Amazon Marketing Stream Guide: How to Use Hourly Ads Data for Smarter PPC

published on 19 August 2026

Amazon Marketing Stream delivers hourly performance metrics together with event-driven campaign notifications through the Amazon Ads API. It helps brands and agencies see what is happening during the day instead of waiting for standard reports.

It is an advanced Amazon Ads data solution for advertisers that need faster insights into campaign performance, budget pacing, campaign changes, and PPC opportunities.

Amazon Marketing Stream is most useful for brands with meaningful ad spend, large campaign portfolios, or teams that have the reporting systems and processes needed to act on intraday data.

In this guide, weโ€™ll explain what Amazon Marketing Stream is, how it works, who should use it, the basics of API integration, practical PPC use cases, common mistakes, and FAQs.

Amazon Marketing Stream Quick Answer

Amazon Marketing Stream is a push-based Amazon Ads data service that sends hourly campaign metrics and near-real-time campaign changes through the Amazon Ads API. The data is delivered to an AWS destination and can then be used in dashboards, alerts, reporting systems, and PPC workflows.

It is best for brands and agencies that manage enough campaigns and ad spend to benefit from intraday monitoring.

A small seller running only a few campaigns may not need this level of setup. A larger advertiser managing hundreds of campaigns, several brands, or major sales events may get much more value from hourly data.

What Is Amazon Marketing Stream?

Amazon Marketing Stream is an Amazon Ads data-streaming service that automatically sends advertising data to your system. Advertisers and partners can subscribe to datasets and receive the information in their own AWS environment.

The main benefit is speed.

Traditional reporting is useful for reviewing campaign performance over longer periods. Amazon Marketing Stream gives teams more detailed hourly data that can support decisions while the advertising day is still in progress.

Unlike standard Amazon Ads reporting, Marketing Stream pushes subscribed data to your system and gives teams more granular hourly insights. Standard reports remain useful for historical analysis, while Marketing Stream is better suited to intraday monitoring and faster campaign decisions.

Marketing Stream is also not a standalone bidding tool. It provides the data that dashboards, alerts, rules, analysts, and PPC systems can use to support campaign decisions.

How Amazon Marketing Stream Works

Amazon Marketing Stream works by sending subscribed Amazon Ads data to an AWS destination, where it can be processed and used in dashboards, alerts, reporting systems, and PPC tools.

The basic flow is:

1. Get Amazon Ads API Access

The first step is getting access to the Amazon Ads API.

Depending on the setup, advertisers or partners may need API access, an access token, profile information, an AWS account, and a clear idea of which Marketing Stream datasets they want to use.

2. Set Up the AWS Destination

Amazon Marketing Stream needs a destination where it can send the data.

Current Amazon documentation includes options such as Amazon SQS and Amazon Data Firehose. The right option depends on your technical setup and how your team plans to process or store the data.

As a practical rule, Amazon SQS is often a better fit when a custom application needs to consume Marketing Stream messages directly. Amazon Data Firehose can simplify delivery when the goal is to route data into supported storage or analytics destinations such as Amazon S3.

3. Subscribe to the Required Datasets

Next, the integration subscribes to the Amazon Marketing Stream datasets your team needs.

The exact subscription depends on the type of advertising information you want to receive. Amazon also has different processes for sponsored ads and Amazon DSP data.

4. Process and Organize the Data

Marketing Stream messages normally need to be processed and organized before marketers can use them.

It may flow into:

  • A data warehouse
  • A business intelligence dashboard
  • An internal reporting system
  • A PPC management platform
  • An alerting system
  • Automated campaign rules

5. Turn the Data Into an Action

This is the most important step.

Hourly data has limited value if nobody knows what to do when something changes.

A simple workflow is:

What happened โ†’ Is it important โ†’ Was a threshold crossed โ†’ Who should act โ†’ What should they do?

This is what turns Amazon Marketing Stream from a data feed into a useful Amazon advertising workflow.

What Data Can Advertisers Use From Amazon Marketing Stream?

Available Amazon Marketing Stream datasets may include hourly traffic and conversion data, budget and pacing signals, campaign-change information, and other advertising data.

For marketers, it helps to separate Marketing Stream data into two broad groups: hourly reporting data, such as traffic and conversion metrics, and near-real-time messaging data, such as campaign or entity changes and budget-use updates. That distinction makes it easier to decide which signals belong in dashboards versus alerts.

Dataset availability can change, so advertisers should check the latest Amazon Marketing Stream documentation before implementation.

Here is how marketers can think about the main signals:

Data Signal What It Tells You Possible PPC Decision
Impressions and clicks How traffic changes during the day Investigate unusual traffic movement
CPC Whether click costs are increasing or falling Review bids or competition
Conversion activity Which periods appear stronger or weaker Review dayparting opportunities
Spend How quickly a campaign is using budget Check pacing
Budget signals Whether a campaign may run out of budget Review budget allocation
Campaign changes What changed in the account Compare account edits with performance movement
Campaign or product health Whether something may require attention Trigger an alert and investigate

Do not make a campaign change every time an hourly metric moves.

Hourly data gives you more detail, but you still need to consider conversion lag, profitability, historical patterns, and how much data is available.

Amazon Marketing Stream API and Integration Options

There are three main ways to set up an Amazon Marketing Stream integration: build it in-house, use a connector or software platform, or work with an agency or technical partner.

The best choice depends on campaign size, reporting needs, technical resources, and how your business plans to use the data.

1. Build an In-House Amazon Marketing Stream API Integration

Larger brands with engineering and data teams may build a custom Amazon Marketing Stream API integration.

This gives them more control over:

  • Data pipelines
  • Storage
  • Dashboard design
  • Alert rules
  • Internal applications
  • Business data connections
  • Custom PPC workflows

The main challenge is the technical workload. Your team must manage infrastructure, permissions, data processing, monitoring, maintenance, and related cloud costs.

2. Use a Data Connector or Technology Platform

A connector or PPC platform can reduce the amount of development work needed.

This option may work well when your team wants hourly Amazon Ads data but does not want to build and maintain the full data pipeline internally.

The tradeoff is that you depend on the platformโ€™s features, reporting setup, and pricing.

3. Use an Agency-Managed Custom Integration

Brands can also work with an agency or technical partner to manage a custom setup.

This can make sense when you want reporting and alerts connected directly to PPC decisions rather than adding a dashboard that is not tied to a clear action workflow.

Option Best For Main Advantage Main Challenge
In-house build Large brands with engineering resources Maximum control More technical work
Connector or platform Teams that want faster implementation Less development work Platform limitations
Agency-managed setup Brands that want data tied to PPC management Strategy and execution together Less direct infrastructure control

Before starting, your team should ideally have:

  • Amazon Ads API access
  • A technical owner or implementation partner
  • An AWS or data destination
  • A reporting or BI layer
  • Clear alert logic
  • PPC owners who can respond
  • A process for measuring the result of any campaign changes

If your team needs help connecting hourly insights with campaign decisions, SalesDuoโ€™s Amazon PPC service can support reporting, optimization, and ongoing campaign management.

A custom setup can also make sense when a brand needs custom Amazon advertising reporting that connects Amazon Ads data with internal dashboards, alerts, or BI systems.

When Should Brands Use Amazon Marketing Stream?

Amazon Marketing Stream makes the most sense when faster data can change what your team does during the day.

It may be useful for brands managing:

  • Meaningful Amazon ad spend
  • Large campaign portfolios
  • Many ASINs
  • Frequent budget pacing problems
  • Prime Day or holiday traffic spikes
  • Multiple brands or accounts
  • Sponsored Ads and Amazon DSP activity
  • Advanced reporting requirements
  • Agency-managed reporting
  • Custom PPC alerts

When Marketing Stream May Be Overkill

Amazon Marketing Stream is not necessary for every seller.

It may not be worth prioritizing if:

  • Ad spend is very low
  • You manage only a few campaigns
  • Traffic is too low to show useful hourly patterns
  • Nobody can act on the data
  • Your campaign structure still needs basic improvements
  • You do not have technical resources or a partner

A smaller account may get more value from fixing poor targeting, wasted search-term spend, weak campaign structure, or under-optimized listings before investing in an advanced data pipeline.

For broader campaign planning, start with a clear Amazon PPC strategy.

If your bigger challenge is overall campaign planning rather than intraday data, focus on your Amazon advertising strategy before investing in a custom Marketing Stream setup.

If your team still needs the basics of campaign formats and targeting, review SalesDuoโ€™s Amazon Sponsored Products guide before moving into advanced hourly data workflows.

Amazon Marketing Stream Use Cases for PPC Optimization

Amazon Marketing Stream is most useful when an hourly signal leads to a clear PPC decision.

The strongest use cases include budget pacing, dayparting, anomaly detection, campaign-change monitoring, seasonal monitoring, and custom reporting.

Use Case Data Signal PPC Action Business Value
Budget pacing Hourly spend and budget use Find campaigns running out of budget too early and review budgets or pacing Helps avoid missing stronger hours
Dayparting Hourly CPC, CTR, CVR, spend, and sales patterns Identify stronger and weaker time windows Supports better spend timing
Anomaly detection Sudden changes in CPC, spend, clicks, impressions, or conversions Trigger an alert and assign someone to investigate Helps teams respond faster
Campaign change monitoring Near-real-time campaign-change data Compare account edits with performance movement Makes campaign changes easier to review
Prime Day and seasonal monitoring Hourly traffic, spend, and conversion movement Monitor pacing during high-volume periods Helps protect budget during important events
Custom dashboards API-delivered reporting data Feed BI dashboards, warehouses, or reporting tools Reduces manual reporting and supports faster decisions

Intraday Budget Pacing

Marketing Stream can show when a campaign is using its budget much faster than expected.

If a campaign is close to running out early, review its conversion performance, profitability, inventory, campaign priority, and expected demand later in the day. If performance supports it, the team can review its budget or pacing strategy.

This can help strong campaigns avoid missing valuable traffic later.

Dayparting

Marketing Stream provides the insights needed for dayparting decisions, while bid or budget scheduling must be implemented through automation tools or API workflows. 

Hourly CPC, CTR, spend, and conversion patterns can help advertisers find time periods when performance is stronger or weaker.

For example, a campaign may get cheaper clicks in the morning but better conversion rates in the evening.

Do not change bids based on one hour or one day. Look for repeatable patterns before adjusting bid or budget timing.

Anomaly Detection

Marketing Stream can help teams spot unusual campaign movement faster.

Useful alerts may include:

  • Sudden CPC increases
  • Unexpected spend spikes
  • Large impression drops
  • Unusual click activity
  • Campaigns running out of budget
  • Sudden conversion changes

A useful workflow is:

Detect โ†’ Alert โ†’ Assign โ†’ Investigate โ†’ Act

An alert is only useful when somebody is responsible for responding.

Hourly CPC, CTR, and CVR Monitoring

Hourly data can reveal changes that daily averages may hide.

However, conversion lag matters. A low conversion rate in the latest hour does not always mean those clicks will never convert.

Avoid aggressive changes based on very recent data alone.

Campaign Change Monitoring

Marketing Stream can help teams compare campaign edits with performance changes.

This is especially useful when multiple people, tools, or agencies manage the same account.

For example:

  • 11:00 a.m.: Bids are changed
  • 12:00 p.m.: Traffic increases
  • 1:00 p.m.: CPC moves above the normal range

The team now has a clearer timeline to investigate.

Prime Day and Seasonal Monitoring

Marketing Stream can be especially useful during high-volume events such as Prime Day, Black Friday, Cyber Monday, and holiday sales.

Teams can monitor:

  • Budget use
  • Traffic changes
  • CPC movement
  • Conversion patterns
  • Campaign health
  • Unexpected issues

This can help advertisers respond faster during short periods when demand changes quickly.

Custom Alerts

Custom alerts help teams focus on changes that actually require attention.

Examples include:

  • A campaign uses 80% of its budget before 2 p.m.
  • CPC moves above an acceptable limit
  • Spend rises while sales remain weak
  • Impressions suddenly fall
  • A priority campaign becomes inactive
  • Performance moves outside its normal hourly range

This reduces the need to watch dashboards all day.

Custom Reporting Dashboards

Marketing Stream can also feed internal BI and reporting systems.

Larger brands may combine advertising data with business information such as:

  • Inventory
  • Product margins
  • Revenue
  • Promotions
  • Retail performance
  • Forecasts

This gives teams more context before making advertising decisions and can reduce manual reporting.

Amazon Marketing Stream vs Amazon Marketing Cloud vs Standard Reports

Amazon Marketing Stream is best for intraday campaign monitoring, Amazon Marketing Cloud is built for deeper analytics, and Amazon Ads console reports are better for standard campaign reporting.

Feature Amazon Marketing Stream Amazon Marketing Cloud Amazon Ads Console/Reports
Main purpose Intraday campaign monitoring Advanced analytics and measurement Standard campaign reporting
Data timing Hourly and near real time Historical analytical environment Periodic
Main question What is happening now? What can deeper analysis tell us? How did campaigns perform?
Best use Pacing, alerts, anomalies Attribution, audiences, customer journeys Routine optimization and reporting
Technical complexity API/AWS integration or partner AMC access and query workflows Lowest
Typical user PPC, agency, and data teams Analysts and media teams Most advertisers

Amazon Marketing Cloud is a privacy-safe analytics environment designed for deeper measurement, custom analysis, audiences, and attribution.

Marketing Stream is more focused on operational advertising data that teams can use during the day.

For more information, read SalesDuoโ€™s Amazon Marketing Cloud guide.

How to Turn Hourly Data Into PPC Decisions

Hourly data becomes useful only when your team has a clear process for deciding when to act.

A simple five-step process is:

1. Observe

Find an important change.

For example, CPC may suddenly increase or a campaign may use its budget faster than normal.

2. Diagnose

Understand why the change happened before taking action.

Review:

  • Data volume
  • Conversion lag
  • Historical hourly patterns
  • Inventory
  • Profitability
  • Recent campaign changes
  • Current promotions

This helps prevent the team from reacting to short-term movement without enough context.

3. Set a Threshold

Decide what level of change requires attention.

This should ideally be defined before the alert happens.

4. Take Action

The right action depends on the problem.

It may include:

  • Changing a budget
  • Adjusting a bid
  • Reviewing a campaign change
  • Checking advertising eligibility
  • Moving spend
  • Escalating an issue

For more bidding guidance, see our Amazon bid management guide.

5. Review the Impact

Check what happened after the action.

Do not assume the change worked simply because it was made. Use the result to improve future rules, alerts, and thresholds.

Hourly changes should also be viewed in a wider performance context. Use relevant Amazon advertising benchmarks to support analysis, but compare them with your own historical campaign data before making decisions.

The goal is not to make PPC changes every hour. The goal is to make faster decisions when the data gives you a strong reason to act.

Common Mistakes With Amazon Marketing Stream

Treating It Like a Magic Automation Tool

Marketing Stream provides data. It does not automatically optimize your campaigns.

It does not know your margins, inventory goals, target ACoS, product priorities, or category strategy.

Automation still requires rules, tools, or PPC systems.

For a broader explanation, read our guide to Amazon PPC automation.

Building Dashboards Without Actions

A dashboard is useful only when it supports decisions.

For every major metric, ask:

What should we do if this number changes?

If there is no clear answer, the metric may not need to be a priority.

Using Hourly Data on Accounts That Are Too Small

Low-volume accounts can produce noisy hourly patterns.

If a campaign gets very few clicks or conversions, one good or bad hour may not mean much.

Ignoring Conversion Lag

Recent clicks may convert later.

Do not treat the latest hour as if all conversions have already been reported.

Reacting to One Bad Hour

One unusual hour is not always a trend.

Compare it with previous hours, past days, and historical patterns before making major changes.

Creating Alerts Without an Owner

Every alert should have:

  • An owner
  • A threshold
  • A response process
  • A priority level

Without this, teams may start ignoring notifications.

Confusing Marketing Stream With AMC or Standard Reporting

Marketing Stream is mainly for hourly and near-real-time campaign monitoring.

Amazon Marketing Cloud is used for deeper analytics and audience work, while standard Amazon Ads reports support historical reporting and routine campaign reviews.

Each tool has a different job.

Should You Build a Custom Amazon Marketing Stream API Integration?

A custom Amazon Marketing Stream integration is worth considering when your advertising operation is too large or complex for standard reporting alone.

It can make sense if you manage:

  • Large Amazon ad spend
  • Several brands or regions
  • Hundreds or thousands of campaigns
  • Advanced BI reporting
  • A centralized data warehouse
  • Custom alerts
  • Frequent budget pacing problems
  • High-volume sales events
  • Managed Amazon advertising operations

Before building, ask:

  1. Which decisions actually need hourly data?
  2. Which datasets do we need?
  3. Who will own the integration?
  4. Where will the data be stored?
  5. Who will respond to alerts?
  6. How will we measure the results?
  7. Could an existing platform or partner solve the problem more easily?

Know the Operational Requirements

A custom integration requires more than connecting an API once.

Teams may need to manage:

  • Amazon Ads API access
  • AWS infrastructure
  • IAM permissions
  • Dataset subscriptions
  • Message processing
  • Duplicate or corrected messages
  • Time-zone handling
  • Data storage
  • Monitoring
  • Subscription health

This is why brands should build a custom integration only when they have a clear use case.

If your main issue is still wasted spend, weak campaign structure, bidding, or poor budget allocation, start with an Amazon PPC audit instead.

Turn Amazon Marketing Stream Data Into Better PPC Decisions

Amazon Marketing Stream gives advertisers faster access to hourly campaign data, but the data only becomes valuable when teams know how to act on it.

For brands with larger and more complex advertising accounts, Amazon Marketing Stream can support budget pacing, alerts, campaign monitoring, reporting, and faster intraday PPC decisions.

If your team needs support turning Amazon advertising data into practical campaign actions, SalesDuo can help with PPC management, reporting, and optimization.

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FAQs About Amazon Marketing Stream

1. What Is Amazon Marketing Stream?

Amazon Marketing Stream is a push-based Amazon Ads service that delivers hourly campaign data and near-real-time campaign updates through the Amazon Ads API. The data can be used in dashboards, alerts, reporting systems, and PPC workflows.

2. How Does Amazon Marketing Stream Work?

Amazon Marketing Stream sends subscribed Amazon Ads data to a configured data destination. The information can then be processed and used in dashboards, internal tools, alerts, or PPC systems.

3. Is Amazon Marketing Stream the Same as Amazon Marketing Cloud?

No. Amazon Marketing Stream is mainly used for hourly and near-real-time campaign monitoring.

Amazon Marketing Cloud is built for deeper measurement, analytics, audience creation, and custom analysis.

4. What Is the Amazon Marketing Stream API?

Amazon Marketing Stream works through the Amazon Ads API. Advertisers and partners subscribe to available datasets, which are then sent to their configured data environment.

5. Who Should Use Amazon Marketing Stream?

Amazon Marketing Stream is best for brands, agencies, and technology providers that manage enough campaigns and ad spend to benefit from hourly monitoring.

It is especially useful for large campaign portfolios, major sales events, custom reporting, and frequent budget pacing needs.

6. What Data Can I Get From Amazon Marketing Stream?

Available datasets may include hourly traffic and conversion reporting, budget and pacing information, campaign changes, and other advertising signals.

Because Amazon may change available datasets, always check the current documentation before implementation.

7. Do I Need a Developer to Use Amazon Marketing Stream?

Yes at least initially, developer resources are needed to establish the Amazon Marketing Stream subscription API connection.

That resource can be in-house or provided by a technology provider, agency, or technical partner.

8. Can Amazon Marketing Stream Improve PPC Performance?

Amazon Marketing Stream can support better PPC decisions by providing faster data for budget pacing, alerts, intraday monitoring, and campaign optimization.

It does not automatically improve ACoS, ROAS, or campaign performance. Results depend on how the data is used.

9. What Is the Difference Between Amazon Marketing Stream and Standard Amazon Ads Reports?

Amazon Marketing Stream pushes subscribed advertising data and provides more granular hourly insights.

Standard Amazon Ads reporting is better suited to historical, scheduled, and routine campaign reporting.

10. When Should a Brand Build a Custom Amazon Marketing Stream Integration?

A custom integration is most useful for brands with high ad spend, large campaign portfolios, advanced BI requirements, custom alerts, or reporting needs that standard tools cannot handle.

Smaller advertisers may find a connector, PPC platform, or managed service more practical.

About the Author

Meet Mamta Mathe, an Associate Content Writer at SalesDuo who specializes in creating practical, research-backed content for Amazon sellers. She enjoys simplifying complex eCommerce topics and helping brands make smarter growth decisions through clear, actionable insights. Outside of work, she loves reading, exploring new ideas, and staying updated on digital marketing trends.

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