Events daily
Mixpanel's Insights "Total events" and "Unique users" per event, per day.
- Grain
- one row per day (UTC) x event name
- Built from
- 1Raw tables
- 1Staging
- 1Core
- 1Analytics
- Reads from Mixpanel
- events
- Ships as
- Weld and dbt SQL, open source on GitHub
1-- core.mixpanel_source.events_daily
2-- Mixpanel's Insights "Total events" and "Unique users" per event, per day.
3--
4-- Grain: one row per day (UTC) x event name.
5-- Depends on: staging.mixpanel_source.events
6--
7-- `unique_users` counts distinct `distinct_id` values within the row. They are unique per
8-- day and per event, so they cannot be summed across days or events into unique people;
9-- use active_users_daily for that.
10--
11-- Mixpanel's UI resolves identities (an anonymous device and the user it later logged in
12-- as are one person) and shows days in your project time zone. These counts use the raw
13-- `distinct_id` and UTC days, so uniques can run slightly above Mixpanel's and days can
14-- shift at the edges.
15
16SELECT
17 DATE(event_at) AS date,
18 event_name,
19 COUNT(*) AS events,
20 COUNT(DISTINCT distinct_id) AS unique_users,
21 SAFE_DIVIDE(COUNT(*), COUNT(DISTINCT distinct_id)) AS events_per_user
22FROM {{staging.mixpanel_source.events}}
23GROUP BY 1, 2This model and the 2 it depends on. Deploy them together; refs like {{staging.…}} resolve to the matching folders in Weld, and the dbt view uses source() and ref().
How it counts. And where it stops.
`unique_users` counts distinct `distinct_id` values within the row. They are unique per day and per event, so they cannot be summed across days or events into unique people; use active_users_daily for that. Mixpanel's UI resolves identities (an anonymous device and the user it later logged in as are one person) and shows days in your project time zone. These counts use the raw `distinct_id` and UTC days, so uniques can run slightly above Mixpanel's and days can shift at the edges.
Raw tables it reads
- raw.mixpanel_source.events
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