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End of year issue #133
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Also, last year I compiled these stats by querying the MailChimp API with a Haskell script. If I do that again this year, I should open source it. |
IMHO, top N links of the year is a good idea. The absolute number of clicks seems fine, same with web clicks count. |
I created a script for pulling a bunch of information from the MailChimp API: https://gist.github.com/tfausak/cf3e843b199afac3d0ecb3d3b74207b4 |
This is shaping up to be a deeper dive, so I'm going to do a write up on my blog and link to it from issue 87 (#139): tfausak/tfausak.github.io#143 |
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Last year I did a small roundup of the most popular links at the end of the year: https://haskellweekly.news/issues/35.html
I'd like to do something similar this year. I could either do the top N links of the year or the best link from each issue. Choosing the best link from each issue is easy, but it also results in a lot of links. And what happens if one issue had two killer links? On the other side of things, should the top N links be chosen by absolute number of clicks or percentage clicks from subscribers? In either case, should web clicks count, or should only email clicks matter?
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