Mailchimp to Looker

Automatically Export & Sync Mailchimp Data to Looker

Mailchimp
a black arrow pointing to the right
Looker
Conjuntos de datos completos
No se necesitan instrucciones
Sin código
Sin diagramas de flujo complicados
Sin desencadenantes
Se configura en menos de 3 minutos
Flat pricing starting at $19 /month

Conjuntos de datos

Audiences-All
Audiences+Members-All
Pre-blended combo set MEMBERS
Members by Audience
Filterable
Campaigns
Campaign Reports
Landing Pages

Información adicional

This service is designed to help anyone continuously export (i.e. "sync") bulk data from Mailchimp.

If you only need to export your data one time, check the website of Mailchimp to see if their service offers a one-time export feature natively. Sometimes a Data Source's native export feature may provide not as much data as its API does, in which case Flatly is the solution.

Additional Information

Flatly uses official API channels to provide an integration with Mailchimp.
Mailchimp is software that lets you stay in touch with groups of people via email.
Scopes

Flatly's access to Plaid and Plaid's downstream connected financial institutions is read-only access to text. It is limited to account data (words, numbers, dates). It does not include any money-movement, transfer capabilities or account holder profiles/identities.

Plaid alone interfaces directly with financial institutions, caches data from those institutions on Plaid infrastructure, and then makes the appropriate scoped subset of that data available to partners like Flatly using secure connections called client libraries.

Looker reads tables from Google BigQuery.

Formatos de archivo

NDJSON

Integration Flow

Setup

Step 1

Select Mailchimp from the Data Source dropdown and Looker from the Data Destination dropdown.

Step 2

Authorize Mailchimp with your credentials using the flow.

Step 3

Authorize Looker with your credentials using the flow.

Step 4

Select your Data Set from the 6 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Vídeo tutorial

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