Hi all,
here is the weekly look at our most important readership metrics.
As laid out last week, the main purpose is to raise awareness about how these are developing, call out the impact of any unusual events in the preceding week, and facilitate thinking about core metrics in general.
We will iterate on the presentation (e.g. to better take seasonality into account, in particular including year-over-year comparisons) and eventually want to create dashboards for those which are not already available in that form already. Feedback and discussion welcome.
(All numbers below are averages for September 14-20, 2015 unless otherwise noted.)
Pageviews:
Total: 523 million/day
Context (April 2015-September 2015):
Pageviews were down 4.3% from last week, a somewhat noticeable drop (for a more dramatized view, see the Vital Signs dashboard).
Desktop: 58.1%
Mobile web: 40.7%
Apps: 1.2%
Global North ratio: 77.4% of total pageviews
Context (April 2015-September 2015):
Unique app users
Android: 1.303 million /day
Context (January 2015-September 2015):
A slight rise in the last two weeks, but we’re not seeing a clear effect of the recent media promotion for the Android app (blog post on September 10, media coverage on September 10, 11 and 13) - compare the bump in April around the time when the app was featured in the Play store and the media promotion for the iOS app happened (with much wider media coverage).
iOS: 319k / day
Context (January 2015-September 2015):
No news here.
New app installations
Android: 44,066/day (installs per device, from Google Play, September 14-19)
Context (Aug 21, 2015 - Sep 21, 2015):
One is tempted to see a bit of a bump after the start of the media promotion on September 10 (concretely, average daily installs in the time from September 10-19 were 2.5% higher than in the time from August 21-September 9), but in the end we can’t really be certain whether it had an effect. (Compare again very visible peak in April in the year-over-year graph I posted last week.)
The drop on Sunday September 20 seems to be a problem with Google Play’s statistics (several other metrics like uninstall numbers show a similar drop) and not something we need to worry about; I left it out from the average above as an outlier.
iOS: 4,839/day (download numbers from App Annie)
Context (September 2014-September 2015):
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For reference, the queries and source links used are listed below (access is needed for each). Most of the above charts have been updated on Commons, too.
hive (wmf)> SELECT SUM(view_count)/7000000 AS avg_daily_views_millions FROM wmf.projectview_hourly WHERE agent_type = 'user' AND CONCAT(year,"-",LPAD(month,2,"0"),"-",LPAD(day,2,"0")) BETWEEN "2015-09-14" AND "2015-09-20";
hive (wmf)> SELECT year, month, day, CONCAT(year,"-",LPAD(month,2,"0"),"-",LPAD(day,2,"0")) as date, sum(IF(access_method <> 'desktop', view_count, null)) AS mobileviews, SUM(view_count) AS allviews FROM wmf.projectview_hourly WHERE year=2015 AND agent_type = 'user' GROUP BY year, month, day ORDER BY year, month, day LIMIT 1000;
hive (wmf)> SELECT access_method, SUM(view_count)/7 FROM wmf.projectview_hourly WHERE agent_type = 'user' AND CONCAT(year,"-",LPAD(month,2,"0"),"-",LPAD(day,2,"0")) BETWEEN "2015-09-14" AND "2015-09-20" GROUP BY access_method;
hive (wmf)> SELECT SUM(IF (FIND_IN_SET(country_code, 'AD,AL,AT,AX,BA,BE,BG,CH,CY,CZ,DE,DK,EE,ES,FI,FO,FR,FX,GB,GG,GI,GL,GR,HR,HU,IE,IL,IM,IS,IT,JE,LI,LU,LV,MC,MD,ME,MK,MT,NL,NO,PL,PT,RO,RS,RU,SE,SI,SJ,SK,SM,TR,VA,AU,CA,HK,MO,NZ,JP,SG,KR,TW,US') > 0, view_count, 0))/SUM(view_count) FROM wmf.projectview_hourly WHERE agent_type = 'user' AND CONCAT(year,"-",LPAD(month,2,"0"),"-",LPAD(day,2,"0")) BETWEEN "2015-09-14" AND "2015-09-20";
hive (wmf)> SELECT year, month, day, CONCAT(year,"-",LPAD(month,2,"0"),"-",LPAD(day,2,"0")), SUM(view_count) AS all, SUM(IF (FIND_IN_SET(country_code, 'AD,AL,AT,AX,BA,BE,BG,CH,CY,CZ,DE,DK,EE,ES,FI,FO,FR,FX,GB,GG,GI,GL,GR,HR,HU,IE,IL,IM,IS,IT,JE,LI,LU,LV,MC,MD,ME,MK,MT,NL,NO,PL,PT,RO,RS,RU,SE,SI,SJ,SK,SM,TR,VA,AU,CA,HK,MO,NZ,JP,SG,KR,TW,US') > 0, view_count, 0)) AS Global_North_views FROM wmf.projectview_hourly WHERE year = 2015 AND agent_type='user' GROUP BY year, month, day ORDER BY year, month, day LIMIT 1000;
hive (wmf)> SELECT SUM(IF(platform = 'Android',unique_count,0))/7 AS avg_Android_DAU_last_week, SUM(IF(platform = 'iOS',unique_count,0))/7 AS avg_iOS_DAU_last_week FROM wmf.mobile_apps_uniques_daily WHERE CONCAT(year,LPAD(month,2,"0"),LPAD(day,2,"0")) BETWEEN 20150914 AND 20150920;
hive (wmf)> SELECT CONCAT(year,"-",LPAD(month,2,"0"),"-",LPAD(day,2,"0")) as date, unique_count AS Android_DAU FROM wmf.mobile_apps_uniques_daily WHERE platform = 'Android';
hive (wmf)> SELECT CONCAT(year,"-",LPAD(month,2,"0"),"-",LPAD(day,2,"0")) as date, unique_count AS iOS_DAU FROM wmf.mobile_apps_uniques_daily WHERE platform = 'iOS';