
Data Manager API Audience Ingestion
FreeManage audience members for Google products efficiently.
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 source1. Install with the skills CLI
npx skills add google/skills/data-manager-api-audience-ingestion --agent claude-code2. 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 googleData 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-setupskill. - 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_idneeded 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_typefield of theoperating_accountin theDestination. - 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
- Google Ads API Customer Match: Google Ads API to Customer Match Migration Field Mappings
Display & Video 360
- Display & Video 360 API Customer Match: Display & Video 360 API to Customer Match Migration Field Mappings
Step 4: Implementation
Implement the ingestion logic using the following checkpoints:
- Initialize Client: Instantiate the Data Manager client
(
IngestionServiceClient). - Define Destinations: Build the
Destinationobject using theproduct_destination_idand the appropriate account configurations:operating_account(target account receiving data),login_account(if authenticating using a manager account or a data partner account), andlinked_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
IngestAudienceMembersRequestorRemoveAudienceMembersRequest, 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
- Add:
- Support Validation: Support sending the
validate_onlyboolean 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_idfor later diagnostics:- Add:
ingest_audience_members - Remove:
remove_audience_members - Remove All:
remove_all_audience_members
- Add:
- Check for Ingestion Warnings: If any non-required field had a
validation failure, the response from
ingest_audience_memberswill also includefield_warnings, a list ofFieldWarningobjects 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, queryclient.retrieve_request_statususing therequest_id. Skipping this step is a common user mistake.
Critical Gotchas
- If sending hashed user identifiers in
user_dataforingest_audience_membersorremove_audience_members, you must set theencodingfield on theIngestAudienceMembersRequesttoHEXorBASE64. - If uploading to a Customer Match audience, the
terms_of_servicefield is required on theIngestAudienceMembersRequestto indicate the user has accepted the policies. - Only set the
addressfield onUserIdentifierif all required fields (postal_code,family_name,given_name,region_code) are present; incompleteaddressfields will cause the API request to fail. product_destination_idmust be a numeric string. It is NOT a resource name.- The enum values for
ConsentStatusareCONSENT_GRANTEDandCONSENT_DENIED. Do not use the valuesGRANTEDandDENIED. - Field names on
UserIdentifierareemail_addressandphone_number. Do not use the Google Ads API field nameshashed_emailandhashed_phone_number. - Do not call the diagnostics endpoint (
retrieve_request_status) ifvalidate_onlyis set totrue.
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.
- Call
client.retrieve_request_statususingRetrieveRequestStatusRequest(request_id=...). - Loop through
request_status_per_destinationin the response to inspect each target'srequest_status. - If processing is complete and
request_statusisSUCCESS,PARTIAL_SUCCESS, orFAILED, 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_countsif uploading or removing composite data, ormobile_id_countif uploading or removing mobile IDs). Refer to the Diagnostics Guide for other count fields. - Match Rate Range: For uploads of
user_dataandcomposite_data, checkupload_match_rate_rangenested inside the status object.
- Ingest: Check the data-type-specific status nested under
- Error Details: If status is
FAILEDorPARTIAL_SUCCESS, inspect each error'sreasonandrecord_countundererror_info.error_counts. - Warning Details: Inspect each warning's
reasonandrecord_countunderwarning_info.warning_counts(even if the destination status isSUCCESS).
- Audience Status: Check the status specific to your request:
API Reference
Frequently asked questions about Data Manager API Audience Ingestion
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