Amazon Ads connector

Set up the Amazon Ads connector in Kaivo: authentication, configuration, the 50 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated 1 day ago

Kaivo is a fully managed data platform that syncs your Amazon Ads data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your marketing and sales data instead of moving it.

What is the Amazon Ads connector

Sync your Amazon Ads campaigns, ad groups, keywords, and reports into BigQuery with Kaivo to measure retail media spend and return.

CategoryMarketing & Sales
AuthenticationOAuth
SetupOn request, contact us to enable it

Getting started with the Amazon Ads connector

  1. Sign up for Kaivo and create a workspace.
  2. Connect your Amazon Ads account.
  3. Choose which tables to sync.
  4. Wait for the initial sync to finish.
  5. Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Amazon Ads

Connect by signing in to your Amazon Ads account. Kaivo runs the connection for you, so you never share a password.

Configuring the Amazon Ads connector

When you set up the connector, you provide:

FieldDescription
Region

Region to pull data from (EU/NA/FE). See docs for more details.

Start Date

Any data before this date will not be fetched.

Profile ID

Profile ID you want to fetch data for. This connector supports only profiles with seller and vendor type, profiles with agency type will be ignored. See docs for more details. Note: If a Marketplace ID is also selected, the profile will be selected if it matches the Profile ID OR the Marketplace ID.

Marketplace ID

Marketplace ID you want to fetch data for. Note: If a Profile ID is also selected, the profile will be selected if they match the Profile ID OR the Marketplace ID.

Tables and columns synced from Amazon Ads

Kaivo syncs 50 tables from Amazon Ads into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

How the Amazon Ads sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Amazon Ads supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Amazon Ads?

It depends on how much history is in your Amazon Ads account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Amazon Ads's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Amazon Ads, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

How do I handle GDPR or data deletion requests?

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Amazon Ads instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Amazon Ads connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Amazon Ads data

Campaign performance

Compare spend and sales across sponsored_product_campaigns, sponsored_brands_campaigns, and sponsored_display_campaigns.

Keyword efficiency

Use sponsored_product_keywords with the report streams to find terms that spend without converting.

Budget pacing

Track portfolios and budget rules to see how each profile is pacing against its budget.

True ACoS

Join Amazon Ads spend with your order data in BigQuery to get advertising cost of sale by product.

Use Amazon Ads data in your AI and BI tools

Once Amazon Ads data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Amazon Ads data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Amazon Ads connector pricing and plan details.