Klaviyo to Snowflake integration
Connect Klaviyo to Snowflake and automatically sync your marketing platform data. Weld extracts Lists, Profiles, Campaigns, and Flows from Klaviyo, loads them into Snowflake, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceKlaviyoConnected- event14 cols
- profile39 cols
- segment_profile4 cols
- list_profile3 cols
- campaign22 cols
- metric10 cols
- Extract
- Load
- Keep in sync
DestinationSnowflakeReady- klaviyo.eventSynced
- klaviyo.profileSyncing
- klaviyo.segment_profileSynced
- klaviyo.list_profileSynced
- klaviyo.campaignSynced
- klaviyo.metricSynced
- Klaviyo tables
- 13
- fields, typed
- 135
- relationships kept
- 8
- agent context included
- MCP
Trusted by data and AI teams
How to set up Klaviyo to Snowflake in Weld.
In the app, with the API or an agent.
New connectionKlaviyoAuthorisedWhy sync Klaviyo to Snowflake?
Ready for analysis.
Centralizing your Klaviyo data in Snowflake lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying Klaviyo data directly in Snowflake using SQL or your preferred BI tool.
Centralized data warehouse
Bring Klaviyo data into Snowflake alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from Klaviyo to Snowflake. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Klaviyo table, keys intact.
Weld syncs the following data objects from Klaviyo into Snowflake. The exact tables and fields depend on your Klaviyo configuration and the permissions granted during setup.
- event
- profile
- segment_profile
- list_profile
- campaign
- metric
- segment
- flow
- list
- email_template
- campaign_audiences_included
- campaign_audiences_excluded
- profile_predictive_analytics_ranked_channel_affinity
Ask your agent.
It queries Snowflake for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Klaviyo context, finds the tables it needs and runs the query in Snowflake.
How many event rows do we have per profile? Use our Klaviyo data in Snowflake.
Reading the Klaviyo context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
ELT vs. reverse ETL: Klaviyo and Snowflake
ELT (Extract, Load, Transform) moves data from Klaviyo into Snowflake for analysis. This is the approach shown on this page, and the one to use for dashboards, reports, and data models.
Reverse ETL works the other direction: it pushes enriched data from Snowflake back into Klaviyo. For example, you could sync computed lead scores or customer segments from your warehouse into Klaviyo to personalize outreach.
Weld supports both directions, so you can build a complete data loop between Klaviyo and Snowflake.
Snowflake to Klaviyo- Incremental syncing
- Weld uses incremental syncing where supported by the Klaviyo API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Klaviyo adds new fields, they're detected and added to the corresponding Snowflake tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Keep reading.
Guides, docs and schema.
Common questions.
About Klaviyo to Snowflake.
Start syncing Klaviyo to Snowflake.
Set up your Klaviyo data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
