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email_messaging_frequency.view.lkml
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email_messaging_frequency.view.lkml
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# Email Messaging Frequency
view: email_messaging_frequency {
derived_table: {
sql: SELECT date_trunc({% parameter date_granularity %}, (TIMESTAMP 'epoch' + deliveries.time * INTERVAL '1 Second')) AS delivered_time,
deliveries.email_address AS delivered_address,
deliveries.ID as delivered_id,
count(deliveries.id) over (partition by delivered_time, delivered_address) AS frequency,
row_number() over (partition by delivered_address, delivered_time order by delivered_time) as rank,
opens.email_address as opened_address,
opens.message_variation_id as opened_mv_id,
opens.canvas_step_id as opened_cs_id,
clicks.email_address as clicked_address,
clicks.message_variation_id as clicked_mv_id,
clicks.canvas_step_id as clicked_cs_id
FROM BRAZE.PASSENGERS_MESSAGES_EMAIL_DELIVERY AS deliveries
LEFT JOIN BRAZE.PASSENGERS_MESSAGES_EMAIL_OPEN AS opens ON (deliveries.email_address)=(opens.email_address)
AND
((deliveries.message_variation_id)=(opens.message_variation_id)
OR
(deliveries.canvas_step_id)=(opens.canvas_step_id))
LEFT JOIN BRAZE.PASSENGERS_MESSAGES_EMAIL_CLICK AS clicks ON (deliveries.email_address)=(clicks.email_address)
AND
((deliveries.message_variation_id)=(clicks.message_variation_id)
OR
(deliveries.canvas_step_id)=(clicks.canvas_step_id))
WHERE
{% condition campaign_name %} deliveries.campaign_name {% endcondition %}
AND
{% condition canvas_name %} deliveries.canvas_name {% endcondition %}
AND
{% condition message_variation_id %} deliveries.message_variation_id {% endcondition %}
AND
{% condition canvas_name %} deliveries.canvas_step_id {% endcondition %}
;;
}
filter: campaign_name {
description: "name of the campaign"
suggest_explore: users_messages_email_send
suggest_dimension: campaign_name
}
filter: canvas_name {
description: "name of the canvas"
suggest_explore: users_messages_email_send
suggest_dimension: canvas_name
}
filter: canvas_step_id {
description: "canvas step id if from a canvas"
suggest_explore: users_messages_email_send
suggest_dimension: canvas_step_id
}
filter: message_variation_id {
description: "message variation id if from a campaign"
suggest_explore: users_messages_email_send
suggest_dimension: message_variation_id
}
parameter: date_granularity {
description: "specify daily, weekly or monthly marketing pressure"
type: string
default_value: "day"
allowed_value: {
value: "day"
}
allowed_value: {
value: "week"
}
allowed_value: {
value: "month"
}
}
dimension_group: delivered_time {
description: "time the email was delivered (UTC)"
type: time
timeframes: [hour_of_day,
date,
day_of_week,
week, month,
quarter,
year]
sql: ${TABLE}."DELIVERED_TIME" ;;
}
dimension: email_address {
description: "email address of the user"
type: string
sql: ${TABLE}."DELIVERED_ADDRESS" ;;
}
dimension: frequency {
description: "number of emails sent per date granularity (day/week/month)"
type: number
sql: ${TABLE}."FREQUENCY" ;;
}
measure: emails_delivered {
description: "count of unique delivery event IDs"
type: sum
sql: CASE WHEN rank=1 then ${frequency} else null end ;;
}
measure: unique_opens_mvid {
description: "unique opens corresponding to message variations"
type: count_distinct
hidden: yes
sql: (${TABLE}."OPENED_ADDRESS" || ${TABLE}."OPENED_MV_ID") ;;
}
measure: unique_opens_csid {
description: "unique opens corresponding to canvas steps"
type: count_distinct
hidden: yes
sql: (${TABLE}."OPENED_ADDRESS" || ${TABLE}."OPENED_CS_ID") ;;
}
measure: unique_clicks_mvid {
description: "unique clicks corresponding to message variations"
type: count_distinct
hidden: yes
sql: (${TABLE}."CLICKED_ADDRESS" || ${TABLE}."CLICKED_MV_ID") ;;
}
measure: unique_clicks_csid {
description: "unique clicks corresponding to canvas steps"
type: count_distinct
hidden: yes
sql: (${TABLE}."CLICKED_ADDRESS" || ${TABLE}."CLICKED_CS_ID") ;;
}
measure: unique_opens {
description: "distinct count of times a recipient opened an email campaign or canvas (does not count the same person opening the same campaign or canvas more than once);
expected behavior is for this measure to deviate from actual by less than 1% because of limitations on linking specific instances of emails delivered to emails opened"
type: number
sql: COALESCE(${unique_opens_mvid},0)+COALESCE(${unique_opens_csid},0);;
}
measure: unique_clicks {
description: "distinct count of times a recipient opened an email campaign or canvas (does not count the same person opening the same campaign or canvas more than once);
expected behavior is for this measure to deviate from actual by less than 1% because of limitations on linking specific instances of emails delivered to emails clicked"
type: number
sql: COALESCE(${unique_clicks_mvid},0)+COALESCE(${unique_clicks_csid},0) ;;
}
measure: delivery_occasions {
description: "occasions a certain frequency of emails was sent to a user per date granularity"
type: number
sql: COUNT(CASE WHEN rank=1 then ${frequency} else null end) ;;
}
measure: unique_click_rate {
description: "email unique clicks/emails delivered"
type: number
value_format_name: percent_2
sql: ${unique_clicks}/NULLIF(${emails_delivered},0) ;;
}
measure: unique_open_rate {
description: "email unique opens/emails delivered"
type: number
value_format_name: percent_2
sql: ${unique_opens}/NULLIF(${emails_delivered},0) ;;
}
measure: unique_recipients {
description: "distinct count of email addresses that received an email campaign"
type: count_distinct
sql: ${TABLE}."DELIVERED_ADDRESS" ;;
}
}