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Data Manager API Audience Ingestion skill

Guides developers through managing (adding, removing, and clearing) audience members for Google products using the Data Manager API and its associated client libraries. Use this skill when the user wants to upload audience members, remove specific users, or clear/replace an entire audience for Customer Match, mobile device ID audiences, or any other audience use case supported by the Data Manager API. Don't use for uploading events or conversions (use the data-manager-api-event-ingestion skill).

$npx skills add google/skills --skill data-manager-api-audience-ingestion
GitHub stars
23,827
Pack installs
1.1M
Alyn Score
81/99
Updated
5 h ago
License
Apache-2.0

Google

Data Manager API Audience Ingestion

Install Data Manager API Audience Ingestion

Pick your agent. Every command is ready to paste.

$npx skills add google/skills --skill data-manager-api-audience-ingestion

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads data-manager-api-audience-ingestion when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the data-manager-api-audience-ingestion skill”. In Codex, type $data-manager-api-audience-ingestion.

The skill itself

SKILL.md

GitHub

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.
Destination Audience Type Accepted Data Types Upload Guide Remove All/Replace All Guide
Google Ads Customer Match composite_data.user_data (contact info), mobile_data (device IDs), user_id_data (user IDs) Upload Data Remove All/Replace All
Display & Video 360 (DV360) Customer Match composite_data.user_data (contact info), mobile_data (device IDs) Upload Data Remove 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:

Language Sample
Python ingest_audience_members.py
Java IngestAudienceMembers.java
PHP ingest_audience_members.php
Node ingest_audience_members.ts
.NET IngestAudienceMembers.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.

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

Tips for Data Manager API Audience Ingestion

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
  • • It is part of a pack with 40 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Data Manager API Audience Ingestion

What does the Data Manager API Audience Ingestion skill do?

Guides developers through managing (adding, removing, and clearing) audience members for Google products using the Data Manager API and its associated client libraries. Use this skill when the user wants to upload audience members, remove specific users, or clear/replace an entire audience for Customer Match, mobile device ID audiences, or any other audience use case supported by the Data Manager API. Don't use for uploading events or conversions (use the data-manager-api-event-ingestion skill).

How do I install Data Manager API Audience Ingestion?

Run "npx skills add google/skills --skill data-manager-api-audience-ingestion" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Data Manager API Audience Ingestion work in Cursor and Codex?

Yes. Data Manager API Audience Ingestion uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Data Manager API Audience Ingestion free?

Data Manager API Audience Ingestion is open source on GitHub under the Apache-2.0 license. It is free to install; check the license before commercial use.

Who made Data Manager API Audience Ingestion?

Data Manager API Audience Ingestion is published by Google in the google/skills repository, together with 39 other skills.

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