Split Testing with a Genetic Algorithm

Posted: March 3rd, 2010 by ddn

I’ve got some interesting data following the ShoeMoney System launch that I want to share.

This time around I used genetify to do multi-variate testing with an optimizing algorithm. Let me show you why this is important.

Let’s say we got 50,000 unique visitors to our landing page.

3.0% conversion rate

5.0% conversion rate

So you say, great, orange converted better. So what? Everyone knows orange buttons convert better. Well you’re right, but we also tested some much more interesting things that I’m not willing to share. But, let me show you something more important.

Assume we had 50,000 unique visitors, with a $200 sale price.

50,000 * 3% = 1500 = $300,000
50,000 * 5% = 2500 = $500,000

If we had simply 50/50 split tested to SEE which result was better:

25,000 * 3% + 25,000 * 5% = $150,000 + $250,000 = $400,000

But using a genetic algorithm that optimized in real-time for the best conversion rate:

10,000 * 3% + 40,000 * 5% = $60,000 + $400,000 = $460,000

Because our algorithm optimized itself for the best conversion, we made an extra 15% in revenue.

The coolest thing about MVT with a genetic algorithm is that it will find combinations that work the best that you would never have dreamed of.

If you aren’t using the tools available, you are leaving money on the table.

Post written by David Dellanave

David is the CTO of ShoeMoney Media Group. He makes the gears turn in opposite directions.

More about David at http://www.dellanave.com!

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60 Comments. What Say You?

  1. Tom | Build That List
    March 3, 2010 at 2:44 pm

    You definitely want to be optimizing your landing pages for maximum profits! So is orange working better for your really or was that just an example?

  2. jtGraphic
    March 3, 2010 at 2:45 pm

    Heeeeyyyy I just read this on Dave’s blog… oh well…

  3. Joey Smith
    March 3, 2010 at 2:54 pm

    I would love to see more data on this type of optimization.

    Pretty kewl stuff. :)

    –Joey

  4. Jeff Dempey
    March 3, 2010 at 2:55 pm

    This is a great post to show clients. Some people hate testing because they would rather have their site look one way instead of converting better. Personally I’ll take 5% and a non matching button.

  5. Veles2003_2
    March 3, 2010 at 3:16 pm

    Great article. This is why I love ShoeMoney.com they are not afraid to tell some of the secrets that make them so successful !

  6. Jack
    March 3, 2010 at 3:19 pm

    Very interesting test. I knew colors made a difference but never knew the difference in percentage.

  7. Greg
    March 3, 2010 at 3:24 pm

    It’s interesting how some inane little thing can sometimes make such a big difference.

    I use green buttons. Would orange buttons work better on my site? How about red ones.

    You never know until you test.

    Sometimes one word, or even one period, can make a difference.

  8. S Ahsan
    March 3, 2010 at 3:29 pm

    Shoemoney’s success speaks for itself and the system..need not say much

  9. Tim Paulino
    March 3, 2010 at 3:46 pm

    On the version I saw, the button was orange, then green on the mouseover. Did the algorithm goes as far to find combinations like that?

    • PyrogenicMedia
      March 3, 2010 at 4:53 pm

      Actually not a bad question. I would think that you would want to go further then just the buy button, maybe images, video, header text etc. How many combination’s can it handle?

    • ddn
      March 3, 2010 at 5:38 pm

      Tim that was an oops in the CSS. Genetify itself however can handle basically an unlimited number of variables.

  10. Rick
    March 3, 2010 at 4:15 pm

    that’s an awesome tool! i mean look how much extra money this thing makes… def worth looking into.

  11. Andi | WebMarketerDepot
    March 3, 2010 at 4:17 pm

    Woah, that automatic optimizer is awesome…but if you know that orange button converts the best, what’s the point of testing it again and earn less than what you could have?

    • ddn
      March 3, 2010 at 4:49 pm

      Please read the article again.

      • Andi | WebMarketerDepot
        March 5, 2010 at 12:54 am

        Yeah, I’ve re-read it. And I still will ask my question above.

        I understand that you are testing a lot of other things than this orange button. But, as you said, orange button is proven to convert better (esp. in internet marketing niche, as many other marketing gurus have tested).

        Thus, there’s no point of testing the thing that have been proven to work again and again…but then Shoemoney have the money and resources to do it…so, I guess, why not?

        • Justin Goff
          March 5, 2010 at 8:14 am

          Just because orange converts better most of the time, doesnt mean it always will – thats why theyre testing…

          along with testing numerous other things on the page…

    • Jeremy Schoemaker
      March 3, 2010 at 8:44 pm

      The point is you dont know… and just because it might convert better from one traffic source doesnt mean it will for all.

  12. Mike Chiasson
    March 3, 2010 at 5:16 pm

    Wow that is a pretty neat idea to split testing. It really takes away from the traditional idea of split testing. I’m curious as to how the algorithm accept a decent sample size. As everyone knows there is a ton of numerous variables that could affect the effectiveness of the variations (color blindness, time of day, etc.) that really have no correlation on their general converting process.

    This is typically why most people would allow a split test to run over the course of say an entire day. However when you weigh the two out I think I will take the extra money in the shorter time anyways. I’ve never been fortunate enough to have an offer get 50k views in a day anyways lol.

  13. PPC Icon
    March 3, 2010 at 5:29 pm

    Yup thats a sick bit of kit.

  14. Veles2003_2
    March 3, 2010 at 6:04 pm

    Great stuff David

  15. ChrisGuthrie
    March 3, 2010 at 6:12 pm

    Thanks for the article Dave. Very interesting stuff, I had never heard of an algorithm that could self optimize.

    Any chance you’ll do a follow up post to share the other info you learned? If not no biggie I understand.

    Either way very interesting indeed.

    Chris

    • Jeremy Schoemaker
      March 3, 2010 at 8:43 pm

      As we get more data we will have some more interesting stuff.

  16. Jonathan Volk
    March 3, 2010 at 6:41 pm

    I love this type of stuff. Did you use google website optimizer or something different?

    Thx

  17. Wynne
    March 3, 2010 at 8:14 pm

    That tool looks sweet. And the pricing is not so bad either.

  18. Veles2003_2
    March 3, 2010 at 8:49 pm

    Great Stuff David

  19. neil802
    March 4, 2010 at 2:22 am

    Is that algorithm to become one the Shoemoney tools?

  20. Maximus
    March 4, 2010 at 2:38 am

    More outside the box thinking from Dave… this is great. Just goes to show the simplest things make all the difference.

  21. Damien Anderson
    March 4, 2010 at 3:32 am

    That is all well and good but the part regards MVT that I am as yet sold on is really that in order to test these variations to achieve an enlightened UX and conversion rate pairing, there is a need to serve a great amount of garbage to users. I would be interested to learn more on your thoughts about structuring MVT to minimise this potential negative audience impact.

    Thanks

    Damien

  22. ZK@Web Marketing
    March 4, 2010 at 5:50 am

    Great stuff Shoe, the landing page itself was very interesting…I actually did not see the changing colour of the tab ..I guess that why you are a millionaire and I am just another struggling blogger :)

  23. Dom A
    March 4, 2010 at 5:51 am

    Great post David – This is really useful info as we have been doing split testing and multivariate testing on our site sevenfigureblueprints.com.

    You can do lots of different variations but ultimately you want the best combination that will make the most money – and this seems to do that. The fact that is open source makes this all the more exciting!

    I’m off to check it out.

    Thanks again.

  24. Chris Pontine
    March 4, 2010 at 6:33 am

    I read an article on the color orange and they make a good point that we associate it with important, such as life vests and hunting gear, so from a social perspective many of us probably connect it in this way.

  25. fas
    March 4, 2010 at 7:16 am

    Oh ok, so this was a teaser?

  26. Andrew
    March 4, 2010 at 10:50 am

    The tool is cool, but if simply use a human mind, I think a sample size of 100 will already be enough to tell orange is better, then you will have 49900 * 5% instead… Isn’t it?

    Of course, it may useful when involve more combinations….

  27. Eric Itzkowitz
    March 4, 2010 at 12:02 pm

    @DDN

    WOW! This looks freaking fantastic! I am immediately sending this to our dev team and CEO.

    We, like most, use G’s Optimizer, but wow this looks good.

    Thanks for sharing such a nice resource.

    You guys rock!

  28. sean
    March 4, 2010 at 1:41 pm

    does this essientially help create and run a design of experiment?

  29. jtGraphic
    March 4, 2010 at 1:55 pm

    How did that make it past moderation?

  30. jtGraphic
    March 4, 2010 at 1:58 pm

    So, should one keep Genetify on all the time, or eventually move towards a split that works? I’d assume you’d always keep it on, but change the tests often?

  31. Anderson-Paulson-Williams
    March 4, 2010 at 2:13 pm

    After reviewing the new Shoemoney system we have found it to be a chock full of copyright infringements. Get a good lawyer now Sparky, we are going to be opening a big can of whoop ass on you that could last for years.

    David Paulson

    • Jeremy Schoemaker
      March 4, 2010 at 3:13 pm

      Dear Anonymous jackass.

      You come here every day with a different name and ip alleging random crap. You have threaten the lives of myself and my family. You think you have your computer to hide behind and I can’t find out who you are. You could not be more wrong. I am have spent a couple thousand dollars finding out who you are and what you do for a living. I look forward to sharing it with the world very soon.

    • Wynne
      March 4, 2010 at 3:44 pm

      lol. lame.

  32. krillz
    March 4, 2010 at 4:15 pm

    It’s like anything in life. We are built in such a way that we react to variations strongly as the brain picks that up to do calculations whether this new change is a threat to me or not, call it primal instinct or something left in our reptile part of the brain but it’s a fact.

    It’s proven that we react more to the colors orange/yellow than for example blue and green. And it has a very logical explanation, the first bunch of colors are not that common to our brain than the green and blue that the brain registers continously throughout the day and years and it has become a constant thing for us where the orange in this case is a variation from what the brain is used to registrating.

    Same thing with sounds, constant sound pretty much never grabs our attention, but put a variation to that and the brains starts letting you know about it straight away, could be something left from back in the days where variation in sound could be a animal sneaking up on you, today we see it used in alarms, police sirens etc to attract attention.

    Same thing with visual stimuli, you will notice something moving sideways instantly whereas something that approaches you or moves away from you is a lot harder to notice.

    Taking that behavioral science class really was worth it, great fun if you have the oppertunity to take one then think it through as I don’t regret it at all and you will never see the world in the same way again.

  33. satilik
    March 4, 2010 at 4:46 pm

    Is that algorithm to become one the Shoemoney tools

  34. Build Web Traffic
    March 5, 2010 at 4:38 am

    I think that orange is more inviting as a color. It sounds funny but this is why you are who you are. People do the same things, but those that make the small, yet huge discoveries from testing and trials are the guys that stand above the rest with proven results. Thanks for sharing as always.

  35. Alex
    March 5, 2010 at 8:14 am

    Love the way he says -

    “but we also tested some much more interesting things that I’m not willing to share.”

    Translation – You’re not IN with the in-crowd so crawl back under the rock you came from :)

    Apart from that a good article.

  36. Malpractice
    March 5, 2010 at 12:44 pm

    You *assume* 50,000 unique visitors, so how many visitors was it real-life?

    Also, was this the exact button you used?
    Interested to know …

  37. Udi
    March 5, 2010 at 1:54 pm

    Awww man, I didn’t know this exists. I wanted to invent it on my own. I have a Ph.D. in genetic algorithms (more specifically, the broader field: Evolutionary Computation) and this is one of the first implementations of affiliate marketing and genetic algorithms I wanted to do – just didn’t have the time to work on it, currently focusing on plain affiliate marketing.

    Oh well. Got plenty more of ideas ;) Nice to see that it works – not that I had any doubt.

    • Andy
      March 7, 2010 at 6:00 am

      @Udi

      I have the same interest as you, and was thinking like you that it was my idea.

      It’s certainly a fascinating subject, the idea of automatically optimizing elements of web sites.

      • Sean
        March 12, 2010 at 12:31 pm

        Haha, scientists unite on this post!

        In my field, we perform a function called simulated annealing to avoid local minimums, which should be applicable in this scenario.

        The idea is that if you only change one variable at a time such as in this case color. You can only maximize your results on that one particular variable. In other words, you have found a local minimum. I am new to this, but currently it seems the method to attain the global minimum (max conversion) seems to be adjusting one variable, track it, repeat – this post is cool because it adjusts in real time.

        Perhaps the next level is to allow ‘all’ variables to adjust simultaneously (widget position, color, pictures, text, copy, etc…) have variables weighted so that you don’t get complete nonsense displayed.

        The website would automatically adjust as mentioned in this post to maximize conversion.

  38. FM
    March 5, 2010 at 4:33 pm

    Good stuff. Orange color usually make better conversion but not always. It depends on the target audience and the product or service you offer. Yes, Amazon, ebay, they use orange but iTune doesn’t. Why? I believe that’s all about design.

  39. scheng1
    March 6, 2010 at 7:32 am

    That’s interesting. I wonder what is the conversion rate for using a bloody-red button?

  40. World Travel
    March 6, 2010 at 12:48 pm

    Yes, this research is quite interesting. I know that psychology is quite important is shopping, advertising and other internet actions. If you know how to make people clicking more, this will be great

  41. a web developer
    March 6, 2010 at 7:53 pm

    When I go to the ShoeMoney System link I see the less converting green Add to Cart button? Are you still doing a/b testing with it?

  42. Jason
    March 7, 2010 at 12:05 am

    Interesting study yeah it shows anything that is not real bland will get more clicks banners, sign up now buttons, whatever it may be!

  43. adsense alternatives
    March 8, 2010 at 12:44 pm

    Thanks. I’m gonna have to try this.

  44. Eric Bridges
    March 9, 2010 at 12:43 am

    I really liked this post. Your formula will help articulate the importance of what clients see as the “small” things into real time results. There was a good post on contact forms and how the “Mad Libs” version of the contact form converted at a much better rate. Imagine if they had evaluated conversion with your formula! http://www.lukew.com/ff/entry.asp?1007

  45. Farinha
    March 16, 2010 at 5:45 am

    This looks like powerful stuff. Will certainly consider it for my future projects.

  46. multivariate testing and digital optimization insider
    June 5, 2010 at 6:45 pm

    The benefits of a more holistic optimization and marketing approach can be extended beyond content used to attract leads and sales. There other types of search that can drive or benefit business including customer service related content, job listings and news content. Each has it�s own audience to consider and therefore, a different context for optimization.

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