Amazon Private Data - Advertising Account

Connect your Amazon Advertising account to DataHawk to automatically collect and centralize your advertising data for structured reporting and analysis.

Connecting your Amazon Advertising account allows you to automatically collect and centralize your advertising data in DataHawk. Enable structured reporting and analysis, data storage to prevent data loss, and consolidation with other metrics such as financial and search data.

Your Amazon Advertising Account

Whether you are a Seller, a Vendor, or an Agency, you already have access to Amazon advertising account. This is where your campaigns (Sponsored Products, Sponsored Brands, Sponsored Display) are created and managed.

DataHawk will be taking care of collecting data through API, clean and normalize the data, aggregate them, and deliver them to you. You can have access to the raw data as well as aggregated data in dashboards.

DataHawk Connection Capabilities

What Data Does DataHawk Collect?

When you connect your Amazon Advertising account, DataHawk automatically:

  • Collects your advertising data via Amazon's API
  • Cleans and organizes the data
  • Stores it securely (so you don't lose historical data - Amazon gives only the latest 60 days)
  • Makes it available in dashboards and raw datasets

Once you connect your Amazon Advertising account, DataHawk will have access to all the data available in the account. It means that you can not choose to give partial access to DataHawk on certain Seller/Vendor account or profile/marketplaces.

Data Coverage

Data is structured across multiple levels:

  • Campaign-level
  • Ad group-level
  • Keyword / targeting-level
  • ASIN-level (when available)

Metrics resulting from integrating an Amazon Advertising account can be accessed both in a raw format and ready-to-use reports and dashboards.

⚠️

Note that for certain type of data, DataHawk might be limited by what Amazon Ads' API is providing.

Supported regions

DataHawk integration works for Advertisers registered in all Amazon regions:

  • North America: US, Canada, Mexico, and Brazil.
  • Europe: UK, Germany, Italy, France, Spain, Netherlands, UAE, Sweden, India, and Poland.
  • Far East: Japan, Singapore, and Australia.
⚠️

Note: Sweden, Poland, Ireland, and Belgium marketplaces are not supported for Sponsored Ads data due to availability on Amazon's API.

Automated Data Sync & Backup

Once you connect your Advertising account to DataHawk, we immediately retrieve 60 days of historical data. This is the maximum historical window allowed by Amazon Ads API.

We then securely store and back up all your data everyday, enabling more comprehensive reporting with extended historical context.

Refresh Frequency

Data is updated daily. There may be a delay in updating the data from the last 24 hours.

DataHawk Limitations

  • Data for the last 48h may be incomplete
  • Some metrics are limited by Amazon API
  • Initial historical depth is limited by Amazon API

How to Connect your Amazon Advertising Accounts

💡

Before you start, ensure you have the necessary account permissions. If not, share the login link with someone who does.

Go to the Sources Page

On DataHawk App, go to the Sources Page.

Add Sources

Click + Add Sources on the top right corner. Or + Add on the Amazon Advertising line (jump to step 4).

Ads Account 1

Log in and authorize

Log in to your Amazon Advertising account.

Authorize DataHawk integration.

Ads Account 4

Outputs

Raw data

Raw data can be accessed via destinations and can notably be used to build dashboards on your favorite BI solution.

Your DataHawk-powered Snowflake database contains multiple tables about advertising data. These tables contain a very exhaustive list of data points as columns and are organized into what is called a schema.

Here, is our datasets schema.

Dashboards

DataHawk provides ready-to-use dashboards and reports on Power BI and Looker Studio.

Go on our complete guide on Advertising Dashboards:

  • for Looker Studio: Perfect for a high-level overview
  • for Power BI: Great for a deep-dive and investigation on performance

Troubleshooting on common issues

On this page