Customer.io integration
Customer.io data, in your warehouse.
A built-in ingestr connector: add credentials, pick tables, schedule it.
name: raw.campaigns
type: ingestr
parameters:
source_connection: customer_io
source_table: 'campaigns'
destination: snowflake
incremental_strategy: merge$ bruin run assets/raw/customer_io.asset.yml
- extract · Customer.io campaignsincremental
- load · snowflake raw.campaignsmerged
- checks · not_null, unique
Loaded and checked. Downstream models can run.
How it connects
Connected in three steps.
Customer engagement platform that enables businesses to send automated messages across email, push, SMS, and more with detailed campaign analytics.
- 01
Add a Customer.io connection with its credentials.
- 02
Pick the tables to load and how: replace, append or merge.
- 03
Bruin runs it on your schedule and checks every load.
Connection parameters
- api_key
- App API Key with read permissions from Customer.io
- region
- Account region, either 'us' (default) or 'eu'
Tables
7 tables, ready to load.
campaignsbroadcastscustomerssegmentsnewslettersmessagesactivities
Step-by-step
Pick a destination.
Customer.io → Snowflake
Read the guide
Customer.io → Google BigQuery
Read the guide
Customer.io → Databricks
Read the guide
Customer.io → Amazon Redshift
Read the guide
Customer.io → PostgreSQL
Read the guide
Customer.io → ClickHouse
Read the guide
Customer.io → DuckDB
Read the guide
Customer.io → MotherDuck
Read the guide
The platform
Part of the Bruin platform.
Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.
Sources
DatabasesWarehousesApps & APIsFiles & storageStreams & webhooksWeb scrapingMove
Data IngestionMarketing & email
More tools, same category.
Frequently asked
Questions about Customer.io.
Does Bruin have a built-in Customer.io integration?
Yes. Built-in ingestr source.
Which Customer.io tables can Bruin load?
campaigns, broadcasts, customers, segments, newsletters, messages, activities.
Where can Customer.io 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 Customer.io?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.