4 ms·

What else could you apply automated A/B testing to? Headlines? The images that accompany news stories?

mtw 18y ago
landing pages for user signups, homepages for media websites (nytimes and other big blogs), email campaigns, product promotions and offers or even defining pricing if you do a saas company
- 8en 18y ago
  For landing pages, I'd recommend Google Website Optimizer. It's a pretty sophisticated multivariate testing tool. https://www.google.com/analytics/siteopt/splash?hl=en https://www.google.com/analytics/siteopt/splash?hl=en
greg 18y ago
I wrote the software behind SnapAds. Before that I wrote an optimizer service for web pages that operates on HTML, CSS or Javascript. Check it out at http://demo.genetify.com http://demo.genetify.com . Let me know if there is any interest -- I'd like to open-source the project.
- jbyers 18y ago
  That's awesome. Definitely interested in an open-source version. Let me know if I can help, contact details in my profile.
- aneesh 18y ago
  Good idea. Actually, I think a platform to make A/B testing super-simple for developers (like us!) could be a business in itself.
jgrahamc 18y ago
Book titles: http://www.jgc.org/blog/2008/11/testing-book-titles-using-google.html http://www.jgc.org/blog/2008/11/testing-book-titles-using-go...
- dangoldin 18y ago
  The guy who wrote Super Crunchers did the same thing. Drank his own Kool Aid. http://www.google.com/search?q=super+crunchers&ie=utf-8&oe=utf-8&aq=t&rls=org.mozilla:en-US:official&client=firefox-a http://www.google.com/search?q=super+crunchers&ie=utf-8&...
jfarmer 18y ago
When I was working on Adonomics I built a system that does this across ad networks, similar to Project Rubicon.
drusenko 18y ago
as a point of clarification, the system greg's built goes much further than simple a/b testing. there are quite a few complications with implementing a genetic algorithm in the real world of constantly shifting preferences. once done right, it can efficiently optimize millions of permutations with millions of ad impressions (<2000 clicks). more permutations means more chance for improvement, and this just isn't possible with a simple a/b testing solution.

mtw 18y ago

landing pages for user signups, homepages for media websites (nytimes and other big blogs), email campaigns, product promotions and offers or even defining pricing if you do a saas company

8en 18y ago
For landing pages, I'd recommend Google Website Optimizer. It's a pretty sophisticated multivariate testing tool. https://www.google.com/analytics/siteopt/splash?hl=en https://www.google.com/analytics/siteopt/splash?hl=en

greg 18y ago

I wrote the software behind SnapAds. Before that I wrote an optimizer service for web pages that operates on HTML, CSS or Javascript. Check it out at http://demo.genetify.com http://demo.genetify.com . Let me know if there is any interest -- I'd like to open-source the project.

jbyers 18y ago
That's awesome. Definitely interested in an open-source version. Let me know if I can help, contact details in my profile.
aneesh 18y ago
Good idea. Actually, I think a platform to make A/B testing super-simple for developers (like us!) could be a business in itself.

jgrahamc 18y ago

Book titles: http://www.jgc.org/blog/2008/11/testing-book-titles-using-google.html http://www.jgc.org/blog/2008/11/testing-book-titles-using-go...

dangoldin 18y ago
The guy who wrote Super Crunchers did the same thing. Drank his own Kool Aid. http://www.google.com/search?q=super+crunchers&ie=utf-8&oe=utf-8&aq=t&rls=org.mozilla:en-US:official&client=firefox-a http://www.google.com/search?q=super+crunchers&ie=utf-8&...

jfarmer 18y ago

When I was working on Adonomics I built a system that does this across ad networks, similar to Project Rubicon.

drusenko 18y ago

as a point of clarification, the system greg's built goes much further than simple a/b testing. there are quite a few complications with implementing a genetic algorithm in the real world of constantly shifting preferences. once done right, it can efficiently optimize millions of permutations with millions of ad impressions (<2000 clicks). more permutations means more chance for improvement, and this just isn't possible with a simple a/b testing solution.