Klaviyo to Google BigQuery integration
Connect Klaviyo to Google BigQuery and automatically sync your marketing platform data. Weld extracts Lists, Profiles, Campaigns, and Flows from Klaviyo, loads them into Google BigQuery, 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
DestinationGoogle BigQueryReady- 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 Google BigQuery in Weld.
In the app, with the API or an agent.
New connectionKlaviyoAuthorisedWhy sync Klaviyo to Google BigQuery?
Ready for analysis.
Centralizing your Klaviyo data in Google BigQuery 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 Google BigQuery using SQL or your preferred BI tool.
Centralized data warehouse
Bring Klaviyo data into Google BigQuery 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 Google BigQuery. 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 Google BigQuery. 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 Google BigQuery 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 Google BigQuery.
How many event rows do we have per profile? Use our Klaviyo data in Google BigQuery.
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 Google BigQuery
ELT (Extract, Load, Transform) moves data from Klaviyo into Google BigQuery 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 Google BigQuery 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 Google BigQuery.
Google BigQuery 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 Google BigQuery 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 Google BigQuery.
Start syncing Klaviyo to Google BigQuery.
Set up your Klaviyo data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
