Working with results

[CXL (CXL Playbooks)]

20 Playbooks

Analyze A/B test results

Get clearer and easier to understand results to help increase your conversion rates.

Declare a winner in an A/B test

Make decisions driven by user data and audience testing.

Archive the results of CRO experiments

Learn the best archival methods and tools for your CRO experiment data, your team, and your knowledge base needs.

Learn from other people's A/B tests

Run effective and reliable A/B tests.

Avoid the narrative fallacy in optimization

Understand how acting with discipline can increase your success in optimization.

Deal with outliers in data when running tests

Get a better understanding of data behavior and testing results.

Categorize and score testing issues

Increase your test analysis and generate better results.

Calculate a 95% confidence interval for relative difference in conversion rates

Add uncertainty estimates to A/B test results for better informed decisions.

Calculate statistical significance for absolute difference in conversion rates

Enrich conversion rate difference A/B test reports and allow for more informed decisions.

Calculate a 95% confidence interval for absolute difference in means

Enrich A/B test reports on continuous metrics with uncertainty estimates and make better informed decisions.

Turn insights into a data-driven testing roadmap

Build a CRO and A/B testing plan using insights from website engagement behavior and business data.

Analyze A/B test results

Improve your sales funnel and product.

How to improve A/B test results

Boost conversions and sales. 

Calculate the statistical power of A/B tests

Implement revenue-generating changes to your site based on testing.

Predict winning A/B tests

Optimize your A/B test to identify page elements that increase your ROI.

Gain statistically significant A/B test results

Make your optimization tests reliable and use quantitative data on user behavior to improve your website.

Segment A/B test results

Understand the different behaviors on your cohorts.

Calculate statistical significance for absolute difference in means

Evaluate A/B test results to make confident decisions while controlling business risk.

Present A/B test results to stakeholders

Gain support for making decisions based on data, not just emotion.

Estimate the standard deviation of continuous data

Get more actionable test results from non-binomial metrics.