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Upleveling A/B Testing with AI for Conversion Optimization

FunnelEnvy

Source: FinancesOnline The testing process involves randomly showing users two or more page variants and then using statistical analysis to determine which version performs better. Other assets testers can analyze include landing pages, display ads, buttons, and headlines.

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9 Types of Web Analytics Tools — And How to Know Which Ones You Really Need

Parse.ly

A/B and multivariate testing tools. Custom scripts let you display discount messages or newsletter opt-ins based on actions by the customer that you set as triggers. A/B and multivariate testing tools. Some social analytics tools provide analysis only, while others let you manage your posts, too. Content analytics tools.

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A/B Testing Statistics: Why Statistics Matter in Experimentation

Convert

While a platform like Convert Experiences can take care of all the statistical measuring, reasoning, and analysis for you, having a basic understanding of some statistical terms will certainly help you. Hence, the p-value is a mathematical device to check the validity of the null hypothesis.

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9 Types of Web Analytics Tools — And How to Know Which Ones You Really Need

Parse.ly

A/B and multivariate testing tools. Custom scripts let you display discount messages or newsletter opt-ins based on actions by the customer that you set as triggers. A/B and multivariate testing tools. Some social analytics tools provide analysis only, while others let you manage your posts, too. Content analytics tools.

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Learn The ABCs of Email A/B Testing

Salesforce Marketing Cloud

The “A” version is displayed to some of your audience, while another subset gets the “B” version. Analysis: After a predetermined time, the results are analyzed to determine which variation was more effective in achieving the desired goal. And, learning from your results involves a ton of data analysis.

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57 Common A/B Testing Mistakes & How to Avoid Them

Convert

No pre-test analysis. They get an idea for a change and want to test it out, but with no real analysis of how the page currently converts, or even why the change they are testing could make a difference. (It Adding arbitrary display rules to your test. Not checking validity after the test. Have others?