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Connect X / Twitter Ads to Snowflake

Connect X / Twitter 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 X / Twitter Ads API pipeline.

Used by the world's leading companies

Export X / Twitter Ads data to Snowflake

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize X / Twitter Ads data in PostgreSQL

Bring all your X / Twitter 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 X / Twitter Ads so every dashboard, model, and report works with fresh information.

Analysis

Unify X / Twitter Ads with the rest of your business data

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

X / Twitter Ads metrics and dimensions available in Snowflake

Access 277 metrics and 141 dimensions from X / Twitter Ads connectors including Conversion Purchases Total, Conversion Purchases Sale Amount, Mobile Conversion Purchases Total, Mobile Conversion Add To Carts Total, Mobile Conversion Checkouts Initiated Total, Date, Campaign Name, Ad Group Name, Ad Name, Campaign Effective Status, Account Name and many more...

277

Metrics availables

141

Dimensions availables

Connect X / Twitter Ads to Snowflake in minutes

Move your data from X / Twitter 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 X / Twitter Ads account

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

Client A · Connected sources
5 sources ready
X / Twitter Ads X / Twitter 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 Twitter Ads campaign delivery in SQL.

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

X / Twitter 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.twitter_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.

What do I need to export X / Twitter Ads data to Snowflake?

Register X / Twitter Ads, save the Snowflake connection details, and pair both systems in a datastream. The associated job previews and writes the selected columns to "campaigns".

What does an X / Twitter Ads table in Snowflake contain?

Select concrete X / Twitter Ads fields such as App Clicks, Spend, Total Spend Transactions, 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 do scheduled Snowflake jobs keep X / Twitter Ads data current?

The "campaigns" job can begin with a historical X / Twitter Ads fetch and continue on a recurring schedule. Available history and frequency depend on the source API and your plan.

What controls row replacement in an X / Twitter Ads Snowflake table?

Select a valid date field when configuring the X / Twitter Ads job for "campaigns". Catchr deletes and rewrites the scheduled window, limiting duplicate rows across overlapping runs.

How can I model X / Twitter Ads performance with Snowflake?

With X / Twitter Ads data, a Snowflake query can summarize spend, impressions, clicks, and click-through rate by campaign. Turn App Clicks and Spend 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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