Standardize Amazon Ads Export Data for Power BI and Looker Studio

Standardize columns and metric names first

Start by comparing column headers across the report types you use. Rename variations such as Spend, spend, or Cost to a single consistent label. Align metric names like ACoS, ACOS, or Advertising Cost of Sales before loading data into Power BI or Looker Studio.

• Use the same header for every field across all files and marketplaces.
• Keep calculated metrics separated from raw Amazon exports where possible.
• Document each approved name so future reports can be checked quickly.

Use one clear date format

Date columns should follow a single pattern, preferably YYYY-MM-DD, before import. This avoids regional mismatches where a date like 03/04/2025 may be read as March 4 or April 3 depending on the BI tool or file locale.

• Apply the same format to start date, end date, and reporting period fields.
• Confirm that daily exports use the same time zone assumptions as other reports.
• If your data includes hourly or weekly files, maintain the same date key across all of them.

When this matters for BI dashboards

Standardized inputs matter most when you combine multiple Amazon Ads report types or accounts into one dashboard. A unified schema helps measures like ROAS and ACoS calculate reliably across campaigns, and prevents broken joins caused by header mismatches.

Using a tool that consolidates Amazon Ads report data can reduce the manual steps involved. For example, the Amazon Ads Dashboard by Todoza is designed to combine reports into a unified view, which supports consistent analysis before you connect to Power BI or Looker Studio.