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data-manager-api-audience-ingestion

Guides developers through managing (adding, removing, and clearing) audience members for Google products using the Data Manager API and its associated client libraries.

Install / Use

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

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

90/100

Supported Platforms

Universal

Our assessment of data-manager-api-audience-ingestion

data-manager-api-audience-ingestion scores 90/100 on our quality scale, 34th of 105 Customer Support skills we index (top 33%).

Its SKILL.md is 11 KB long, well organised into 14 sections and no code examples: a thorough specification that gives an agent plenty to work with.

With 20,340 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
13/20
Description
15/15
Adoption
18/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 2 days ago, so data-manager-api-audience-ingestion is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

data-manager-api-audience-ingestion compared with similar skills

All 4 of these similar skills score higher than data-manager-api-audience-ingestion; compare them before choosing.

SkillScoreStarsUpdatedFormat
data-manager-api-audience-ingestion (this skill)by google9020.3k2d agoSKILL.md
Agent-Reachby Panniantong10085.4k10d agoCLAUDE.md
headroomby headroomlabs-ai10073.8ktodayCLAUDE.md
Scraplingby D4Vinci10083.7ktodayMCP Server
LocalAIby mudler10049.3ktodayMCP Server

Frequently asked questions

How do I install data-manager-api-audience-ingestion?
Run npx skills add google/skills --skill data-manager-api-audience-ingestion. The install tabs above show the steps for each supported agent.
Which AI agents does data-manager-api-audience-ingestion work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is data-manager-api-audience-ingestion safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is data-manager-api-audience-ingestion still maintained?
The repository was last updated 2 days ago, so data-manager-api-audience-ingestion is actively maintained.

name: data-manager-api-audience-ingestion description: >- 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). metadata: version: "1.1.0" category: GoogleAds

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.

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

Related Skills

View on GitHub
GitHub Stars20.3k
CategoryCustomer
Updated2d ago
Forks1.7k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions