Moving marketing data by hand means logging into every platform, rebuilding each extract, and uploading every file to Google Cloud 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 Google Cloud Storage with service-account JSON key and bucket ID. Your team keeps control of access, retention, transformations, joins, and downstream reporting.
Answers about direction, credentials, file formats, history, scheduling, and ownership.
Connect Adalyser in Catchr with your username and password, then add Google Cloud Storage using a service-account JSON key and bucket ID. Create a datastream, choose the fields and file format, and configure the export settings.
You can select from 43 metrics and 34 dimensions, including sales value, cost per lead, conversion rate, channel, product, platform, client, market, and week start. Exact availability depends on the Adalyser reports and account permissions.
Yes. Choose CSV or JSON when configuring the Adalyser export job, and Catchr will write the resulting files to your Google Cloud Storage bucket.
Configure the initial Adalyser history separately from the recurring export schedule. Catchr processes the available backfill and then writes new files to your Google Cloud Storage bucket according to the saved frequency; available history depends on Adalyser and the job settings.
Use the stored files in a warehouse or BI workflow to compare sales value, cost per lead, and lead-to-sale conversion rate across channels, products, platforms, markets, or clients for reusable agency dashboards, campaign reviews, and 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 Google Cloud 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.
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