Snowflake
Sync Revo with your Snowflake for data warehousing, analytics, and business intelligence.
What It Is
Revo connects to your Snowflake data warehouse to read tables, schemas, queries, and analytics, then transforms your data infrastructure into searchable, actionable intelligence that powers data-driven decisions.
What It Unlocks
- Search your entire data warehouse using natural language across all databases, schemas, tables, and views
- Auto-sync analytics data with Revo's intelligence modules, product metrics, customer behavior, revenue trends, and operational KPIs
- Cross-reference Snowflake data with Jira issues, product roadmaps, user feedback, and sales pipelines
- Trigger workflows based on data events like metric thresholds, anomaly detection, or scheduled reports
- Auto-generate insights from warehouse data, detect trends, forecast outcomes, and surface anomalies
How to Use It for Emails
When drafting email replies, Revo automatically pulls relevant Snowflake context:
- "What's our MRR growth this quarter?"
- → Revo queries your revenue tables for current metrics and trend analysis
- "How many active users does Customer X have?"
- → Revo searches usage tables for the account and shows engagement trends
- Includes source links to Snowflake queries and table schemas so recipients can verify data and drill deeper
Result: Emails grounded in accurate, real-time data, no more "I think the number is around..." or waiting for the data team.
How to Use It from Chat
Ask questions directly in Revo:
- "What's our customer churn rate this month?"
- "Show me top 10 features by user engagement"
- "Which customers have usage trending down over the last 30 days?"
Revo searches across Snowflake databases and runs queries, delivering answers with data sources and query logic.
How to Use It in Workflows
Trigger workflows FROM Snowflake:
- Daily active users drop 15%+
- → Query user activity tables
- → Create P0 issue in Jira
- → Notify #engineering with breakdown
- Customer usage exceeds plan limits
- → Pull account consumption data
- → Draft upsell email with ROI metrics
- → Notify account owner
- Revenue milestone hit
- → Monitor MRR/ARR tables
- → Trigger celebration workflow
- → Post to #company-updates
Update other systems FROM Snowflake:
- Weekly customer health score calculated
- → Run engagement queries
- → Update CRM with health scores
- → Flag at-risk accounts
- → Notify CS team
- Product metrics updated
- → Query feature usage and error rates
- → Update Product Intelligence module
- → Sync with roadmap priorities
Generate insights FROM Snowflake:
- Weekly business metrics
- → Query revenue, user growth, retention
- → Generate executive dashboard
- → Post to #leadership
- Feature impact report
- → Compare pre/post launch metrics
- → Measure adoption and engagement lift
- → Post to #product
