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Original
2026-01-01
Modified
2026-03-06
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<h2>Significance</h2>
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<h2>Significance</h2>
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<p><strong>Short Description:</strong>Expressed as a percentage, significance shows whether a campaign or personalization is reliable to take an action depending on the impressions or uplift.</p>
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<p><strong>Short Description:</strong>Expressed as a percentage, significance shows whether a campaign or personalization is reliable to take an action depending on the impressions or uplift.</p>
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<p><strong>Long Description:</strong> For personalized A/B testing, usually a hypothesis is made and the statistical significance of the variations will define if the tests actually worked or not. A campaign or<a>personalization</a>is said to have high significance (or statistically significant ) if that particular personalization has shown visible effectiveness over its control group. This effectiveness is usually measured in terms of a positive change in the impressions or an increase in uplift of conversions or<a>average order values</a>. </p>
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<p><strong>Long Description:</strong> For personalized A/B testing, usually a hypothesis is made and the statistical significance of the variations will define if the tests actually worked or not. A campaign or<a>personalization</a>is said to have high significance (or statistically significant ) if that particular personalization has shown visible effectiveness over its control group. This effectiveness is usually measured in terms of a positive change in the impressions or an increase in uplift of conversions or<a>average order values</a>. </p>
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<p><strong>Why Should You Track Significance (AOVU)?</strong></p>
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<p><strong>Why Should You Track Significance (AOVU)?</strong></p>
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<p>While<a>A/B testing</a>, both the A version and B version will have different results and you would want to know if a particular personalization has actually worked. You would also want to compare two different personalizations and their effectiveness against the<a>control group</a>. Significance gives you the percentage of effectiveness, so you can pick the best performing version for further campaigns. A low significance indicates that your personalization is not working well and needs additional changes or a change in strategy. </p>
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<p>While<a>A/B testing</a>, both the A version and B version will have different results and you would want to know if a particular personalization has actually worked. You would also want to compare two different personalizations and their effectiveness against the<a>control group</a>. Significance gives you the percentage of effectiveness, so you can pick the best performing version for further campaigns. A low significance indicates that your personalization is not working well and needs additional changes or a change in strategy. </p>
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