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Most AB-tests will fail

jitbit.com

21–30 of 43 posts

Re: Most AB-tests will fail

#21
post #7
post #3

If all you test is the layout then, for the most part, you are Right! Right! Right! But... Even with little traffic, you can still achieve significant gains by focusing on the copy as opposed to the layout and colours. I learnt this mostly with Adwords. At the prices they charge now, you just have to find the gains wherever they are.

Same principle applies to copy, especially to microcopy. If you change a couple of words in a headline, it rarely makes a difference.

Depends where the copy is. Changing a couple of words in an email subject line can and often does make a huge difference. Of course the fine line you walk is that some of the most effective words at driving behavior (Free! Now!) are also effective at getting you marked as spam.

Re: Most AB-tests will fail

#23
post #18

#1 Its good to see a post using statistically significant sample sizes. Most articles on this topic that I have read either include sample sizes so embarrassingly tiny it raises questions if the author even understood his statistics class (30 to 300) to simply not including numbers at all. #2 If your audience is already pre-sold on your product when they visit your site, landing page changes won't be as meaningful. P…

In reverse order.

#3. For real companies with completely unmotivated visitors, 60% conversion rates from visitor to paying customer is untenable. 5% is probably too much to hope for.

#2. Absolutely. A/B tests should be focused on actual balanced decision points. "Should I sign up?" "Should I open this email?" "Should I go back to this site?" But not on people who are already committed to doing what they were going to do anyways.

#3. On sample sizes, it is important to think carefully about the maximum effort you're willing to put into a test. Be very, very cautious about accepting test results that arrive early. No, 99% confidence is not enough to stop with 200 conversions, and 99.9% probably isn't either. Don't worry about statistical significance when you kill tests that have run too long to be worth continuing. This is a line of reasoning that is sadly rare in our industry. (I keep meaning to write my next article on that topic. But http://elem.com/~btilly/ab-testing-multiple-looks/part2-limi... explains one way to come up with such a strategy.)

Re: Most AB-tests will fail

#24
post #21
post #7

Earlier quoted context omitted.

Same principle applies to copy, especially to microcopy. If you change a couple of words in a headline, it rarely makes a difference.

Depends where the copy is. Changing a couple of words in an email subject line can and often does make a huge difference. Of course the fine line you walk is that some of the most effective words at driving behavior (Free! Now!) are also effective at getting you marked as spam.

I think wording in the subject line is important, because it is the only thing a user sees. There are no other factors that affect whether he will open it or not.

Re: Most AB-tests will fail

#25
True, most A/B tests fail.

However looking at the listed tests, they mostly seem to be general branding tests. Changing your branding, including fairly major redesigns, reliably fails to make a difference.

But lots of other kinds of changes reliably do make a difference. Big button. Putting signup link in multiple places. The word "Free". Streamlining your form. (No, you don't want to ask for first/last name.) Email headlines. Providing relevant results first.

However they make small differences. You need to plan on tens of thousands of successful conversions in your test. You can make this easier by running multiple tests at once. If you're a small company, you can make conversion be "to the next step in the conversion funnel" instead of "to the end". (But be warned, companies that test long enough and get large enough tend to find examples of cases where that short cut burned them.)

However it is very important to set expectations. Expect to find few big wins. Expect most to be modest wins. Keep track. For an established company, if A/B testing is adding 5-20% to your bottom line each year, it is totally worthwhile. (If you have traffic and have not been testing, then odds are that your first year will find more than a 20% boost. But this declines in future years.)

A/B testing is a valuable tool. It isn't magic pixie dust.

Re: Most AB-tests will fail

#26
Most A/B testing will fail when you're testing the wrong elements.

I have a challenge for you.

The examples you list are "top" of the funnel tests: buttons for engagement, a homepage redesign.

But when I go deeper into your funnel like your pricing grid page and cart checkout page, I see lots of tweaks that, in my experience, can drive the significant gains that you are looking for.

I'm going to use this page as my starting point, by way of example:

http://www.jitbit.com/hosted-helpdesk/purchase/

When I click order now on the "Startup" plan and get myself to the cart page here was my experience:

a) The load time on click to page load for checkout was >3 seconds for me. You can get some idea of why here http://tools.pingdom.com/fpt/ or here http://www.webpagetest.org/

b) Your design changes drastically between those pages, breaking the user's flow and attention. 37signals products do a nice job of maintaining conformity between pricing grid to checkout as an example.

c) You're treating a SAAS checkout like a product checkout - asking about quantity, list price, etc. What % of your users add multiple services to the cart? Can you keep this in more of a flow?

d) You have no visible security certificate on the page at all, when in fact even the placement of your security certificate on checkout can make a drastic impact in conversion eg http://www.conversionvoodoo.com/blog/2010/07/proper-placemen...

e) Yes, some people are still confused by what a CVV2 / CVC2 code is and displaying a visual explanation can help your conversions.

So my challenge for you is focus on the RIGHT area on your page to test - your highest intent traffic and I think you will find that a lot fewer cycles need be wasted and A/B testing remains one of the highest ROI activities your org can embark on.

Re: Most AB-tests will fail

#27
post #2

> No company have ever increased the revenue by changing an insignificant detail like a button color. None. Zero. Get over it. This contradicts the article about A/B testing by Wired, which used the Obama campaign as an example. http://www.wired.com/business/2012/04/ff_abtesting

Couple points there:

#1 The article is very vague - the Obama team may have actually made a very common mistake and stopped the tests early when they hit a significant level (they were in a big rush at the time, they had days to get everything working, not months). We don't know anything about samples sizes, etc.

#2 The main detail they talk about changing was changing from a movie to a still picture. This is a lot different than changing a button's color - many people will see a movie and close the page if they are in a quiet environment such as work or a library.

So it could very well contradict the A/B testing article by Wired and still be correct - or it could be wrong. Contradiction itself is not a red flag here in something as new as A/B web testing.

Re: Most AB-tests will fail

#28
In my experience, sometimes a focus on A/B testing can extremely limit you.

How? Because sometimes you need a change in strategy, and A/B testing is more about changes in implementation of strategy.

For example, sometimes you need to do 'lead gen' instead of 'add to cart.'

Or, sometimes the answer to the problem is to spend a bunch of money on buying Facebook likes from Facebook, instead of tweaking your landing page design.

Or, better yet, sometimes the best strategy is to keep the landing page exactly the same, because it's already optimized, and focus on improving the product, so your customers will stick around longer.

That being said, always be ready to split test everything. And this means, always keep close track of your numbers.

Why? Because as your strategy shifts, you don't want to go blind. You'll have lots of implementation ideas, and you need to know which ones work best.

Re: Most AB-tests will fail

#29
post #26

Most A/B testing will fail when you're testing the wrong elements. I have a challenge for you. The examples you list are "top" of the funnel tests: buttons for engagement, a homepage redesign. But when I go deeper into your funnel like your pricing grid page and cart checkout page, I see lots of tweaks that, in my experience, can drive the significant gains that you are looking for. I'm going to use this page as my s…

Thanls a lot for taking your time to write this awesome comment!

The thing is we have very little control over the checkout area, since it is hosted by our payment provider and we cannot run tests there. We are not happy about it and we will move to Stripe as soon as it will be available outside of the US.

Really, thnaks a lot for this. I will look into this right now, maybe we could fix some of those.

EDIT: We've removed the quantity field from the SaaS products, never thought of that before, thanks.

Re: Most AB-tests will fail

#30
post #23
post #18

#1 Its good to see a post using statistically significant sample sizes. Most articles on this topic that I have read either include sample sizes so embarrassingly tiny it raises questions if the author even understood his statistics class (30 to 300) to simply not including numbers at all. #2 If your audience is already pre-sold on your product when they visit your site, landing page changes won't be as meaningful. P…

In reverse order. #3. For real companies with completely unmotivated visitors, 60% conversion rates from visitor to paying customer is untenable. 5% is probably too much to hope for. #2. Absolutely. A/B tests should be focused on actual balanced decision points. "Should I sign up?" "Should I open this email?" "Should I go back to this site?" But not on people who are already committed to doing what they were going to…

Looks at OP's point about traffic source. Its likely that ones of your traffic sources converts way better than 5%, while unqualified people straight from google will convert much lower.
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