Home > Destinations > Snowflake > Google Ads

Connect Google Ads to Snowflake

Connect Google 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 Google Ads API pipeline.

Google Ads export job

First sync scheduled

Google Ads Selected accounts

Configured job

Snowflake Destination table

Account Google 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 Google Ads data to Snowflake

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Google Ads data in PostgreSQL

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

Source

Google Ads Advertising data

INaccounts PMadvertisers CUcampaigns BLad_groups

Catchr pipeline IN PM CU Extract · normalize · load

Snowflake catchr_data.Google Ads_raw

TableScopeStatus

accountsSelectedReady

advertisersSelectedReady

campaignsSelectedReady

ad_groupsSelectedReady

Data freshness

Keep your Snowflake tables up to date

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

Google AdsConfigured account

SnowflakeGoogle 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 Google 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 · Impr. (Abs. Top) % 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

Impr. (Abs. Top) %accounts

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

Google Ads metrics and dimensions available in Snowflake

Access 118 metrics and 409 dimensions from Google Ads connectors including Cost, Clicks, Impressions, Conversions, Conv. rate, CTR, Avg. CPC, ROAS, Campaign Name, Campaign state, Ad group, Ad group state, Advertising Channel, Keyword Match Query, Query Match type, Country Code and many more...

118

Metrics availables

409

Dimensions availables

View all Google Ads Metrics metrics and dimensions

Connect Google Ads to Snowflake in minutes

Move your data from Google 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 Google Ads account

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

Connect now

Client A · Connected sources

5 sources ready

Google 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 Google 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.google_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.

Which steps connect Google Ads with a Snowflake destination?

Register Google Ads, save the Snowflake connection details, and pair both systems in a datastream. The associated job previews and writes the selected columns to "ad groups".

What schema can I build from Google Ads data in Snowflake?

Select concrete Google Ads fields such as Impr. (Abs. Top) %, Active View avg. CPM, Active View viewable CTR, and Accent color (responsive). You can rename the chosen columns, preview the result, and write them to Snowflake tables such as accounts, advertisers, and campaigns.

How are Google Ads history and recurring Snowflake loads scheduled?

The "ad groups" job can begin with a historical Google Ads fetch and continue on a recurring schedule. Available history and frequency depend on the source API and your plan.

How does Catchr update existing Google Ads records in Snowflake?

Select a valid date field when configuring the Google Ads job for "ad groups". Catchr deletes and rewrites the scheduled window, limiting duplicate rows across overlapping runs.

Which dashboards can use Google Ads data stored in Snowflake?

With Google Ads data, a Snowflake query can summarize spend, impressions, clicks, and click-through rate by campaign. Turn Impr. (Abs. Top) % and Active View avg. CPM into a stable Snowflake view that analysts and reporting tools can query repeatedly.

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 Google Ads data to Snowflake

Centralize Google Ads data in PostgreSQL

Keep your Snowflake tables up to date

Unify Google Ads with the rest of your business data

Google Ads metrics and dimensions available in Snowflake

Connect Google Ads to Snowflake in minutes

Connect your Google Ads account

Choose the Snowflake destination

Keep your Snowflake tables updated

Review 30-day Google Ads campaign delivery in SQL.

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