Iterable
Iterable sends email, SMS, push and in-app messages through campaigns and Studio journeys. Its export APIs return user profiles, campaign metrics, lists, catalogs and the event stream of sends, opens, clicks, purchases and custom events. When those events meet order, subscription and support data in the Lake, lifecycle marketers can see which journeys produce lasting value.
- Category
- Marketing Automation
- Type
- Customer engagement
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- API key
02Data
What you can sync.
- Users
- Campaigns
- Campaign metrics
- Lists
- Events
- Catalogs
Tie Iterable users to pipeline and revenue in the Warehouse, and let a Mind report which programs move deals.
Need more? Name any other Iterable data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An API key
Iterable uses an API key. You add the credentials once, when the AI asks for them, and it tells you where to create them in Iterable if you need help.
04Questions
Questions you can answer.
Once Iterable data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- Which journeys produce purchases within seven days, compared with users held out?
- How does unsubscribe rate per channel change as weekly message count rises?
- Which catalog items featured in emails lead to the most purchases?
- Do users who open push messages retain better at day thirty?
- Which campaigns have click rates far below the median for their channel?
05How it works
How it works in DataMind.
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Pick Iterable.
Open Lake, pick Iterable in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Iterable API docs.
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Answer a few questions.
The AI reads the Iterable documentation, then asks which credentials you will use, which data to sync (for example users and campaigns), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Iterable data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Iterable.
Sources teams join with Iterable in the Warehouse, each one connected the same way.
