Moving marketing data by hand means logging into every platform, rebuilding each extract, and uploading every file to Azure Blob Storage again.
A recurring delivery still starts with separate logins, account selections, date ranges, and downloads for every marketing platform.
Inconsistent names and formats create another round of checking before anything reaches the correct bucket.
Manual routes break when a task is late or its owner is unavailable. The latest file can be missing when another workflow expects it.
Select the ad accounts, available fields, initial history, file format, and schedule for the job. The next delivery uses the same configured route.
The configured job runs on the recurring schedule you choose, so a fresh delivery no longer depends on someone repeating the download and upload.
Open a source route for its data scope, file example, setup requirements, reporting constraints, and related workflows.
Set the initial history supported by the source and choose a recurring schedule. Catchr performs scheduled file exports rather than a live streaming connection.
Connect Azure Blob Storage with Azure Storage connection string and container name. Your team keeps control of access, retention, transformations, joins, and downstream reporting.
Answers about direction, credentials, file formats, history, scheduling, and ownership.
Connect Google Analytics in Catchr, then add Azure Blob Storage using an Azure Storage connection string and container name. Create a datastream between them and configure the fields, file name, CSV or JSON format, initial history, and recurring schedule.
Select the Google Analytics dimensions and metrics you need, such as 1-day active users, 28-day active users, 7-day active users, and Normalized Year. You can rename columns and preview the result before Catchr exports them as CSV or JSON files to your Azure Blob Storage container. Exact availability depends on the source API and account permissions.
Set the initial Google Analytics history separately from the recurring schedule. Catchr processes the available backfill, then writes new CSV or JSON files to your Azure Blob Storage container on the saved frequency. Available history depends on the source API and job settings.
Choose CSV or JSON for the export job. Catchr does not currently claim Parquet, Avro, or automatic blob partitioning for Azure Blob Storage.
After Google Analytics files land in your Azure Blob Storage container, load them into your warehouse or BI workflow to summarize users, sessions, conversions, and conversion rate by traffic source. The stored CSV or JSON history can support reusable dashboards, audits, and recurring client reports.
Catchr exports the selected fields as files. Your team owns storage access, retention, transformations, semantic models, joins, and downstream dashboards after the files reach Azure Blob Storage.
Catchr supports more than 100 platforms across advertising, analytics, CRM, ecommerce, email, SEO, and social. Explore the connector directory to confirm a specific source.
Our teams is always here to responds to any question you could have about our data connector.
Build the first scheduled CSV or JSON export with a 14-day free trial. No credit card required.
.svg){kind=logo}
.png){kind=logo}
