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task Funnels & conversion · hard

Attribute session conversion to first touch

For each first-touch channel, count sessions and converted_sessions, then return conversion_pct rounded to two decimals. A converted session contains an ordered view → checkout → purchase of the same cart within that session.

what to return

Columns
channelsessionsconverted_sessionsconversion_pct in this order
Rows
4 rows · in the order asked
Watch for
Deduplicate globally by event_key, keeping the smallest id; a retry may have a conflicting payload.
Use (occurred_at, id) as the total event order; equal timestamps follow id order. All times are UTC.
A shopper starts a session at the first canonical event or after a gap strictly greater than 30 minutes from their previous canonical event. Exactly 30 minutes stays in the same session; midnight alone does not split it.
Session numbers start at 1 per shopper and include every event type, including heartbeat and purchase-only sessions.
Attribute the whole session to the channel of its first event. Conversion is binary per session, regardless of how many carts convert. There is no additional view-to-purchase time limit. Include zero-conversion channels. Order by channel.
Skill
Measure session-level conversion using a deterministic acquisition channel. Refresher: Sessionize an event stream →

expected result

Your query should return exactly these columns and values. Run it and compare.

expected result4 rows · in this order
channelsessionsconverted_sessionsconversion_pct
direct300
email6233.33
search3266.67

first 3 of 4 rows

data you can query

Sample rows from each table. Each column shows its type underneath; → marks a link to another table.

market_web_events7 columns · 38 rows
idinteger · keyevent_keytextshopper_idinteger → shoppersoccurred_attextevent_typetextchanneltextcart_idtext
1a112025-05-01 09:00:00viewemailA
2a212025-05-01 09:05:00checkoutdirectA
3a312025-05-01 09:10:00purchasedirectA
4a312025-05-01 09:10:00purchasedirectA
5b112025-05-01 10:00:00viewsearchB

showing 5 of 38 rows

solution.sql
 

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