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The Conversion Rate

mediumSQLSubqueriesArithmetic

One number gets quoted more than any other in Kindled's investor update: the conversion rate — the share of everybody who registered who went on to buy at least once. The denominator is every account, including people who registered and did nothing afterwards, because leaving them out is how a conversion rate gets flattered into meaninglessness. Somebody who bought twice still counts as one buyer.

events — one row per tracked action. user_id points at a row in users. event_type is one of signup, view_product, add_to_cart and purchase. event_date is the day the action happened. Nothing guarantees a person produces all four kinds, or any particular number of rows.

id user_id event_type event_date
1 1 signup 2023-05-01
2 1 view_product 2023-05-01
3 1 add_to_cart 2023-05-02
4 1 purchase 2023-05-03
5 2 signup 2023-05-02
6 2 view_product 2023-05-02
7 3 signup 2023-05-03
8 3 view_product 2023-05-03
9 3 add_to_cart 2023-05-04
10 4 signup 2023-05-04
11 4 view_product 2023-05-05
12 4 add_to_cart 2023-05-05
13 4 purchase 2023-05-06
14 5 signup 2023-05-05
15 6 signup 2023-05-06
16 6 view_product 2023-05-06
17 7 signup 2023-05-07
18 7 view_product 2023-05-07
19 7 add_to_cart 2023-05-08
20 7 purchase 2023-05-09
21 8 signup 2023-05-08

users — one row per person who has created an account. source records how they arrived: organic means they found Kindled themselves, paid_search means they clicked a bought advert, and referral means an existing customer invited them. signup_date is the day they registered.

id name source signup_date
1 Aiden Cole organic 2023-05-01
2 Bianca Reyes paid_search 2023-05-02
3 Carlos Mora organic 2023-05-03
4 Delia Frank referral 2023-05-04
5 Ewan Blake paid_search 2023-05-05
6 Fiona Grey organic 2023-05-06
7 Gus Herrera referral 2023-05-07
8 Hana Ito paid_search 2023-05-08

Both tables already exist in the database — there is nothing to create or load.

Task: Write a query that returns one row and one column, conversion_pct, holding the percentage of registered people who have at least one purchase, rounded to 1 decimal place.

Example output — the shape, on an invented figure. A product converting a little over three fifths of its accounts reads 61.8, not 0.618:

conversion_pct
61.8

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