Klaviyo integration

Klaviyo data, in your warehouse.

A built-in ingestr connector: add credentials, pick tables, schedule it.

name: raw.profiles
type: ingestr
parameters:
  source_connection: klaviyo
  source_table: 'profiles'
  destination: snowflake
  incremental_strategy: merge

$ bruin run assets/raw/klaviyo.asset.yml

  1. extract · Klaviyo profilesincremental
  2. load · snowflake raw.profilesmerged
  3. checks · not_null, unique

Loaded and checked. Downstream models can run.

How it connects

Connected in three steps.

Email and SMS marketing automation platform providing customer segmentation, personalized messaging, and marketing campaign analytics.

  1. 01

    Add a Klaviyo connection with its credentials.

  2. 02

    Pick the tables to load and how: replace, append or merge.

  3. 03

    Bruin runs it on your schedule and checks every load.

Connection parameters

api_key
Klaviyo private API key

Tables

6 tables, ready to load.

  • profiles
  • lists
  • segments
  • campaigns
  • flows
  • metrics

The platform

Part of the Bruin platform.

Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.

Frequently asked

Questions about Klaviyo.

Does Bruin have a built-in Klaviyo integration?

Yes. Built-in ingestr source.

Which Klaviyo tables can Bruin load?

profiles, lists, segments, campaigns, flows, metrics.

Where can Klaviyo data go?

Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.

How fresh is the data?

As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.

Do we need Bruin Cloud?

No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.

Ready to connect Klaviyo?

$100 in credits and 50 AI tasks. No credit card.

A demo walks through your own data.

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