Attributed Transactions Report

This endpoint enables Retail Media DSP partners to retrieve a transaction-level log of every purchase event attributed to their campaigns. Each row represents a single attributed transaction and captures the product advertised, the product purchased, the attribution rule applied, and the time elapsed between ad delivery and purchase.

This is not a performance report. Aggregated metrics — impressions, clicks, spend, attributed sales totals — are not available here. Use POST /reports/performance for those.

Primary audience: Data scientists and analysts auditing attribution methodology, understanding cross-sell and halo effects, or analyzing purchase behavior at the transaction level. Not a day-to-day campaign monitoring workflow. The endpoint supports asynchronous report generation. Submit a request, poll for status, and download the output when ready.

Request

POST /2026-07/retail-media/reports/attributed-transactions

Rate limits

Calls to this endpoint count against the reporting rate limit, which depends on the OAuth method your application uses.

OAuth method	Rate limit
Client Credentials	40 calls per minute
Authorization Code	10 calls per minute per account

See Rate Limits for the full policy and how to handle 429 responses.

Required fields

startDate, endDate, filters, dimensions, and metrics are all required. filters must contain exactly one scope filter (filters.accountIds[], filters.campaignIds[], or filters.lineItemIds[]).

Field	Type	Description
`startDate`	string	Start of the reporting period. ISO 8601 date (`YYYY-MM-DD`). Based on ad delivery date (`advertisedDate`).
`endDate`	string	End of the reporting period. ISO 8601 date (`YYYY-MM-DD`). Must be ≥ `startDate`.
`filters`	object	Required. Must contain exactly one of the scope filters below.
`filters.accountIds[]`	array of strings	Scope to all line items under this account. Up to 5 IDs. Mutually exclusive with `campaignIds` and `lineItemIds`.
`filters.campaignIds[]`	array of strings	Scope to all line items under this campaign. Up to 100 IDs. Mutually exclusive with `accountIds` and `lineItemIds`.
`filters.lineItemIds[]`	array of strings	Scope to this line item. Up to 100 IDs. Mutually exclusive with `accountIds` and `campaignIds`.
`dimensions`	array of strings	Output columns to return. See Dimensions below.
`metrics`	array of strings	Measure columns to return. See Metrics below.

Optional fields

Field	Type	Default	Description
`timezone`	string	`UTC`	Timezone for date fields. IANA format (e.g. `America/New_York`).
`format`	string	`json-compact`	Output format: `json`, `json-compact`, `json-newline`, or `csv`.
`clickAttributionWindow`	string	—	Attribution window for click-based conversions: `none`, `7D`, `14D`, or `30D`.
`viewAttributionWindow`	string	—	Attribution window for view-based conversions: `none`, `1D`, `7D`, `14D`, or `30D`.
`clickMatchLevel`	string	—	Match level for click attribution: `sameSku`, `sameCategory`, `sameBrand`, or `campaign`.
`viewMatchLevel`	string	—	Match level for view attribution: `sameSku`, `sameCategory`, `sameBrand`, or `campaign`.
`filters.mediaTypes[]`	array of strings	—	Filter by media type.

Example request

POST /2026-07/retail-media/reports/attributed-transactions
Authorization: Bearer {token}
Content-Type: application/json

{
  "data": {
    "type": "AsyncAttributedTransactionsReport",
    "attributes": {
      "startDate": "2026-05-01",
      "endDate": "2026-05-07",
      "filters": {
        "campaignIds": ["301234567890123456"]
      },
      "dimensions": ["advertisedDate", "advertisedProductName", "purchasedProductName", "advertisedToPurchasedProductRelationship"],
      "metrics": ["attributedSales", "attributedUnits"]
    }
  }
}

Response

A successful request returns 200 OK with a reportId:

{
  "data": {
    "type": "StatusResponse",
    "id": "345a530c-923a-4571-b4c9-18e7e3e0f3ca",
    "attributes": {
      "status": "pending",
      "rowCount": 0,
      "fileSizeBytes": 0,
      "md5CheckSum": null,
      "createdAt": "2026-07-28T13:37:26.000Z",
      "expiresAt": null,
      "message": null,
      "id": "345a530c-923a-4571-b4c9-18e7e3e0f3ca"
    }
  }
}

Poll for status until status is success or failure:

GET /2026-07/retail-media/reports/{reportId}/status
Authorization: Bearer {token}

{
  "data": {
    "type": "StatusResponse",
    "id": "345a530c-923a-4571-b4c9-18e7e3e0f3ca",
    "attributes": {
      "status": "success",
      "rowCount": 1221,
      "fileSizeBytes": 329013,
      "md5CheckSum": "25406ca38f9e9b7c9dde2136ec0a5739",
      "createdAt": "2026-07-28T13:37:26.000Z",
      "expiresAt": "2026-08-04T13:37:27.000Z",
      "message": "rows_count=1221",
      "id": "345a530c-923a-4571-b4c9-18e7e3e0f3ca"
    }
  }
}

Download the output when status is success:

GET /2026-07/retail-media/reports/{reportId}/output
Authorization: Bearer {token}

Output (first 5 of 1,221 rows):

{
  "columns": ["advertisedDate", "advertisedProductName", "purchasedProductName", "advertisedToPurchasedProductRelationship", "attributedSales", "attributedUnits"],
  "data": [
    ["2026-04-17", "Brand X 36-in French Door Refrigerator - Stainless Steel", "Brand X Front Load Washer - Matte Black", "same brand", 879.99, 1],
    ["2026-04-17", "Brand X 36-in French Door Refrigerator - Stainless Steel", "Brand X Electric Dryer - Matte Black", "same brand", 879.99, 1],
    ["2026-04-17", "Brand X Front Load Washer & Dryer WashTower - Graphite Steel", "Brand X Laundry Pedestal with Storage Drawer - White", "same brand", 539.98, 2],
    ["2026-04-17", "Brand X Front Load Washer & Dryer WashTower - Graphite Steel", "Brand X Stackable Front Load Washer - White", "same category", 829.99, 1],
    ["2026-04-17", "Brand X Front Load Washer & Dryer WashTower - Graphite Steel", "Brand X Gas Dryer with Wrinkle Care - White", "same brand", 929.99, 1]
  ],
  "rows": 1221
}

advertisedDate reflects when the ad engagement (impression or click) happened, not when the purchase occurred. Because attribution can span several days (per your clickAttributionWindow / viewAttributionWindow), advertisedDate values in the output can fall outside the requested startDate/endDate range — the date range filters on the transaction date, not advertisedDate.

Each row in the report output represents one attributed purchase event.

Response Codes

For the full list of status and error codes for this endpoint — including 404 (report not found) and 410 (report expired) — see Response Codes in the Overview.

Metrics

Select measures using the metrics[] array. metrics is required.

Metric	Description
`attributedSales`	Revenue attributed to this transaction in the account’s reporting currency.
`attributedUnits`	Units sold in this attributed transaction.

Dimensions

Select output columns using the dimensions[] array. dimensions is required. The advertised product (advertised*) and purchased product (purchased*) fields together give the bilateral view described below.

Fields marked Retailer catalog only are available only for retailers that provide a product catalog to Criteo. For retailers without a catalog, they are not populated.

Dimension	Description
`advertisedDate`	Date the ad was delivered (`YYYY-MM-DD`).
`advertisedHour`	Hour the ad was delivered (0–23).
`advertisedEngagement`	Type of engagement that triggered attribution: `imp` (impression) or `click`.
`attributionWindow`	Lookback window applied to this transaction. Format: `C{days}V{days}` (e.g. `C14V07`).
`daysDifference`	Days between ad delivery and the attributed purchase.
`advertisedToPurchasedProductRelationship`	Attribution rule that connected the ad to the purchase: `same sku`, `same parent sku`, `same taxonomy`, `same brand`, `same seller`.
`advertisedProductId`	ID of the product that was advertised. References the Catalogs product ID.
`advertisedProductName`	Name of the advertised product.
`advertisedProductCategory`	Category of the advertised product. Standardized categories. Retailer catalog only.
`advertisedProductGtin`	GTIN/EAN/UPC of the advertised product, if available.
`advertisedProductMpn`	Manufacturer Part Number of the advertised product, if available.
`purchasedDate`	Date the attributed purchase occurred.
`purchasedHour`	Hour the attributed purchase occurred (0–23).
`purchasedProductId`	ID of the product that was purchased.
`purchasedProductName`	Name of the purchased product.
`purchasedProductCategory`	Category of the purchased product. Standardized categories. Retailer catalog only.
`purchasedProductGtin`	GTIN/EAN/UPC of the purchased product, if available.
`purchasedProductMpn`	Manufacturer Part Number of the purchased product, if available.
`salesChannel`	Channel through which the purchase was made: `online` or `offline`.
`campaignId`	Campaign ID.
`campaignName`	Campaign name.
`lineItemId`	Line item ID.
`lineItemName`	Line item name.
`retailerId`	Retailer ID where the line item served.
`retailerName`	Retailer name where the line item served.
`pageType`	Type of retailer page where the ad rendered: `home`, `search`, `productDetail`, `category`, `confirmation`, `checkout`, `merchandising`, `deals`.
`keyword`	Keyword on the search page where the ad rendered, if applicable.
`activitySellerId`	ID of the seller responsible for the advertising event.
`activitySellerName`	Name of the seller responsible for the advertising event.
`saleSellerId`	ID of the seller responsible for the sale.
`saleSellerName`	Name of the seller responsible for the sale.

Understanding the advertised vs. purchased product fields

The advertised product (advertisedProduct*) and purchased product (purchasedProduct*) are often the same — but not always. When the attribution rule is same brand, same taxonomy, or same seller, the ad may have driven a purchase of a related product rather than the exact item advertised. Example: An ad for a camping jacket is served. The shopper purchases a different jacket from the same brand. The row will show:

advertisedProductId: the advertised jacket
purchasedProductId: the purchased jacket
advertisedToPurchasedProductRelationship: same brand

This bilateral product structure makes this endpoint useful for cross-sell and halo analysis — you can see exactly which advertised products drove purchases of which other products, and under which attribution rule.

Data Retention

This endpoint supports a lookback window of up to 3 years (36 months). A request with a startDate older than that returns 400 Bad Request — StartDate cannot be older than 3 years. Separately, a single report may span at most 100 days between startDate and endDate, regardless of whether you scope by account, campaign, or line item.

Migrating from `reportType: attributedTransactions`

Replace your existing call on /reports/campaigns or /reports/line-items with a call to this endpoint. Endpoint change:

POST /reports/campaigns   →   POST /reports/attributed-transactions
POST /reports/line-items  →   POST /reports/attributed-transactions

Request shape changes:

Replace the top-level accountId / campaignId / lineItemId fields with a filters object containing accountIds[], campaignIds[], or lineItemIds[] arrays (exactly one scope filter).
Add required dimensions[] and metrics[] arrays to select output columns — the fields listed above are no longer a fixed response schema; you choose which to return.
startDate and endDate are required (date-only YYYY-MM-DD).
Remove reportType: attributedTransactions — it is not accepted on this endpoint.

Field renames: the adv-prefixed fields are now spelled out as advertised* (e.g. advProductId → advertisedProductId, advDate → advertisedDate, advEngagement → advertisedEngagement, advToPurchasedProductRelationship → advertisedToPurchasedProductRelationship). pageTypeName is now pageType.

Introduction

Guides for Retail Media API

Attributed Transactions Report

Request

Rate limits

Required fields

Optional fields

Example request

Response

Response Codes

Metrics

Dimensions

Understanding the advertised vs. purchased product fields

Data Retention

Migrating from `reportType: attributedTransactions`

​Request

​Rate limits

​Required fields

​Optional fields

​Example request

​Response

​Response Codes

​Metrics

​Dimensions

​Understanding the advertised vs. purchased product fields

​Data Retention

​Migrating from reportType: attributedTransactions

Request

Rate limits

Required fields

Optional fields

Example request

Response

Response Codes

Metrics

Dimensions

Understanding the advertised vs. purchased product fields

Data Retention

Migrating from `reportType: attributedTransactions`