hourly spend data to monitor in real time whether certain ad products are over-spending during hours where you’ve already determined overlap is high. Pause or reduce one channel during those windows to redirect budget more efficiently.

6. Identify New-to-Brand Opportunities and Scale Them in Real Time

AMC’s New-to-Brand (NTB) reporting shows you which campaigns, ad types, and ASINs are most effective at acquiring customers who have never purchased from your brand before. This is especially valuable for brands with aggressive growth targets, where acquiring new customers is just as important as defending existing share.

Once you’ve identified your highest-performing NTB ad combinations through AMC, use Amazon Marketing Stream to monitor those campaigns in real time and ensure they never run out of budget during peak discovery hours. A Sponsored Brands campaign that’s driving strong NTB acquisition shouldn’t go dark at 11 AM because no one caught the budget limit in time.

7. Connect First-Party Data to AMC and Use AMS to Measure Campaign Impact

AMC allows businesses to integrate insights from various sources, such as customer relationship management (CRM) systems, email marketing channels, and their own first-party insights, creating a unified view of customers and their interactions across different channels. By onboarding your CRM data into AMC, you can compare how Amazon Ads campaigns perform among existing customers versus prospective customers — a distinction that no standard reporting tool can give you.

Use Amazon Marketing Stream to ensure that the campaigns targeting your CRM-based audiences are performing well in real time, and use AMC to measure the downstream impact on purchase behavior, repeat order rates, and customer lifetime value.

Technical Setup: What You Need to Get Started

Requirements for Amazon Marketing Stream

• Active Amazon Ads API access (AMS is available to agencies, tech partners, and direct advertisers with API integration)
• An AWS account configured with either SQS or Data Firehose as a delivery destination
• Developer resources to establish the API subscription connection
• A data storage and analysis layer — whether that’s a custom BI tool, Amazon QuickSight, or a third-party analytics platform

Requirements for Amazon Marketing Cloud

• An Amazon Ads account with campaign history to query
• SQL proficiency (or access to AMC’s AI-powered SQL generator, which can generate queries from natural language prompts)
• An AMC instance, which requires coordination with an Amazon Ads account executive or through an approved AMC partner
• Optional: First-party data sources like CRM data for onboarding

Connecting the Two

The technical connection between these tools happens primarily through your AWS infrastructure. Amazon Marketing Stream data lands in your AWS environment via SQS or Firehose. AMC runs inside AWS Clean Rooms. If your data pipeline is set up correctly, you can build workflows where AMS data feeds into custom dashboards that also reference AMC audience outputs — giving your team a unified view that spans real-time performance and long-term strategic insights.

For most mid-market and enterprise brands, working with a certified Amazon Ads partner or agency that has native API integrations with both AMC and Amazon Marketing Stream is the fastest path to value. Partners can handle the infrastructure setup, query development, and ongoing optimization work that would otherwise require significant internal technical resources.

Common Mistakes Advertisers Make When Using These Tools Separately

Relying solely on AMS for optimization means you’re making fast decisions with incomplete context. Yes, your bids are current — but do you know if those optimizations are actually acquiring new customers or just re-engaging existing ones? AMC answers that.

Using AMC in isolation is equally limiting. AMC is a retrospective tool. It helps you understand what happened. But without Amazon Marketing Stream keeping your campaigns funded and active in real time, you’re missing the events AMC needs to analyze in the first place.

Ignoring the timing loop is the third common mistake. The insight cycle should look like this: AMS monitors performance hourly → anomalies trigger quick campaign adjustments → AMC analyzes the downstream impact of those adjustments → insights from AMC inform the next set of campaign rules → AMS enforces those rules in real time. Most advertisers break this loop somewhere in the middle.

Real-World Impact: What Brands Have Achieved

The results from using these tools in combination speak for themselves:

• A CPG brand that used AMC’s optimal frequency insights to adjust daily frequency caps increased impressions by 23% and product page views by 44% with nearly the same budget.
• A fashion retailer that used Amazon Marketing Stream’s hourly data to identify peak shopping windows improved click-through rates by 30% during a seasonal sale.
• Brands that use AMC’s new product launch campaigns have seen up to a 9% increase in week-over-week sales growth rates, accelerating their products’ existing sales trajectories.
• L’Oreal US reported that AMC’s generative AI SQL generator significantly accelerated their ability to create and test custom audiences with less technical overhead.

These are not marginal improvements. They represent the kind of compound gains that come from replacing guesswork with data at both the tactical and strategic level.

LSI Keyword-Enriched Recap: Everything in One Place

To summarize the key capabilities: Amazon Marketing Stream provides intraday insights through a push-based data pipeline directly into your AWS environment. Amazon Marketing Cloud is a privacy-safe clean room built on AWS Clean Rooms that enables cross-channel attribution, custom audience creation, and first-party data integration. Together, they power advanced bid optimization, dayparting strategies, multi-touch attribution modeling, NTB measurement, and full-funnel campaign analytics for Sponsored Products, Sponsored Brands, Sponsored Display, and Amazon DSP campaigns.

For additional technical documentation on Amazon Marketing Stream, visit the official Amazon Ads developer guide.

Conclusion

Combining Amazon Marketing Stream and AMC is one of the most effective moves an Amazon advertiser can make in 2025 and beyond. Amazon Marketing Stream gives you the real-time awareness to act fast — adjusting bids, pacing budgets, and responding to intraday performance shifts before they become costly mistakes. Amazon Marketing Cloud gives you the analytical depth to act smart — understanding the full customer journey, building precision audiences, measuring true incrementality, and allocating budget based on what actually drives conversions, not just what looks good in a last-click report. Neither tool is complete without the other. Together, they form a decision-making engine that most of your competitors simply don’t have. The brands that figure this out first will hold a compounding advantage that gets harder to close with every passing quarter.