Amazon AMC Data: What Your Agency Should Be Doing With It

Brands without Amazon Marketing Cloud attribution are leaving 20 to 35 percent of their ad spend unaccounted for.

Amazon Marketing Cloud is not a reporting dashboard. It is a deterministic data clean room that lets you reconstruct the actual path a customer took before converting. Most agencies either do not use it, or they pull surface-level reports and call it analysis. Neither approach is acceptable for a brand doing serious volume on Amazon.

The difference between a partner who understands AMC and one who does not shows up in your blended ROAS, your new-to-brand customer acquisition cost, and your ability to defend ad budgets to your CFO. If your agency cannot tell you the overlap between your Sponsored Products audience and your DSP audience, they are optimizing blind.

What AMC Actually Reveals That Standard Reporting Cannot

The native Amazon Ads console gives you last-touch attribution. A customer clicked a Sponsored Product ad and bought. That gets counted. Everything that happened before that click, a DSP impression three days earlier, a Sponsored Brand video view, a brand search triggered by an influencer post, disappears from the report.

AMC connects those touchpoints at the hashed user level. According to Amazon's own documentation on the platform, AMC allows advertisers to run custom SQL queries across their advertising event data to understand multi-touch attribution, audience overlap, and path-to-conversion at a level no standard console report can replicate.

For a CPG brand spending $50,000 per month on Amazon ads, that blind spot is not a minor inconvenience. It is a structural problem that causes teams to over-invest in bottom-funnel Sponsored Products while starving upper-funnel channels that are actually driving awareness and first purchase intent.

The Three AMC Signals a Competent Partner Prioritizes

Not all AMC analysis produces equal value. A good operator focuses on three specific outputs.

• Path-to-conversion analysis: How many touchpoints does a customer need before buying? For most CPG categories, the answer is three to five. If your agency does not know this number for your brand, they cannot build a rational funnel strategy.
• New-to-brand audience segmentation: AMC lets you isolate customers who purchased from your brand for the first time. Building retargeting and lookalike audiences from this segment, rather than from all purchasers, produces materially better customer lifetime value outcomes.
• Audience overlap and frequency waste: If your Sponsored Products audience and your DSP retargeting audience overlap by 60 percent, you are paying twice to reach the same people. AMC surfaces this directly. Eliminating that overlap typically improves effective reach by 25 to 40 percent without adding budget.

Why Most Agencies Do Not Use AMC Properly

AMC requires SQL fluency, data engineering time, and a structured testing framework. Most agencies managing Amazon accounts are optimized for speed and volume, not analytical depth. They manage dozens of accounts and cannot dedicate the hours required to build and maintain AMC query libraries for each client.

The result is that AMC access gets checked off as a capability during the sales process and then sits dormant. The brand gets last-touch reporting dressed up with slightly better visuals, and the agency charges a premium for it.

A partner operating at a higher level treats AMC as infrastructure, not a feature. Queries are built once and updated continuously. Audience segments are exported and activated in DSP on a regular cadence. Attribution models are shown to clients transparently so budget allocation decisions are grounded in actual data.

How This Connects to TikTok Shop Attribution

Brands scaling on both Amazon and TikTok Shop face a specific challenge: the two platforms use incompatible attribution windows and different identity graphs. A customer who sees a TikTok Shop video, does not buy there, and then converts on Amazon seven days later does not appear in either platform's standard reporting as a cross-channel conversion.

AMC does not solve this problem alone, but it provides the Amazon-side foundation. A partner who builds proper AMC infrastructure can at least isolate the customers who converted on Amazon without any recorded Amazon ad touchpoint, which is a strong signal of off-platform influence. That data, combined with TikTok Shop's attribution tools, gives you the closest approximation of true omnichannel performance available today.

What to Ask Your Agency About AMC Before Signing Anything

Before committing to an Amazon management partner, ask them four direct questions. First, can they show you an actual AMC query they have built and run for a current client, not a screenshot of the console. Second, what is their cadence for refreshing audience segments from AMC data into DSP. Third, how do they use AMC outputs to adjust Sponsored Products bid strategy, not just DSP. Fourth, can they show you a case where AMC data caused them to shift a client's budget allocation and what the outcome was.

If the answers are vague, generic, or heavily focused on what AMC could theoretically do rather than what they have actually done, you have your answer about their operational maturity.

Amazon's own resources on AMC make the capability clear. The gap is entirely in execution, and execution is where partners separate from vendors.

Eleviam builds AMC analysis into standard operations for every Amazon account we manage. Attribution is not a reporting add-on. It is the foundation of how we allocate spend, build audiences, and defend budget decisions to our brand partners. If you are spending real money on Amazon and receiving last-touch reports as your primary performance data, you are making decisions with one eye closed.