Amazon Ads API 6 min read

AMS vs AMC: Which Amazon Ad Data Tool to Use, and When

Amazon Marketing Stream and Amazon Marketing Cloud both start with “Amazon Marketing” and both deal with ad data — so they get mixed up constantly. They actually solve opposite problems. One pushes you hourly data for real-time action; the other runs SQL over years of history for attribution. Here's the difference, side by side, and how to pick.

Updated Jun 2026
AMS vs AMC: Which Amazon Ad Data Tool to Use, and When

Two Tools Everyone Mixes Up #

Amazon Marketing Stream (AMS) and Amazon Marketing Cloud (AMC) sound like the same product with two names. They aren't. They sit at opposite ends of the ad-data workflow — one is about acting right now, the other is about understanding what happened and why.

Get them confused and you'll either try to build real-time bidding on a tool that only answers historical questions, or try to run multi-touch attribution on a firehose of raw hourly metrics. Here's the clean mental model.

Tip: This is the written version of the 60-second explainer on the Databaaba YouTube channel. Watch that for the fast take, read this for the decision framework.

Amazon Marketing Stream (AMS), in One Line #

AMS auto-pushes your hourly ad data into AWS infrastructure that you own. Roughly one hour of latency, push-based, built for real-time action.

You subscribe an advertiser profile to a dataset — sp-traffic, sp-conversion, budget-usage, sb-traffic, sd-traffic — and Amazon delivers that dataset's hourly snapshots into your SQS queue or Firehose stream. No polling the Reports API, no throttling, no waiting for yesterday's daily report.

  • Freshness: hourly, ~1 hour after the hour closes
  • Shape: raw campaign / ad group / keyword metrics (impressions, clicks, cost, conversions)
  • Delivery: pushed into your AWS (you provision SQS or Firehose)

Set it up: the full Firehose + IAM walkthrough is in Amazon Marketing Stream Setup: Hourly Ad Data via Firehose.

Amazon Marketing Cloud (AMC), in One Line #

AMC is a privacy-safe clean room where you run SQL against years of pseudonymized, event-level data. Query-based, historical, built for analysis.

Instead of raw hourly totals, AMC holds signal-level events — impressions, clicks, and conversions tied to hashed user identifiers — that you can join across campaigns and time. It answers the questions a spreadsheet of daily totals never can:

  • Attribution: which touchpoints actually drove the sale, not just last-click
  • New-to-brand: which campaigns bring genuinely new customers
  • Path to purchase & audience overlap: how Sponsored Products, Sponsored Brands, and DSP work together

You don't get live data and you don't get raw hourly rows — you get a SQL workbench over a deep, privacy-protected history (typically the trailing ~12–13 months).

Side by Side #

Dimension AMS (Marketing Stream) AMC (Marketing Cloud)
Data freshnessHourly (~1h latency)Historical (~12–13 month lookback)
Access modelPushed into your AWS (SQS / Firehose)SQL queries in a clean room
GranularityHourly campaign / keyword metricsEvent-level, pseudonymized signals
Best forReal-time action: bidding, pacing, alertsAnalysis: attribution, audiences, NTB
Time to insightMinutesQuery runtime — not live
Infra you needAWS (S3/SQS, IAM roles)AMC instance + SQL (optional cloud upload)

When to Reach for AMS #

If the sentence contains “right now” or “this hour,” it's an AMS job:

  • Intraday bid adjustments — cut bids on a keyword whose ACOS is spiking before the day's budget is gone
  • Budget pacing — throttle or pause campaigns burning budget too fast in the morning
  • Real-time dashboards — hourly performance that doesn't depend on someone pulling a report
  • Overspend / anomaly alerts — ping Slack the moment CPC or spend jumps

When to Reach for AMC #

If the question is “what happened over the last quarter, and why,” it's an AMC job:

  • True attribution — which campaigns drove conversions across multiple touchpoints, not just the last click
  • New-to-brand analysis — how much of your spend actually acquires new customers
  • Audience overlap & incrementality — where Sponsored Products, Sponsored Brands, and DSP overlap or add reach
  • Combining ads with first-party signals — join Amazon ad events with your own audiences (uploaded privately)

Why Most Serious Teams Run Both #

AMS and AMC aren't competitors — they're the two halves of a mature ad-data stack.

AMS is the nervous system: it reacts to what's happening this hour. AMC is the brain: it learns from months of history. The best setups close the loop — you use AMC to discover that, say, a particular daypart drives most of your new-to-brand orders, then encode that insight into AMS-driven automation that bids harder during those hours.

Start with whichever matches your immediate pain: AMS if you want automation and live dashboards quickly, AMC if you're making strategic budget and attribution decisions.

FAQ #

Do I need AWS to use AMC?

No. AMC is a managed clean room you query with SQL — no AWS account required. AMS is the one that pushes data into your AWS, so it needs S3/SQS/Firehose and IAM roles.

Can AMC give me hourly or real-time data?

No. AMC is built for historical, event-level analysis over months of data. If you need this-hour numbers, that's AMS.

Can AMS do attribution?

Not really. AMS delivers raw hourly metrics (impressions, clicks, cost, conversions) per campaign/keyword. Multi-touch attribution and path-to-purchase live in AMC.

Which should I set up first?

If your goal is automation, alerts, or live dashboards, start with AMS. If your goal is strategic analysis — attribution, new-to-brand, audience work — start with AMC. Many teams end up with both.

Don't want to build this yourself?

I set this up for sellers and agencies every week. Book a free 30-minute audit of your Amazon data & PPC setup — you'll leave with a plan either way, whether we work together or not.

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