Send selected fields from 100+ advertising, analytics, CRM, ecommerce, email, and social platforms to your Google BigQuery project. Configure the history once, then keep each table updated on your chosen schedule.
100+ sources
Selected accounts
Export jobs
BigQuery
Your dataset
Bring data from Meta Ads, Google Ads, LinkedIn Ads, GA4, Shopify, HubSpot, and dozens of other platforms into a single BigQuery warehouse.
Catchr handles extraction, normalization, and loading automatically.
Query every marketing channel from one place.
Create attribution models, combine advertising with CRM or ecommerce data, and answer questions that individual marketing platforms cannot.
Use your centralized marketing data wherever your team works. Connect Looker Studio, Power BI, Tableau, AI agents, notebooks, or your own internal applications without rebuilding integrations for every tool.
Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.
Add the BigQuery destination once, then configure the accounts, fields, historical window, table, and schedule for each export job.
Authenticate all the platforms used, then choose the exact accounts your team needs for reporting and analysis.
Meta Ads
3 advertising accounts
Connected
Google Ads
2 advertising accounts
Connected
Google Analytics 4
1 web property
Connected
HubSpot
1 CRM portal
Connected
Enter the Project ID, Dataset ID, and service-account JSON key for the Google Cloud destination that should receive the tables.
Name the table, select the available fields, configure the initial import, preview rows, and schedule recurring exports.
What are customer tell from us.
After three years of use, Catchr has become essential for both our teams and our clients. So far, it has been our best solution for compiling and analyzing data from different advertising platforms. It’s easy to set up, and the customer service is responsive and excellent.
With Catchr’s automated API, we can finally collect and centralize all advertising data, connect it with booking information, and calculate the real ROAS for our restaurant clients. It gives them full visibility, more autonomy, and the ability to optimize campaigns to maximize ROI.
The solution is a real game changer, providing optimal time savings for our data reporting. The major strength of the solution is their highly responsive and professional support.
Practical answers about credentials, schedules, history, tables, and the boundary between the connector and your warehouse.
A BigQuery connector moves data from another platform into tables in Google BigQuery. Catchr connects marketing sources, lets you select available fields and an initial historical window, and updates the destination on a recurring schedule.
You need a Google Cloud Project ID, a BigQuery Dataset ID, and a JSON key for a service account with the permissions required to access and write to the destination dataset. Your Google Cloud administrator controls those permissions.
Choose from the recurring schedules available for the export job, from frequent intervals through daily, weekly, or monthly schedules. The source API can report or revise data on its own timeline, so a frequent job does not make the source itself real-time.
Yes. During setup, configure the initial import period supported by the source. Catchr processes that selected window before keeping the table updated on the recurring schedule. Available history depends on the source API and your configuration.
Configure the destination table for the export job and, when the selected schema contains an eligible date field, optionally use that field for date partitioning. Catchr handles compatible schema updates; clustering and downstream model design are not part of this setup.
No. Catchr delivers selected source data to the destination tables. Your team controls IAM, SQL, views, joins, dbt models, business definitions, and the BI tools that query BigQuery.
Use a native transfer when it supports the exact source, schema, and setup you need. Catchr is useful when you want one no-code workflow across a broader set of marketing platforms, with account selection, available field configuration, and scheduled exports in the same product.
Our teams is always here to responds to any question you could have about our data connector.
Connect a source, add your BigQuery destination, and configure the accounts, fields, history, and schedule that belong in the job.
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