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Customer Dashboard: Mobile Applications

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shared-dashboards

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Dashboard: - Mobile Applications

This dashboard provides a business / ops view of the mobile status from a performance / utilisation perspective.
It can be used to quickly see how new app releases are going, identifying when, how and what customers are using the application.

Devices - Number of unique devices connected, number of applications upgrades, New installs on devices
Sessions - number of sessions, session times, number of crashes
Application Utilisation:- sessions & transactions over time compared to same time last week. Great for identifying changes to performance or utilisation.
Usage - How many sessions per hour, what devices are connected…

Dashboard Details

Required Products: Mobile.
Level of Effort: Low

This dashboard will work on the standard New Relic Mobile data models and does not require any custom attributes or events.

Queries:

Daily Unique Active Devices:
SELECT uniqueCount(uuid) AS ‘Users’ from MobileSession since today WITH TIMEZONE ‘Australia/Sydney’

Daily Sessions:
SELECT uniqueCount(sessionId) AS ‘Sessions’ from Mobile since today WITH TIMEZONE ‘Australia/Sydney’

Customers at Risk (Crash):
SELECT uniqueCount(uuid) as Users from Mobile where category = ‘Crash’ since today WITH TIMEZONE ‘Australia/Sydney’

Users & Sessions (Over Time):
SELECT uniqueCount(uuid) AS ‘Users’, uniqueCount(sessionId) AS ‘Sessions’ from Mobile since today COMPARE WITH 7 days ago TIMESERIES 5 minutes WITH TIMEZONE ‘Australia/Sydney’

New / Upgraded Devices Today:
SELECT filter(uniqueCount(deviceUuid), WHERE upgradeFrom is NOT NULL) as ‘Upgraded Devices’, filter(uniqueCount(deviceUuid), WHERE install IS TRUE) as ‘New Devices’, filter(uniqueCount(deviceUuid), WHERE install IS TRUE OR upgradeFrom is NOT NULL) as ‘Total New / Upgraded Devices’ FROM MobileSession where appVersion like ‘4.%’ AND osName = ‘iOS’ SINCE today WITH TIMEZONE ‘Australia/Sydney’

Users Today (by Hour):
SELECT uniqueCount(uuid) AS ‘Unique ID’ FROM MobileSession FACET hourOf(timestamp) SINCE today WITH TIMEZONE ‘Australia/Sydney’

Users Per OS & Release Version
SELECT uniqueCount(uuid) as ‘Unique Users’ FROM Mobile FACET osName, appVersion SINCE today WITH TIMEZONE ‘Australia/Sydney’

Daily User Session Time:
SELECT average(sessionDuration)/60 from Mobile facet cases ( where deviceManufacturer like ‘%Apple%’ as ‘Apple’, where deviceManufacturer like ‘%Android%’ as ‘Android’ ) since today TIMESERIES WITH TIMEZONE ‘Australia/Sydney’

Total Mobile Transactions:
SELECT count(*) FROM Mobile SINCE today TIMESERIES 5 minute COMPARE WITH 7 days ago WITH TIMEZONE ‘Australia/Sydney’

Enjoy