Smaily
Business software
Sync Smaily subscriber, campaign, template, and report data into your warehouse. Ingest builds this connector the first time a customer asks for it, then keeps the tables current in a data warehouse you own, on the schedule you choose.
The Smaily connector syncs your email marketing data into analytics-ready tables in your data warehouse. Pull subscribers, campaigns, templates, and reports from the Smaily API, with Ingest handling auth, pagination, and retries so the tables stay current.
What you would get
Each of these arrives as its own table, kept current on the schedule you choose:
- Subscribers
- Campaigns
- Templates
- Reports
How it gets built
- Choose Smaily when you set up a pipeline, with the warehouse it goes to and a schedule.
- Ingest reads Smaily's documentation, and you choose the tables you want.
- Ingest builds the connector and tests it against Smaily itself.
- A person at Ingest reviews and publishes it, and your pipeline starts on its own.
What you will need
API user (username + password pair). Create one under Account name > Preferences > Integrations > API Passwords > "Create a new user"; the password is shown only once.
You enter it once, in a form in Ingest, and it is kept in a secret store set aside for your organization.
Questions
- Does Ingest have a Smaily connector?
- Not as a finished connector yet. Ingest builds it from Smaily's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
- Which warehouses can Smaily data go to?
- Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL and Snowflake, in an account you own.
- Do I need to write code?
- No. Ingest builds, runs and maintains the connector. Someone with access to your warehouse connects it once, following a short guide.
Smaily API documentation: https://smaily.com/help/api/
Where this would land, and what else connects
Setting up the destination is its own short guide, one per warehouse or lake: Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL, Snowflake.
Other sources Ingest connects for SaaS teams: Asana, Jira, Airtable, Clockify, Facebook Ads, Frankfurter.