Wikimedia Audiences/th

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This page is a translated version of the page Wikimedia Audiences and the translation is 1% complete.

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2015–2016 2016–2017 2017–2018 2018–2019
Q1: July – September 2015 Q1: July – September 2016 Q1: July – September 2017 Q1: July–September 2018
Q2: October – December 2015 Q2: October – December 2016 Q2: October – December 2017 Q2: October – December 2018
Q3: January – March 2016 Q3: January – March 2017 Q3: January – March 2018 Q3: January – March 2019
Q4: April – June 2016 Q4: April – June 2017 Q4: April – June 2018 Q4: April – June 2019

Annual Roadmap

Across Audiences


Project Pages

Annual Plan goal: New Content

Annual Plan goal: Better Use of Data

Annual Plan goal: Community Wishlist

Annual Plan goal: Anti-Harassment Tools

Annual Plan goal: Wikidata


Audiences teams

An Audience team covers a set of features developed according to specific user flows and needs.


We build collaborative, inclusive tools for creating and editing free knowledge.


Anti-Harassment Tools
Community Tech


Metric ตุลาคม พ.ศ. 2561(2018-10) M/M ± Y/Y ±
Total content 195.0 M 1.1% 16.8%
—Wikipedia articles 49.2 M 0.4% 5.3%
—Commons files 50.5 M 1.1% 17.8%
—Wikidata entities 51.5 M 2.3% 37.1%
Net new content 2,100,000 28.6% 11.4%
—Wikipedia articles 191,000 2.9% 2.8%
—Commons files 549,000 -31.4% -4.0%
—Wikidata entities 1,150,000 204.0% 21.9%
Active editors 82,600 0.6% 1.8%
—New (first-month) 16,700 -8.7% 1.1%
—Second-month 4,250 15.8% 6.3%
—Existing 60,800 2.6% 2.0%
New editor retention 6.6% 16.9% 13.3%
Global revert rate 7.3% -3.4% -16.4%
Total edits 43.5 M 12.7% 6.3%
—Mobile edits 1.2 M 5.1% 23.2%
—Data edits 2.3 M 29.6% 37.4%
—File uploads 0.6 M -29.5% -4.0%
—Other non-bot edits 12.2 M -1.0% -8.5%


Like September, this was an unusually good month for active editors, with all the subcomponents rising year on year. We are currently researching the role that participants in Wiki Education Foundation’s programs are playing in the new active editor and new editor retention metrics; preliminary work suggests that they are having a noticeable effect.

The global revert rate has continued to drop substantially; our hypothesis is that this is due to the continuing rise of mass editing on Wikidata, which inflates the number of edits without increasing the number of reverts.

Metric ตุลาคม พ.ศ. 2561(2018-10) M/M ± Y/Y ±
Global South countries
—Reader interactions² 4.31 B +2% —³
—Active editors 19,900 -1.1% —¹
—New editor retention —⁴ —⁴ —¹
—Edits 1,980,000 -4.3% —¹
—Non-bot edits 1,980,000 -4.3% —¹
Mobile-heavy wikis
—Reader interactions² 708 M +7% —³
—Active editors 3,800 -1.2% 13.7%
—New editor retention 5.1% -0.3% 19.3%
—Edits 958,000 13.1% -8.4%
—Non-bot edits 438,000 -1.0% 6.2%


¹ Editor location data is deleted after 90 days, so it is not possible to calculate trends from before the metric was established. Trends started to accumulate in June 2018.

² Pageviews (all platforms) + seen previews (desktop).

³ The rollout of the page previews feature was completed less than a year ago.

⁴ A delay in the calculation of new editor retention meant that the geolocation data used to judge whether a new editor comes from the Global South or Global North was deleted before the calculation could be completed (under our privacy policy, this data must be deleted after 90 days). We will assess our calculation pipeline to determine how to prevent this from happening in the future.


This month, we have updated our definition of Global South to exclude IP addresses that our geolocation database cannot assign to any particular country (“unknown countries”).

This has had a relatively small impact on Global South reader interactions and editors, since unknown countries account for less than 1% of both interactions and editors. However, it has had a very large impact on Global South edits, which declined from 9.05 M last month to 1.98 M this month. The main reason seems to be that the IP addresses used for the Wikimedia Cloud Services platform do not appear in our geolocation database, so bulk edits made on the platform are categorized as from unknown countries.

Metrics analysis

Overall, the trends this month are as before. Notable continuing trends include:

  • The gradual increase in existing active editors. This trend is also reflected in a gradual increase in the monthly number of editors with 100 or more edits per month, also know as very active editors (see graph).
  • The decline in newer contributors, which affects a broad spectrum of editors.
  • The (continued) growth of mobile contributions.


We build exceptional learning and reading experiences for the sum of all knowledge.

Reading Infrastructure
Reading Web
Total pageviews in year-over-year comparison, 2013-2018 (also available separately for desktop and mobile)
Pageviews since 2013.
Metrics Monthly
กันยายน พ.ศ. 2561(2018-09)
year-over-year change
Interactions[r 1][r 2][r 3] 16.7 B N/A[r 4]
Pageviews[r 5][r 3] 15.1 B +3%
… Desktop[r 5][r 3] 6.5 B -6%
… Mobile Web[r 5] 8.4 B +12%
—Desktop previews[r 1] 1.64 B N/A[r 4]
—Global South[r 1][r 2][r 3][r 6] 4.31 B N/A[r 4]
Unique Devices (all Wikipedias) 1.61 B +13%
Android Uniques 4.74 M -15.26%
iOS Uniques(August) N/A N/A
Android Installs 17.6 k/d -14.7%
iOS Downloads[r 7] (August) 3.1 k/d -56.18%
Updated October 22, 2018. For some analysis of longer-term trends, see also the quarterly core Audiences metrics overview for Q3 and other Readership metrics reports. More information about the Android app's metrics can be found in this overview.
  1. 1.0 1.1 1.2 Normalized to 30 days/month
  2. 2.0 2.1 Pageviews (all platforms) + seen previews (desktop)
  3. 3.0 3.1 3.2 3.3 Corrected for spurious IE7 views from some countries
  4. 4.0 4.1 4.2 The rollout of the page previews feature was completed less than a year ago.
  5. 5.0 5.1 5.2 From projectview_hourly/pageview_hourly, normalized to 30 days/month
  6. defined as those not geolocated to a Global North country, i.e including some with unknown location
  7. Via App Annie (first-time downloads from the app store; does not includes updates or installs on an additional device using the same account).May contain Volume Purchase Program downloads and possibly some artifacts on rare occasions.

Metrics analysis

We continue to see a notable year-over-year increase in pageviews, although a bit smaller this month (3% compared to 4% in August).

As before, keep in mind that the decrease in desktop pageviews is partly due to the deployment of the page previews feature over the course of the 2017/18 fiscal year.

Unique devices also increased year-over-year like in previous months, but this metric might be more susceptible to artifacts that decrease the accuracy of such longer-term trend assessments.

Technical Program Management

We are dedicated to guiding delivery processes and facilitating team health through good practices.

Page: Audiences Technical Program Management

Lead: Grace Gellerman


We make sharing of all human knowledge easy and joyful. For everyone.

Page: Design

Lead: Nirzar Pangarkar

Product Analytics

We make recommendations based on results of analyses, advocate for ethical data practices, and educate on topics around data and statistics.

Page: Product Analytics

Lead: Kate Zimmerman

Product Design Strategy

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Page: [link here]

Lead: Margeigh Novotny


Wikidata is a free and open knowledge base that can be read and edited by both humans and machines. This project is maintained by the Software Development & Engineering department at Wikimedia Deutschland.


WMDE Fiscal Year 2016

WMDE Fiscal Year 2017