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All Things Data-Driven Marketing

Usability Test Reporting: Spend Less Time, Have More Impact

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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Confirmation email

Confirmation emails are usually as delightful as your typical in-store receipt (read: not at all delightful).

Because these emails are triggered by the user’s actions, your customers are expecting something—which means they open, notice, and engage with confirmation emails more than they might with other email types.

This post will explain why confirmation emails come at a critical stage in the customer lifecycle, the three steps to make confirmation emails succeed are, and the limits of confirmation emails as a strategy.

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