Data Manager API Event Ingestion Agent Skill

Data Manager API Event 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.

Step 1: Identify Use Case & Read Documentation

• Determine Destination Account Type: [CRITICAL] If it's not

explicitly stated, STOP and CLARIFY with the user where the data is being

sent (e.g., Google Ads, Floodlight, Google Analytics)

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,

and also determines valid event identifiers and requirements.

• Read Documentation: [CRITICAL] Follow the

Send events guide

to implement the integration, as steps for configuring and sending the

request may vary between destinations.

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_events.py |

| Java | IngestEvents.java |

| PHP | ingest_events.php |

| Node | ingest_events.ts |

| .NET| IngestEvents.cs |

Step 3: Retrieve Migration Guides

> [!CRITICAL]

> 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 Offline Conversions:

Google Ads Offline Conversions Migration Field Mappings

• Google Ads API Store Sales:

Google Ads Store Sales Migration Field Mappings

Google Analytics

• Measurement Protocol (Google Analytics):

Google Analytics Measurement Protocol Migration Field Mappings

Campaign Manager 360 (CM360)

• Campaign Manager 360 API Offline Conversions:

Campaign Manager 360 Offline Conversions 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 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.

• [ ] Prepare Event Data: Use the utility library helpers to format and

normalize user identifiers correctly.

• [ ] Construct Payload: Build the request payload

(IngestEventsRequest) containing the destinations, event records, and

consent permissions.

• [ ] Support Validation: Support sending the validate_only boolean

option on the IngestEventsRequest to allow developers to validate schemas

without actually uploading data.

• [ ] Send Request: Execute ingest_events and record the returned

request ID for logging/troubleshooting.

• [ ] Retrieve Request Status: Check the status of the ingestion request

using diagnostics. Since request processing is asynchronous, a

successful ingestion 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 the

client.retrieve_request_status endpoint using the request_id. Skipping

this step is a common user mistake.

Formatting

• Fetch the Format user data

guide and use that as the source of truth for formatting and

normalization rules.

• Use the utility library to format, hash, and encrypt user data

(emails, phone numbers, addresses).

Python Example:

    from google.ads.datamanager_util import Formatter
    from google.ads.datamanager_util.format import Encoding

    formatter: Formatter = Formatter()

    processed_email: str = formatter.process_email_address(
        email, Encoding.HEX
    )

Critical Gotchas

• Format product_destination_id as a numeric string. It is NOT a resource

name path.

• Format event_timestamp strictly in RFC 3339 format. Use the SDK's typed

timestamp object instead of a raw string where available.

• Nest click identifiers (gclid, gbraid, wbraid) inside the

ad_identifiers block, not directly on the base event payload.

• The enum values for ConsentStatus are CONSENT_GRANTED and

CONSENT_DENIED. Do not use the values GRANTED and DENIED.

• Note that consent can be set globally on the IngestEventsRequest or on

individual Events.

• Verify that UserIdentifier uses email_address and phone_number.

Do not use the Google Ads API fields hashed_email and

hashed_phone_number.

• Ensure the currency field on the event is named currency, not

currency_code.

• Do not call the diagnostics endpoint (retrieve_request_status) if

validate_only is set to true.

Error Handling & Troubleshooting

Inspecting Error Payloads

> [!IMPORTANT]

> Refer to Understand API Errors

> for a detailed guide on how to understand the structure of errors returned by

> the API.

Retrieving Request Status (Diagnostics)

Periodically poll for status using exponential backoff, starting at least

30 minutes after sending the IngestEventsRequest.

• Call client.retrieve_request_status using

RetrieveRequestStatusRequest(request_id=...).

• Loop through request_status_per_destination in the response to inspect

each target's request_status.

• If processing is complete and request_status is SUCCESS,

PARTIAL_SUCCESS, or FAILED, inspect diagnostic values:

• Event Record Counts: Check events_ingestion_status.record_count

(includes both success and failure).

• 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

• REST API Reference
• Diagnostics Guide