Alex Birkett

Client side server side ab testing

Marketers of all stripes are obsessed with tools.

This obsession has bred comprehensive lists of growth tools, SEO tools, and general online marketing tools. It is no different with us in conversion optimization. We nerd out on testing tools.

Though no optimization program has ever hinged on which tool you used, there are important distinctions between A/B testing tools—from the statistics they use, their price, and more.

One thing that is often either overlooked or misunderstood is the difference between client-side and server-side testing tools.

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person writing product descriptions in notebook

Most product descriptions are either terrible or non-existent and often overlooked by brands in conversion optimization strategies. But for companies doing it right, writing excellent product descriptions is a great way to sprinkle brand personality in a place most people don’t expect.

In fact, some companies do product copy so well that it’s almost a feature of the product itself. But, is product page copy actually that important?

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AB testing statistics

Testing tools are getting more sophisticated. Blogs are brimming with “inspiring” case studies. Experimentation is becoming more and more common for marketers. Statistical know-how, however, lags behind.

This post is filled with clear explanations of A/B testing statistics from top CRO experts. A/B testing statistics aren’t that complicated—but they are that essential to running tests correctly.

Here’s what we’ll cover (feel free to jump ahead):

  1. Mean, variance, and sampling;
  2. Statistical significance;
  3. P-values;
  4. Statistical power;
  5. Confidence intervals and margin of errors;
  6. Regression to the mean;
  7. Segmenting;
  8. Confounding variables and external factors.

And just in case you’re uncertain about why A/B testing statistics are so essential…

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