**End of support notice:** On October 30, 2026, AWS will end support for Amazon Pinpoint. After October 30, 2026, you will no longer be able to access the Amazon Pinpoint console or Amazon Pinpoint resources (endpoints, segments, campaigns, journeys, and analytics). For more information, see [Amazon Pinpoint end of support](https://docs.aws.amazon.com/console/pinpoint/migration-guide). **Note:** APIs related to SMS, voice, mobile push, OTP, and phone number validate are not impacted by this change and are supported by AWS End User Messaging. # Query Amazon Pinpoint data for transactional email messages To query the data for transactional email messages that were sent for a project, you use the [Application Metrics](https://docs.aws.amazon.com/pinpoint/latest/apireference/apps-application-id-kpis-daterange-kpi-name.html) API and specify values for the following required parameters: + **application-id** – The project ID, which is the unique identifier for the project. In Amazon Pinpoint, the terms *project* and *application* have the same meaning. + **kpi-name** – The name of the metric to query. This value describes the associated metric and consists of two or more terms, which are comprised of lowercase alphanumeric characters, separated by a hyphen. For a complete list of supported metrics and the `kpi-name` value for each one, see [Standard metrics for projects, campaigns, and journeys](analytics-standard-metrics.md). You can also apply a filter that queries the data for a specific date range. If you don’t specify a date range, Amazon Pinpoint returns the data for the preceding 31 calendar days. To filter the data by different dates, use the supported date range parameters to specify the first and last date and time of the date range. The values should be in extended ISO 8601 format and use Coordinated Universal Time (UTC)—for example, `2019-09-06T20:00:00Z` for 8:00 PM UTC September 6, 2019. Date ranges are inclusive and must be limited to 31 or fewer calendar days. In addition, the first date and time must be fewer than 90 days from the current day. The following examples show how to query analytics data for transactional email messages by using the Amazon Pinpoint REST API, the AWS CLI, and the AWS SDK for Java. You can use any supported AWS SDK to query analytics data for transactional messages. The AWS CLI examples are formatted for Microsoft Windows. For Unix, Linux, and macOS, replace the caret (^) line-continuation character with a backslash (\\). ------ #### [ REST API ] To query analytics data for transactional email messages by using the Amazon Pinpoint REST API, send an HTTP(S) GET request to the [Application Metrics](https://docs.aws.amazon.com/pinpoint/latest/apireference/apps-application-id-kpis-daterange-kpi-name.html) URI. In the URI, specify the appropriate values for the required path parameters: ``` https://{{endpoint}}/v1/apps/{{application-id}}/kpis/daterange/{{kpi-name}} ``` Where: + {{endpoint}} is the Amazon Pinpoint endpoint for the AWS Region that hosts the project. + {{application-id}} is the unique identifier for the project. + {{kpi-name}} is the `kpi-name` value for the metric to query. All the parameters should be URL encoded. To apply a filter that queries the data for a specific date range, append the `start-time` and `end-time` query parameters and values to the URI. By using these parameters, you can specify the first and last date and time, in extended ISO 8601 format, of an inclusive date range to retrieve the data for. Use an ampersand (&) to separate the parameters. For example, the following request retrieves the number of transactional email messages that were sent for a project from September 6, 2019 through September 13, 2019: ``` https://pinpoint.us-east-1.amazonaws.com/v1/apps/1234567890123456789012345example/kpis/daterange/txn-emails-sent?start-time=2019-09-06T00:00:00Z&end-time=2019-09-13T23:59:59Z ``` Where: + `pinpoint.us-east-1.amazonaws.com` is the Amazon Pinpoint endpoint for the AWS Region that hosts the project. + `1234567890123456789012345example` is the unique identifier for the project. + `txn-emails-sent` is the `kpi-name` value for the *sends* application metric, which is the metric that reports the number of transactional email messages that were sent for a project. + `2019-09-06T00:00:00Z` is the first date and time to retrieve data for, as part of an inclusive date range. + `2019-09-13T23:59:59Z` is the last date and time to retrieve data for, as part of an inclusive date range. ------ #### [ AWS CLI ] To query analytics data for transactional email messages by using the AWS CLI, use the **get-application-date-range-kpi** command, and specify the appropriate values for the required parameters: ``` C:\> aws pinpoint get-application-date-range-kpi ^ --application-id {{application-id}} ^ --kpi-name {{kpi-name}} ``` Where: + {{application-id}} is the unique identifier for the project. + {{kpi-name}} is the `kpi-name` value for the metric to query. To apply a filter that queries the data for a specific date range, add the `start-time` and `end-time` parameters and values to your query. By using these parameters, you can specify the first and last date and time, in extended ISO 8601 format, of an inclusive date range to retrieve the data for. For example, the following request retrieves the number of transactional email messages that were sent for a project from September 6, 2019 through September 13, 2019: ``` C:\> aws pinpoint get-application-date-range-kpi ^ --application-id 1234567890123456789012345example ^ --kpi-name txn-emails-sent ^ --start-time 2019-09-06T00:00:00Z ^ --end-time 2019-09-13T23:59:59Z ``` Where: + `1234567890123456789012345example` is the unique identifier for the project. + `txn-emails-sent` is the `kpi-name` value for the *sends* application metric, which is the metric that reports the number of transactional email messages that were sent for a project. + `2019-09-06T00:00:00Z` is the first date and time to retrieve data for, as part of an inclusive date range. + `2019-09-13T23:59:59Z` is the last date and time to retrieve data for, as part of an inclusive date range. ------ #### [ SDK for Java ] To query analytics data for transactional email messages by using the AWS SDK for Java, use the **GetApplicationDateRangeKpiRequest** method of the [Application Metrics](https://docs.aws.amazon.com/pinpoint/latest/apireference/apps-application-id-kpis-daterange-kpi-name.html) API. Specify the appropriate values for the required parameters: ``` GetApplicationDateRangeKpiRequest request = new GetApplicationDateRangeKpiRequest() .withApplicationId("{{applicationId}}") .withKpiName("{{kpiName}}") ``` Where: + {{applicationId}} is the unique identifier for the project. + {{kpiName}} is the `kpi-name` value for the metric to query. To apply a filter that queries the data for a specific date range, include the `startTime` and `endTime` parameters and values in your query. By using these parameters, you can specify the first and last date and time, in extended ISO 8601 format, of an inclusive date range to retrieve the data for. For example, the following request retrieves the number of transactional email messages that were sent for a project from September 6, 2019 through September 13, 2019: ``` GetApplicationDateRangeKpiRequest request = new GetApplicationDateRangeKpiRequest() .withApplicationId("1234567890123456789012345example") .withKpiName("txn-emails-sent") .withStartTime(Date.from(Instant.parse("2019-09-06T00:00:00Z"))) .withEndTime(Date.from(Instant.parse("2019-09-13T23:59:59Z"))); ``` Where: + `1234567890123456789012345example` is the unique identifier for the project. + `txn-emails-sent` is the `kpi-name` value for the *sends* application metric, which is the metric that reports the number of transactional email messages that were sent for a project. + `2019-09-06T00:00:00Z` is the first date and time to retrieve data for, as part of an inclusive date range. + `2019-09-13T23:59:59Z` is the last date and time to retrieve data for, as part of an inclusive date range. ------ After you send your query, Amazon Pinpoint returns the query results in a JSON response. The structure of the results varies depending on the metric that you queried. Some metrics return only one value. For example, the *sends* (`txn-emails-sent`) application metric, which is used in the preceding examples, returns one value—the number of transactional email messages that were sent from a project. In this case, the JSON response is the following: ``` { "ApplicationDateRangeKpiResponse":{ "ApplicationId":"1234567890123456789012345example", "EndTime":"2019-09-13T23:59:59Z", "KpiName":"txn-emails-sent", "KpiResult":{ "Rows":[ { "Values":[ { "Key":"TxnEmailsSent", "Type":"Double", "Value":"62.0" } ] } ] }, "StartTime":"2019-09-06T00:00:00Z" } } ``` Other metrics return multiple values and group the values by a relevant field. If a metric returns multiple values, the JSON response includes a field that indicates which field was used to group the data. To learn more about the structure of query results, see [Use JSON query results](analytics-query-results.md).