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Connect Amazon Ads to Snowflake

Connect Amazon Ads to Snowflake 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

Snowflake 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 Snowflake

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Amazon Ads data in PostgreSQL

Bring all your Amazon Ads 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

Snowflake catchr_data.Amazon Ads_raw

TableScopeStatus

accountsSelectedReady

advertisersSelectedReady

campaignsSelectedReady

ad_groupsSelectedReady

Data freshness

Keep your Snowflake tables up to date

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

Amazon AdsConfigured account

SnowflakeAmazon 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

Analysis

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

Snowflake 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 Snowflake

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 Snowflake in minutes

Move your data from Amazon Ads to Snowflake 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 Snowflake destination

Add the account host, user, and database schema. Use a password for compatible users or a PEM private key for service accounts and stricter policies.

Destination / Snowflake Required fields

Authentication Choose one

Password

Key pair

Host Required

xy12345.eu-west-1

Username Required

catchr_service

Database Required

MARKETING.RAW

Private key passphrase Optional

••••••••••••

Private key Required for key pair

-----BEGIN ENCRYPTED PRIVATE KEY----- MIIE6TAbBgkqhkiG9w0BBQMw... -----END ENCRYPTED PRIVATE KEY-----

Step three

Keep your Snowflake tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.

Export job / PostgreSQL Example

Schema Destination

marketing_raw

Table Per job

linkedin_ads_daily

Recurring schedule Choose a cadence

Every 6 hours

Daily · 07:00

Weekly · Mon

First sync scheduledSelected fields · configured history

07:00 UTC

Review 30-day Amazon Ads campaign delivery in SQL.

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

Choose what to load into Snowflake.

Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.

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Emailing

Before you schedule the job.

Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.

How do I route Amazon Ads data into Snowflake tables?

Connect Amazon Ads and add Snowflake as the stored destination. Create a datastream, then save a job that sends the required records to the "advertisers" table.

Which Amazon Ads fields can I store in Snowflake?

Select concrete Amazon Ads fields such as Sponsored Product Acos Clicks 14d, Sponsored Product Acos Clicks 7d, Add To Cart, and Day of the year. You can rename the chosen columns, preview the result, and write them to Snowflake tables such as accounts, advertisers, and campaigns.

Can I backfill Amazon Ads data before scheduling Snowflake updates?

Choose how far back the first Amazon Ads load should go and how much recent data each "advertisers" run should refresh. Catchr splits large backfills into smaller intervals.

What happens if no partition field is chosen for Amazon Ads?

For recurring Amazon Ads loads, assign an eligible partition field to "advertisers". Otherwise Catchr cannot match the refresh window and will append the returned records.

How does Amazon Ads data in Snowflake support deeper analysis?

With Amazon Ads data, a Snowflake query can summarize spend, impressions, clicks, and click-through rate by campaign. Join Sponsored Product Acos Clicks 14d and Sponsored Product Acos Clicks 7d with shared account or date keys to build a reusable performance model in Snowflake.

Does my Snowflake database need to exist before I connect it?

Yes. Connect an existing Snowflake database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Snowflake database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

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100+ sources

Used by the world's leading companies

Export Amazon Ads data to Snowflake

Centralize Amazon Ads data in PostgreSQL

Keep your Snowflake tables up to date

Unify Amazon Ads with the rest of your business data

Amazon Ads metrics and dimensions available in Snowflake

Connect Amazon Ads to Snowflake in minutes

Connect your Amazon Ads account

Choose the Snowflake destination

Keep your Snowflake tables updated

Review 30-day Amazon Ads campaign delivery in SQL.

Choose what to load into Snowflake.

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