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How to Aggregate Amazon Ads Data from Multiple Client Accounts

โ† Back to How to Build a Multi-Client Amazon Ads Performance Scorecard

Quick answer

Multi-client Amazon Ads data aggregation is the process of combining campaign reports from separate client accounts into a single dataset for scorecard analysis. Teams can use manual exports, scheduled email reports, or dashboard imports to pull metrics such as spend, sales, clicks, ROAS, and search terms. The practical goal is consistent cross-account visibility without logging into each Amazon Ads console individually. A reliable aggregation workflow keeps client comparisons fair and makes performance trends easier to spot.

How to Aggregate Amazon Ads Data from Multiple Client Accounts
How to Aggregate Amazon Ads Data from Multiple Client Accounts

When you manage multiple Amazon Ads accounts, the biggest bottleneck is usually the reporting step before analysis. A stable import routine using exports or scheduled emails removes that friction and keeps the scorecard update cycle repeatable.

Exports vs. scheduled email imports

Exports are the most direct route when a client gives you access or reports are pulled manually from Amazon Ads. Scheduled email reports remove some of that manual work because the data arrives on a cadence without requiring a login each time. The Amazon Ads Dashboard by Todoza supports scheduled daily email imports and file uploads, which can be useful when accounts are spread across marketplaces.

A practical approach is to define the exact columns you need before aggregating: account name, campaign, ad group, impressions, clicks, spend, sales, ROAS, and any search term fields. Keeping the same format reduces cleanup later.

How to Aggregate Amazon Ads Data from Multiple Client Accounts
How to Aggregate Amazon Ads Data from Multiple Client Accounts

Set up a repeatable workflow

Consistency matters more than the specific tool. Use a clear file naming convention that includes the client, marketplace, and date range. Store raw exports in a dedicated folder so the original data is always available if a formula breaks or an import fails.

  • Standardize date windows across clients to avoid comparing partial periods.
  • Add a client ID or account name column before combining files.
  • Keep scheduled email reports arriving in a shared inbox or ingestion folder.
  • Spot-check totals before using the data in a scorecard.

When this matters

This is especially relevant for agencies or sellers managing several Amazon accounts at once. Without a single aggregated dataset, client performance becomes hard to compare and small data errors can distort the scorecard. Aggregation is also useful when you need to review spend efficiency across marketplaces or identify which accounts need attention before a client call.

How to Aggregate Amazon Ads Data from Multiple Client Accounts

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Once the data is aggregated consistently, the next step is mapping those metrics into a multi-client Amazon Ads performance scorecard. The import process becomes the foundation that makes that scorecard stable and easier to maintain over time.