Multi tool use

Clash Royale CLAN TAG

Firebase Highly Active Users With Purchase Count

Question:

I found this example, which allows me to get all the user_ids, but with a very filtered approach. I then did a self-join just to supplement these Highly Active Users with their purchases (without success so far). Perhaps there is an easier approach, but my idea is to not only add a purchase-column, but also other conversion-events later: i.e. session_start, user_login, download_video, etc. Any contributions are much appreciated!

#STANDARD_SQL
SELECT
DISTINCT T.user_id,
T.event_params.key,
SUM(T.event_params.value.int_value),
COUNT(Z.event_name)
FROM `bigquery-table.analytics_xxxx.events_*` AS T, T.event_params
LEFT JOIN `bigquery-table.analytics_xxxx.events_*` AS Z, Z.event_params
ON T.user_pseudo_id = Z.user_pseudo_id
WHERE
T.event_name = 'user_engagement'
AND Z.event_name = 'in_app_purchase'
# User engagement in the last M = 10 days */
AND T.event_timestamp > UNIX_MICROS(TIMESTAMP_SUB(CURRENT_TIMESTAMP, INTERVAL 10 DAY))
AND T.event_params.key = 'engagement_time_msec'
AND _TABLE_SUFFIX BETWEEN '20180716' AND '20240131'
AND platform = 'ANDROID'
GROUP BY 1,2
# Having engaged for more than N = 5 minutes
HAVING SUM(T.event_params.value.int_value) > 3 * 60 * 1000000


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