| Required permit | Rate limit tokens cost |
|---|
| Reporting:Api:Report:SendingsStats | 2 |
This report allows you to get statistics which are produced during sending.It includes events which are common for each available channel.Fields#
loyalty_club_id#
| Type | Filterable |
|---|
| Integer | (via X-Customer header) |
event_type#
This field is an enum, possible values are:channel#
| Type | Filterable |
|---|
| Enum | Depends on aggregation |
This field is an enum, possible values are:service_type#
| Type | Filterable |
|---|
| Enum | Depends on aggregation |
campaign_id#
| Type | Filterable |
|---|
| Integer | Depends on aggregation |
ID of campaign to which sending was scheduled.reporting_id#
| Type | Filterable |
|---|
| Integer | Depends on aggregation |
Sending's reporting_id. This field can be used to attribute reported sending to its source.Query without aggregations#
Query returns series with sending events labeled by event_type.Labels#
| Key | Type | Description |
|---|
| event_type | Enum | See in Fields |
Aggregations#
service_type#
Labels#
| Key | Type | Description |
|---|
| service_type | Enum | See in Fields |
| event_type | Enum | See in Fields |
There is also total_service_type aggregation which works the same way but removes loyalty_club_id from series when working on cross-customer data.
campaign_id#
Labels#
| Key | Type | Description |
|---|
| campaign_id | Integer | See in Fields |
| event_type | Enum | See in Fields |
There is also total_campaign_id aggregation which works the same way but removes loyalty_club_id from series when working on cross-customer data.
channel#
Labels#
| Key | Type | Description |
|---|
| channel | Enum | See in Fields |
| event_type | Enum | See in Fields |
There is also total_channel aggregation which works the same way but removes loyalty_club_id from series when working on cross-customer data.
reporting_id#
Labels#
| Key | Type | Description |
|---|
| reporting_id | Integer | See in Fields |
| event_type | Enum | See in Fields |
There is also total_reporting_id aggregation which works the same way but removes loyalty_club_id from series when working on cross-customer data.
