Supermetrics for Databricks
Connect Klaviyo to Databricks — Lifecycle Data on the Lakehouse
Load Klaviyo email and SMS campaign data into Databricks for lifecycle marketing analytics.
Why Connect Klaviyo to Databricks?
Warehouse your Klaviyo data in Databricks for unlimited historical analysis and cross-source SQL.
- Analyze Klaviyo flow step-by-step conversion rates in Databricks to optimize automated email and SMS sequences.
- Join Klaviyo revenue data with Shopify orders in Databricks to validate email-attributed revenue claims.
- Query email and SMS campaign performance side by side in Databricks for channel comparison.
How to Connect Klaviyo to Databricks
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and Databricks as your destination.
- 2
Authorize and configure
Connect your data source account, provide your Databricks workspace URL and access token, choose your catalog and schema, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into Databricks Delta tables automatically.
Klaviyo Data Schema in Databricks
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Klaviyo data looks like in Databricks.
Data Freshness & Scheduling
Klaviyo data is typically available in Databricks within 3-6 hours of the sync schedule.
What Klaviyo Data Can You Pull into Databricks?
Supermetrics gives Databricks access to your full Klaviyo reporting data — metrics and dimensions you already know from the Klaviyo interface.
Key Metrics
- Emails sent
- Open rate
- Click rate
- Revenue per recipient
- Bounce rate
- Unsubscribe rate
- Received SMS
- Clicked SMS
- Unsubscribed from SMS
- Spam complaint rate
- Emails delivered
- Unique opens
- Unique clicks
Key Dimensions
- Campaign name
- Flow name
- Flow email/SMS step
- Subject line
- Segment
- List
- Tag
- Send date
- Channel (Email/SMS)
- Template
- Product name
- Customer segment
Resources & Guides
Marketing data warehousing 101
Build vs. buy: data pipeline decisions
The marketing analytics roadmap
Why Supermetrics for Databricks?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in Databricks — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Incremental Loading
Only new and updated Klaviyo records are transferred on each run — efficient, cost-effective, and fast. Full historical backfill available on demand.
Your Data, Your Infrastructure
Supermetrics moves data directly to your destination — nothing is stored on our servers. SOC 2 Type II certified, GDPR and CCPA compliant. Your data stays in infrastructure you control, simplifying privacy and compliance reviews.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much Klaviyo data as you need without worrying about cost spikes.
Complete Data Access
Pull every contact, deal, campaign, and custom property from Klaviyo. No field restrictions, no record limits — your complete dataset, ready for analysis.
Frequently Asked Questions
- Log into the Supermetrics Hub, create a new data transfer, select Klaviyo as the source and Databricks as the destination. Authorize your Klaviyo account, provide your Databricks workspace URL and access token, choose your catalog, schema, and Unity Catalog settings, select the fields you need, set a schedule, and start the transfer. No custom notebooks, Spark jobs, or Delta Lake plumbing required — Supermetrics writes directly to Delta tables and registers them in Unity Catalog so your data is governed, versioned, and queryable with both SQL and PySpark from the moment it lands.
- Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Klaviyo credentials are encrypted at rest and in transit. Data flows directly from the Klaviyo API into your Databricks workspace — Supermetrics never stores your marketing data on its own servers. Unity Catalog provides centralized governance: fine-grained row-level and column-level security, attribute-based access control, and a full audit log of who queried what. Delta Lake's transaction log makes every write atomic and traceable, so you always have a verifiable lineage of your Klaviyo data from ingestion to insight.
- That is one of the defining advantages of the Databricks lakehouse architecture. Once Klaviyo data lands as a Delta table, you can JOIN it with any other table in your lakehouse — raw event streams, CRM exports, product analytics, even ML Feature Store tables used for model training. Query in SQL from Databricks SQL warehouses or switch to PySpark and pandas for data science workflows — same data, no copying. Supermetrics supports 170+ connectors that all land in the same Unity Catalog namespace, and the Photon engine accelerates analytical queries on those Delta tables automatically.
- All standard Klaviyo reporting fields are available, including Emails sent, Open rate, Click rate, Revenue per recipient, Bounce rate, Unsubscribe rate, and many more. You select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data already stored in your Delta tables. Delta Lake's time travel lets you query any previous version of your Klaviyo data — useful for auditing retroactive metric recalculations or reproducing a dashboard state from last quarter. Schema evolution is handled automatically, so new fields appear as columns without breaking existing queries.
- Data freshness depends on your transfer schedule. Supermetrics supports hourly, daily, or weekly transfers into Databricks. Most teams schedule daily transfers so yesterday's complete data is available each morning. Delta Lake's MERGE capability ensures only new and changed records are upserted, keeping cluster utilization and storage costs low. For teams that need near-real-time visibility, the Photon engine accelerates incremental queries so dashboards refresh in seconds, and you can set up Databricks SQL alerts to trigger notifications when key Klaviyo metrics cross your thresholds.
- Yes. Flow-level metrics including per-step open rates, click rates, and revenue per recipient are available in Databricks.
- Yes. SMS-specific metrics like received, clicked, and unsubscribed are available as fields for your Delta tables.
Also Connect to Databricks
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