Amazon Marketing Cloud is Amazonโs privacy-safe, clean-room solution for advanced advertising measurement, audience building, and customer journey analysis. It helps brands see what standard Amazon Ads reports often miss.
For Amazon sellers, D2C brands, and eCommerce managers, AMC helps answer key questions:
- Which ads influenced a purchase?
- Which campaigns bring in new-to-brand customers?
- Where is ad spend overlapping?
- Which audiences should we retarget?
- Which campaigns are adding real value?
Standard Amazon Ads reporting is useful, but it often gives a narrow view. Amazon Marketing Cloud gives brands a deeper way to connect shopper behavior, media performance, audience strategy, and full-funnel growth.
This guide explains what Amazon Marketing Cloud is, how it works, the latest AMC updates, key use cases, and when brands may need expert support to turn AMC insights into action.
What is Amazon Marketing Cloud?
Amazon Marketing Cloud, also called AMC, is a secure, privacy-safe clean room that helps advertisers analyze Amazon Ads signals and approved advertiser inputs. It gives brands deeper insight into advertising performance, customer journeys, and audience behavior.
AMC is not just a reporting dashboard. It is an analytics environment where brands can run queries, review aggregated insights, and build audiences for smarter campaign decisions.
A brand can use Amazon Marketing Cloud to analyze:
- Amazon DSP campaigns
- Sponsored Products
- Sponsored Brands
- Sponsored Display
- Impressions and clicks
- Conversions
- New-to-brand behavior
- Audience overlap
- First-party signals
- Path-to-purchase patterns
- Repeat purchase behavior
In short, AMC helps teams move beyond surface-level metrics and understand how different ad touchpoints work together.
Amazon Marketing Cloud in Plain English
Amazon Marketing Cloud helps brands see the bigger picture behind Amazon advertising. It shows how shoppers move across ad touchpoints before they buy.
For example, a shopper may see a Streaming TV ad, later click a Sponsored Brands ad, and finally buy after clicking a Sponsored Products ad. A standard report may pay most attention to the final click.
AMC helps show how the earlier touchpoints supported that sale.
This makes AMC useful for brands that want better answers, not just more campaign reports.
What Amazon Marketing Cloud Is Not
Amazon Marketing Cloud is not a campaign manager. It does not serve ads directly.
It is also not a tool for viewing individual shopper data. AMC works in a privacy-safe environment and returns aggregated outputs, not personal user-level information.
Think of AMC as an analytics and audience-building tool. It helps brands study ad signals, create custom audiences, and make better advertising decisions.
Why Amazon Marketing Cloud Matters in 2026
Amazon Marketing Cloud matters in 2026 because Amazon advertising is more complex, competitive, and data-driven than before. Brands need better measurement to understand what is actually driving growth.
Rising CPCs, larger media budgets, retail media growth, and cross-channel campaigns have made last-click reporting less useful on its own.
Thatโs where AMC helps to bridge that gap.
| Before AMC | With Amazon Marketing Cloud |
|---|---|
| Heavy reliance on last-click reporting | Better view of multi-touch journeys |
| Campaign-level reporting only | Cross-campaign and cross-media analysis |
| Limited audience insight | Custom audience creation and activation |
| Manual assumptions about ad impact | Query-based measurement |
| Basic attribution | Custom attribution models |
| Limited overlap visibility | Media overlap and frequency analysis |
| Harder to measure upper funnel | Better view of awareness and assisted conversions |
For brands spending seriously on Amazon Ads, AMC resolves deeper questions:
- Which ad sequence led to the sale?
- Which campaigns assisted conversions?
- Which audiences are overexposed?
- Which ASINs bring in new customers?
- Which media mix drives better purchase rates?
- Which customers are likely to buy again?
That is why Amazon Marketing Cloud has become important for brands that want profitable, full-funnel Amazon growth.
How Does Amazon Marketing Cloud Work?
Amazon Marketing Cloud works by bringing privacy-safe advertising signals into a clean room where advertisers can run queries, generate insights, build audiences, and improve media strategy.
The process usually follows five steps.
| Step | What Happens |
|---|---|
| 1. Data signals enter AMC | Amazon Ads signals and approved advertiser inputs become available for analysis. |
| 2. Queries or templates are used | Teams run SQL queries, templates, or partner-supported workflows. |
| 3. Aggregated insights are generated | AMC returns privacy-safe, aggregated outputs. |
| 4. Audiences are created | Brands can build custom audiences from the insights. |
| 5. Actions are taken | Teams adjust campaigns, budgets, audiences, creative, and reporting. |
The goal is not to collect more data for its own sake. The goal is to turn data into better decisions.
Data Signals AMC Can Use
Amazon Marketing Cloud can use different types of privacy-safe signals, depending on the advertiserโs access and setup.
These may include:
- Sponsored Ads signals
- Amazon DSP signals
- Impression data
- Click data
- Conversion events
- New-to-brand signals
- Advertiser first-party data
- Onboarded pseudonymized inputs
- Audience engagement data
- Purchase behavior
This allows brands to analyze performance across multiple campaign types and channels.
For example, a brand can study whether shoppers exposed to both DSP and Sponsored Products perform better than shoppers exposed to only one Amazon ad type.
Privacy-Safe Aggregated Outputs
Amazon Marketing Cloud is built for privacy-safe analysis. It works with pseudonymized inputs and returns aggregated, anonymous outputs.
Advertisers cannot use AMC to identify individual shoppers. AMC is designed to show patterns across groups, journeys, and behaviors, not at the personal user level.
In practice, AMC outputs must pass privacy and aggregation rules before they can be viewed. Many AMC use cases require a minimum audience size or aggregation threshold before results are returned. A common benchmark is 100+ users, though the exact threshold can depend on the query, signal type, and AMC privacy rules.
This matters because modern advertising needs better measurement, but it also needs stronger privacy protection. AMC gives brands a way to understand how groups of shoppers respond to media without exposing individual customer identities.
In simple terms, AMC helps brands answer business questions at scale while protecting shopper-level data.
Key Amazon Marketing Cloud Features
Amazon Marketing Cloud is more than a reporting tool. It combines clean-room analytics, custom reporting, audience creation, first-party signal collaboration, APIs, and AI-assisted workflows.
The most useful AMC features help brands move from โWhat happened?โ to โWhat should we do next?โ
| AMC Feature | What It Does | Why It Matters |
|---|---|---|
| SQL and custom reporting | Builds deeper custom reports | Helps answer advanced business questions |
| AMC Audiences | Creates custom audience segments | Turns insights into campaign activation |
| CDP and first-party data integrations | Connects approved advertiser inputs | Supports richer measurement and targeting |
| Sandbox and templates | Helps teams test and learn faster | Reduces the barrier for new users |
| Paid Features / Shopping Insights | Expands available insight depth | Helps brands go beyond standard campaign signals |
| Ads Agent in AMC | Uses natural language to support queries and audiences | Reduces reliance on manual SQL |
| AMC APIs | Automates reporting, audience, and signal workflows | Helps agencies and enterprise teams scale AMC use |
SQL and Custom Reporting
Advanced teams can use SQL to build custom reports inside AMC. This is useful when standard Amazon Ads reports cannot answer deeper questions about media overlap, path to purchase, attribution, frequency, or repeat purchase behavior.
For example, a brand may want to compare shoppers exposed to DSP plus Sponsored Products against shoppers exposed to Sponsored Products only. AMC can support that kind of custom analysis.
AMC Audiences
AMC Audiences allow brands to turn clean-room insights into campaign audiences. These audiences can support Sponsored Ads, display, and video campaigns across Amazon Ads.
For example, a brand may build audiences of shoppers who viewed ads but did not purchase, shoppers exposed to multiple ad formats, or shoppers likely to reorder.
This is where AMC becomes more than reporting. It helps teams activate the insights they find.
CDP and First-Party Data Integrations
AMC can support approved advertiser inputs, including pseudonymized first-party signals. This helps brands connect Amazon Ads signals to owned data sources where access and setup allow.
For brands with a CDP or strong first-party data strategy, this can improve audience analysis, segmentation, and measurement.
The goal is not to expose customer identities. The goal is to analyze privacy-safe patterns that can improve media decisions.
Sandbox, Templates, and Guided Workflows
Not every team needs to start with custom SQL. AMC offers templates, guided workflows, and partner-supported approaches that help teams answer common questions faster.
These are useful for brands that want to test AMC before building a larger analytics program.
Templates can support use cases such as path-to-purchase analysis, media overlap, frequency analysis, new-to-brand reporting, and audience creation.
AMC Paid Features and Shopping Insights
AMC Paid Features expand the depth and scope of available insights. These can include Amazon Ads-powered and third-party provider signals, depending on access and availability.
For brands with larger media programs, Paid Features can help answer more advanced questions about audiences, shopping behavior, media performance, and cross-channel measurement.
Use these features when standard AMC signals are not enough to explain the business question.
SQL-based reporting in AMC allows customization of metrics such as reach, frequency, and customer retention, ensuring insights align with business goals.
Ads Agent in AMC
Ads Agent in AMC helps users work with AMC through natural language prompts. It can support SQL generation for analytics, audience creation, and AMC product guidance.
This does not remove the need for strategy. Teams still need to know what questions to ask and how to use the results.
But Ads Agent can reduce the time needed to build queries, especially for teams that do not want to rely only on manual SQL.
AMC APIs
AMC APIs help advertisers, agencies, and software partners manage AMC workflows at scale. They can support scheduled reporting, audience management, and signal onboarding.
This is especially useful for agencies, enterprise brands, and advanced teams that need repeatable reporting and audience workflows across multiple accounts or markets.
Amazon Marketing Cloud v/s Standard Amazon Ads Reporting
Amazon Marketing Cloud gives deeper analysis than standard Amazon Ads reporting. Standard reports support campaign management, while AMC enables full-funnel measurement, custom attribution, audience overlap, and advanced insights.
| Reporting Need | Standard Amazon Ads Reporting | Amazon Marketing Cloud |
|---|---|---|
| Campaign performance | Yes | Yes |
| Keyword and product-level metrics | Yes | Limited or query-based |
| Full customer journey | Limited | Strong |
| Multi-touch attribution | Limited | Strong |
| Custom attribution | Limited | Strong |
| Media overlap | Limited | Strong |
| Frequency analysis | Basic | Advanced |
| Audience creation | Basic to moderate | Advanced |
| First-party data joins | Limited | Advanced |
| SQL or custom analysis | No | Yes |
| Privacy-safe clean room | No | Yes |
Standard reports are still important. You need them for daily campaign work like bids, budgets, keywords, ASIN performance, and search terms.
AMC is different. It helps answer bigger questions, such as:
- Are DSP ads helping Sponsored Products convert later?
- Which campaigns are bringing in new-to-brand shoppers?
- Are we over-serving ads to the same audience?
- Which touchpoint sequence has the highest conversion rate?
- Which audience segments should we activate next?
Standard reporting tells you what happened. Amazon Marketing Cloud helps explain why it may have happened.
Key Amazon Marketing Cloud Use Cases
Amazon Marketing Cloud is most useful when brands use it to answer specific business questions. The strongest use cases connect measurement, audience strategy, and campaign action.
| Use Case | What It Helps Answer |
|---|---|
| Path-to-purchase analysis | Which ad touchpoints lead to conversion? |
| Media mix analysis | Which channels work best together? |
| Custom attribution | How should credit be assigned beyond last click? |
| Audience insights | Which shoppers are most valuable? |
| New-to-brand analysis | Which campaigns bring in new customers? |
| Repeat purchase analysis | Which audiences come back and buy again? |
| Incrementality checks | Which campaigns may be adding real value? |
| Budget waste analysis | Where is spend overlapping or underperforming? |
Real AMC Examples: What Better Measurement Can Reveal
AMC is strongest when it turns unclear media performance into measurable business insight. These examples illustrate the type of proof brands should seek when using AMC.
| AMC Example | What AMC Helped Show | Business Value |
|---|---|---|
| Streaming TV + DSP analysis | Streaming TV reached audiences separate from DSP, with 67% incremental reach in one Amazon Ads case study | Helped validate upper-funnel media beyond standard reporting |
| New-to-brand measurement | 69% of streaming TV-attributed sales were new-to-brand in the same case study | Helped prove customer acquisition value |
| Purchase-rate lift | Shoppers exposed to streaming TV ads had 2x higher purchase rates in the same example | Helped connect awareness media to conversion behavior |
| AMC audience activation | Another Amazon Ads case study reported 109% ROAS growth using AMC Audiences and Amazon Shopping Insights | Showed how insights can become activated audiences | New-to-brand growth | Amazon Ads highlights a case where AMC insights helped grow Poppiโs new-to-brand orders by 16x | Shows how AMC can support acquisition-focused growth |
For SalesDuo clients, the same logic applies. AMC should not be used only to produce reports. It should help decide what to scale, what to reduce, which audiences to build, and which campaign paths to budget more for.
Example:
- If AMC shows that shoppers exposed to DSP and Sponsored Products convert better than shoppers exposed to Sponsored Products alone, the media plan should reflect that. The brand may increase DSP support, adjust retargeting windows, or build new AMC audiences based on the stronger path.
- If AMC shows heavy audience overlap between campaigns, the team may reduce waste by adjusting audience exclusions, frequency, and budget allocation.
- If one ASIN brings in more new-to-brand shoppers than other products, that ASIN may deserve more launch support, DSP budget, Sponsored Brands visibility, or cross-sell planning.
Path-to-Purchase Analysis
Path-to-purchase analysis shows how shoppers move from ad exposure to purchase. AMC helps brands see the journey before the final click.
A shopper may not buy after the first ad. They may see multiple ads across different formats before converting.
For example:
- The shopper sees a Streaming TV ad.
- Later, they see a display ad.
- Then, they click a Sponsored Brands ad.
- After that, they return through Sponsored Products.
- Finally, they purchase the product.
Without AMC, the final click may get most of the credit. With AMC, brands can better understand how earlier touchpoints supported the sale.
This helps teams make better budget decisions.
Media Mix Analysis
Media mix analysis helps brands understand which ad formats work best together.
For example, a brand may want to know whether Amazon DSP improves Sponsored Products performance. Or whether Sponsored Brands helps drive stronger new-to-brand results when paired with Sponsored Products.
AMC can help compare different exposure paths:
- Sponsored Products only
- DSP only
- Sponsored Brands plus Sponsored Products
- DSP plus Sponsored Products
- Sponsored Brands plus DSP plus Sponsored Products
Campaigns rarely work in isolation. AMC helps show how the full media mix supports growth.
Custom Attribution
Amazon Marketing Cloud can help brands identify valuable audience segments and turn those insights into custom audiences.
For example, AMC can help identify shoppers who:
- Viewed ads but did not purchase
- Engaged with multiple ad formats
- Purchased once but did not reorder
- Bought one ASIN and may be ready for a cross-sell
- Showed high intent but dropped out before purchase
- Are more likely to become new-to-brand customers
These audiences can then support smarter campaign activation.
This is where AMC becomes highly practical. It not only shows what happened. It helps brands decide who to reach next.
New-to-Brand Analysis
New-to-brand analysis helps brands understand which campaigns, ASINs, and audiences drive first-time customer acquisition.
This matters because not all sales have the same value. A campaign that drives repeat purchases can be useful, but one that attracts new customers may support longer-term growth.
AMC can help brands analyze:
- Which ad types drive new-to-brand orders
- Which ASINs act as entry points
- Which audiences are more likely to be new customers
- Which campaigns assist first-time purchases
- Which media mix improves new-to-brand growth
For D2C brands expanding on Amazon, this insight is especially valuable.
Lifetime Value and Repeat Purchase Analysis
Amazon Marketing Cloud can help brands understand repeat purchase behavior and customer lifetime value patterns.
This is useful for categories such as:
- Supplements
- Beauty
- Grocery
- Pet care
- Baby products
- Household goods
- Consumer electronics accessories
- Health and wellness
For example, a brand may want to know which first purchase leads to the strongest repeat purchase rate. AMC can help identify gateway ASINs, reorder patterns, and cross-sell opportunities.
This helps shift strategy from one-time sales to long-term customer value.
Budget Waste and Incrementality Checks
AMC can help identify where ad spend overlaps, is inefficient, or doesn't add enough incremental value.
This matters because a campaign can look strong in standard reporting but still hide waste.
For example:
- The same shoppers may be overexposed.
- Multiple campaigns may target overlapping audiences.
- A campaign may capture sales that would have happened anyway.
- Upper-funnel campaigns may assist sales but not get enough credit.
- Retargeting may look strong, but it adds limited incremental growth.
AMC helps brands ask better questions before moving budgets.
Instead of shifting spend solely to the highest-ROAS campaign, brands can consider the total impact, overlap, and customer-journey value.
Whatโs New in Amazon Marketing Cloud in 2026
Amazon Marketing Cloud updates in 2026 are making AMC more accessible, more automated, and more useful for full-funnel measurement. The biggest changes focus on no-SQL workflows, Ads Agent, longer lookback windows, Custom Models, APIs, Paid Features, and audience activation.
| 2026 AMC Update | What Changed | Why It Matters |
|---|---|---|
| Ads Agent in AMC | Natural language support for analytics SQL, audience creation, and product guidance | Helps teams move faster with less manual query work |
| 25-month ad traffic lookback | AMC expanded from 13 months to 25 months of ad traffic signals in supported markets | Supports year-over-year and longer-term trend analysis |
| AMC Custom Models | Brands can train and deploy proprietary modeling algorithms using AMC signals | Supports more advanced modeling in a privacy-safe environment |
| AMC APIs | Reporting, audience management, and signal onboarding can be managed programmatically | Helps agencies and enterprise teams scale AMC workflows |
| AMC Audiences | Insights can become custom campaign audiences | Turns analysis into activation |
| Paid Features / Shopping Insights | Brands can subscribe to expanded signal and insight options where available | Helps answer deeper audience and shopping behavior questions |
| No-SQL workflows | Templates, guided workflows, and Ads Agent reduce the need to write SQL manually | Makes AMC easier for non-technical teams to use |
| Signal collaboration | Advertisers can connect approved Amazon Ads, advertiser, and partner signals | Improves measurement and audience strategy |
In the past, AMC was often seen as a tool for technical teams that could write SQL. In 2026, AMC is easier to use because brands can start with templates, guided workflows, Ads Agent, partner tools, and APIs.
That does not mean strategy is automatic. Brands still need clear business questions, clean inputs, strong campaign structure, and a plan for how insights will change media decisions.
AMC is only valuable when the insights lead to better audiences, better budgets, better reporting, and better campaign actions.
Do You Need SQL to Use Amazon Marketing Cloud?
You do not always need SQL to get started with Amazon Marketing Cloud. SQL is useful for advanced custom analysis, but no-SQL workflows, templates, partner tools, APIs, Ads Agent, and guided workflows can reduce the technical barrier.
Do not confuse โno SQL neededโ workflows with โNo SQL.โ AMC still supports SQL-based analysis for advanced users. The point is that newer workflows can help non-technical teams use AMC without having to write every query manually.
| Team Type | Best AMC Approach |
|---|---|
| No SQL skill | Start with templates, Ads Agent, partner tools, or agency support |
| Basic analytics skill | Use pre-built queries, dashboards, and guided workflows |
| Advanced analytics team | Build custom SQL queries and attribution models |
| Agency or enterprise team | Use APIs, automation, and audience activation workflows |
For smaller teams, the best starting point is not a complex query. It is a clear business question.
Examples include:
- Which campaigns drive new-to-brand customers?
- Which audiences are overexposed?
- Which ad types work best together?
- Which ASINs lead to repeat purchases?
- Which shoppers should we retarget?
- Which campaigns assist sales but do not get enough last-click credit?
Once the question is clear, the AMC workflow becomes easier.
Technical skill helps, but strategy matters more. A complex query is not useful if it does not lead to a better business decision.
Amazon Marketing Cloud Eligibility and Access Requirements
Amazon Marketing Cloud is available at no cost to eligible advertisers. Access depends on advertiser eligibility, Amazon Ads setup, region, and whether the brand uses DSP, Sponsored Ads, or an Amazon Ads partner.
There are three common access paths:
| Access Path | Who It Fits | How Access Usually Works |
|---|---|---|
| Amazon DSP advertisers | Brands already using Amazon DSP | Request AMC access through an Amazon Ads account executive or Ad Tech account contact |
| Sponsored Ads advertisers | Eligible Sponsored Ads advertisers | Access AMC through self-service where available |
| Partner-supported access | Brands working with Amazon Ads partners | Use AMC through an approved Amazon Ads Partner Network partner |
AMC is not always the first tool a new seller needs. If your campaigns are simple and ad spend is low, standard Amazon Ads reports may be enough.
AMC becomes more valuable when the brand has:
- Multiple campaign types
- DSP activity
- Significant Sponsored Ads spend
- Full-funnel media
- First-party signals
- Repeat purchase behavior
- New-to-brand goals
- Audience overlap questions
- Attribution or incrementality questions
Before using AMC, confirm access, assign the right users, review permissions, and decide whether your team will use templates, SQL, APIs, Ads Agent, or partner support.
Who Should Use Amazon Marketing Cloud?
Amazon Marketing Cloud is most useful for brands that need deeper measurement, stronger audience strategy, and better advertising decisions. Its value grows when a brand has meaningful ad spend, multiple campaign types, or complex customer journeys.
| Brand Type | Is AMC Useful? | Why |
|---|---|---|
| Small seller with low ad spend | Maybe later | Standard reports may be enough |
| Growing D2C brand on Amazon | Yes | Helps understand audiences and ad overlap |
| 7-figure Amazon brand | Strong fit | Needs better attribution and budget control |
| DSP advertiser | Very strong fit | AMC adds journey and media mix insight |
| Multi-channel brand | Strong fit | Helps connect Amazon and external signals |
| Brand with repeat purchase behavior | Strong fit | Useful for retention and LTV analysis |
If your ad spend is low and campaigns are simple, standard Amazon Ads reporting may be enough. But if your brand is scaling, running DSP, launching multiple ASINs, or trying to understand profitability, AMC becomes more valuable.
A simple rule: the more complex your advertising journey becomes, the more useful AMC can be.
How to Get Started With Amazon Marketing Cloud
To get started with Amazon Marketing Cloud, confirm eligibility, request or access AMC, set permissions, connect the right signals, choose templates or SQL, build reports or audiences, and turn the insights into campaign action.
Do not start with data. Start with the decision you need to make.
Step 1: Confirm AMC Eligibility
First, confirm whether your brand is eligible for AMC access.
DSP advertisers can usually request access through an Amazon Ads account executive or Ad Tech contact. Eligible Sponsored Ads advertisers may access AMC through self-service where available. Brands working with Amazon Ads partners may also use AMC through partner-supported access.
Step 2: Request or Access AMC
Once eligibility is confirmed, request access or open AMC through the available path.
Make sure the right people are involved early:
- Advertising lead
- DSP lead
- Analytics lead
- BI/reporting owner
- Agency or partner contact
- Internal decision-maker
AMC works best when the people using the data are connected to the people making campaign decisions.
Step 3: Assign Users and Permissions
Set user roles and permissions before running reports or onboarding signals.
This helps protect data access and keeps workflows organized. Give access only to the people who need it for analytics, audience creation, reporting, or campaign activation.
Step 4: Connect Data and Signals
Next, decide which signals are needed for the business question.
This may include:
- Sponsored Products
- Sponsored Brands
- Sponsored Display
- Amazon DSP
- Impressions
- Clicks
- Conversions
- New-to-brand signals
- Approved first-party inputs
- Audience engagement data
The goal is to connect the right signals to the right question.
For example, if you want to understand full-funnel impact, you may need DSP and Sponsored Ads data. If you want to study repeat purchase behavior, you may need purchase and audience signals.
Step 5: Choose Templates, SQL, Ads Agent, or Partner Support
Choose the workflow based on your teamโs skill level.
Use templates for common analyses. Use custom SQL for deeper questions. Use Ads Agent or guided workflows when you need faster support with queries or audiences. Use partner support when your team needs help connecting insights to media strategy.
Useful AMC analyses include:
- Path-to-purchase reports
- Media overlap reports
- New-to-brand reports
- Audience segmentation reports
- Repeat purchase reports
- Custom attribution reports
- Frequency and reach reports
- Incrementality checks
Start with one or two high-value questions before expanding.
Step 6: Create Audiences or Reports
After the query or template is selected, generate the output.
The output may be a report, a dashboard insight, a custom audience, or an analysis that informs the next media decision.
Examples include:
- Audience segments for retargeting
- New-to-brand customer insights
- Frequency and overlap reports
- Campaign sequence analysis
- Media mix analysis
- DSP and Sponsored Ads path analysis
Step 7: Activate Insights in Campaigns
AMC insights should lead to specific campaign actions.
Those actions may include:
- Shifting budget between campaigns
- Creating new AMC audiences
- Adjusting retargeting windows
- Changing DSP strategy
- Testing new creative
- Improving Sponsored Ads structure
- Supporting product launches
- Reducing audience overlap
- Improving upper-funnel measurement
This is where many brands fall short. They generate reports but do not change strategy.
AMC should not be a reporting exercise. It should be a decision engine.
Step 8: Measure Impact Over Time
After changes are made, track the impact over time.
Monitor:
- ACoS
- TACoS
- ROAS
- New-to-brand sales
- Conversion rate
- Repeat purchase behavior
- Audience performance
- Incremental reach
- Media overlap
- Total account growth
AMC becomes more valuable when it is part of an ongoing measurement system rather than a one-time analysis.
When Should You Hire an Amazon Marketing Cloud Agency or Partner?
You should hire an Amazon Marketing Cloud agency or partner when your team needs help turning AMC insights into campaign decisions. This is especially useful if you need SQL support, DSP expertise, analytics bandwidth, audience strategy, or a clearer reporting process.
AMC can be powerful, but it can also become overwhelming.
You may need support if:
- You run DSP but cannot explain assisted conversions.
- You rely too much on last-click ROAS.
- You do not know which campaigns drive new-to-brand customers.
- Your team cannot connect AMC insights to campaign actions.
- Your internal team lacks SQL or analytics bandwidth.
- You have overlapping campaigns and unclear attribution.
- Your ad spend is scaling, but profitability is unclear.
- You want to build custom audiences but do not know where to start.
- You need AMC reporting connected to Sponsored Ads and DSP execution.
Brands using AMC alongside DSP should work with a partner that understands Amazon DSP management, audience planning, and full-funnel measurement.
Brands that need AMC tied to broader media execution should also look for Amazon advertising management that connects Sponsored Ads, DSP, AMC insights, ACoS, TACoS, and business growth.
The right partner should do more than pull reports. They should help turn AMC into better decisions.
What Top Amazon Ads Management Agencies Should Do With AMC?
Top Amazon ads management agencies should use AMC to connect reporting, audience strategy, DSP, Sponsored Ads, and full-funnel optimization.
They should help brands answer:
- Which campaigns work together?
- Which audiences should we build?
- Which ad paths lead to purchase?
- Which campaigns waste spend?
- Which channels drive new-to-brand growth?
- Which insights should change the media plan?
- Which reports should be monitored every month?
The best agencies do not treat Amazon Marketing Cloud as a technical add-on. They use it as part of the growth strategy.
AMC should help guide:
- Budget allocation
- Audience segmentation
- DSP strategy
- Sponsored Ads structure
- Retargeting strategy
- Creative testing
- Product launch planning
- Reporting dashboards
- Profitability analysis
That is the difference between having access to AMC and actually using it well.
How SalesDuo Helps Brands Use Amazon Marketing Cloud?
SalesDuo helps brands turn Amazon Marketing Cloud insights into better Amazon growth decisions. The focus is not just reporting. It is using AMC data to improve advertising, audiences, content, and account strategy.
SalesDuo can help brands connect AMC insights with:
- Amazon Ads strategy
- DSP planning
- Sponsored Ads optimization
- Audience segmentation
- ACoS and TACoS visibility
- BI dashboards
- Listing and conversion context
- Product launch decisions
- Account-level growth strategy
This matters because AMC insights are only valuable when they lead to action.
For example, if AMC shows that a certain ad sequence drives stronger conversion, the media plan should change. If AMC shows heavy audience overlap, the budget should be reviewed. If AMC shows a product brings in more new-to-brand customers, that ASIN may deserve more launch or growth support.
A strong Amazon strategy should not separate reporting from execution. The data should shape the campaigns. The campaigns should support the listings. The listings should support conversion. The full account should be measured against growth and profitability.
That is how Amazon Marketing Cloud becomes a growth tool, not just an analytics platform.
Conclusion: Turn AMC Insights Into Better Amazon Growth Decisions
Amazon Marketing Cloud helps brands move beyond basic campaign reporting. It gives advertisers a deeper understanding of customer journeys, media overlap, custom audiences, Amazon attribution, and full-funnel performance.
But AMC is only useful when the insights lead to action.
The real value comes from turning AMC data into better budget decisions, stronger audiences, smarter DSP strategy, improved Sponsored Ads structure, and clearer reporting.
For growing Amazon brands, this can be the difference between guessing and knowing what is actually driving performance.
If your team wants to use Amazon Marketing Cloud to improve advertising efficiency, audience strategy, and profitable marketplace growth, SalesDuo can help connect the data to execution.
Book a 1:1 growth call with SalesDuo.
Amazon Marketing Cloud FAQ
What is Amazon Marketing Cloud?
Amazon Marketing Cloud is Amazonโs privacy-safe, clean-room solution for advanced advertising analytics, audience building, and full-funnel measurement. It helps advertisers analyze aggregated Amazon Ads signals and approved advertiser inputs.
What does Amazon Marketing Cloud do?
Amazon Marketing Cloud helps brands measure customer journeys, analyze media overlap, create custom audiences, run custom attribution, and understand how Amazon Ads campaigns work together.
Is Amazon Marketing Cloud free?
Amazon Marketing Cloud is available at no cost to eligible advertisers. However, brands may still need internal analytics resources, partner tools, or agency support to use it effectively.
Do you need SQL to use AMC?
You do not always need SQL to start using AMC. SQL is useful for advanced custom analysis, but templates, partner tools, guided workflows, and agency support can reduce the technical barrier.
What data is available in Amazon Marketing Cloud?
AMC can include Amazon Ads signals such as impressions, clicks, and conversions; Sponsored Ads data; DSP data; new-to-brand signals; and approved, pseudonymized advertiser inputs.
Is Amazon Marketing Cloud privacy-safe?
Yes. AMC is designed for privacy-safe analysis. It uses pseudonymized inputs and returns aggregated, anonymized outputs rather than individual shopper data.
What is the difference between AMC and Amazon DSP reporting?
Amazon DSP reporting gives predefined campaign performance metrics. AMC enables deeper custom analysis of event- and user-level signals in a privacy-safe clean room, with aggregated outputs.
Can sellers use Amazon Marketing Cloud?
Yes, eligible advertisers can use Amazon Marketing Cloud. Access depends on advertiser eligibility, Amazon Ads setup, and regional availability.
What are AMC audiences?
AMC audiences are custom audience segments built from Amazon Marketing Cloud insights. These audiences can be activated in Amazon Ads campaigns to improve targeting and media strategy.
What are the latest Amazon Marketing Cloud updates?
Recent Amazon Marketing Cloud updates include Ads Agent in AMC, no-SQL workflows, a 25-month ad traffic lookback window in supported markets, AMC Custom Models, AMC APIs, expanded AMC Audiences, Paid Features, and stronger signal collaboration.
These updates make AMC more accessible for non-technical teams while giving advanced advertisers more ways to analyze long-term performance, build audiences, automate workflows, and connect insights to media strategy.
When should I hire an AMC agency?
You should hire an AMC agency if you need help with SQL, custom attribution, DSP strategy, audience activation, reporting dashboards, or turning AMC insights into campaign decisions.
How does SalesDuo use AMC insights?
SalesDuo helps brands use AMC insights to improve audience strategy, advertising structure, ACoS and TACoS visibility, BI reporting, product launches, and full-funnel Amazon growth decisions.
About the Author
Badal Tharayil is a master of customer success, turning first impressions into lasting partnerships. Known for proactive communication and flawless onboarding, heโs the bridge between client satisfaction and operational excellence. Outside work, Badal loves exploring cinema, expressing himself on the dance floor, and staying energized through fitness pursuits.
