Hawky + Google BigQuery
Your own tables: revenue, cohorts, LTV.
- How it connects
- Connect: Connected once from Connections, then every agent can use it.
- Role in an agent
- Outcome: What did the spend actually produce?
- Group
- Sheets, files and warehouses
- Access
- Read
Google BigQuery in your workspace
Rows from your own BigQuery tables, from a SELECT you write, synced daily.
Connect it once and every agent in your workspace can use it. Agents that propose changes ask for your yes before anything moves.
What teams do with Google BigQuery
No agent runs on one tool. Each of these combines Google BigQuery with what it is judged against or where the result goes.
Your own conversion table joined with spend, for true cost per acquisition.
- Google BigQueryAppsFlyer
Lifetime value by acquisition campaign.
- Google BigQueryGoogle Ads
Offline conversions by campaign.
- Google BigQuerySlack
A weekly warehouse-backed report, without a BI tool.
More in sheets, files and warehouses
Your own tables, plans and files, including systems with no API at all.
Google Sheets
ConnectBudget plans, targets and trackers. Hawky can also write results back.
Google Drive
Sign inCreatives, briefs and reports.
Airtable
ConnectContent calendars, creative trackers and plans.
SFTP and files
SFTPScheduled file drops from systems with no API.
Your own backend
APIInternal data such as orders, inventory or attribution, through an API.
Connect Google BigQueryonce. Hawky’s agents put it to work for your performance marketing.
Describe a growth job in chat, and an agent runs it on Google BigQuery and the rest of your stack.
