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