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Connect AdRoll to PostgreSQL

Connect AdRoll 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 AdRoll API pipeline.

Used by the world's leading companies

Export AdRoll data to PostgreSQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize AdRoll data in PostgreSQL

Bring all your AdRoll 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 AdRoll so every dashboard, model, and report works with fresh information.

Analysis

Unify AdRoll with the rest of your business data

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

AdRoll metrics and dimensions available in PostgreSQL

Access 27 metrics and 88 dimensions from AdRoll connectors including Cost, Revenue, Conversions, Clicks, Impressions, CTR, CPC, CPA, Date, Campaign Name, Campaign Status, Campaign Type, Campaign Channel, Ad Group Name, Ad Name, Advertiser Name and many more...

27

Metrics availables

88

Dimensions availables

Connect AdRoll to PostgreSQL in minutes

Move your data from AdRoll 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 AdRoll account

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

Client A · Connected sources
5 sources ready
AdRoll 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 AdRoll campaign delivery in SQL.

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

AdRoll.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.adroll_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.

How does an AdRoll-to-PostgreSQL workflow work in Catchr?

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

Can I choose the AdRoll columns loaded into PostgreSQL?

Select concrete AdRoll fields such as Bounced Visitors, Click CPA, Click Revenue, 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.

Can I choose both history and frequency for an AdRoll PostgreSQL job?

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

Can Catchr refresh only the recent AdRoll rows in PostgreSQL?

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

What business questions can AdRoll data answer in PostgreSQL?

With AdRoll data, a PostgreSQL query can summarize spend, impressions, clicks, and click-through rate by campaign. Join Bounced Visitors and Click CPA with shared account or date keys to build a reusable performance model in PostgreSQL.

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.

Still have a question ? 

Our teams is always here to responds to any question you could have about our data connector. 

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