LinkedIn
Marketing spend, clicks, and impressions from LinedIn
This transformation updates the spend
table with marketing data about the LinkedIn ad source.
Read more about spend transformations
Type: Spend Transformation
Table: spend
select
CONCAT( CAST(UNIX_SECONDS(c.day) AS STRING) , "-" , CAST(c.campaign_id AS STRING)) AS enriched_activity_id
, c.day as enriched_ts
, c.day as date
, "linkedin" AS ad_source
, CAST(NULL AS STRING) AS ad_name
, h.name AS campaign_name
, CAST(NULL AS STRING) AS utm_medium
, CAST(NULL AS STRING) AS utm_source
, CAST(NULL AS STRING) AS utm_campaign
, CAST(NULL AS STRING) AS utm_content
, c.impressions
, c.clicks
, c.cost_in_local_currency as spend
FROM linkedin_media.ad_analytics_by_campaign c
LEFT JOIN (
SELECT
CASE
WHEN LAG(last_modified_time) over (PARTITION by id ORDER BY last_modified_time) is NULL
THEN created_time ELSE last_modified_time END
AS valid_from
, COALESCE(LEAD(last_modified_time) over (PARTITION by id ORDER BY last_modified_time), CAST('2100-01-01' AS TIMESTAMP))
AS valid_to
, *
FROM linkedin_media.campaign_history ) h
on h.id = c.campaign_id
AND c.day >= h.valid_from
AND c.day <= valid_to
Processing Configuration:
- Delete Recent Days: 7
Why?
Clicks, impressions, and spend may continue to change up to one week after the ad was shown. Deleting recent days on update will ensure that the final value is captured in your spend table.
When to use delete recent days
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Updated about 3 years ago
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