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Engagement, With Names

mediumSQLJoinsGroupBy

The engagement table Kindled's growth lead circulates each week is read by people who have never seen the database, so a column of id numbers is useless to them. The activity is tracked against ids and the names live on the account records, so the two have to be brought together. Anybody who has produced no tracked action at all has nothing to report and stays off the table.

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 per person who has produced at least one tracked action, with columns name and events — how many actions that person produced. Busiest first; people on the same count are listed alphabetically by name.

Example output — shape only, on invented people. The first two are level, so they fall alphabetically:

name events
Nadia Petrov 16
Owen Blackwood 16
Rafael Costa 13
Sunny Oduya 11
Tessa Lund 10

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