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…
Skill by KUNDURUHIMANEESHREDDY
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About
Use cases: backend, data, marketing
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What's inside
- Skill 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).
- License
- MIT
- Metadata
- version: 1.1 · category: GoogleAds
- Instructions
- 182 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- create-audience.md · references/
- formatting.md · references/
SKILL.md (first lines)
# 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](references/create-audience.md) 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](https://developers.google.com/data-manager/api/devguides/audiences/google-ads/customer-match/upload-data.md.txt) | [Remove All/Replace All](https://developers.google.com/data-manager/api/devguides/audiences/google-ads/customer-match/remove-all-members.md.txt) |
| **Display & Video 360** (DV360) | Customer Match | `composite_data.user_data` (contact info), `mobile_data` (device IDs) | [Upload Data](https://developers.google.com/data-manager/api/devguides/audiences/display-video/customer-match/upload-data.md.txt) | [Remove All/Replace All](https://developers.google.com/data-manager/api/devguides/audiences/display-video/customer-match/remove-all-members.md.txt) |
### 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`](https://github.com/googleads/data-manager-python/blob/main/samples/audiences/ingest_audience_members.py) |
| **Java** | [`IngestAudienceMembers.java`](https://github.com/googleads/data-manager-java/blob/main/data-manager-samples/src/main/java/com/google/ads/datamanager/samples/IngestAudienceMembers.java) |
| **PHP** | [`ingest_audience_members.php`](https://github.com/googleads/data-manager-php/blob/main/samples/audiences/ingest_audience_members.php) |
| **Node** | [`ingest_audience_members.ts`](https://github.com/googleads/data-manager-node/blob/main/samples/audiences/ingest_audience_members.ts) |
| **.NET**| [`IngestAudienceMembers.cs`](https://github.com/googleads/data-manager-dotnet/blob/main/samples/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](https://developers.google.com/data-manager/api/devguides/audiences/google-ads/customer-match/upgrade/field-mappings.md.txt)
#### Display & Video 360
* **Display & Video 360 API Customer Match**: [Display & Video 360 API to
Customer Match Migration Field
Mappings](https://developers.google.com/data-manager/api/devguides/audiences/display-video/customer-match/upgrade/field-mappings.md.txt)
### 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](https://developers.google.com/data-manager/api/devguides/concepts/destinations.md.txt)
guide for more details on configuring destinations.
- [ ] **Format User Data**: If sending an `IngestAudienceMembersRequest` or
`RemoveAudienceMembersRequest`, refer to **[Formatting User
Data](references/formatting.md)** 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`.From KUNDURUHIMANEESHREDDY/dataos, MIT.
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Signals
- Stars
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- Forks
- 0
- Open issues
- 3
- Last commit (this folder)
- Aug 23, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.1
- License
- MIT
- Repository
- github.com/KUNDURUHIMANEESHREDDY/dataos
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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data-manager-api-audience-ingestion skill. Agent Mart. https://agentmart.dev/skills/kunduruhimaneeshreddy-data-manager-api-audience-ingestion (last updated 2026-10-24)