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Connect X / Twitter Ads to PostgreSQL

Connect X / Twitter Ads to PostgreSQL and export selected accounts, metrics, and dimensions to your PostgreSQL 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 PostgreSQL

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 PostgreSQL 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 PostgreSQL

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 PostgreSQL in minutes

Move your data from X / Twitter Ads to PostgreSQL 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 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 PostgreSQL destination

Add the database host and credentials once. Catchr checks the connection so your exports start with a reachable destination.

Destination / PostgreSQL Required fields
Host Required
warehouse.company.net
Username Required
catchr_writer
Password Required
••••••••••••
Database Required
marketing
Step three

Keep your PostgreSQL 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 PostgreSQL.

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 PostgreSQL?

Register X / Twitter Ads, save the PostgreSQL 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 PostgreSQL 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 PostgreSQL tables such as accounts, advertisers, and campaigns.

How do scheduled PostgreSQL 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 PostgreSQL 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 PostgreSQL?

With X / Twitter Ads data, a PostgreSQL query can summarize spend, impressions, clicks, and click-through rate by campaign. Turn App Clicks and Spend into a stable PostgreSQL view that analysts and reporting tools can query repeatedly.

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

Yes. Connect an existing PostgreSQL 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 Postgres 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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