---
schema_version: "1"
id: b15515f91c32a4214e8d1752a75bc666bfd23ba86bde7635b97c5870479231f6
title: Spotify Ads API Connector
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/mktg/264-0-0/mcidp_data_streams_api_connect_spotify.md
canonical_url: https://help.salesforce.com/s/articleView?id=mktg.mcidp_data_streams_api_connect_spotify.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 99ec1e2250771a6e05be240e4454649b6b4c34a724b2a0829aaa2e898f6e28e3
description: Spotify Ad Studio is an ad server that provides tools for advertisers to create campaigns and track them in Spotify, a digital music service. Through Spotify's integration with Marketing Cloud Intelligence Data Pipelines, you can access your Ad Studio campaign data within Intelligence Data Pipelines's platform
products:
  - Marketing
  - Marketing Cloud Intelligence
release: "264"
---
# Spotify Ads API Connector

Spotify Ad Studio is an ad server that provides tools for advertisers to create campaigns and track them in Spotify, a digital music service. Through Spotify's integration with Marketing Cloud Intelligence Data Pipelines, you can access your Ad Studio campaign data within Intelligence Data Pipelines's platform

- **Channel**: Display
- **Data Stream Type**: Ads, Conversion Tag
- **Data Lagging**: 1 day

## Prerequisites

To connect to the Spotify Ads API, you need a valid Username and Password.

## Details

- When setting the end time for a report, the data includes the following hour (For example, a report with an end time of 23:00 will include data through 23:59)

## General Setup

After entering your credentials, select the relevant profile you want to retrieve data for.

## Extended Properties

- Get Conversions - Select this checkbox to retrieve Conversion data in addition to the Delivery data retrieved by the API by default.

## How to QA Your Data

- Create the desired report in the Spotify Ad Studio platform for the required date range.
- Next, process the relevant Data Stream in Marketing Cloud Intelligence Data Pipelines for the same date range.
- Create a Report/Pivot Table within Marketing Cloud Intelligence Data Pipelines containing the exact same Dimensions and Measurements for the same report and date range.
- Compare the Measurement Totals and make sure they’re aligned.