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Data Manager API Audience Ingestion

Free

Manage audience members for Google products efficiently.

by google17.6k stars on google/skills
Updated Aug 10, 2026
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Free · Opens the source repo

What Data Manager API Audience Ingestion does

The Data Manager API Audience Ingestion skill provides developers with a structured approach to manage audience members for various Google products. This skill is particularly useful for tasks such as uploading new audience members, removing specific users, or clearing entire audiences for Customer Match, mobile device ID audiences, and other supported use cases. It serves as a guide for developers to navigate the complexities of the Data Manager API, ensuring that they can effectively manage audience data without unnecessary errors.

To get started, users must first ensure they have the necessary authentication and library installations in place. The skill emphasizes the importance of understanding the destination account type before proceeding with any data operations. This is critical because different Google products may require unique payload structures and consent rules. The skill also provides links to relevant documentation, including guides for uploading and removing audience data for Google Ads and Display & Video 360, ensuring that users have access to the most accurate information.

Developers can retrieve code samples in multiple programming languages, including Python, Java, PHP, Node.js, and .NET, which serve as valuable references when implementing audience ingestion logic. The skill outlines a clear implementation workflow, including steps for initializing the client, defining destinations, formatting user data, and constructing the appropriate payloads for various operations. Additionally, it includes checkpoints for validating schemas and checking for ingestion warnings, which can help developers troubleshoot issues quickly.

This skill is ideal for developers involved in digital marketing or data management who need to integrate audience management capabilities into their applications. By following the structured guidance provided, they can streamline their audience data operations and ensure compliance with Google’s requirements.

When to use it

Use this skill when you need to add, remove, or clear audience members for Google products via the Data Manager API.

When not to use it

This skill is not suitable for uploading events or conversions; for that, use the data-manager-api-event-ingestion skill instead.

What you can build with it

Upload Audience Members

Use the skill to efficiently upload new audience members to Google Ads or Display & Video 360.

Remove Specific Users

Quickly remove specific audience members from your campaigns using the Data Manager API.

Clear Entire Audience

Easily clear or replace an entire audience for Customer Match or mobile device ID audiences.

How to install Data Manager API Audience Ingestion

View source

1. Install with the skills CLI

npx skills add google/skills/data-manager-api-audience-ingestion --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by google

Data Manager API Audience Ingestion

Implementation Workflow

Prerequisites

  • Authentication & Library Installation: If you need to set up access to the Data Manager API or install the client and utility libraries, refer to the data-manager-api-setup skill.
  • Audience Creation (if needed): If the user does not have an existing audience or needs to create a new one, use the Create an Audience reference. This step provides the product_destination_id needed for the ingestion or removal requests.

Step 1: Identify Use Case & Read Documentation

  • Determine Destination Account Type: [CRITICAL] If it's not clear where the data is being sent (e.g., Google Ads, Display & Video 360, etc.), STOP and CLARIFY with the user BEFORE generating any code. Do not assume Google Ads by default. This maps to the account_type field of the operating_account in the Destination.
  • Read the implementation guide: Read the relevant guide for your destination and use case. Do this before answering questions or writing code because each destination has unique payload structures, consent rules, and required fields.
DestinationAudience TypeAccepted Data TypesUpload GuideRemove All/Replace All Guide
Google AdsCustomer Matchcomposite_data.user_data (contact info), mobile_data (device IDs), user_id_data (user IDs)Upload DataRemove All/Replace All
Display & Video 360 (DV360)Customer Matchcomposite_data.user_data (contact info), mobile_data (device IDs)Upload DataRemove All/Replace All

Step 2: Retrieve Code Sample

[!IMPORTANT] If writing or updating an ingestion script, ALWAYS retrieve the relevant code sample to use as a reference:

LanguageSample
Pythoningest_audience_members.py
JavaIngestAudienceMembers.java
PHPingest_audience_members.php
Nodeingest_audience_members.ts
.NETIngestAudienceMembers.cs

Step 3: Retrieve Migration Guides

[!IMPORTANT] If refactoring code to upgrade from another Google API, ALWAYS extract the full contents of the relevant field mapping guide.

Google Ads

Display & Video 360

Step 4: Implementation

Implement the ingestion logic using the following checkpoints:

  • Initialize Client: Instantiate the Data Manager client (IngestionServiceClient).
  • Define Destinations: Build the Destination object using the product_destination_id and the appropriate account configurations: operating_account (target account receiving data), login_account (if authenticating using a manager account or a data partner account), and linked_account (if you're a data partner accessing the account via a partner link to a manager account). STRONGLY RECOMMENDED: Refer to the Configure destinations and headers guide for more details on configuring destinations.
  • Format User Data: If sending an IngestAudienceMembersRequest or RemoveAudienceMembersRequest, refer to Formatting User Data to properly normalize and hash user identifiers using the utility library.
  • Construct Payload: Build the appropriate request payload based on the operation:
    • Add: IngestAudienceMembersRequest
    • Remove: RemoveAudienceMembersRequest
    • Remove All: RemoveAllAudienceMembersRequest
  • Support Validation: Support sending the validate_only boolean option on the payload to allow developers to validate schemas without actually applying changes.
  • Send Request: Execute the appropriate method and record the returned request_id for later diagnostics:
    • Add: ingest_audience_members
    • Remove: remove_audience_members
    • Remove All: remove_all_audience_members
  • Check for Ingestion Warnings: If any non-required field had a validation failure, the response from ingest_audience_members will also include field_warnings, a list of FieldWarning objects detailing the issues.
  • Retrieve Request Status: Check the status of the ingestion request using diagnostics. Since request processing is asynchronous, a successful response (HTTP 200 OK returning a request_id) only indicates the payload was received. To check if the records actually succeeded, partially succeeded, or failed to process, query client.retrieve_request_status using the request_id. Skipping this step is a common user mistake.

Critical Gotchas

  • If sending hashed user identifiers in user_data for ingest_audience_members or remove_audience_members, you must set the encoding field on the IngestAudienceMembersRequest to HEX or BASE64.
  • If uploading to a Customer Match audience, the terms_of_service field is required on the IngestAudienceMembersRequest to indicate the user has accepted the policies.
  • Only set the address field on UserIdentifier if all required fields (postal_code, family_name, given_name, region_code) are present; incomplete address fields will cause the API request to fail.
  • product_destination_id must be a numeric string. It is NOT a resource name.
  • The enum values for ConsentStatus are CONSENT_GRANTED and CONSENT_DENIED. Do not use the values GRANTED and DENIED.
  • Field names on UserIdentifier are email_address and phone_number. Do not use the Google Ads API field names hashed_email and hashed_phone_number.
  • Do not call the diagnostics endpoint (retrieve_request_status) if validate_only is set to true.

Error Handling & Troubleshooting

Inspecting Error Payloads & Ingestion Warnings

[!IMPORTANT] Refer to Understand API Errors for a detailed guide on how to understand the structure of errors and warnings returned by the API.

Retrieving Request Status (Diagnostics)

Periodically poll for status using exponential backoff, starting at least 30 minutes after sending the request.

  1. Call client.retrieve_request_status using RetrieveRequestStatusRequest(request_id=...).
  2. Loop through request_status_per_destination in the response to inspect each target's request_status.
  3. If processing is complete and request_status is SUCCESS, PARTIAL_SUCCESS, or FAILED, inspect diagnostic values:
    • Audience Status: Check the status specific to your request:
      • Ingest: Check the data-type-specific status nested under audience_members_ingestion_status (e.g., composite_data_ingestion_status).
      • Remove Individual Members: Check the data-type-specific status nested under audience_members_removal_status (e.g., composite_data_removal_status).
      • Remove All Members: There are no nested status fields or record counts available to check for this request type.
      • Record Count: If applicable (ingest or remove individual members), check record_count (nested inside the data-type-specific status object) which includes both success and failure.
      • Identifier Counts: If applicable (ingest or remove individual members), check the data-type-specific count field nested inside the status object (e.g., data_type_counts if uploading or removing composite data, or mobile_id_count if uploading or removing mobile IDs). Refer to the Diagnostics Guide for other count fields.
      • Match Rate Range: For uploads of user_data and composite_data, check upload_match_rate_range nested inside the status object.
    • Error Details: If status is FAILED or PARTIAL_SUCCESS, inspect each error's reason and record_count under error_info.error_counts.
    • Warning Details: Inspect each warning's reason and record_count under warning_info.warning_counts (even if the destination status is SUCCESS).

API Reference

Frequently asked questions about Data Manager API Audience Ingestion

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