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| Event Types | Track at least 5 different event types in the Feature Window. |
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| Historical Data | Ensure these 5 events have data spanning 1.5 times the length of the Target Window. For example, to predict a purchase propensity over the next 60 days, at least 90 days of historical data is required.|
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| Subset Audience (if applicable) | Ensure the audience contains more than 1 non-anonymous user. |
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| User Limit | Ensure that you are making a prediction for fewer than 10 million users. If you track more than 10 million users in your space, define a smaller audience in the **Make a Prediction For** section of the custom predictions builder. |
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| User Activity | At least 100 users performing the Target Event and at least 100 users not performing the Target Event. |
| Event Types | Track at least 5 different event types in the Feature Window.|
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| Historical Data | Segment requires historical data spanning at least 3 times the length of the target window. For example, a 30-day window requires 90 days of past data. |
90
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| Subset Audience (if applicable) | Ensure the audience contains more than 1 non-anonymous user. |
91
+
| User Limit | Ensure that you are making a prediction for fewer than 10 million users. If you track more than 10 million users in your space, define a smaller audience in the **Make a Prediction For** section of the custom predictions builder. |
92
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| User Activity | At least 100 users performing the Target Event and at least 100 users not performing the Target Event.|
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