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Amazon Marketing Cloud (AMC): What It Is and Why Your DSP Strategy Needs It

Consumer comparing products while shopping — Amazon Marketing Cloud insight

Amazon Marketing Cloud (AMC) is the most sophisticated measurement tool Amazon has ever given advertisers — and the majority of brands running DSP campaigns today aren’t using it. If you’re investing in Amazon DSP and making budget decisions based on last-click ROAS, you are working with incomplete information. AMC changes that entirely.

What Is Amazon Marketing Cloud?

Amazon Marketing Cloud is a secure, privacy-safe clean room solution operated by Amazon Web Services. It gives advertisers SQL-level access to pseudonymized, user-level event data from their Amazon Ads campaigns — across Amazon DSP, Sponsored Products, Sponsored Brands, and Sponsored Display — in a single unified environment.

The key word is user-level. Standard Amazon campaign reporting shows aggregated metrics — impressions, clicks, spend, attributed sales — by campaign or ad group. AMC exposes the individual customer journey: a specific (anonymized) user saw your DSP video ad on Tuesday, clicked your Sponsored Products listing on Thursday, and purchased on Friday. That chain of events — invisible in every other Amazon reporting tool — becomes queryable data you can act on.

AMC launched in 2021 as an invite-only beta and has since expanded to brands running managed DSP campaigns through Amazon Advertising or an Amazon Advanced Partner.

How the Clean Room Model Works

The clean room architecture is what makes AMC both powerful and privacy-compliant. Amazon ingests your campaign event data into an isolated AWS environment, pseudonymizes it at the user level, and makes it queryable only through AMC’s SQL interface. You write queries; Amazon executes them inside the clean room; results are returned only as aggregated data sets — never individual user records.

Privacy thresholds enforce minimum group sizes on every result set, preventing any form of individual identification. You gain population-level behavioral insight without touching any personally identifiable information.

You can also bring your own first-party data into AMC — hashed customer email lists, CRM segments — and match them against Amazon’s signals within the clean room. The matched data never leaves the clean room environment, and Amazon never sees your raw customer list.

Five Things AMC Lets You Measure That Nothing Else Can

1. True Cross-Channel Attribution

Last-click attribution, which is the default in Amazon’s reporting suite, assigns 100% of conversion credit to the final ad touchpoint before purchase. This systematically undervalues upper-funnel activity. A DSP video ad that generates awareness and drives the eventual Sponsored Products click registers zero credit in last-click — even though it was the catalyst.

AMC lets you define custom attribution models — first-touch, linear, time-decay, or any weighted combination — and apply them to your actual event data. The result is a true picture of what each channel contributes to revenue, not a artifact of how Amazon counts clicks.

In our experience managing AMC across CPG and consumer electronics brands, DSP campaigns routinely show 2–4× higher true contribution when measured with multi-touch attribution versus the last-click view in standard DSP reporting.

2. Full Path-to-Purchase Mapping

AMC lets you query the exact sequence of touchpoints that precede a conversion. You can ask: what percentage of our buyers saw a DSP impression before clicking a Sponsored Products ad? What is the median number of touchpoints before a first purchase in our category? How long is the consideration window for our SKUs — hours, days, or weeks?

These answers directly determine how you should structure your DSP and Sponsored Ads budgets and how you should set attribution windows for each channel. Brands discover, for example, that their category has a 9-day average purchase cycle — meaning their 7-day attribution window has been undercounting conversions for years.

3. Frequency Analysis and Waste Elimination

3. Frequency Analysis and Waste Elimination

Wasted DSP impressions — serving ads to users who have already converted, or serving so many ads to a single user that conversion probability has collapsed — are the most common source of DSP inefficiency. Standard DSP reporting gives you average frequency across your entire audience. AMC gives you the full frequency distribution correlated with conversion rates.

The pattern is predictable: conversions peak at 3–6 impressions and plateau or decline above 10. With this data, you can set DSP frequency caps with evidence instead of guesswork. Reallocating impressions from overexposed users to fresh audiences typically improves cost-per-acquisition by 15–30% without changing creative or bid strategy.

4. New-to-Brand Customer Measurement

AMC can segment purchasers into new-to-brand (NTB) and repeat buyers at the user level, across your full campaign history and any lookback window you define. This matters because the business value of NTB acquisition — bringing in a customer who has never bought your brand on Amazon — is fundamentally different from selling again to an existing customer.

DSP campaigns targeting category shoppers or competitor product viewers typically drive 65–80% NTB purchases. AMC makes this measurable, which transforms the CFO conversation: instead of defending DSP as a cost-center with modest ROAS, you can show it as the primary driver of net-new customer acquisition and long-term LTV.

5. AMC Audiences for DSP Targeting

Every insight AMC produces can become an actionable audience segment pushed directly into Amazon DSP for targeting — this is the AMC Audiences workflow. Examples of what brands build:

  • High-intent non-converters: Users with 3+ product detail page views in the last 30 days, no purchase. Retarget with direct-response creative and price parity messaging.
  • Overexposed non-responders: Users with 10+ DSP impressions, zero clicks. Exclude from current campaigns to stop wasting budget.
  • Lapsed repeat buyers: Customers who purchased 90–180 days ago and have not reordered. Re-engage with replenishment or adjacent SKU creative.
  • Competitor ASIN viewers: Users who viewed competitor product pages in your category. Target with conquest messaging and your key differentiators.
  • CRM match audiences: Your best DTC or offline customers matched to Amazon IDs — target directly or use as a DSP lookalike seed.
Marketing team reviewing campaign performance insights — Amazon Marketing Cloud

AMC vs. Standard Amazon Reporting: The Actual Difference

CapabilityStandard Amazon ReportingAmazon Marketing Cloud
Attribution modelLast-click, fixed windowCustom SQL — any model
Data granularityAggregated by campaignUser-level event streams
Cross-channel viewPer ad type onlyDSP + Sponsored Ads unified
Frequency analysisAudience averages onlyPer-user frequency distribution
Path to purchaseNot availableFull touchpoint sequence
Audience buildingStandard DSP segmentsSQL query → DSP push
First-party dataNot supportedUpload and match in clean room
Lookback window30–90 days13 months rolling

What You Need to Get Started with AMC

AMC has four prerequisites:

  1. Active Amazon DSP campaigns. AMC requires DSP event data. Brands running only Sponsored Ads cannot access AMC without DSP.
  2. AMC instance provisioning. Amazon provisions a dedicated AMC environment for your advertiser account through your Amazon Advertising rep or managed DSP partner. This takes 1–2 weeks.
  3. AWS S3 bucket. Query results are delivered to an S3 bucket in your AWS account. Basic AWS setup required.
  4. SQL capability. AMC uses a SQL dialect with custom attribution and audience functions. You need either in-house SQL expertise or a partner who manages your query library.

From provisioning to first meaningful insights: 30–60 days. From provisioning to AMC Audiences live in DSP: 2–4 weeks. The data compounds — every month of AMC history improves the precision of your attribution models and audience segments.

The Bottom Line

If you’re running Amazon DSP without AMC, you’re making budget allocation decisions with one eye closed. Cross-channel attribution, path-to-purchase mapping, frequency optimization, and audience precision — none of these are available anywhere in Amazon’s standard reporting suite. AMC provides them all.

For brands serious about Amazon as a growth channel, AMC is not an optional analytics upgrade. It is the measurement foundation that makes everything else — DSP investment, Sponsored Ads optimization, full-channel management — measurably more efficient.

Hai Mag Ceo

Hai Mag

Hai Mag, CEO & Co-Founder of Eva Commerce, is a visionary leader in eCommerce and AI-driven automation with 20+ years of experience in business transformation, marketplace optimization, and growth hacking.
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