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Fix Predictive Traits typo
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src/engage/audiences/predictive-traits/using-predictive-traits.md

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@@ -62,7 +62,7 @@ Predictions are most effective in the following situations:
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- **When your desired outcome is difficult to measure and not clearly defined**, like activation, retention, engagement, or long-term value Journeys.
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- **When your product has more than 100,000 average monthly users**; smaller sample sizes lead to less accurate statistical conclusions.
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- **When you need to save time building cohorts**; Predictive Traits lets marketers access and take action on predictive data without the help of data science teams, while also giving data teams out-of-the-box
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- **When you need to save time building cohorts**; Predictive Traits lets marketers access and take action on predictive data without the help of data science teams, while also giving data teams out-of-the-box machine learning models they can use in downstream tools.
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### When other approaches work better
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