2 min read
Prioritizing tests with the ICE framework
Too many test ideas and not enough traffic to run them? The ICE framework scores each one by impact, confidence and ease so you decide what to test first.
Practical guides on experimentation, personalization, statistics and AI agents, written by the team that builds Bixlow and runs CRO programs every week.
2 min read
Too many test ideas and not enough traffic to run them? The ICE framework scores each one by impact, confidence and ease so you decide what to test first.
2 min read
Quantitative data tells you what is happening; qualitative data tells you why. Learn how to combine both to build sharper hypotheses and win more A/B tests.
2 min read
Mobile drives most of your traffic, yet testing for it isn't the same as desktop. See how screen, context and speed reshape the way you design, segment and measure.
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Winning tests fade, but documented learnings compound. Here's what to record, how to build a searchable experiment repository, and how to share insights across the org.
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Your A/B test came back flat? A tie isn't a failure. Learn how to read an inconclusive result, what to do next, and how to turn it into real learning.
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An A/B test promises objectivity, but only when it's free of bias. Learn the hidden biases that quietly corrupt your results and how to keep every experiment honest.
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Images shape the first impression more than copy does. Learn what to A/B test in photos, videos and design, and how to measure their real impact on conversion.
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The CTA is where intent turns into action. Learn what to test, in what order, and how to measure conversions without being fooled by surface-level clicks.
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Your headline is the first thing visitors read, and often the only thing. Learn what to test, how to isolate the change and how to measure its real impact on conversion.
2 min read
Multivariate testing reveals how page elements interact, but it devours traffic. Learn how MVT works, how it differs from A/B/n and when it really pays off.