Amazon Ads Data Import Options
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Quick answer
Amazon Ads data import options include manual CSV/XLSX uploads, email-bridge automation, and GitHub Actions workflows. These paths let sellers and analysts move Amazon Ads reporting data into a central analytics environment without manual copy-paste work. Manual uploads are the most direct approach, while email bridges and GitHub Actions help consolidate recurring exports for ongoing spend, sales, ROAS, and time-of-day performance review. Each option suits different reporting cadences and team setups.
If you are working with time-of-day spend share versus sales share, the way you bring data in affects how current and consistent your analysis can be. The module covered here accepts common Amazon Ads report formats through simple uploads and automation methods, so you can choose a workflow that matches how often you need fresh performance data.
Manual CSV and XLSX uploads
Manual CSV or XLSX uploads are the simplest supported import path. You can export an Amazon Ads report from the Amazon Ads console, save it as a spreadsheet file, and upload it into the Amz Ad Waste Detector - Amazon Ads Analytics Module for processing. This method works well for one-off reviews, historical snapshots, or teams that prefer to inspect files before they enter the analytics workflow.
- Best for occasional or ad hoc Amazon Ads reporting reviews
- No additional automation setup required
- Useful when you want to clean or filter exported data before upload
Email-bridge automation
Email-bridge automation reduces the manual effort involved in recurring imports. Instead of downloading files each time, scheduled Amazon Ads reports can be sent to an email bridge that captures the attachments and routes them into the analytics system. This is a practical fit when you need regular reporting updates but do not want to manage a code-based workflow.
For time-of-day analysis, this can help keep daily or hourly reporting data flowing into the same dataset so spend share and sales share comparisons are based on recent performance.
GitHub Actions and choosing the right fit
GitHub Actions provide a streamlined path for teams that already use repositories and scheduled workflows. The supported integration allows Amazon Ads data to be processed with automation, which can reduce manual steps in data preparation. This option is especially useful when import tasks need to be repeatable or integrated with other data-processing steps.
When this matters: if your Amazon Ads time-of-day analysis depends on consistent data refreshes, the right import method prevents gaps that can make spend share look misaligned with sales share. Choose manual uploads for occasional checks, email bridges for recurring convenience, and GitHub Actions when you want a more code-driven workflow.
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Once your import method is set, you can focus on the actual performance pattern: whether ad spend share is converting into a proportional sales share throughout the day. That connects directly to the broader Amazon Ads time-of-day analysis framework, where clean imported data makes the comparison more reliable.