The Advertiser Metrics report provides campaign-level performance data for retail ads. It includes cost model details and key efficiency metrics like CPC and CPM, helping you evaluate campaign performance and optimize budget allocation across campaigns and ad groups.

¶ Report Details

Report Type ID: GR_ADVERTISER_METRICS

Filters:

• ad_account_id: Ad account identifier
• campaign_id: Campaign identifier
• ad_group_id: Ad group identifier

Dimensions:

• ad_account_id: Ad account identifier
• campaign_id: Campaign identifier
• ad_group_id: Ad group identifier
• currency_code: Currency code
• ad_campaign_cost_model: Campaign cost model (e.g., CPC or CPM)
• ad_group_cost_model: Ad group cost model (e.g., CPC or CPM)

Supported Time Units: DAILY, SUMMARY

Lookback Limit: 180 days

¶ Available Metrics

¶ Time Range Configuration

Daily and Summary Reports

• Start Date: Any valid date
• End Date: Any valid date after start date
• Example: "start_time": "2026-07-01T00:00:00Z", "end_time": "2026-07-31T00:00:00Z"

¶ Filter Operators

Supported operators: EQUAL, NOT_EQUAL, IN

¶ Example Request

curl -X POST "https://api.uber.com/v1/ads/{account_id}/reporting/report" \
  -H "Authorization: Bearer {ACCESS_TOKEN}" \
  -H "Accept: application/json" \
  -d '{
    "report_type": "GR_ADVERTISER_METRICS",
    "time_range": {
      "start_time": "2026-07-01T00:00:00Z",
      "end_time": "2026-07-31T00:00:00Z"
    },
    "columns": [
      "ad_account_id",
      "campaign_id",
      "ad_group_id",
      "currency_code",
      "ad_campaign_cost_model",
      "ad_group_cost_model",
      "impressions",
      "clicks",
      "ad_spend",
      "orders_14d",
      "sales_14d",
      "roas_14d",
      "avg_cost_per_click",
      "avg_cost_per_mille",
      "click_through_rate",
      "cost_per_order_14d",
      "conversion_rate_14d"
    ],
    "time_unit": "DAILY",
    "file_format": "CSV"
  }'

¶ Example Response

{
  "report_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890"
}