Amazon Ads Data Manager 2026: How Sellers Can Combine First-Party Customer Data With Amazon Shopping Signals

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Amazon is making first-party customer data a much bigger part of its advertising system.

On September 28, 2026, Amazon launched a redesigned Ads Data Manager (ADM) experience that gives advertisers one central place to connect, organize, monitor and activate their own customer and conversion data across Amazon Ads.

Brands can bring in information from sources such as website activity, CRM audiences and conversion events, then combine those signals with Amazon's shopping, browsing and streaming intelligence for advertising, measurement and AI-powered optimization. Amazon Ads

The important change is not simply that Amazon accepts first-party data.

It is what can happen after the data arrives.

Amazon says Ads Data Manager can now feed signals into destinations including Amazon Marketing Cloud, Sponsored Ads, Display, Video, Audio and Amazon Ads Agent, creating a much more connected advertising ecosystem. Amazon Ads

At Adorbix, we see the opportunity like this:

YOUR CUSTOMER DATA + AMAZON SIGNALS → BETTER AUDIENCES → BETTER AI → BETTER MEASUREMENT → BETTER BUDGET DECISIONS

For brands, that could reduce one of Amazon advertising's biggest historical weaknesses:

Knowing a lot about what customers do on Amazon, but not always connecting that behavior cleanly with what those same customers do across the rest of your business.

What Is Amazon Ads Data Manager?

Ads Data Manager is Amazon's centralized system for onboarding and managing first-party advertiser data.

First-party data is information collected directly through your own customer relationships.

Examples can include:

• website visitors,
• purchasers,
• CRM audiences,
• email subscribers,
• loyalty segments,
• conversion events,
• customer-value scores,
• product preferences.

Amazon originally launched Ads Data Manager as a way to upload first-party information once and reuse it across Amazon advertising and measurement products.

The 2026 redesign expands that concept considerably.

Advertisers now get dedicated areas for:

Sources

Where data enters Amazon Ads.

Datasets

Where advertisers manage quality, attributes, permissions and lifecycle.

Destinations

Where those signals can be activated across Amazon advertising and analytics. Amazon Ads

That makes ADM less like a simple upload utility and more like a:

FIRST-PARTY DATA COMMAND CENTER

What Data Can Brands Connect?

Amazon says advertisers can bring signals into Ads Data Manager through several methods.

These include:

No-code file uploads

Amazon Ad Tag

Amazon Ads API

and:

Third-party connector integrations. Amazon Ads

That means a sophisticated enterprise brand can automate data ingestion through APIs or customer-data platforms.

A smaller advertiser may be able to start with a simpler file upload.

This matters because first-party data historically required substantial technical infrastructure.

Amazon is trying to make the process more accessible to advertisers with different levels of data maturity.

What Does “First-Party Data” Actually Mean for an Amazon Seller?

Imagine your brand sells on Amazon and through Shopify.

Amazon knows what happens inside its ecosystem.

Your Shopify store knows what happens there.

Your CRM knows which customers:

• subscribe,
• reorder,
• abandon,
• purchase high-value products.

Those systems historically exist separately.

Ads Data Manager creates a pathway for your brand's own customer intelligence to help inform Amazon advertising.

For example, you might have an audience consisting of:

High-value repeat customers.

Another consisting of:

Website visitors who never purchased.

Another consisting of:

Customers who purchased Product A but not Product B.

Those audiences can become useful advertising inputs instead of sitting untouched inside your CRM.

The Big Opportunity Is Combining Your Signals With Amazon's Signals

Your first-party data is valuable.

Amazon's shopping signals are valuable.

The more interesting opportunity comes from combining the two.

Amazon describes Ads Data Manager as a way to strengthen advertiser first-party signals with its broader shopping, browsing and streaming signals, as well as Amazon ad technology and AI. Amazon Ads

Think about the difference.

Your CRM might tell you:

Customer bought our premium coffee maker.

Amazon may have additional context around:

What categories similar audiences research, browse and purchase.

Your website data might tell you:

Customer viewed running shoes.

Amazon signals may help advertising systems find other audiences with similar commerce behavior.

This is where first-party data becomes an optimization signal, not simply a remarketing list.

Amazon Ads Agent Can Use First-Party Signals Too

One of the biggest changes in Amazon advertising during 2026 is the rise of Amazon Ads Agent.

Ads Data Manager now connects directly into that AI-powered advertising environment. Amazon Ads

That is strategically important.

AI optimization is only as good as the signals guiding it.

Imagine telling Amazon:

Find more customers.

That's broad.

Now imagine feeding Amazon an audience composed of:

Your most profitable repeat purchasers.

The system has a stronger signal about the kind of customer you value.

At Adorbix, we'd think about this as:

FIRST-PARTY DATA = AI GUIDANCE

not merely:

FIRST-PARTY DATA = RETARGETING

Brand+ Can Use Your Audience Data as an Optimization Signal

Amazon expanded Brand+ in 2026 to support Audience Signals.

Advertisers can bring first-party audiences into Brand+ prospecting through Ads Data Manager and use those audiences as signals to guide Amazon's AI while still allowing the system to discover additional relevant customers. Amazon Ads

This distinction matters.

You are not necessarily telling Amazon:

Only advertise to these customers.

Instead, you can be saying:

These customers represent the kind of audience we value. Use that information when finding new opportunities.

That makes CRM data useful for:

Prospecting,

not only:

Remarketing.

Performance+ Can Use First-Party Audiences Too

Amazon has also added Audience Signals to Performance+.

Advertisers can provide first-party audiences through Ads Data Manager to help guide customer-acquisition and consideration campaigns. Amazon Ads

That creates a powerful potential workflow.

Imagine your brand identifies:

Customers with the highest lifetime value.

Feed that segment into ADM.

Use it as an Audience Signal.

Allow Performance+ to look for incremental customers who share relevant characteristics.

The advertising question changes from:

Who clicked our ads?

to:

Who looks more like the customers who create the most business value?

That's a much stronger customer-acquisition strategy.

Ads Data Manager Now Connects to Sponsored Ads

This is especially important for smaller Amazon sellers.

First-party data capabilities are no longer positioned only as sophisticated DSP functionality.

Amazon says Ads Data Manager is expanding first-party data activation across campaign types, including Sponsored Ads. Amazon Ads

That makes the opportunity more relevant to businesses that may never have operated a large Amazon DSP program.

A seller that primarily runs Sponsored Products and Sponsored Brands can increasingly participate in Amazon's first-party data ecosystem.

This is a significant democratization of ad-tech functionality.

Amazon Says First-Party Data Can Improve ROAS

Amazon's small-business guidance says advertisers using first-party data with Amazon Ads experienced approximately a 30% increase in ROAS compared with advertisers who did not.

That is an Amazon-reported aggregate result and should not be treated as a guaranteed outcome for every advertiser. Amazon Ads

The more useful takeaway is:

Better signals can improve optimization.

But first-party data only creates value when the data itself is useful.

Uploading:

every customer you've ever had

does not automatically improve advertising.

The quality of the audience definition matters.

Customer Quality Matters More Than Audience Size

Imagine two first-party audiences.

Audience A:

500,000 email addresses.

But many are:

• old,
• inactive,
• low-value,
• poorly segmented.

Audience B:

20,000 customers

who:

• purchased twice,
• have high average order value,
• rarely return products,
• demonstrate strong retention.

Which audience is a better signal for acquisition?

Potentially:

Audience B.

At Adorbix, we'd prioritize:

SIGNAL QUALITY OVER DATABASE SIZE

AI needs to understand what “good customer” actually means to the business.

Lifetime Value Becomes an Advertising Input

One particularly interesting feature in the redesigned ADM is the ability to work with custom business attributes such as lifetime-value scores. Amazon Ads

That creates a more sophisticated advertising model.

Instead of treating:

every purchase equally,

brands can communicate that some customer relationships are more valuable.

Imagine:

Customer A buys once for:

$40.

Customer B spends:

$800 over 12 months.

Traditional conversion optimization might value the first transaction similarly.

First-party LTV signals can help create a richer definition of customer quality.

For Adorbix, that means customer acquisition can increasingly be evaluated around:

VALUE OF CUSTOMER ACQUIRED

not merely:

COST OF ORDER ACQUIRED

The New Datasets Tab Is About Data Quality

Uploading data isn't enough.

Bad data produces bad outcomes.

Amazon's redesigned Ads Data Manager includes a Datasets section designed to help advertisers monitor and diagnose the quality of the information being sent into Amazon Ads. Amazon Ads

Brands can manage:

• attributes,
• lifecycle,
• access,
• sharing,
• deletion,
• consent and compliance.

This is important because data pipelines break.

Perhaps:

• fields stop populating,
• conversion events disappear,
• customer identifiers become incomplete,
• audience refreshes fail.

If AI is using those signals for optimization, data-quality issues can quickly become advertising-quality issues.

First-Party Advertising Requires First-Party Data Governance

The more data advertising teams use, the more governance matters.

Brands need clear answers to questions such as:

Where did this customer information come from?

Do we have permission to use it?

Which advertising accounts can access it?

When should it be deleted?

Which agency partners can see it?

Amazon says Ads Data Manager includes data controls and consent-management functions designed to help advertisers manage those responsibilities. Amazon Ads

But the advertiser remains responsible for following applicable privacy laws and policies.

European Advertisers Need to Pay Particular Attention to Consent

For advertisers uploading data relating to users in the UK and European Economic Area, Amazon requires supported privacy-consent signals to accompany applicable data uploads.

Amazon currently lists mechanisms including:

• IAB Transparency and Consent Framework signals,
• Global Privacy Protocol,
• Amazon Consent Signal. Amazon Ads

This should not be treated as optional implementation detail.

If you are building first-party data activation in Europe, involve:

legal,

privacy,

and:

technical teams

early.

Adorbix can help structure advertising use cases, but brands should obtain appropriate professional privacy/legal advice for their specific obligations.

Amazon Marketing Cloud Is Where First-Party Data Gets Even More Powerful

Ads Data Manager also feeds first-party signals into Amazon Marketing Cloud.

AMC is Amazon's privacy-safe analytics and clean-room environment where advertisers can combine Amazon Ads signals with their own pseudonymized data for deeper analysis and audience creation. Amazon Ads

That opens up much more sophisticated questions.

For example:

Do customers exposed to Streaming TV have higher repeat purchase?

Which first-party customers later interact with Sponsored Products?

Which website visitors become Amazon purchasers?

Which existing customers should be excluded from acquisition campaigns?

This goes well beyond standard PPC reporting.

Existing Customers Can Be Suppressed From Acquisition Campaigns

One of the smartest first-party data use cases is often:

who not to advertise to.

Suppose your goal is new customer acquisition.

Why pay aggressively to advertise to:

loyal customers who were already likely to repurchase?

First-party audiences can help identify existing customers so brands can build suppression logic in supported advertising workflows.

That can potentially improve acquisition efficiency because more budget is directed toward incremental audiences.

This is a particularly valuable Adorbix use case.

Rather than asking only:

Who should we target?

we also ask:

Who should we stop paying to reacquire?

First-Party Data Can Improve Lookalike Strategy

Ads Data Manager can also support Amazon AI and lookalike audience development. Amazon specifically highlights first-party signals as inputs that can strengthen programmatic optimization and audience modeling. Amazon Ads

The quality of the seed matters.

Instead of building a lookalike from:

everyone who visited the website,

consider creating one from:

highest-value purchasers.

Or:

repeat subscribers.

Or:

customers with strong product-margin profiles.

A better source audience can create a better acquisition hypothesis.

Website Activity Becomes More Useful Through Amazon Ad Tag

Amazon's Amazon Ad Tag provides another route for first-party signal collection.

Brands can use it to send website activity and conversion information into Amazon Ads, subject to relevant privacy requirements.

The redesigned Ads Data Manager makes tag setup and signal management part of the broader Sources workflow, while Amazon is also expanding access to data-quality insights and manager-account capabilities. Amazon Ads

This can help connect:

Amazon advertising exposure

with:

off-Amazon website behavior.

For omnichannel brands, that's increasingly important.

The Biggest Opportunity Is Connecting Amazon and DTC

Many Amazon brands also operate Shopify or another direct-to-consumer storefront.

Traditionally, the channels are analyzed separately.

Amazon says:

Amazon sales.

Shopify says:

Shopify sales.

CRM says:

customer lifetime value.

Ads Data Manager begins creating infrastructure that can make those environments work together more intelligently.

At Adorbix, our preferred model would be:

AMAZON + DTC + CRM + MEDIA = ONE CUSTOMER STRATEGY

not four disconnected marketing strategies.

Example: A DTC Customer Who Has Never Purchased on Amazon

Suppose someone visits your website repeatedly but never purchases.

That audience may represent:

high interest but low conversion.

Through a first-party data strategy, the brand may be able to activate supported audiences through Amazon Ads.

Now the shopper might encounter:

Display.

Video.

Sponsored Ads.

Amazon's commerce context adds another layer to the brand's own intent signal.

That is a much more sophisticated remarketing strategy than repeatedly showing the same Meta ad.

Example: Amazon Buyers Who Could Become Repeat Customers

The strategy can work in the other direction too.

Suppose your product creates strong customer retention.

The real business objective is not simply:

first purchase.

It is:

repeated customer value.

By combining advertising signals with your own customer intelligence in AMC and ADM-supported workflows, a brand can increasingly evaluate which acquisition sources generate the strongest downstream behavior.

That changes media planning.

You may discover that:

the campaign with lower initial ROAS

creates:

the better long-term customer.

That insight can be worth far more than another bid adjustment.

Ads Data Manager Could Be Especially Important for Subscription Brands

Subscription and replenishment products naturally benefit from LTV thinking.

Examples include:

• supplements,
• pet products,
• beauty,
• food,
• consumables.

A customer acquired today may purchase for years.

For those businesses, optimizing advertising around:

initial order ROAS

can be misleading.

First-party data gives Amazon's advertising ecosystem more context about:

retention and customer quality.

That can help move acquisition strategy toward:

CUSTOMER ECONOMICS

instead of:

ORDER ECONOMICS

Amazon Ads Data Manager Is Available Globally

Amazon's redesigned Ads Data Manager has broad international availability.

Amazon lists support across markets in:

• North America,
• Brazil,
• Europe,
• Middle East,
• Asia Pacific,

including countries such as the United States, Canada, UK, Germany, India, Japan, Singapore, UAE, Belgium and Poland. Amazon Ads

Amazon says all Amazon Ads customers can access ADM through advertiser or manager accounts, with access also rolling directly into Amazon Ads Agent. Amazon Ads

That makes this a global advertising infrastructure update rather than a niche U.S.-only feature.

The Adorbix First-Party Data Framework

At Adorbix, we'd approach Ads Data Manager through five stages.

1. DEFINE

Determine what customer behavior actually creates business value.

Examples:

• repeat buyers,
• high-LTV customers,
• subscribers,
• high-margin purchasers.

2. CONNECT

Bring relevant signals into Ads Data Manager through:

• upload,
• API,
• Amazon Ad Tag,
• approved connectors.

3. VALIDATE

Check:

• quality,
• freshness,
• consent,
• identifiers,
• dataset health.

4. ACTIVATE

Use signals across:

• Sponsored Ads,
• Brand+,
• Performance+,
• DVA+,
• AMC,
• Amazon Ads Agent.

5. MEASURE

Ask:

DID FIRST-PARTY DATA CREATE MORE INCREMENTAL PROFIT?

That's the metric that ultimately matters.

How Adorbix Can Help Brands Use Ads Data Manager

Ads Data Manager is infrastructure.

The strategic value comes from deciding what data belongs inside it and how that data should affect advertising.

Adorbix can help with:

Audience Strategy: Define valuable first-party segments rather than uploading undifferentiated customer lists.

Amazon PPC: Connect first-party insights with Sponsored Ads strategy.

Amazon DSP / DVA+: Use audience signals for broader acquisition and remarketing.

Brand+ and Performance+: Supply stronger optimization inputs to Amazon AI.

Amazon Marketing Cloud: Analyze customer journeys and build advanced audiences.

Customer Acquisition: Separate new-customer spending from existing-customer reacquisition.

Profitability: Connect Amazon campaign results to LTV and contribution economics.

The objective is not:

“Upload all our data to Amazon.”

It's:

“Use the right first-party signals to make Amazon advertising smarter.”

A Practical 60-Day ADM Test

Start with one clearly defined audience.

For example:

High-value repeat purchasers.

Document your existing acquisition performance.

Then onboard the audience into Ads Data Manager using the appropriate method.

Validate match quality and data health.

Use the audience as an input in one supported campaign strategy rather than changing every campaign simultaneously.

Compare:

• acquisition cost,
• new-to-brand behavior,
• conversion,
• ROAS,
• contribution.

Then decide whether the first-party signal deserves wider activation.

This gives you an actual experiment instead of simply adding another dataset to your tech stack.

Ads Data Manager Readiness Checklist

Before activating first-party data, confirm:

• Customer-data source identified
• Business use case defined
• Customer consent/privacy requirements reviewed
• Data fields standardized
• Audience definitions documented
• Data freshness process established
• ADM source connection configured
• Dataset quality checked
• Destination selected
• Existing campaign baseline recorded
• LTV/margin information understood
• Measurement plan established

Do not begin with:

“We have data.”

Begin with:

“What decision should this data improve?”

Frequently Asked Questions

What is Amazon Ads Data Manager?

Ads Data Manager is Amazon Ads' centralized first-party data-management system. It lets advertisers connect, organize, monitor and activate their own audiences and conversion signals across Amazon advertising and measurement products. Amazon Ads

What changed in September 2026?

Amazon launched a redesigned ADM experience with dedicated Sources, Datasets and Destinations areas, expanded data-quality tools, more connectivity options and deeper activation across Amazon Ads Agent, AMC and advertising campaigns. Amazon Ads

What first-party data can advertisers use?

Use cases can include audience data, conversion events, website signals and custom attributes such as LTV scores, subject to Amazon requirements and applicable privacy/consent obligations. Amazon Ads

How can data be uploaded?

Amazon supports methods including no-code file uploads, Amazon Ad Tag, Amazon Ads API and integrated third-party connectors. Amazon Ads

Where can Ads Data Manager data be activated?

Amazon says signals can be activated across Amazon Marketing Cloud and campaign destinations including Sponsored Ads, Display, Video and Audio, with integration into Amazon Ads Agent. Amazon Ads

Can first-party data guide Brand+?

Yes. Amazon's Audience Signals capability allows first-party audiences from ADM to guide Brand+ prospecting optimization. Amazon Ads

Can it guide Performance+?

Yes. Amazon allows first-party audiences to serve as optimization inputs for supported Performance+ acquisition and consideration strategies. Amazon Ads

Does Ads Data Manager work with AMC?

Yes. AMC can combine advertiser-provided pseudonymized signals with Amazon Ads information for analysis and audience creation in a privacy-safe environment. Amazon Ads

Does Amazon Ads Data Manager make data privacy irrelevant?

No. Advertisers remain responsible for their own legal and privacy obligations. Amazon also has specific consent-signal requirements for certain UK and EEA data uploads. Amazon Ads

Does first-party data guarantee higher ROAS?

No. Amazon reports higher aggregate ROAS among advertisers using first-party signals, but individual outcomes depend on data quality, audience strategy, creative, product economics and campaign execution. Amazon Ads

Can Adorbix help implement a first-party Amazon Ads strategy?

Yes. Adorbix can connect Ads Data Manager with audience segmentation, Sponsored Ads, Brand+, Performance+, AMC, DVA+ and profitability analysis so brands use first-party data as a strategic advertising input instead of simply another customer list.

Key Takeaways

Amazon Ads Data Manager is becoming the central hub for bringing advertiser-owned customer signals into Amazon's advertising ecosystem.

The redesigned 2026 platform lets brands manage:

SOURCES

DATASETS

and:

DESTINATIONS

from one environment. Amazon Ads

Advertisers can connect customer and conversion information using uploads, Amazon Ad Tag, APIs and partner connectors.

Those signals can then support:

Sponsored Ads

Brand+

Performance+

Display

Video

Audio

AMC

and:

Amazon Ads Agent.

The strategic advantage comes from combining:

YOUR CUSTOMER KNOWLEDGE + AMAZON COMMERCE SIGNALS

to help AI understand which audiences actually matter to your business.

But first-party data is not automatically good data.

The brands that benefit most will have:

clean datasets,

clear consent,

strong customer segmentation,

and a measurable business objective.

Final Takeaway: The Future of Amazon Advertising Is Not Amazon Data or Your Data—It's Both

Amazon has extraordinary visibility into how customers:

shop,

browse,

watch,

and:

purchase.

Your brand knows things Amazon may not.

You know:

which customer stays longest,

which customer buys repeatedly,

which customer has the highest lifetime value,

which customer is already loyal,

and which product relationship creates the most profit.

Ads Data Manager creates the infrastructure for those two worlds to work together.

That changes Amazon advertising from:

“Find customers using Amazon's signals.”

toward:

“Use our best customer intelligence to help Amazon find better customers.”

At Adorbix, that's the opportunity.

We would not begin by uploading the biggest possible customer list.

We would begin by asking:

WHO ARE OUR MOST VALUABLE CUSTOMERS—AND WHAT CAN AMAZON LEARN FROM THEM?

Then connect:

FIRST-PARTY DATA → AMAZON SIGNALS → AI OPTIMIZATION → MEASUREMENT → PROFIT

Because in an AI-driven advertising environment, better algorithms matter.

But better signals may matter even more.

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