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users_campaigns_conversion.view.lkml
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users_campaigns_conversion.view.lkml
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# Campaign Conversions
view: users_campaigns_conversion {
sql_table_name: PUBLIC.USERS_CAMPAIGNS_CONVERSION ;;
dimension: id {
primary_key: yes
description: "unique id of this event"
hidden: yes
type: string
sql: ${TABLE}."ID" ;;
}
dimension: app_id {
description: "id of the app"
type: string
sql: ${TABLE}."APP_ID" ;;
}
dimension: campaign_id {
description: "id of the campaign"
type: string
sql: ${TABLE}."CAMPAIGN_ID" ;;
}
dimension: campaign_name {
description: "name of the campaign"
type: string
sql: ${TABLE}."CAMPAIGN_NAME" ;;
}
# the below dimensions use Snowflake syntax to turn a json string into code that can be queried.
# use the proper code for your SQL dialect.
dimension: conversion_behavior {
description: "JSON-encoded string describing the conversion behavior"
hidden: yes
type: string
sql: parse_json(${TABLE}."CONVERSION_BEHAVIOR");;
}
dimension: conversion_behavior_index {
description: "index of the conversion behavior"
hidden: yes
type: number
sql: ${TABLE}."CONVERSION_BEHAVIOR_INDEX" ;;
}
dimension: conversion_behavior_type {
description: "type of the conversion behavior"
type: string
sql: ${conversion_behavior}:type::STRING ;;
}
dimension: conversion_window {
description: "window of time to perform the conversion behavior in seconds"
type: number
sql: ${conversion_behavior}:window::NUMBER ;;
}
dimension: conversion_custom_event_name {
description: "if the conversion was a custom event, the name of custom event"
type: string
sql: ${conversion_behavior}:custom_event_name::STRING ;;
}
dimension_group: converted_time {
description: "timestamp of the conversion"
type: time
datatype: epoch
timeframes: [
raw,
time,
date,
week,
month,
quarter,
year
]
sql: ${TABLE}."TIME" ;;
}
dimension: converted_timezone {
description: "IANA timezone of the user at the time of the event"
hidden: yes
type: string
sql: ${TABLE}."TIMEZONE" ;;
}
dimension: external_user_id {
description: "External ID of the user"
type: string
sql: ${TABLE}."EXTERNAL_USER_ID" ;;
}
dimension: message_variation_id {
description: "id of the message variation if from a campaign"
type: string
sql: ${TABLE}."MESSAGE_VARIATION_ID" ;;
}
dimension: send_id {
description: "id of the message if specified for the campaign"
hidden: yes
type: string
sql: ${TABLE}."SEND_ID" ;;
}
dimension: user_id {
description: "Braze user ID"
type: string
sql: ${TABLE}."USER_ID" ;;
}
dimension: user_in_control {
description: "is this user in the control group for this campaign"
type: yesno
sql: ${users_campaigns_enrollincontrol.user_id}=${user_id}
AND
${users_campaigns_enrollincontrol.message_variation_id}=${message_variation_id};;
}
measure: campaign_conversion_event_count {
description: "distinct count of campaign conversion behavior event IDs"
type: count_distinct
sql: ${TABLE}."ID" ;;
}
measure: unique_users_that_converted_on_a_campaign {
description: "distinct count of Braze user IDs who converted on a campaign"
type: count_distinct
sql: ${TABLE}."USER_ID" ;;
}
}