---
schema_version: "1"
id: cfc694eac9f0bc2955ef440ec195be8283c8da024f5c737c825d7377459633a4
title: Setting Up a Custom Connector
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/mktg/264-0-0/mc_mi_pipelines_custom_api_connectors.md
canonical_url: https://help.salesforce.com/s/articleView?id=mktg.mc_mi_pipelines_custom_api_connectors.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 65473aab9f8855de8540ae4f44f6143da5240d97ee615384fd980f0b303cf7fa
description: Use Marketing Intelligence's prebuilt API connectors to connect to paid media and analytics platforms and automatically generate the data pipelines you need.
products:
  - Marketing
  - Marketing Cloud Intelligence
  - Marketing Cloud Next
release: "264"
---
# Setting Up a Custom Connector

Use Marketing Intelligence's prebuilt API connectors to connect to paid media and analytics platforms and automatically generate the data pipelines you need.

**Before You Start**

Review connector-specific documentation for API limits, field compatibility, and historical data availability.

1. From the app launcher, find and select Marketing Intelligence.
2. On the **Data Pipeline** tab, click **New Pipeline**.
3. On the **Custom** tab, select a connector and then click **Next**.
4. Select a connection and click **Next**.
    
    If you don't have a connection create a new connection.
    
    1. Click **New Connection**.
    2. Enter a connection name.
    3. Select a named credential.
    4. If your named credential isn't authenticated, click **Authenticate** and complete the authentication process.
    5. To add a new named credential, click **\+ New Named Credential**, and complete the connection process with the provider.
    6. Enter the remaining required fields. Required fields vary by provider.
5. Select a data space.
6. Select the data object and fields.
    
    Only one data object can be selected per connection. To customize data fields and refine segmentation, select the **Extended Attributes** tab.
7. To schedule when the pipeline runs, select the **Run Schedule** tab and set the start date.
8. Set the span days and the sliding window.
    
    - **Span Days** — The maximum number of days a single processing statistic can cover. For example, a 30-day retrieval with a 10-day span creates 3 statistics.
    - **Sliding Window** — The number of days to retrieve for a scheduled run, ending with yesterday's data.
9. Click **Next** and map the fields.
10. Customize your mapping.
    
    Add a new data object by clicking **\+ New Object**. Enter a name and description, and then click **Add**. The object is created with three default fields: ID, Currency, and Name. Map the fields as needed.
    
    To add additional fields to the data object, click the **+** icon next to the object. Enter a field name and description, select a data type and then click **Add**. The field is added to the object and is available for mapping.
    
    The source and target data types must match to complete the mapping.
11. To validate the mappings, click **Validate** and address any errors.
12. Click **Save and Deploy**, review the mappings and then click **Deploy**.

After setup, the stream ingests data into Data Cloud. Data Cloud maps the data to the Marketing Intelligence Semantic Data Model and makes it available for analysis, dashboards, and AI-powered insights.