Hi all,

with this email we are starting a weekly look at our most important
readership metrics.

The main purpose is to raise awareness about how these are developing, call
out the impact of any unusual events in the preceding week (e.g. the media
promotion for the Android app this time) 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 7-13, 2015 unless otherwise
noted.)

Pageviews:

Total: 546 million/day

Context (April 2015-September 2015):

[image: Wikimedia daily pageviews, all vs. mobile (April 2015-).png]

After the drop in June, which by now looks not merely seasonal but likely
to be at least partially connected to the rollout of HTTPS-only access
begun on June 12, overall pageviews are slightly rising again recently.
(Notably, the recent drop
<https://reportcard.wmflabs.org/graphs/unique_visitors> in comScore’s
numbers - also in their pageview estimates for Wikimedia sites, not
reproduced in that report card - is not consistent with our own traffic
data; these discrepancies are being looked into.)

Desktop: 58.8%

Mobile web: 39.9%

Apps: 1.2%


Global North ratio: 77.5% of total pageviews

Context (April 2015-September 2015):

[image: Wikimedia pageviews, Global South vs. Global North (April
2015-).png]


Unique app users

Android: 1.136 million /day

Context (January 2015-September 2015):

While this number is slightly higher than in the preceding week, there’s no
noticeable effect visible yet from the media promotion for the Android
app (blog
post
<https://blog.wikimedia.org/2015/09/10/wikipedia-app-new-navigation-features/>
on September 10, media coverage
<https://meta.wikimedia.org/wiki/Communications_committee/Press_clippings/2015#September>
on September 10, 11 and 13).


iOS: 290k / day


Context (January 2015-September 2015):

New app installations

Android: 40,168/day (Daily installs per device, from Google Play, September
7-11)

Context (September 2014-September 2015):

Unfortunately, the stats function of the Google Play is having issues
currently and data for recent days has been delayed. (They “expect to
resolve the issue shortly”, but the September 11 only became available this
morning and I’m sending this report out now, a fuller assessment of the
impact of the media campaign will need to wait.) The first two days after
the blog post went out on September 10 did not yet show a marked increase:

20150911

40648

20150910

39862

20150909

39927

20150908

39981

20150907

40420


iOS: 5,262/day (download numbers from App Annie)

Context (September 2014-September 2015):

We seem to have a slight upwards trend in recent weeks, but it’s still way
below the download rate a year ago.

----

For reference, the queries and source links used are listed below (access
is needed for each). I’ll also see to upload charts to Commons.

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 "2015-09-07"
AND "2015-09-13";

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 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 "2015-09-07"
AND "2015-09-13";

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 "2015-09-07"
AND "2015-09-13" GROUP BY access_method;

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 20150907 AND
20150913;

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 Android_DAU FROM wmf.mobile_apps_uniques_daily
WHERE platform = 'iOS';

https://play.google.com/apps/publish/?dev_acc=18062848292902787645#StatsPlace:p=org.wikipedia&statm=DAILY_DEVICE_INSTALLS&statd=OS_VERSION

https://www.appannie.com/dashboard/252257/item/324715238/downloads/?breakdown=country&date=2014-09-14~2015-09-13&chart_type=downloads&countries=ALL


-- 
Tilman Bayer
Senior Analyst
Wikimedia Foundation
IRC (Freenode): HaeB
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