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@sbrissenden
sbrissenden / firebase_performance_slow_screens.sql
Last active December 19, 2022 13:20
[BigQuery + Firebase Performance Monitoring] Find app screens with frozen frames impacting French users
SELECT
AVG(trace_info.duration_us / 1000000) AS seconds_on_screen,
AVG(trace_info.screen_info.slow_frame_ratio) AS slow_frame_ratio,
AVG(trace_info.screen_info.frozen_frame_ratio) AS frozen_frame_ratio,
event_name as screen,
country
FROM `friendly--pix.projectId.firebase_performance.YOUR_PACKAGE_NAME_ANDROID`
WHERE _PARTITIONTIME > TIMESTAMP("2019-05-09")
AND event_type = "SCREEN_TRACE"
AND country = "FR"
@sbrissenden
sbrissenden / predictions_churn.sql
Created May 7, 2019 22:39
[BigQuery + Firebase Predictions] Number of Users Predicted to Churn
SELECT COUNT(distinct p.user_id)
FROM `friendly--pix.projectId.firebase_predictions.YOUR_PACKAGE_NAME_ANDROID` p CROSS JOIN UNNEST (predictions)
WHERE
prediction_name = "churn"
AND score > 0.7
AND TIMESTAMP_TRUNC(p.prediction_time, DAY) = TIMESTAMP('2018-10-04')
@sbrissenden
sbrissenden / predictions_churn_french_users.sql
Created May 7, 2019 22:35
[BigQuery + Firebase Predictions] Number of Users Predicted to Churn - French Users
SELECT COUNT(distinct p.user_id)
FROM `friendly--pix.projectId.firebase_predictions.YOUR_PACKAGE_NAME_ANDROID` p CROSS JOIN UNNEST (predictions)
INNER JOIN `projectId.analytics_YOUR_TABLE.events_*`` a on p.user_id = a.user_id
WHERE
prediction_name = "churn"
AND score > 0.7
AND TIMESTAMP_TRUNC(p.prediction_time, DAY) = TIMESTAMP('2018-10-04')
AND a.geo.country = "France"
@sbrissenden
sbrissenden / crashes.sql
Created May 7, 2019 22:29
[BigQuery + Firebase Crashlytics] Crashes from May 9th
#standardSQL
SELECT
event_id, issue_id, blame_frame.file, blame_frame.line
FROM
`projectId.firebase_crashlytics.package_name_ANDROID`
WHERE
FORMAT_TIMESTAMP("%Y%m%d", TIMESTAMP_TRUNC(event_timestamp, DAY)) = '20190509'
@sbrissenden
sbrissenden / retention.sql
Last active May 31, 2022 00:51
[BigQuery + Google Analytics for Firebase] Daily N-Day User Retention of September 1 Cohort
#standardSQL
####################################################################
# PART 1: Cohort of New Users starting on SEPT 1
####################################################################
WITH
new_user_cohort AS (
SELECT DISTINCT user_pseudo_id as new_user_id
FROM
`projectId.analytics_YOUR_TABLE.events_*`
WHERE