Peep Laja

CXL Live 2016 is coming up next March (get on the list to get tickets at pre-release prices). We’re going to publish video recordings of the previous event, and here’s the first one.

You run A/B tests – some win, some don’t. The likelihood of the tests actually having a positive impact largely depends whether you’re testing the right stuff.  Testing stupid stuff that makes no difference is by far the biggest reason for tests that end in “no difference”.

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ResearchXL

While testing is a critical part of conversion optimization to make sure we actually made things better and by how much, it’s also the tip of the iceberg of the full CRO picture. Testing tools are affordable (even free), and increasingly easier to use – so pretty much any idiot can set up and run A/B tests. This is not where the difficulty lies. The hard part is testing the right things, and having the right treatment.

The success of your testing program is a sum of these two: number of tests run (volume) and percentage of tests that provide a win. Those two add up to indicate execution velocity. Add average sample size and impact per successful experiment, and you get an idea of total business impact.

So in a nutshell, this is how you succeed:

  1. Run as many tests as possible at all times (every day without a test running on a page/layout is regret by default),
  2. Win as many tests as possible,
  3. Have as high impact (uplift) per successful test as possible.

Executing point #1 obvious, but how to do well for points #2 and #3? This comes down to the most important thing about conversion optimization – the discovery of what matters.

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A/B testing is great and very easy to do these days. Tools are getting better and better. As a result, people rely more and more on the tools. As a result, critical thinking is much less common.

It’s not fair to just blame the tools of course. It’s very human to try to (over)simplify everything. Now the internet is flooded with A/B testing posts and case studies full of bullshit data, imaginary wins. Be wary when you read any testing case study, or whenever you hear someone say “we tested that”.

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While mediocre people are dime a dozen, good people are always in demand. But good optimizers are in very high demand, everyone and their mother is trying to hire one. Alas they can be hard to find.  If you’re looking to hire one, what should you look for? What makes an optimizer a great optimizer?

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You should split test the headline first! Bollocks. The images! What a load of crap.

That’s the kind of advice most articles out there would give you. The truth is that answering “what to test first” is like answering “how much does a car cost?” – it depends.

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