Pull subscriber profiles, campaign metrics, flow events, and revenue attribution data from Klaviyo into your warehouse, CRM, or analytics stack, fully transformed, on your schedule, with no engineering required.
Klaviyo is the email and SMS marketing platform of choice for thousands of e-commerce brands. It tracks subscriber behavior, purchase history, campaign engagement, revenue attribution, and lifecycle stage with a level of detail most marketing tools can't match. Product teams use it to model customer journeys. Marketing teams use it to understand what campaigns drive actual revenue. Finance teams want it to reconcile channel-level attribution against transactions.
The problem is that all of that data sits inside Klaviyo. You can export CSVs manually. You can pull individual reports. But the moment you need Klaviyo data in the same place as your Shopify orders, your Snowflake warehouse, or your customer 360 view, you're either writing custom API scripts or waiting on an engineer who has other priorities.
That's the problem the new Integrate.io Klaviyo connector solves.
What the connector does
The Integrate.io Klaviyo connector pulls data directly from Klaviyo's API, including subscriber profiles, list memberships, campaign performance, flow events, metrics, and revenue attribution, and lands it wherever your business needs it. The full Integrate.io platform sits in between, which means:
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Scheduled or webhook-driven ingestion: Pull Klaviyo data on any cadence you need, from near real-time event triggers to hourly, daily, or weekly runs aligned to your reporting calendar.
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Transformation built in: Parse nested profile properties, flatten event payloads, map Klaviyo's custom fields to your canonical schema, deduplicate subscriber records, and apply any custom logic in low-code or Python.
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Any destination: Postgres, Snowflake, BigQuery, Redshift, S3, REST APIs, and 200+ other targets.
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Production-grade operations: Watermark-based incremental loads, error routing, retry logic, full run history, and alerting, the same infrastructure running millions of business-critical pipelines for our customers today.
It's not a glorified data export. It's a real pipeline, built for teams who need Klaviyo data to flow as reliably as any other production data source.
A live customer use case: e-commerce revenue attribution at scale
A mid-market direct-to-consumer apparel brand uses Integrate.io to pull Klaviyo campaign and flow data into their Snowflake warehouse alongside Shopify transaction data and Google Ads spend. Their growth and finance teams need a single view of which email and SMS touchpoints are driving revenue, and Klaviyo's native reporting, while strong, doesn't connect to the rest of their stack without manual exports.
Here's how their setup works:
The source: They pull Klaviyo campaign metrics, flow events, and subscriber profile attributes for their full list of 400,000+ active contacts. Each run captures new events and updated profile properties incrementally using watermarks so they're never reprocessing the full dataset.
The pipeline: Integrate.io runs a daily job that ingests Klaviyo event data, normalizes custom profile properties to their schema, joins subscriber IDs to Shopify customer records, and loads clean, attributed records into Snowflake. No custom Python. No fragile cron jobs.
The outcome: Their finance team has a daily-refreshed view of email and SMS-influenced revenue by campaign, segment, and lifecycle stage inside their BI tool. Manual attribution reconciliation, which previously took a full analyst day each week, is eliminated.
The pattern works because Integrate.io treats Klaviyo data the same way it treats any other data source: as something to be ingested, transformed, and delivered cleanly to wherever it's most useful.
Beyond e-commerce brands: use cases for any Klaviyo customer
The e-commerce attribution story is one shape of the use case. Here are several more that Klaviyo customers are increasingly asking about:
Centralize subscriber and engagement data in your warehouse: Move Klaviyo list memberships, campaign open rates, click events, and revenue metrics into Snowflake, BigQuery, or Redshift on a repeating schedule. Eliminates the weekly CSV export habit and gives your analytics team a queryable, historical record of every campaign send and engagement event.
Trigger downstream workflows on subscriber lifecycle events: When a subscriber hits a key milestone, completing a flow, making a first purchase, or going dormant, route that event to your CRM, fire a Slack alert to your ops team, or create a support task for high-value accounts. Klaviyo captures the signal; Integrate.io moves it to wherever your team acts on it.
Feed AI and analytics models with behavioral data: Klaviyo's event stream, open and click sequences, purchase recency, and predicted lifetime value attributes are exactly the kind of behavioral signals that feed churn prediction, product recommendation, and segmentation models. Any data Integrate.io ingests can be transformed and prepared for downstream AI workflows.
Power customer-facing or internal dashboards: Agencies and multi-brand operators managing Klaviyo accounts for multiple clients can use Integrate.io to route each client's Klaviyo data into isolated schemas or separate destinations, enabling per-client reporting without cross-contaminating data. The same pattern from the e-commerce example above scales across accounts.
Replace fragile manual exports with a reliable pipeline: Most teams have someone who exports a Klaviyo report every Monday morning and pastes it into a spreadsheet. The connector replaces that with a pipeline that runs continuously, with full observability and no babysitting.
Why fixed-fee matters for this use case
Most data integration tools charge per row, per connector, or per monthly active record. For a Klaviyo account with hundreds of thousands of subscribers, daily event ingestion, and historical campaign data going back years, per-row pricing turns a routine sync job into an unpredictable monthly bill.
Integrate.io's fixed-fee model means you pay the same amount whether you're syncing 50,000 Klaviyo subscriber records or 5 million. That predictability matters most for high-volume e-commerce brands, agencies running Klaviyo across multiple client accounts, and any team running frequent incremental syncs to keep warehouse data current.
Getting started
The Klaviyo connector is available now to all Integrate.io customers.
The fastest way to start is to book a call with a solutions engineer. They'll assess your Klaviyo account structure, destination requirements, and the ingestion cadence that fits your reporting needs before you configure a single pipeline.
From there, Integrate.io offers a two-week free pilot with white-glove implementation support. Your solutions engineer will build out the initial pipeline, validate the data in your destination, and confirm the transformation logic matches your schema before you commit to anything. No DIY trial, no figuring it out alone, just a working solution by the end of the pilot.
To get started you'll need:
- A Klaviyo account with API access (Private API key required; available on all Klaviyo plans)
- The specific lists, metrics, or flow IDs you want to ingest, or a clear data scope (e.g., all campaigns from the past 12 months)
- A confirmed destination, whether that's Snowflake, BigQuery, Redshift, Postgres, or another supported target
Have a Klaviyo use case you're trying to unblock? Schedule a time to speak with us so that we can show you how we can help.
