- Clicked Email
- Opened Email
- Unsubscribed Email
Type: Activity Transformation
select t.id as activity_id , t.timestamp as ts , NULL and anonymous_customer_id , t.context_traits_email as customer , CASE WHEN t.event = 'email_link_clicked' then 'clicked_email' WHEN t.event = 'email_opened' then 'opened_email' WHEN t.event = 'unsubscribed' then 'unsubscribed_email' END as activity , NVL(c.email_subject, o.email_subject, u.email_subject) as feature_1 --subject , NVL(c.campaign_name, o.campaign_name, u.unsub_source) as feature_2 -- campaign or unsubscribe reason , NVL( c.id, o.id, u.id) as feature_3 -- email_uuid , NULL as revenue_impact , c.url as link -- link_clicked from iterable.tracks t left join iterable.email_link_clicked c on t.id = c.id and t.event = 'email_link_clicked' left join iterable.email_opened o on t.id = o.id and t.event = 'email_opened' left join iterable.unsubscribed u on t.id = u.id and t.event = 'unsubscribed' where t.event in ( 'email_link_clicked' , 'email_opened' , 'unsubscribed' ) and t.context_traits_email not like 'test%'
- Use the
context_ipfrom iterable to improve your identity resolution: Using Ip to improve Identitity Resolution
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Updated over 1 year ago
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