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How to Use UX Research to Create Smarter A/B Test Variations

ConversionXL

A/B testing is common practice and it can be a powerful optimization strategy when it’s used properly. Plus, the Internet is full of “How We Increased Conversions by 1,000% with 1 Simple Change” style articles. Unfortunately, there are experimentation flaws associated with A/B testing as well.

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The Best Lead Generation Software Options For Your Business

ClickFunnels

Collect email addresses (either via native email marketing functionality or via a third-party integration). There are a ton of lead generation apps out there that do not offer the full functionality required to build a lead generation funnel. Instead, they focus on just one element of it, e.g. landing pages, pop-ups, etc.

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Using Cohort Analysis for Conversion Optimization

ConversionXL

With all the talk about A/B testing, it’s easy to forget there are other methods of measuring the effects of experimentations, such as cohort analysis. Whereas an A/B test is a cross-sectional study , a cohort experiment is a longitudinal study. Customers that converted in the last year that paid up-front.

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What is A/B Testing? The Complete Guide: From Beginner to Pro

ConversionXL

A/B testing splits traffic 50/50 between a control and a variation. A/B split testing is a new term for an old technique — controlled experimentation. Yet for all the content out there about it, people still test the wrong things and run A/B tests incorrectly. Table of contents What is A/B testing?

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There is Nothing Magical About 95% Statistical Significance

ConversionXL

You are probably ending your A/B tests either too early or too late. The standard best practice in the conversion optimization industry is to wait until two conditions have been met before ending an A/B test. Second, that the winner of the test can be declared with 95% certainty or greater. Conversions.

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How to Find Correlative Metrics For Conversion Optimization

ConversionXL

When you’re doing conversion optimization , one of the hardest parts is finding opportunity areas to optimize. Finding places people are dropping out is important in setting up a prioritized testing plan. Now, you don’t know why – there’s no causal link between searching and conversion. Correlation vs Causation.

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How to Grow Your App Startup Organically with App Store Optimization (ASO)

ConversionXL

In this post, we’re sharing how ASO helps you increase traffic and downloads, the specific on-metadata vs. off-metadata factors that matter, and how to leverage ASO mechanics to maximize conversions. How to leverage app store optimization (ASO) to improve app visibility, conversion rates, and retention.

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