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Teads
Selected accounts
Configured job
PostgreSQL
Destination table
Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
Teads
3 advertising accounts
Connected
Google Ads
2 advertising accounts
Connected
Google Analytics 4
1 web property
Connected
HubSpot
1 CRM portal
Connected
Add the database host and credentials once. Catchr checks the connection so your exports start with a reachable destination.
Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.
This example summarizes spend, impressions, clicks, and click-through rate by campaign.
Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.
Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.
Start with a connected Teads source and an existing PostgreSQL database. Create a datastream between them, then configure the accounts, fields, schedule, and "accounts" table.
Select concrete Teads fields such as Billable Events, Budget Delivered Total Ad Cost - Cost per Result, Budget Delivered Total Ad Cost - CPC, 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.
Set an initial fetch period for Teads, then choose the frequency and lookback window for the job writing to "accounts". Catchr rewrites that selected period on each run.
The partition field tells Catchr which Teads rows in "accounts" belong to the period being refreshed. If you omit it, every run appends records rather than updating them.
With Teads data, a PostgreSQL query can summarize spend, impressions, clicks, and click-through rate by campaign. A query built around Billable Events and Budget Delivered Total Ad Cost - Cost per Result can support trend reviews, account comparisons, and operational reporting.
Yes. Connect an existing PostgreSQL database first. The Catchr job creates and populates the destination table you configure inside that 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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