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Connect Apple Search Ads to Snowflake

Connect Apple Search 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 Apple Search Ads API pipeline.

Used by the world's leading companies

Export Apple Search Ads data to Snowflake

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Apple Search Ads data in PostgreSQL

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

Data freshness

Keep your Snowflake tables up to date

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

Analysis

Unify Apple Search Ads with the rest of your business data

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

Apple Search Ads metrics and dimensions available in Snowflake

Access 30 metrics and 106 dimensions from Apple Search Ads connectors including Local Spend Amount, Impressions, Taps, Installs, Conversion Rate, Tap-Through Rate (TTR), Average Cost Per Install Amount, Campaign Name, Ad Group Name, Keyword Text, Keyword Match Type, Search Term Source, Country Or Region, Day of the month and many more...

30

Metrics availables

106

Dimensions availables

Connect Apple Search Ads to Snowflake in minutes

Move your data from Apple Search 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 Apple Search Ads account

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

Client A · Connected sources
5 sources ready
Apple Search Ads Apple Search 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 Apple Search Ads campaign delivery in SQL.

This example summarizes spend, impressions, clicks, and click-through rate by campaign.

Apple Search Ads.sql
BigQuery SQL
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.apple_search_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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Before you schedule the job.

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

Where do I configure an Apple Search Ads export to Snowflake?

Connect Apple Search Ads as a Catchr source. Add your existing Snowflake database, create a datastream, and configure a job that writes the selected fields to the "campaigns" table.

Which parts of Apple Search Ads can be exported to Snowflake?

Select concrete Apple Search Ads fields such as Average Cost Per Acquisition Amount, Average Cost Per Acquisition Currency, Average CPM Amount, and Day of the month. You can rename the chosen columns, preview the result, and write them to Snowflake tables such as accounts, advertisers, and campaigns.

How does Catchr process a large Apple Search Ads backfill into Snowflake?

Catchr first processes the historical range configured for Apple Search Ads. Later runs update the "campaigns" table using the saved frequency and rolling import window.

How are overlapping Apple Search Ads import windows handled in Snowflake?

Catchr uses the selected partition field to refresh the relevant Apple Search Ads period inside "campaigns". Leaving it blank changes the job to append-only behavior.

What can I analyze with Apple Search Ads data in Snowflake?

With Apple Search Ads data, a Snowflake query can summarize spend, impressions, clicks, and click-through rate by campaign. A Snowflake view comparing Average Cost Per Acquisition Amount and Average Cost Per Acquisition Currency can feed agency dashboards or downstream BI models.

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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