I would imagine that they cache the page contents and hence hit a URL only once in a certain period of time, thus skewing any analytics built around this.
Yeah it's cached by Facebook. That's why if you want to change your meta and/or open graph tags info, you need to feed your page to Facebook's Url Linter (https://developers.facebook.com/tools/lint/).
ive been writing python for ages but never found a simple introduction to how to package modules - always thought it was voodoo, so thanks a lot! so simple...
I remember your post when you guys launched. I went to your site and spent about 5 minutes trying to figure out what the hell it was. I see now that you've greatly improved this, and added several clear examples that show it. Great work!
Do you mind answering a couple of question? I'm curious how you guys have advertised this product, and where your users come from.
yeah no problem - shoot me an email if you want. we took a lot of feedback on board from that HN post and really changed the layout since the initial launch. Most of our traffic comes from blogs and StumbleUpon! We are also now on the first page of Google for some relevant search terms
Looking forward to it! Not sure for your subject, as I am computer vision guy. In fact, I work on large scale image recognition and there is something about this which I love...there's a lot of potential for image analysis here.
A/B testing is fine and all, but you might want to think of it from an ethical standpoint.
Are you okay with requiring someone to shout "I like this service" to be able to use said service, on first use? Does it feel right to disclose the like requirement after the user has already put time in using the service?
It sounds backwards to me at least and you're definitely alienating some people, but if you think it's no big deal then you're entitled to your own opinion.
Rather than A/B test the conversion rates of liking before-or-after, think really hard about what you want to convey. What does a like give you? Is it worth alienating potential users?
You don't need an A/B test to tell you that "If you enjoyed our service, please Like us on Facebook." is a friendlier, more positive request. People have already tweeted about it more than they liked it on Facebook without additional prodding. Let the site stand on its own merits, rather than trying to force promotion through potentially sleazy methods.
