Okay, I ran a different query [1], and it looks like it was about 87
pageviews for that one hour in question. Some other hours had more
pageviews in a sense attributable to Share a Fact (based on the provenance
parameter) - there were about 3,616 pageviews for the day in question.
Google Sheet here for more info, which has a pivot table tab.

https://docs.google.com/spreadsheets/d/1fGv7_aTf7oo9jxcVk8NqHNi9q8kpO_JwUJXT_3_VAGM/edit?usp=sharing

-Adam

[1]

SELECT
  hour,
  uri_host,
  x_analytics_map['wprov'],
  geocoded_data['country_code'],
  count(*)
FROM
  wmf.webrequest
WHERE
  x_analytics_map['wprov'] is not null
  AND year = 2015
  AND month = 5
  AND day = 12
  AND is_pageview = TRUE
  AND agent_type = 'user'
  AND uri_host like '%.wikipedia.org'
GROUP BY
  hour,
  uri_host,
  x_analytics_map['wprov'],
  geocoded_data['country_code']
;


On Fri, May 22, 2015 at 12:11 PM, Adam Baso <[email protected]> wrote:

> Thanks. Right, good point, will need to re-run the pageview count to
> exclude spiders.
>
>
> On Friday, May 22, 2015, Dario Taraborelli <[email protected]>
> wrote:
>
>> Thanks for sharing this, Adam. Aside from engagement/funnel data, the
>> critical question for this feature is: does it bring back eyeballs to the
>> site from social media? It looks like it doesn’t yet, at least not in a
>> substantial way, even with the caveat that App traffic is a very small
>> fraction of total mobile traffic.
>>
>> Having looked into referrals for this feature before and after comparing
>> them to Twitter’s own engagement analytics (and finding some big
>> discrepancy), you should consider removing spiders/crawlers from the data
>> (see [1]) to avoid  inflating pageviews with non-human activity.
>>
>> I’m a big fan of this feature and look forward to seeing how you guys
>> intend to scale it.
>>
>> Dario
>>
>> [1]
>> https://github.com/ewulczyn/wmf/blob/b9f726ee3468852c3fed2780af1d8ac0004eda73/mc/oozie/hive_query.sql#L60
>>
>>
>> On May 21, 2015, at 12:37 PM, Toby Negrin <[email protected]> wrote:
>>
>> Hi all - some interesting analysis on the share-a-fact feature from the
>> mobile team.
>>
>> -Toby
>>
>> Begin forwarded message:
>>
>> *From:* Adam Baso <[email protected]>
>> *Date:* May 21, 2015 at 12:05:29 PDT
>> *To:* mobile-l <[email protected]>
>> *Subject:* *[WikimediaMobile] Share a Fact Initial Analysis*
>>
>> Hello all,
>>
>> We’ve been looking at some initial results from the Share a Fact feature
>> introduced on the Wikipedia apps for Android and iOS in its basic "minimal
>> viable product" implementation. Here’s some analysis, using data from one
>> day (20150512) with respect to the latest stable versions of the apps
>> (2.0-r-2015-04-23 on Android and 4.1.2 on iOS) for that day.
>>
>> * On iOS, when a user initiates the first step of the default sharing
>> workflow - tapping the up-arrow box share button (6,194 non-highlighting
>> instances for the day under question) - about 11.7% of the time it yielded
>> successful sharing.
>>
>> * On Android, it’s not possible to easily tell when the sharing workflow
>> was carried through to successful share, but we anticipate the Android
>> success rate is currently much higher, as general engagement percentage up
>> to the point of picking an app for sharing is higher on Android than on iOS.
>>
>> * On Android, when presented with the share card preview, 28.0% of the
>> time the ‘Share as image’ button was tapped and 55.5% of the time the
>> 'Share as text' button was tapped, whereas on iOS it was 8.4% ‘Share as
>> image’ and 16.8% ‘Share as text’.
>>
>> * The forthcoming 4.1.4 version of the iOS app will relax its default
>> sharing snippet generation rules and be more like the Android version in
>> that respect. We anticipate this will result in higher engagement with both
>> the ‘Share as image’ and ‘Share as text’ buttons on iOS, and we should be
>> able to verify this once the 4.1.4 iOS version is released and generally
>> adopted (usually takes 4-5 days after release; the 4.1.4 release isn’t
>> released yet).
>>
>> * On the Android app the ‘Share’ option is located on the overflow menu,
>> not as part of the main set of UI buttons. This potentially increases the
>> likelihood of Android users being primed to step through the workflow. On
>> the iOS app, the share button (up-arrow box) is plainly visible from the
>> main UI and not an overflow menu, and this probably creates a different
>> priming dynamic for the iOS demographic.
>>
>> * When users on iOS tapped on the ‘Share as image’ or ‘Share as text’
>> buttons, there is a pretty sharp drop off at the next stage - the system
>> sharesheet. Once the sharesheet was presented to iOS users, 41.6% of the
>> time it resulted in active abandonment. We believe this probably has
>> something to do with the relatively small set of default apps listed on the
>> sharesheet and the extra work involved with exposing additional social apps
>> for sharing in that context. As with the Android app, the labels of ‘Share
>> as image’ and ’Share as text’ may also pose something of a hurdle at least
>> for first time users of the feature. To this end, there is an onboarding
>> tutorial planned at least on Android.
>>
>> * For a one hour period (2015051201) there were about 100 pageviews in
>> some sense attributable to Share a Fact using a provenance parameter
>> available on the latest stable versions of the apps at that time; this may
>> slightly overstate the number of pageviews attributable to the two specific
>> apps reviewed in this analysis, but probably not too much (n.b., previously
>> a different source parameter was used than the new wprov provenance
>> parameter). Pageviews are not the sole motivation for the feature, but
>> following the trendline over the long run should be interesting. Impact on
>> social media and the destinations of shares is a little harder to capture
>> directly, but
>> https://twitter.com/search?f=realtime&q=%40wikipedia%20-%40itzwikipedia%20filter%3Amedia
>> gives one a sense about image shares, at least.
>>
>> * A couple potential options for increasing sharing include:
>>
>> ** Trying to add support for sharing to the Photos app on iOS. People may
>> be interested in using images from the Photos apps for various workflows,
>> as Dan Garry has noted.
>>
>> ** Offering a more concise app picklist, in particular explicitly adding
>> the native OS app components (namely, Twitter and Facebook, and as
>> mentioned, Photos if possible), with an option to expose the sharesheet for
>> additional options if necessary. This is probably also somewhat confined to
>> iOS, although conceivably a similar approach could be possible on Android.
>> On Android the full list of applications in its equivalent of the
>> sharesheet is by default readily available to the user, though.
>>
>> ** On Android, exposing the diagonal arrow share button on the main
>> interface akin to how the iOS version of the app shows the up-arrow share
>> button. This may introduce more opportunities for sharing (and thus numbers
>> of abandons would go up in tandem with numbers of shares), but would also
>> partially clutter the interface and probably increase abandon. A controlled
>> experiment may be useful for observing the impact of such an approach.
>>
>> * As a point of reference, for the app versions in scope for this
>> analysis over a single day, there appeared to be approximately 3.78 million
>> Wikipedia for Android pageviews and 1.19 Wikipedia Mobile for iOS app
>> pageviews. There were about 6.73 million app pageviews on the “modern”
>> versions of these apps total for this particular day, meaning there were
>> about 1.75 million pageviews on other modern versions of the app.
>>
>> * Examination of the categories of successful shares on iOS showed the
>> following distributions:
>>
>> Images:
>> 48.5% messaging
>> 25.5% sharesheet copy
>> 22.9% social
>> 1.8% productivity
>> 0.9% reading
>>
>>
>> Text:
>> 53.6% messaging
>> 31.9% sharesheet copy
>> 7.1% social
>> 5.4% reading
>> 2.0% productivity
>>
>>
>> Here were some queries used in the analysis:
>>
>> == SHARE A FACT ATTRIBUTABLE PAGEVIEWS FOR ONE HOUR ==
>>
>> select wprov, uri_host, count(*) from (select x_analytics_map['wprov'] as
>> wprov, uri_host
>> from webrequest where year = 2015 and month = 5 and day = 12 and hour = 1
>> and is_pageview = true and uri_host like '%.wikipedia.org' and
>> x_analytics_map['wprov'] is not null) t
>> group by wprov, uri_host;
>>
>>
>> == PAGE VIEWS FOR THE DAY FOR THE “MODERN” VERSIONS OF THE APPS ==
>>
>> SELECT
>>   user_agent, count(*)
>> FROM
>>   wmf.webrequest
>>   tablesample(BUCKET 1 OUT OF 100 ON rand())
>> WHERE
>>   YEAR = 2015
>>   AND MONTH = 5
>>   AND DAY = 12
>>   AND is_pageview = TRUE
>>   AND lower(uri_host) like '%.wikipedia.org'
>>   AND user_agent like 'WikipediaApp%'
>> GROUP BY user_agent;
>>
>>
>>
>> == HIGHLIGHTING SESSION CASE FOR SPECIFIC VERSIONS OF THE APPS ==
>> select CASE WHEN t2.userAgent LIKE 'WikipediaApp/2.0-r-2015-04-23%' THEN
>> 'Android'  WHEN t2.userAgent LIKE 'WikipediaApp/4.1.2%' THEN 'iOS' END AS
>> 'ua', t1.event_action, t1.event_sharemode, t1.event_target, count(*) from
>> MobileWikiAppShareAFact_11331974 t1 inner join
>> MobileWikiAppShareAFact_11331974 t2 on t1.event_shareSessionToken =
>> t2.event_shareSessionToken where  t1.timestamp > '20150512' and
>> t1.timestamp < '20150513' and t2.timestamp > '20150512' and t2.timestamp <
>> '20150513' and t1.event_action != 'highlight' and t2.event_action =
>> 'highlight' and (t2.userAgent like 'WikipediaApp/2.0-r-2015-04-23%' or
>> t2.userAgent like 'WikipediaApp/4.1.2%') group by ua, t1.event_action,
>> t1.event_sharemode, t1.event_target;
>>
>>
>> == NON-HIGHLIGHTING SESSION CASE FOR SPECIFIC VERSIONS OF THE APPS ==
>> n.b., subtract the highlighting cases from the non-highlighting cases to
>> arrive at the default sharing behavior. Technically, inner joins can be
>> used to do more comprehensive session analysis, but the queries take a long
>> time.
>>
>> select CASE
>> WHEN userAgent LIKE 'WikipediaApp/2.0-r-2015-04-23%' THEN 'Android'
>> WHEN userAgent LIKE 'WikipediaApp/4.1.2%' THEN 'iOS'
>> END AS 'ua', event_action, event_sharemode, event_target,
>> count(*) from MobileWikiAppShareAFact_11331974 where timestamp >
>> '20150512' and timestamp < '20150513' and (userAgent like
>> 'WikipediaApp/2.0-r-2015-04-23%' or userAgent like 'WikipediaApp/4.1.2%')
>> group by ua, event_action, event_sharemode, event_target;
>>
>> -Adam
>>
>> _______________________________________________
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>>
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>>
>>
>>
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