Amazon Ads

Amazon Ads is a powerful advertising platform for sellers and vendors on Amazon. With Coupler.io, you can automatically pull campaign performance data, search terms, targeting information, and product reports into your spreadsheets, BI tools, and databases on a schedule.

Why connect Amazon Ads to Coupler.io?

  • Centralized reporting — Pull data from multiple Amazon Ads accounts into one destination

  • Automated updates — Schedule daily, weekly, or monthly refreshes without manual exports

  • Flexible report types — Access campaign, ad group, search term, targeting, and product performance reports

  • Multi-destination support — Send data to Google Sheets, Excel, BigQuery, Looker Studio, Power BI, or AI destinations like Claude and ChatGPT

Prerequisites

Before you connect Amazon Ads to Coupler.io, make sure you have:

  • An active Amazon Ads account with advertiser access

  • Permission to view reports and campaign data in your Amazon Ads account

  • A destination ready (Google Sheets, Excel, BigQuery, Power BI, Looker Studio, or an AI destination like Claude)

Quick start

circle-check

How to connect

1

Sign in to Coupler.io and create a new data flow. Select Amazon Ads as your source.

2

Authorize with Amazon. Click "Connect" and you'll be redirected to Amazon's login page. Sign in with your Amazon account and grant Coupler.io permission to access your advertising data. You'll be returned to Coupler.io once authorized.

3

Select your Amazon Ads account(s). Choose the advertiser accounts from which you want to pull data. You can select one or multiple accounts — if pulling from several, Coupler.io will append the data together.

4

Choose a report type. Select from available report types like "Campaign performance by campaigns," "Search terms report," or "Advertised products report."

5

Set your report period. Use the date pickers to define your start and end dates. Note: Amazon Ads API allows a maximum of 31 consecutive days per request. For longer periods, set a date range within this limit or use the "Totals only" split option.

6

Choose your metrics. Select which metrics to include in your report (e.g., impressions, clicks, spend, conversion value). Different report types offer different metric options.

7

Pick your destination. Choose where your data will land — Google Sheets, Excel, BigQuery, Power BI, Looker Studio, or an AI destination like Claude or ChatGPT.

8

Run your data flow. Click "Run" to execute a manual test. Once successful, you can schedule the data flow to run automatically on your preferred cadence.

circle-info

A successful manual run is required before you can schedule your data flow to run automatically.

Available report types

Report Type
Best For
Key Metrics

Campaign performance by campaigns

High-level campaign ROI analysis

Impressions, clicks, spend, sales, ACOS

Campaign performance by ad groups

Mid-level performance drilling

Impressions, clicks, spend, conversions

Campaign performance by campaign placement

Understanding where your ads show

Placement type, impressions, clicks, CTR

Targeting report

Keyword and targeting performance

Bid, match type, impressions, clicks, ACoS

Search terms report

Discovering customer search queries

Search term, impressions, clicks, conversions

Advertised products report

Individual product-level metrics

Product, impressions, clicks, units sold

Sponsored products purchased product report

Products purchased from your ads

Product, conversion value, units ordered

Sponsored brands purchased product report

Branded campaign product performance

Product, conversions, revenue attribution

Last updated

Was this helpful?