Preview sample status endpoint (Profile preview)

Adobe Experience Platform enables you to ingest customer data from multiple sources in order to build a robust, unified profile for each of your individual customers. As data is ingested into Platform, a sample job is run to update the profile count and other Real-Time Customer Profile data-related metrics.

The results of this sample job can be viewed using the /previewsamplestatus endpoint, part of the Real-Time Customer Profile API. This endpoint can also be used to list profile distributions by both dataset and identity namespace, as well as to generate multiple reports in order to gain visibility into the composition of your organization’s Profile store. This guide walks through the steps required to view these metrics using the /previewsamplestatus API endpoint.

Getting started

The API endpoint used in this guide is part of the Real-Time Customer Profile API. Before continuing, please review the getting started guide for links to related documentation, a guide to reading the sample API calls in this document, and important information regarding required headers that are needed to successfully make calls to any Experience Platform API.

Profile fragments vs merged profiles

This guide references both “profile fragments” and “merged profiles”. It is important to understand the difference between these terms before proceeding.

Each individual customer profile is composed of multiple profile fragments that have been merged to form a single view of that customer. For example, if a customer interacts with your brand across several channels, your organization likely has multiple profile fragments related to that single customer appearing in multiple datasets.

When profile fragments are ingested into Platform, they are merged together (based on a merge policy) in order to create a single profile for that customer. Therefore, the total number of profile fragments is likely to always be higher than the total number of merged profiles, as each profile is composed of multiple fragments.

To learn more about profiles and their role within Experience Platform, please begin by reading the Real-Time Customer Profile overview.

How the sample job is triggered

As data enabled for Real-Time Customer Profile is ingested into Platform, it is stored within the Profile data store. When the ingestion of records into the Profile store increases or decreases the total profile count by more than 5%, a sampling job is triggered to update the count. The way in which the sample is triggered depends on the type of ingestion being used:

The profile count and profiles by namespace metrics are also available within the Profiles section of the Experience Platform UI. For information on how to access Profile data using the UI, please visit the Profile UI guide.

View last sample status view-last-sample-status

You can perform a GET request to the /previewsamplestatus endpoint to view the details for the last successful sample job that was run for your organization. This includes the total number of profiles in the sample, as well as the profile count metric, or total number of profiles your organization has within Experience Platform.

The profile count is generated after merging together profile fragments to form a single profile for each individual customer. In other words, when profile fragments are merged together they return a count of “1” profile because they are all related to the same individual.

The profile count also includes both profiles with attributes (record data) as well as profiles containing only time series (event) data, such as Adobe Analytics profiles. The sample job is refreshed regularly as Profile data is ingested in order to provide an up-to-date total number of profiles within Platform.

API format

GET /previewsamplestatus

Request

curl -X GET \
  https://platform.adobe.io/data/core/ups/previewsamplestatus \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \
  -H 'x-sandbox-name: {SANDBOX_NAME}' \

Response

The response includes the details for the last successful sample job that was run for the organization.

{
  "numRowsToRead": "41003",
  "sampleJobRunning": {
    "status": true,
    "submissionTimestamp": "2020-08-01 17:57:57.0"
  },
  "docCount": "\"300803\"",
  "totalFragmentCount": 47429,
  "lastSuccessfulBatchTimestamp": "\"null\"",
  "streamingDriven": "\"false\"",
  "totalRows": "41003",
  "lastBatchId": "\"null\"",
  "status": "TASK_FINISHED",
  "samplingRatio": 1.0,
  "mergeStrategy": "timestampOrdered_auto",
  "lastSampledTimestamp": "2020-08-01 17:57:57.0"
}

List profile distribution by dataset

To see the distribution of profiles by dataset, you can perform a GET request to the /previewsamplestatus/report/dataset endpoint.

API format

GET /previewsamplestatus/report/dataset
GET /previewsamplestatus/report/dataset?{QUERY_PARAMETERS}

Request

The following request uses the date parameter to return the most recent report for the date specified.

curl -X GET \
  https://platform.adobe.io/data/core/ups/previewsamplestatus/report/dataset?date=2020-08-01 \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \
  -H 'x-sandbox-name: {SANDBOX_NAME}' \

Response

The response includes a data array, containing a list of dataset objects. The response shown has been truncated to show three datasets.

{
  "data": [
    {
      "sampleCount": 12577,
      "samplePercentage": 0.306734,
      "fullIDsCount": 20988,
      "fullIDsPercentage": 0.511865,
      "name": "CRM Profiles",
      "description": "Profiles from the CRM.",
      "value": "5f160106be34361915754b9c",
      "streamingIngestionEnabled": "",
      "createdUser": "{CREATED_USER}",
      "reportTimestamp": "2020-08-01T17:57:58.697",
    },
    {
      "sampleCount": 12938,
      "samplePercentage": 0.315538,
      "fullIDsCount": 21796,
      "fullIDsPercentage": 0.531571,
      "name": "AAM Authenticated Profiles",
      "description": "This data set contains AAM authenticated profiles.",
      "value": "5dc77ec6eed47f18a796ca90",
      "streamingIngestionEnabled": "",
      "createdUser": "{CREATED_USER}",
      "reportTimestamp": "2020-08-01T17:57:58.697"
    },
    {
      "sampleCount": 22725,
      "samplePercentage": 0.554228,
      "fullIDsCount": 41003,
      "fullIDsPercentage": 1.0,
      "name": "Loyalty Program Members",
      "description": "Members of the loyalty program at all levels.",
      "value": "5d0fda92274e55144d4de620",
      "streamingIngestionEnabled": "",
      "createdUser": "{CREATED_USER}",
      "reportTimestamp": "2020-08-01T17:57:58.697"
    }
  ],
  "reportTimestamp": "2020-08-01T17:57:58.697"
}

List profile distribution by identity namespace

You can perform a GET request to the /previewsamplestatus/report/namespace endpoint to view the breakdown by identity namespace across all of the merged profiles in your Profile store. This includes both the standard identities provided by Adobe, as well as the custom identities defined by your organization.

Identity namespaces are an important component of Adobe Experience Platform Identity Service that serve as indicators of the context to which customer data relates. To learn more, begin by reading the identity namespace overview.

API format

GET /previewsamplestatus/report/namespace
GET /previewsamplestatus/report/namespace?{QUERY_PARAMETERS}

Request

The following request does not specify a date parameter and will therefore return the most recent report.

curl -X GET \
  https://platform.adobe.io/data/core/ups/previewsamplestatus/report/namespace \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \
  -H 'x-sandbox-name: {SANDBOX_NAME}' \

Response

The response includes a data array, with individual objects containing the details for each namespace. The response shown has been truncated to show four namespaces.

{
  "data": [
    {
      "sampleCount": 12148,
      "samplePercentage": 0.296271,
      "reportTimestamp": "2020-08-01T17:57:58.697",
      "fullIDsFragmentCount": 13141,
      "fullIDsCount": 12631,
      "fullIDsPercentage": 0.308051,
      "code": "Email",
      "value": "6"
    },
    {
      "sampleCount": 6989,
      "samplePercentage": 0.170451,
      "reportTimestamp": "2020-08-01T17:57:58.697",
      "fullIDsFragmentCount": 7543,
      "fullIDsCount": 7042,
      "fullIDsPercentage": 0.171744,
      "code": "ECID",
      "value": "4"
    },
    {
      "sampleCount": 888,
      "samplePercentage": 0.021657,
      "reportTimestamp": "2020-08-01T17:57:58.697",
      "fullIDsFragmentCount": 3801,
      "fullIDsCount": 3206,
      "fullIDsPercentage": 0.078189,
      "code": "AAID",
      "value": "10"
    },
    {
      "sampleCount": 21809,
      "samplePercentage": 0.531888,
      "reportTimestamp": "2020-08-01T17:57:58.697",
      "fullIDsFragmentCount": 27023,
      "fullIDsCount": 21936,
      "fullIDsPercentage": 0.534985,
      "code": "Phone",
      "value": "7"
    }
  ],
  "reportTimestamp": "2020-08-01T17:57:58.697"
}

Generate the dataset overlap report

The dataset overlap report provides visibility into the composition of your organization’s Profile store by exposing the datasets that contribute most to your addressable audience (merged profiles). In addition to providing insights into your data, this report can help you take actions to optimize license usage, such as setting expirations for certain datasets.

You can generate the dataset overlap report by performing a GET request to the /previewsamplestatus/report/dataset/overlap endpoint.

For step-by-step instructions outlining how to generate the dataset overlap report using the command line or the Postman UI, please refer to the generating the dataset overlap report tutorial.

API format

GET /previewsamplestatus/report/dataset/overlap
GET /previewsamplestatus/report/dataset/overlap?{QUERY_PARAMETERS}

Request

The following request uses the date parameter to return the most recent report for the date specified.

curl -X GET \
  https://platform.adobe.io/data/core/ups/previewsamplestatus/report/dataset/overlap?date=2021-12-29 \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \

Response

A successful request returns HTTP Status 200 (OK) and the dataset overlap report.

{
    "data": {
        "5d92921872831c163452edc8,5da7292579975918a851db57,5eb2cdc6fa3f9a18a7592a98": 123,
        "5d92921872831c163452edc8,5eb2cdc6fa3f9a18a7592a98": 454412,
        "5eeda0032af7bb19162172a7": 107
    },
    "reportTimestamp": "2021-12-29T19:55:31.147"
}

Interpreting the dataset overlap report

The results of the report can be interpreted from the datasets and profile counts in the response. Consider the following example report data object:

  "5d92921872831c163452edc8,5da7292579975918a851db57,5eb2cdc6fa3f9a18a7592a98": 123,
  "5d92921872831c163452edc8,5eb2cdc6fa3f9a18a7592a98": 454412,
  "5eeda0032af7bb19162172a7": 107

This report provides the following information:

Generate the identity namespace overlap report identity-overlap-report

The identity namespace overlap report provides visibility into the composition of your organization’s Profile store by exposing the identity namespaces that contribute most to your addressable audience (merged profiles). This includes both the standard identity namespaces provided by Adobe, as well as the custom identity namespaces defined by your organization.

You can generate the identity namespace overlap report by performing a GET request to the /previewsamplestatus/report/namespace/overlap endpoint.

API format

GET /previewsamplestatus/report/namespace/overlap
GET /previewsamplestatus/report/namespace/overlap?{QUERY_PARAMETERS}

Request

The following request uses the date parameter to return the most recent report for the date specified.

curl -X GET \
  https://platform.adobe.io/data/core/ups/previewsamplestatus/report/namespace/overlap?date=2021-12-29 \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \

Response

A successful request returns HTTP Status 200 (OK) and the identity namespace overlap report.

{
    "data": {
        "Email,crmid,loyal": 2,
        "ECID,Email,crmid": 7,
        "ECID,Email,mobilenr": 12,
        "AAID,ECID,loyal": 1,
        "mobilenr": 25,
        "AAID,ECID": 1508,
        "ECID,crmid": 1,
        "AAID,ECID,crmid": 2,
        "Email,crmid": 328,
        "CORE": 49,
        "AAID": 446,
        "crmid,loyal": 20988,
        "Email": 10904,
        "crmid": 249,
        "ECID,Email": 74,
        "Phone": 40,
        "Email,Phone,loyal": 48,
        "AAID,AVID,ECID": 85,
        "Email,loyal": 1002,
        "AAID,ECID,Email,Phone,crmid": 5,
        "AAID,ECID,Email,crmid,loyal": 23,
        "AAID,AVID,ECID,Email,crmid": 2,
        "AVID": 3,
        "AAID,ECID,Phone": 1,
        "loyal": 43,
        "ECID,Email,crmid,loyal": 6,
        "AAID,ECID,Email,Phone,crmid,loyal": 1,
        "AAID,ECID,Email": 2,
        "AAID,ECID,Email,crmid": 142,
        "AVID,ECID": 24,
        "ECID": 6565
    },
    "reportTimestamp": "2021-12-29T16:55:03.624"
}

Interpreting the identity namespace overlap report

The results of the report can be interpreted from the identities and profile counts in the response. The numerical value of each row tells you how many profiles are composed of that exact combination of standard and custom identity namespaces.

Consider the following excerpt from the data object:

  "AAID,ECID,Email,crmid": 142,
  "AVID,ECID": 24,
  "ECID": 6565

This report provides the following information:

Generate the unstitched profiles report

You can gain further visibility into the composition of your organization’s Profile store through the unstitched profiles report. An “unstitched” profile is a profile that contains only one profile fragment. An “unknown” profile is a profile that is associated with pseudonymous identity namespaces such as ECID and AAID. Unknown profiles are inactive, which means they have not added new events for the specified time period. The unstitched profiles report provides a breakdown of profiles for a period of 7, 30, 60, 90, and 120 days.

You can generate the unstitched profiles report by performing a GET request to the /previewsamplestatus/report/unstitchedProfiles endpoint.

API format

GET /previewsamplestatus/report/unstitchedProfiles

Request

The following request returns the unstitched profiles report.

curl -X GET \
  https://platform.adobe.io/data/core/ups/previewsamplestatus/report/unstitchedProfiles \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \

Response

A successful request returns HTTP Status 200 (OK) and the unstitched profiles report.

{
  "data": {
      "totalNumberOfProfiles": 63606,
      "totalNumberOfEvents": 130977,
      "unstitchedProfiles": {
          "120days": {
              "countOfProfiles": 1644,
              "eventsAssociated": 26824,
              "nsDistribution": {
                  "Email": {
                      "countOfProfiles": 18,
                      "eventsAssociated": 95
                  },
                  "loyal": {
                      "countOfProfiles": 26,
                      "eventsAssociated": 71
                  },
                  "ECID": {
                      "countOfProfiles": 1600,
                      "eventsAssociated": 26658
                  }
              }
          },
          "7days": {
              "countOfProfiles": 1782,
              "eventsAssociated": 29151,
              "nsDistribution": {
                  "Email": {
                      "countOfProfiles": 19,
                      "eventsAssociated": 97
                  },
                  "ECID": {
                      "countOfProfiles": 1734,
                      "eventsAssociated": 28591
                  },
                  "loyal": {
                      "countOfProfiles": 29,
                      "eventsAssociated": 463
                  }
              }
          }
      }
  },
  "reportTimestamp": "2025-08-25T22:14:55.186"
}

Interpreting the unstitched profiles report

The results of the report can provide insight into how many unstitched and inactive profiles your organization has within its Profile store.

Consider the following excerpt from the data object:

  "7days": {
    "countOfProfiles": 1782,
    "eventsAssociated": 29151,
    "nsDistribution": {
      "Email": {
        "countOfProfiles": 19,
        "eventsAssociated": 97
      },
      "ECID": {
        "countOfProfiles": 1734,
        "eventsAssociated": 28591
      },
      "loyal": {
        "countOfProfiles": 29,
        "eventsAssociated": 463
      }
    }
  }

This report provides the following information:

Next steps

Now that you know how to preview sample data in the Profile store and run multiple reports on the data, you can also use the estimate and preview endpoints of the Segmentation Service API to view summary-level information regarding your segment definitions. This information helps to ensure you are isolating your expected audience. To learn more about working with previews and estimates using the Segmentation API, please visit the preview and estimate endpoints guide.