---
title: Personalize Metric Attribution
description: Datadog, the leading service for cloud-scale monitoring.
breadcrumbs: Docs > DDSQL Reference > Data Directory > Personalize Metric Attribution
---

# Personalize Metric Attribution

Personalize Metric Attribution in AWS allows you to track and measure the impact of your recommendations by attributing specific business metrics, such as revenue or conversions, to the recommendations generated by Amazon Personalize. It helps you understand how your personalization models influence user behavior and business outcomes.

```
aws.personalize_metric_attribution
```

## Fields

| Title                  | ID   | Type       | Data Type                                                          | Description |
| ---------------------- | ---- | ---------- | ------------------------------------------------------------------ | ----------- |
| _key                   | core | string     |
| account_id             | core | string     |
| creation_date_time     | core | timestamp  | The metric attribution's creation date time.                       |
| dataset_group_arn      | core | string     | The metric attribution's dataset group Amazon Resource Name (ARN). |
| failure_reason         | core | string     | The metric attribution's failure reason.                           |
| last_updated_date_time | core | timestamp  | The metric attribution's last updated date time.                   |
| metric_attribution_arn | core | string     | The metric attribution's Amazon Resource Name (ARN).               |
| metrics_output_config  | core | json       | The metric attribution's output configuration.                     |
| name                   | core | string     | The metric attribution's name.                                     |
| status                 | core | string     | The metric attribution's status.                                   |
| tags                   | core | hstore_csv |