add screenshot [netlify-build]

segmentio · Nov 26, 2024 · 43adbd4 · 43adbd4
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diff --git a/src/unify/Traits/predictions/using-predictions.md b/src/unify/Traits/predictions/using-predictions.md
@@ -31,7 +31,7 @@ Predictions rank your customers by their likelihood to perform a specific conver
 
 For each custom prediction, Segment monitors the percentile cohort where customers were ranked when they performed the predicted conversion event. After around 7 days, Segment creates a graph data visualization, allowing you to evaluate the prediction’s accuracy based on real workspace data.
 
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+![Bar chart showing conversion history across percentile cohorts. The top 10% cohort has the highest number of conversions, followed by the 81-90% cohort, with decreasing conversions as cohorts move lower in the percentile range.](../../images/model_monitoring.png)
 
 For example, suppose you're predicting the likelihood of customers completing an `order_completed` event. The graph shows that:
 

diff --git a/src/unify/images/model_monitoring.png b/src/unify/images/model_monitoring.png
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Expand Up		@@ -31,7 +31,7 @@ Predictions rank your customers by their likelihood to perform a specific conver

		For each custom prediction, Segment monitors the percentile cohort where customers were ranked when they performed the predicted conversion event. After around 7 days, Segment creates a graph data visualization, allowing you to evaluate the prediction’s accuracy based on real workspace data.


		![Bar chart showing conversion history across percentile cohorts. The top 10% cohort has the highest number of conversions, followed by the 81-90% cohort, with decreasing conversions as cohorts move lower in the percentile range.](../../images/model_monitoring.png)

		For example, suppose you're predicting the likelihood of customers completing an `order_completed` event. The graph shows that:

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