Home > Destinations > BigQuery > Amazon Ads

Connect Amazon Ads to BigQuery

Connect Amazon Ads to Big Query and export selected accounts, metrics, and dimensions to your Google BigQuery project.

Configure the historical window, destination table, and recurring schedule without maintaining a Amazon Ads API pipeline.

Amazon Ads export job

First sync scheduled

Amazon Ads Selected accounts

Configured job

BigQuery Destination table

Account Amazon Ads · Client group A

Table daily_dump

Initial import Configured historical window

Schedule Daily · 06:00 UTC

Fields Selected metrics + dimensions

Partition date · eligible field

Illustrative job · configure values for your account Export ready

Used by the world's leading companies

Export Amazon Ads data to Big Query

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Amazon Ads data in BigQuery

Bring all your Amazon Ads Metrics data into your warehouse and make it available for analytics, machine learning, and internal applications.

Source

Amazon Ads Advertising data

INaccounts PMadvertisers CUcampaigns BLad_groups

Catchr pipeline IN PM CU Extract · normalize · load

BigQuery catchr_data.Amazon Ads_raw

TableScopeStatus

accountsSelectedReady

advertisersSelectedReady

campaignsSelectedReady

ad_groupsSelectedReady

Data Freshness

Keep your warehouse always up to date

Automatically sync new data from Amazon Ads so every dashboard, model, and report works with fresh information.

Amazon Ads MetricsConfigured account

BigQueryAmazon Ads Metrics_raw

Rows processed Scheduled loads Example 24h

00:0006:0012:0018:00

Latest run Completed 06:00 UTC

New rows +428 4 tables updated

Next run Scheduled 12:00 UTC

accounts326 updated advertisers102 appended Warehouse up to date

Data Freshness

Unify Amazon Ads with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Business data model

model / business_360

Warehouse inputs

QuickBooks accounts · Sponsored Product Acos Clicks 14d Advertising

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

BigQuery model business_360 Unified

FieldFrom

customer_idCRM

Sponsored Product Acos Clicks 14daccounts

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

Amazon Ads metrics and dimensions available in Google Big Query

Access 131 metrics and 54 dimensions from Amazon Ads connectors including Sales, Cost, Sponsored Targeting ROAS, Click Through Rate, Purchases, Date, Campaign Name, Ad Group Name, Keyword, Search Term and many more...

131

Metrics availables

Dimensions availables

View all Amazon Ads Metrics metrics and dimensions

Connect Amazon Ads to BigQuery in minutes

Move your data from Amazon Ads to BigQuery with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your Amazon Ads account

Authenticate your Amazon Ads account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Connect now

Client A · Connected sources

5 sources ready

Amazon Ads 3 advertising accounts Connected

Google Ads 2 advertising accounts Connected

Google Analytics 4 1 web property Connected

HubSpot 1 CRM portal Connected

Step Two

Choose the Big Query Destination

Select your Google Cloud project and BigQuery dataset. Catchr automatically prepares the destination and maps your data into analytics-ready tables.

Destination / Google BigQuery Required fields

Project ID Required

Dataset ID Required

Service-account JSON key Required

Step three

Keep your warehouse in sync

Catchr continuously imports new and updated data into BigQuery.

Your warehouse stays fresh automatically, ready for SQL, dbt, BI tools, and AI workloads.

Destination / Google BigQuery Example

Project ID Required

agency-reporting-prod

Dataset ID Required

marketing_raw

Service-account JSON key Required

catchr-bigquery-writer.json

Destination table Per job

facebook_ads_daily

Date partition Optional

date

Recurring schedule Choose a cadence

Every 6 hours

Daily · 06:00

Weekly · Mon

First sync scheduled Selected fields · configured history

06:00 UTC

Review 30-day Amazon Ads campaign delivery in SQL.

Once the table is available, query the fields you selected and named. This example summarizes spend, impressions, clicks, and click-through rate by campaign.

30-day window

SELECT
  campaign_name,
  SUM(spend) AS spend,
  SUM(impressions) AS impressions,
  SUM(clicks) AS clicks,
  SAFE_DIVIDE(
    SUM(clicks),
    SUM(impressions)
  ) AS ctr
FROM `your_project.marketing_raw.amazon_ads_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY campaign_name
ORDER BY spend DESC;

Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your Amazon Ads data

Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

Finance

Before you schedule the job.

Answers about available Meta Ads data, reporting cadence, history, table settings, attribution changes, and downstream joins.

How do I connect Amazon Ads to BigQuery?

Add Amazon Ads as a source in Catchr, choose BigQuery as the destination, select the fields to export, and authorize the target Google Cloud project and dataset.

What Amazon Ads data can I send to BigQuery?

Export account, campaign, ad group, ad, creative, audience, spend, impression, click, conversion, and revenue fields available from this advertising source.

How often can Amazon Ads data be refreshed in BigQuery?

Schedule recurring refreshes in Catchr so your BigQuery tables stay updated automatically. Available frequencies depend on your plan, source limits, and reporting needs.

Can I combine Amazon Ads data with other sources in BigQuery?

Yes. Keep sources in separate tables, then use SQL views or models to join them on shared dimensions such as date, campaign, account, customer, product, or region.

What can I build with Amazon Ads data in BigQuery?

Build campaign reports, budget pacing, attribution models, cross-channel dashboards, and long-term performance history without relying on manual exports.

Can the table be partitioned by date?

If your selected schema contains an eligible date field, you can configure that field as the optional date partition for the destination table. Catchr does not configure table clustering or design your downstream analytical models.

Can Catchr backfill history into BigQuery?

Yes. Configure the historical period supported by the source for the initial import, then keep the table updated with recurring exports. The available range is determined by the source API and the settings of your job, not an unlimited-history promise.

Still have a question ?

Our teams is always here to responds to any question you could have about our data connector.

Your next BigQuery warehouse should not start with five exports.

Connect your accounts, choose the fields then send the configured export to your BigQuery project.

Start your free-trial Book a demo

14 days free-trial

No credit-card required

100+ sources

Used by the world's leading companies

Export Amazon Ads data to Big Query

Centralize Amazon Ads data in BigQuery

Keep your warehouse always up to date

Unify Amazon Ads with the rest of your business data

Amazon Ads metrics and dimensions available in Google Big Query

Connect Amazon Ads to BigQuery in minutes

Connect your Amazon Ads account

Choose the Big Query Destination

Keep your warehouse in sync

Review 30-day Amazon Ads campaign delivery in SQL.

Connect more table to your Amazon Ads data

QuickBooks

MailerLite

JSON / CSV / XML

Firebase Realtime Database

ChatGPT

Braze

StackAdapt

Amazon DSP

AdsWizz

TikTok Shop

The Trade Desk

Outbrain DSP

Google Display & Video 360

Tiktok GMV

Chartmogul

Profitwell

Zoho CRM

Line Ads

Yahoo! Japan Display

Yahoo! Japan search ads

Xandr

Branch

Google Trends

Google Page Speed

Airbnb Review

Capterra Review

Facebook Review

Yelp Review

Glassdoor Review

Booking Review

Google Play Review

g2 Review

Appstore Review

Tripadvisor Review

Trustpilot Review

Indeed Review

Taboola

Teads

Outbrain

Magento

Prestashop

Bigcommerce

Youtube Analytics

Google Search Console

Awin

Pinterest Organic

Instagram Public Data

Pardot

Bing Webmaster Tool

AppsFlyer

Adjust

AdRoll

Criteo

Piano Analytics

X / Twitter Public Data

Adform

Amazon Seller

Piwik

Adtraction Advertising

CallRail

Google Ads

Facebook Ads

LinkedIn Ads

Microsoft Ads

Facebook Pages

Amazon Ads

Pinterest Ads

Twitter Ads