Integrate Autopilot with Google BigQuery
Autopilot is a visually-focused marketing software that provides tools for automating a customer’s journey. These include custom triggers that can be mapped out and automated ahead of time so that you can send the right kind of follow-up communications to the right customers. Autopilot can also automatically capture visitors, segment contacts using pre-established filters, and track the progress that a company is making towards a marketing goal. This allows users to make modifications that increase efficiency in real time.
About Google BigQuery
Querying massive datasets can be time-consuming and expensive without the right hardware and infrastructure. Google BigQuery solves this problem by enabling super-fast, SQL-like queries against petabytes of data using the processing power of Google’s infrastructure.
It’s a scalable, no-setup service that gives you real-time business insights about your data.
Popular Use Cases
Bring all your Autopilot data to Amazon Redshift
Load your Autopilot data to Google BigQuery
ETL all your Autopilot data to Snowflake
Move your Autopilot data to MySQL
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Autopilot's End Points
Manage your contacts by updating, deleting, or retrieving contact data, including names, emails, phone numbers, the source of the lead and their affiliated company. With this information, you can more easily segment each contact into appropriate groupings that will make your marketing more targeted and effective.
Retrieve a list of existing smart segments, including the names and IDs for those segments. Then, gather data from a single smart segment to see relevant contact information, including how many contacts are grouped into that segment and who the first 100 contacts are. You will also get a bookmark link to the next batch of contacts, should there be more.
Get a list of journeys that have API triggers, which includes their names and trigger IDs. Then, use that trigger to automatically add a contact to a journey via the contact’s ID or email address.