Amazon Ads - Historical Backfill Instructions
Section A: Pull the Amazon Ads Report
Step 1: Log Into Amazon Ads
- Go to: https://advertising.amazon.com/
- Confirm the correct account is selected in the top header
- In the left sidebar:
- Click “Measurement & reporting”
- Click “Reporting”
Step 2: Create a New Report
- On the Reporting page, locate the “Campaign” template
- Click “Use template”
Step 3: Name the Report
Use a clear naming convention, for example:
Amazon Ads - Daily - Last 24 Months(preferred)Amazon Ads - Daily - [Start Date] to [End Date]
Step 4: Add Your Account
- Under Filters → Accounts, click “Add”
- Select your advertiser account
- Click “Save”
Leave all other filters as:
- Campaigns: All
- Country: All
- Ad product: All
Step 5: Configure Dimensions
In Customize columns → Dimensions, select:
- ❌ Uncheck: Date range
- ✅ Check:
- Day / Month / Year
- Ad product
- Campaign ID
- Campaign name
Important: “Day” and “Date range” cannot both be selected.
Step 6: Configure Metrics
In the Metrics tab, select:
- Impressions
- Clicks
- Total cost
- Purchases
- Sales (under “Amazon retail conversions”)
Step 7: Set the Date Range
- Scroll to Report period
- Preferred: Last 24 months of Historical Data
- Select a custom date range:
- To get a daily grain data there is 90 day window restriction
- Example: April 1, 2024 → June 30, 2024
- There will be a need to run the 90 day window request multiple times to account for 6 months or more of data
- To get a daily grain data there is 90 day window restriction
Note: Amazon allows ~365 days per report pull.Based on customer feedback, the furthest back data is typically available from January 2025.
For a full history pull, set your start date to January 1, 2025 and run multiple adjacent windows if needed.
- Click Save
Step 8: Confirm Delivery Settings
- Send to: Leave blank
- Report frequency: Once
- File format: CSV
Step 9: Submit & Download
- Click Submit
- Wait for processing (typically 5–60 minutes)
- Refresh the page until status = Completed
- Download the CSV file
Section B: Convert to the Prescient Marketing Template
Step 10: Open the Prescient Template
- Open the Prescient Marketing Template workbook
- Navigate to the Digital Marketing Sources tab
- This is where your Amazon data will go
Step 11: Map Data into the Template
Copy data from the Amazon CSV into the template using the following mapping:
| Amazon Column | Template Column |
|---|---|
| Day | DATE |
| Campaign name | CAMPAIGN_NAME |
| Campaign ID | CAMPAIGN_ID |
| Total cost | SPEND |
| Clicks | CLICKS |
| Impressions | IMPRESSIONS |
| Purchases | CONVERSIONS |
| Sales | REVENUE |
- Paste values into the corresponding template columns
- Do not include extra columns
Step 12: Match Template Format Exactly
Ensure the file uses exactly these column names:
DATECAMPAIGN_NAMECAMPAIGN_IDTACTIC_TYPE(optional — can be left blank)SPENDCLICKSIMPRESSIONSCONVERSIONSREVENUE
Formatting requirements:
- Keep headers exactly as written (all caps)
- Dates must be formatted as
YYYY-MM-DDorYYYY/MM/DD - Ensure one row per day × campaign
- No blank rows
- No extra columns
Step 13: Quality Check Before Export
Before saving:
- Confirm
DATE,CAMPAIGN_NAME,CAMPAIGN_ID, andSPENDare populated - Confirm numeric fields contain only numbers (no symbols or text)
- Confirm daily granularity (one row per day per campaign)
- Confirm only template columns are present
TACTIC_TYPEis optional and can be left blank.
Prescient’s system will validate these requirements upon upload.
Step 14: Export the Final File
Save or export the completed template as a CSV file.
This is your Prescient-ready file that can be uploaded to the platform through Prescient’s Data Patch.
Updated about 4 hours ago