All Things Growth and Marketing

“How do I come up with a unique value proposition? What I sell isn’t unique.”

If you’re working on improving your business, you know there’s no shortage of information about why you need a unique value proposition.

You’ve probably even seen a handful of solid examples, but when you go to write your own, you hit a wall.

You’ve got too many competitors, they’re selling the same stuff, and it looks like all the good value propositions are taken.

What can you do? What should you differentiation strategy be?

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Usability testing is one of the most effective ways to uncover issues that users have on your website or app. It works whether you’re a behemoth with millions of users or a startup that’s just left the proverbial garage.

The problem is that usability testing takes time—time to recruit participants, moderate and watch videos, and compile results.

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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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