Talk:Analytics/Data Lake/Traffic/UserRetention

From Wikitech
Jump to navigation Jump to search

Potential Collaboration between Fundraising, Reading, and Analytics

It seems to me User Retention doesn't make sense to us in the traditional sense that it would at e-commerce companies. But it still seems important to Fundraising, maybe with an alternate custom definition that we can come up with. So Fundraising could be a good, concrete stakeholder. Reading could guide that into requirements that make sense for them as well, and Analytics could provide technical help with the data pipeline and metrics reporting. I just wanted to point out this potential collaboration, seems like it could work well. --milimetric (talk) 17:30, 23 August 2016 (UTC)

Agree. And adding to that: In e-commerce, for example, pageviews are tied to purchases because pageviews are mere previews of the product clients will buy, they are part of the consumption funnel; more pageviews statistically mean more purchases. However, in Wikipedia, pageviews correspond to the user browsing and consuming the final product. Pageviews do not precede donations in a consumption funnel. So, +1 alternate custom definition. Mforns (talk) 14:38, 25 August 2016 (UTC)

Our own metric instead of industry standard

I think the retention metric is designed/intended for sites that offer products to their clients (in exchange for money). And those products have a consumption cycle, like: shoes, news, TVs, books, etc. When those products wear out or are fully consumed, you can expect the client to return.

In Wikipedia's case, knowledge does not wear out. A user that reads page A will probably not read it again any soon. And if a user has the wish to read 100 pages, they may very well read them in 1 day, because it's free (money is not a tempo factor). Also, Wikipedia's contents are not periodically refreshed, like a rotating stock that follows fashion trends, wiki contents grow/change in a different way. So, I wonder if Wikipedia users follow a cycle that can be measured.

I'm not saying that we can not learn things from retention concept, but instead of going for the industry definition of retention I would go for our own metric: think what we want to know and why, and then choose a metric. Mforns (talk) 14:29, 25 August 2016 (UTC)