Mailchimp
Guide to integrate your Mailchimp with Sprinkle
Last updated
Guide to integrate your Mailchimp with Sprinkle
Last updated
Before setting up the datasource, learn about datasource concepts
To learn about Connection, refer
Log into Sprinkle application
Navigate to Datasources -> Connections Tab -> New Connection ->
Select Mailchimp
Provide all the mandatory details
Name: Name to identify this connection
Connect to Mailchimp
Test Connection
Create
Navigate to Datasources -> Datasources Tab -> Add ->
Select Mailchimp
Provide the name -> Create
Connection Tab:
From the drop-down, select the name of connection created in STEP-2
Update
Report Type (Required):
Automation:
Sub-Reports: Select from drop-down
Campaigns
Conversations
Landing_Pages
Reports
Sub-Reports: Select from drop-down
Lists
Members
Segments
Destination Schema (Required) : Data warehouse schema where the table will be ingested into
Destination Table name (Required) : It is the table name to be created on the warehouse. If not given, sprinkle will create like ds_<datasourcename>_<tablename>
Create
In the Ingestion Jobs tab:
Trigger the Job, using Run button
To schedule, enable Auto-Run. Change the frequency if needed
All the datasets can have following fields.
To learn about datasource, refer
Datasets Tab: To learn about Dataset, refer . Add Dataset for each report/dataset that you want to integrate, providing following details
Destination Create Table Clause: Provide additional clauses to warehouse-create table queries such as clustering, partitioning, and more, useful for optimizing DML statements. on how to use this field.