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Connect StackAdapt to PostgreSQL

Connect StackAdapt 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 StackAdapt API pipeline.

StackAdapt export job

First sync scheduled

StackAdapt Selected accounts

Configured job

PostgreSQL Destination table

Account StackAdapt · 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 StackAdapt data to PostgreSQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize StackAdapt data in PostgreSQL

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

Source

StackAdapt Advertising data

INaccounts PMadvertisers CUcampaigns BLad_groups

Catchr pipeline IN PM CU Extract · normalize · load

PostgreSQL catchr_data.StackAdapt_raw

TableScopeStatus

accountsSelectedReady

advertisersSelectedReady

campaignsSelectedReady

ad_groupsSelectedReady

Data freshness

Keep your PostgreSQL tables up to date

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

StackAdaptConfigured account

PostgreSQLStackAdapt 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 StackAdapt 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 · Atos Advertising

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

PostgreSQL model business_360 Unified

FieldFrom

customer_idCRM

Atosaccounts

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

StackAdapt metrics and dimensions available in PostgreSQL

Access 56 metrics and 34 dimensions from StackAdapt connectors including Cost, Impressions, Clicks, CTR, Conversions, Revenue, ROAS, Date, Campaign Name, Campaign ID, Campaign Group Name, Advertiser Name, Channel Name, Campaign Status and many more...

Metrics availables

Dimensions availables

View all StackAdapt Metrics metrics and dimensions

Connect StackAdapt to PostgreSQL in minutes

Move your data from StackAdapt 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 StackAdapt account

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

Connect now

Client A · Connected sources

5 sources ready

StackAdapt 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 StackAdapt 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.stackadapt_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.

Which steps connect StackAdapt with a PostgreSQL destination?

Register StackAdapt, save the PostgreSQL connection details, and pair both systems in a datastream. The associated job previews and writes the selected columns to "campaigns".

What schema can I build from StackAdapt data in PostgreSQL?

Select concrete StackAdapt fields such as Atos, Audio Completion Rate, Audio Completions, 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 are StackAdapt history and recurring PostgreSQL loads scheduled?

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

How does Catchr update existing StackAdapt records in PostgreSQL?

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

Which dashboards can use StackAdapt data stored in PostgreSQL?

With StackAdapt data, a PostgreSQL query can summarize spend, impressions, clicks, and click-through rate by campaign. Turn Atos and Audio Completion Rate 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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100+ sources

Used by the world's leading companies

Export StackAdapt data to PostgreSQL

Centralize StackAdapt data in PostgreSQL

Keep your PostgreSQL tables up to date

Unify StackAdapt with the rest of your business data

StackAdapt metrics and dimensions available in PostgreSQL

Connect StackAdapt to PostgreSQL in minutes

Connect your StackAdapt account

Choose the PostgreSQL destination

Keep your PostgreSQL tables updated

Review 30-day StackAdapt campaign delivery in SQL.

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