How to Export Amazon Ads Data for Power BI or Looker Studio

Export the Right File Format and Columns

For most Power BI and Looker Studio workflows, CSV or XLSX is the most practical export format. Download the exact report type you need—search term, targeting, or campaign—and include all relevant columns: date, campaign name, ad group, targeting, impressions, clicks, spend, sales, orders, and conversion metrics. A flat table is easier to load than a pivot-style export.

If you frequently work with Sponsored Products search-term reports, Amazon Ads Report Analyzer can automate CSV or XLSX imports and produce a clean summary before you connect the data to a BI tool.

Match Date Ranges and File Naming

Inconsistent date ranges are one of the fastest ways to introduce gaps or double-counted periods in a dashboard. Decide your analysis window—for example, the last 7, 14, or 30 days—and apply it to every campaign, ad group, and search term export. Use the same Amazon Ads time zone setting and note whether the report includes delayed attribution.

Clear file names also reduce cleanup work. A naming pattern like SponsoredProducts_SearchTerm_2025-01-01_2025-01-31.csv makes incremental loading into Power BI or Looker Studio easier to manage.

When Clean Exports Matter Most

Clean exports matter most when you are blending multiple campaigns, accounts, or marketplaces into one BI view. Power BI and Looker Studio can merge files, but only when columns and date formats are consistent. If one export uses text-formatted numbers and another uses real numbers, you may spend more time fixing data than analyzing it.

• Keep date fields as YYYY-MM-DD where possible.
• Include the same campaign name or ID key in every file you plan to join.
• Avoid merged cells, summary rows, and pivot layouts in exported files.